Badges

Pass our exams and earn globally recognized Digital Badges and share them across your social media accounts.

What are Digital Badges?

A Digital Badge is a cross-industry digital recognition of technical skills which can be shared on your social and professional networking sites, as well as your digital signature.


IBM is supporting this new program, based on open standards, through the creation of a wide variety of badges covering a multitude of technical and professional areas.

How it helps you to stand out in the market?

Globally recognized

IBM credentials are valued and recognized by the global IT industry. Once you have completed the requirements of a badge, it takes approximately 5 to 10 business days for you to receive an email asking you to claim your badge. IBM leverages the services of Pearson VUE Acclaim (a 3rd party) to assist in the administration of the IBM Digital Badge Program. In order to issue you an IBM Digital Badge, your name, email address and badge earned will be shared with Pearson VUE Acclaim, who will treat your details in a manner consistent with IBM's policies. You will receive a notification from Acclaim at which point you will have the option to accept the badge.

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Easy Sharing Options

As soon as a badge is acquired, you have the option to share your badge to many social media sites available and to add it to your digital signature.

Employment Opportunities

IBM Digital Badges demonstrate the level of proficiency and related technical skills a graduate has achieved. Potential employers will be able to use this as part of their recruiting process.

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Badge Offerings

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Explorer Award

The Explorer Award badge represents achievements on the part of the learner who is in the earlier stages of acquiring knowledge and developing skills for a particular area of interest. Activities associated with Explorer badges include instructor led training, self-directed learning assignments, workshops, mentoring sessions, and quizzes or assessments.

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Mastery Award

The Mastery Award badge is awarded to individuals who have successfully completed and passed the IBM Skills Academy final exam. This badge is typically associated with the learner who has achieved and demonstrated a high level of understanding of the topic represented by passing the final exam.

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Instructor Award

The Instructor Award badge reflects demonstrable skills achievement and is associated with the individual who has reached a higher level of proficiency for a particular area of interest, badge holders will already be holders of a Mastery Badge, and will have successfully delivered the associated course to one or more groups of students.

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Author Award

The Author Award badge is awarded to subject matter experts who have actively contributed to the development of one or more courses and/or the associated exams. The individual will have extensive experience with in the technology area and will be regarded by peers as an expert.

Find Your Badge

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Note: In order to earn any of our badges, you need to belong to an institution or organization that is registered in the Skills Academy Program.
To request access, please Contact Us.

Data Scientist

Big Data Engineer

Students

Explorer Award

Explorer

Description

Through an instructor-led classroom, this badge earner has demonstrated the ability to use Big Data methodologies to collect & analyze large amounts of data from different sources, using IBM Watson Studio and Open Source Tools. This individual has demonstrated an understanding of topics such as Apache Hadoop, Ambari, Spark, Big SQL, HDFS, YARN, MapReduce, ZooKeeper, Knox, Sqoop, and HBase.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Completion of Module I - Big Data Overview: Introduction to Big Data; Examples of Big Data; The 4Vs; Types of Big Data; Big Data in the Industry; Big Data and Internet of Things.
  • Completion of Module II - Big Data Engineer: Introduction to Big Data & Data Analytics; Introduction to HDP; Apache Ambari & Spark; Hadoop & HDFS; MapReduce & YARN; Storing & querying data; ZooKeeper, Slider & Knox, Loading data with Sqoop; Security & Governance; Stream Computing, Data Science Open Source Tools, Getting started with Jupyter; Using Big SQL to access data in HDFS; Configuring Big SQL security; IBM Watson Studio.
  • Passed the Big Data Engineer 2018 academic practice test.

Students

Mastery Award

Mastery

Description

The badge earner has a proven expertise to use Big Data methodologies to collect & analyze large amounts of data from different sources, using IBM Watson Studio and Open Source Tools. The badge earner has demonstrated advanced proficiency on topics such as Apache Hadoop, Ambari, Spark, Big SQL, HDFS, YARN, MapReduce, ZooKeeper, Knox, Sqoop, and HBase.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Received the "Big Data Engineer - Explorer Award 2018" badge.
  • Passed the IBM Proctored Exam for "Big Data Engineer 2018".
Business Intelligence Analyst

Business Intelligence Analyst

Students

Explorer Award

Explorer

Description

Through a faculty-led student education, this badge earner has demonstrated the ability to consolidate data gathered from several sources, and run queries catered to build business reports, using IBM Cognos Analytics. This individual has demonstrated an understanding of topics such as using lists, crosstabs, charts, prompts, calculations, drill-through definitions, queries, macros, bursting report, Active Reports, and enhancing reports using HTML.

Criteria

  • Must be a student of the IBM Skills Academy with no prior professional experience.
  • Completion of Module I - Analytics Overview: Covering Business Analytics Overview, Trends, Case Studies; Understanding Business Intelligence and Analytics.
  • Completion of Module II - Business Analytics Foundations: Covering Business Intelligence Overview; Reports and Metadata models.
  • Completion of Module III - Business Intelligence Analyst: Covering Introduction of Reporting Application, List Reports and Crosstab Reports, Focus Reports Using Filters, Charts and RAVE Visualizations, Parameters and Prompts, Calculations, Drill-Through Definitions; Enhancing Report layouts, Query models and relationships (using SQL), Advanced dynamic reports, Using effective prompts, Report distribution through Bursting, Enhance user interaction with HTML.
  • Passing the Business Intelligence Analyst academic practice test.

Students

Mastery Award

Mastery

Description

This badge earner has proven expertise to consolidate data gathered from several sources, and run queries catered to build business reports, using IBM Cognos Analytics Authoring. The badge earner has demonstrated advanced proficiency in topics such as using lists, crosstabs, charts, prompts, calculations, drill-through definitions, queries, macros, bursting report, Active Reports, and enhancing reports using HTML.

Criteria

  • Must be a student of the IBM Skills Academy with no prior professional experience.
  • Completion of Module I - Analytics Overview: Covering Business Analytics Overview, Trends, Case Studies; Understanding Business Intelligence and Analytics.
  • Completion of Module II - Business Analytics Foundations: Covering Business Intelligence Overview; Reports and Metadata models.
  • Completion of Module III - Business Intelligence Analyst: Covering Introduction of Reporting Application, List Reports and Crosstab Reports, Focus Reports Using Filters, Charts and RAVE Visualizations, Parameters and Prompts, Calculations, Drill-Through Definitions; Enhancing Report layouts, Query models and relationships (using SQL), Advanced dynamic reports, Using effective prompts, Report distribution through Bursting, Enhance user interaction with HTML.
  • Passing the IBM Proctored Exam for "IBM Business Intelligence Analyst 2018".
Predictive Analytics Modeler

Predictive Analytics Modeler

Students

Explorer Award

Explorer

Description

Through an instructor-led classroom, this badge earner has demonstrated the ability to forecast and predict future probabilities and trends, and analyze insights from your data, using IBM SPSS Modeler and IBM Watson Studio. This individual has demonstrated an understanding of topics such as data preparation, data mining, data collection & integration, nodes & streams, deriving & reclassifying fields, predictive models, and statistical analysis.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Completion of Module I - Analytics Overview: Business Analytics Overview, Trends, Case Studies; Understanding Business Intelligence and Analytics.
  • Completion of  Module II - Business Analytics Foundations: Introduction to Data Mining CRISP-DM.
  • Completion of Module III - Predictive Analytics Modeler: Nodes and streams; Initial data mining, storage and field measurement; Understanding the data; Integrating data; Looking for relationships (matrix, distribution, means, etc); Functions (conversion, string, and statistical); Data transformation; Sampling, partitioning, and balancing data; IBM Watson Machine Learning; Data Refinery & AutoAI; neural networks & deep learning; Automating data preparation, model training, and deployments.
  • Passing the Predictive Analytics Modeler 2020 practice test.

Students

Mastery Award

Mastery

Description

Through an instructor-led classroom, this badge earner has demonstrated the ability to forecast and predict future probabilities and trends, and analyze insights from your data, using IBM SPSS Modeler and IBM Watson Studio. This individual has demonstrated an understanding of topics such as data preparation, data mining, data collection & integration, nodes & streams, deriving & reclassifying fields, predictive models, and statistical analysis.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Received the Predictive Analytics Modeler - Explorer Award 2020 badge
  • Passing the IBM Proctored Exam for Predictive Analytics Modeler 2020.
Security Intelligence Engineer

Security Intelligence Engineer

Students

Explorer Award

Explorer

Description

Through a faculty-led student education, this badge earner has demonstrated the ability to correlate events and flows from a variety of applications and devices, establish enterprise security rules, monitor policy compliance, and provide threat detection, using IBM QRadar SIEM. This individual has demonstrated an understanding of topics such as investigating offenses identified from events and flows, and create operational rules.

Criteria

  • Must be a student of the IBM Skills Academy with no prior professional experience.
  • Completion of Module I - Cyber Security Overview: Covering Status quo of IT Security ; and Security Intelligence and Operations.
  • Completion of Module II - Security Intelligence Foundations: Covering Designing a Security Intelligence Solution; and Security Intelligence functional components.
  • Completion of Module III - Security Intelligence Analyst: Covering Collecting and processing events, flows, and vulnerability data; Investigating an offense that is triggered by events; Investigating the events of an offense; Using asset profiles to investigate offenses; Investigating an offense that is triggered by flows; False positives overview; Investigating superflows; Using rules and building blocks; Creating SIEM reports; and Performing advanced filtering.
  • Passing the Security Intelligence Analyst academic practice test.

Students

Mastery Award

Mastery

Description

The badge earner has a proven expertise to correlate events and flows from a variety of applications and devices, establish enterprise security rules, monitor policy compliance, and provide threat detection, using IBM QRadar SIEM. The badge earner has demonstrated advanced proficiency on topics such as investigating offenses identified from events and flows, and create operational rules.

Criteria

  • Must be a student of the IBM Skills Academy with no prior professional experience.
  • Completion of Module I - Cyber Security Overview: Covering Status quo of IT Security; and Security Intelligence and Operations.
  • Completion of Module II - Security Intelligence Foundations: Covering Designing a Security Intelligence Solution; and Security Intelligence functional components.
  • Completion of Module III - Security Intelligence Analsyt: Covering Collecting and processing events, flows, and vulnerability data; Investigating an offense that is triggered by events; Investigating the events of an offense; Using asset profiles to investigate offenses; Investigating an offense that is triggered by flows; False positives overview; Investigating superflows; Using rules and building blocks; Creating SIEM reports; and Performing advanced filtering.
  • Passing the IBM Proctored Exam for "IBM Security Intelligence Analyst 2016".
Cloud Application Developer

Cloud Application Developer

Students

Explorer Award

Explorer

Description

Through an instructor-led classroom, this badge earner has demonstrated the ability to build, run, deploy, and develop applications on a cloud development platform, using IBM Cloud. This individual has demonstrated an understanding of topics such as Cloud Computing, Kubernetes, Cloud Foundry, DevOps, REST Architecture, Watson APIs, Web Architecture, Cloud Security, Node.js, Express Framework, ECMAScript and React.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Completion of Module I - Cloud Application Foundations: Introduction to HTML5 and JavaScript programming
  • Completion of Module II -Cloud Application Developer 2019: Intro to cloud computing; Intro to IBM Cloud; Cloud Foundry apps on IBM Cloud; DevOps approach with IBM Continuous Delivery; REST architecture & Watson APIs; Data services in IBM Cloud; IBM Cloud with Cloudant; Containerized applications on Kubernetes; IBM Kubernetes Service clusters; Server-side JavaScript; Asynchronous I/O w/ callback; Express web application framework; Async patterns w/ ECMAScript; Rich UI application with React & ES8
  • Passed the Cloud Application Developer 2019 practice test.

Students

Mastery Award

Mastery

Description

This badge earner has proven expertise to build, run, deploy, and develop applications on a cloud development platform, using IBM Cloud. The badge earner has demonstrated advanced proficiency on topics such as Cloud Computing, Kubernetes, Cloud Foundry, DevOps, REST Architecture, Watson APIs, Web Architecture, Cloud Security, Node.js, Express Framework, ECMAScript and React.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Received the "Cloud Application Developer 2019 - Explorer Award" badge.
  • Passed the IBM Proctored Exam for "Cloud Application Developer 2019".
Artificial Intelligence Analyst

Artificial Intelligence Analyst

Students

Explorer Award

Explorer

Description

Through an instructor-led classroom, this badge earner has demonstrated the ability to apply machine learning algorithms and build AI solutions by using IBM Watson. This individual has demonstrated an understanding of topics such as AI, Natural Language Processing (NLP), chatbots, and computer vision, using Watson Assistant, Discovery, Machine Learning, Watson Studio, Knowledge Studio, Visual Recognition, Tone Analyzer, and Natural Language Understanding.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Completion of Module I - Artificial Intelligence Overview: Introduction to artificial intelligence; AI types, integral components of AI systems; Factors that influenced the evolution of AI; Applications of AI in the industry, government, and science; Business analytics.
  • Completion of Module II - Artificial Intelligence Prerequisites: Introduction to IBM Watson; IBM Watson applied to industry; Business and science; IBM Watson use cases; Evolution from DeepQA to Watson services; Watson services overview.
  • Completion of Module III - Artificial Intelligence Analyst: Applying machine learning algorithms; Exploring Watson services; Watson Studio; Watson Machine Learning; Exploring Deep Learning and Neural Network; NLP concepts and components; Discovery; Creating a machine learning model; Watson Assistant; building chatbot solutions; Computer vision; Classifying images with Watson Visual Recognition; Creating a cognitive banking chatbot; Integrating Watson Knowledge Studio with Discovery.
  • Passed the Artificial Intelligence Analyst 2019 practice test.

Students

Mastery Award

Mastery

Description

This badge earner has proven expertise to apply machine learning algorithms and build AI solutions by using IBM Watson. The badge earner has demonstrated advanced proficiency in topics such as AI, Natural Language Processing (NLP), chatbots, and computer vision, using Watson Assistant, Discovery, Machine Learning, Watson Studio, Knowledge Studio, Visual Recognition, Tone Analyzer, and Natural Language Understanding.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Received the "Artificial Intelligence Analyst - Explorer Award 2019" badge.
  • Passing the IBM Proctored Exam for "Artificial Intelligence Analyst 2019".
Data Scientist

Big Data Engineer

Educators

Explorer Award

Explorer

Description

Through an instructor-led classroom, this badge earner has demonstrated the ability to use Big Data methodologies to collect & analyze large amounts of data from different sources, using IBM Watson Studio and Open Source Tools. This individual has demonstrated an understanding of topics such as Apache Hadoop, Ambari, Spark, Big SQL, HDFS, YARN, MapReduce, ZooKeeper, Knox, Sqoop, and HBase.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Completion of Module I - Big Data Overview: Introduction to Big Data; Examples of Big Data; The 4Vs; Types of Big Data; Big Data in the Industry; Big Data and Internet of Things.
  • Completion of Module II - Big Data Engineer: Introduction to Big Data & Data Analytics; Introduction to HDP; Apache Ambari & Spark; Hadoop & HDFS; MapReduce & YARN; Storing & querying data; ZooKeeper, Slider & Knox, Loading data with Sqoop; Security & Governance; Stream Computing, Data Science Open Source Tools, Getting started with Jupyter; Using Big SQL to access data in HDFS; Configuring Big SQL security; IBM Watson Studio.
  • Passed the Big Data Engineer 2018 academic practice test.

Educators

Mastery Award

Mastery

Description

The badge earner has a proven expertise to use Big Data methodologies to collect & analyze large amounts of data from different sources, using IBM Watson Studio and Open Source Tools. The badge earner has demonstrated advanced proficiency on topics such as Apache Hadoop, Ambari, Spark, Big SQL, HDFS, YARN, MapReduce, ZooKeeper, Knox, Sqoop, and HBase.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Received the "Big Data Engineer - Explorer Award 2018" badge.
  • Passed the IBM Proctored Exam for "Big Data Engineer 2018".

Educators

Instructor Award

Explorer

Description

This badge earner has delivered the program course on how to use Big Data methodologies to collect & analyze large amounts of data from different sources, using IBM Watson Studio and Open Source Tools. This individual has demonstrated proficiency teaching students topics such as Apache Hadoop, Ambari, Spark, Big SQL, HDFS, YARN, MapReduce, ZooKeeper, Knox, Sqoop, and HBase.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Received the "Big Data Engineer - Explorer Award 2018" badge.
  • Teaching of Module II - Big Data Engineer: Introduction to Big Data & Data Analytics; Introduction to HDP; Apache Ambari & Spark; Hadoop & HDFS; MapReduce & YARN; Storing & querying data; ZooKeeper, Slider & Knox, Loading data with Sqoop; Security & Governance; Stream Computing, Data Science Open Source Tools, Getting started with Jupyter; Using Big SQL to access data in HDFS; Configuring Big SQL security; IBM Watson Studio.
  • Teaching the course under the supervision of a qualified instructor, and receiving teaching approval from the supervising instructor.
  • Delivering the training to at least 15 university students, faculty members, and/or professionals, and having 60% of the audience pass the final exam.

Educators

Author Award

Explorer

Description

The badge earner has developed and published a university course to educate students on how to use Big Data methodologies to collect & analyze large amounts of data from different sources, using IBM Watson Studio and Open Source Tools. The author has developed assets that teach students topics such as Apache Hadoop, Ambari, Spark, Big SQL, HDFS, YARN, MapReduce, ZooKeeper, Knox, Sqoop, and HBase.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Must be a Big Data Subject Matter Expert who is contributing to the development of assets for the learning journey's Module 1 (overview), Module 2  (pre-requisites), and Module 3 (Big Data Engineer).
  • Must validate expert's contribution to the development of the course components by the world wide IBM education program leader.
Business Intelligence Analyst

Business Intelligence Analyst

Educators

Explorer Award

Explorer

Description

By attendance in an instructor-led faculty workshop designed to show faculty how to teach students, the badge earner demonstrates ability to consolidate data gathered from several sources & run queries catered to build business reports, using IBM Cognos Analytics Authoring. They have demonstrated advanced proficiency in topics such as using lists, crosstabs, charts, prompts, calculations, drill-through definitions, queries, macros, bursting report, Active Reports, & enhancing reports using HTML.

Criteria

  • Must be a faculty member of a Higher Education Institution which has or is implementing the IBM Skills Academy Program.
  • Completion of Module I - Analytics Overview: Covering Business Analytics Overview, Trends, Case Studies; Understanding Business Intelligence and Analytics.
  • Completion of Module II - Business Analytics Foundations: Covering Business Intelligence Overview; Reports and Metadata models.
  • Completion of Module III - Business Intelligence Analyst: Covering Introduction of Reporting Application, List Reports and Crosstab Reports, Focus Reports Using Filters, Charts and RAVE Visualizations, Parameters and Prompts, Calculations, Drill-Through Definitions; Enhancing Report layouts, Query models and relationships (using SQL), Advanced dynamic reports, Using effective prompts, Report distribution through Bursting, Enhance user interaction with HTML.
  • Participation in the faculty enablement session.
  • Passing the Business Intelligence Analyst academic practice test.

Educators

Mastery Award

Mastery

Description

This badge earner has proven expertise to consolidate data gathered from several sources, and run queries catered to build business reports, using IBM Cognos Analytics Reporting. The badge earner has demonstrated advanced proficiency on topics such as using lists, crosstabs, charts, prompts, calculations, drill-through definitions, queries, macros, bursting report, Active Reports, and enhancing reports using HTML.

Criteria

  • Must be a faculty member of a Higher Education Institution which has or is implementing the IBM Skills Academy Program.
  • Completion of Module I - Analytics Overview: Covering Business Analytics Overview, Trends, Case Studies; Understanding Business Intelligence and Analytics.
  • Completion of Module II - Business Analytics Foundations: Covering Business Intelligence Overview; Reports and Metadata models.
  • Completion of Module III - Business Intelligence Analyst: Covering Introduction of Reporting Application, List Reports and Crosstab Reports, Focus Reports Using Filters, Charts and RAVE Visualizations, Parameters and Prompts, Calculations, Drill-Through Definitions; Enhancing Report layouts, Query models and relationships (using SQL), Advanced dynamic reports, Using effective prompts, Report distribution through Bursting, Enhance user interaction with HTML.
  • Passing the IBM Proctored Exam for "IBM Business Intelligence Analyst 2018".

Educators

Instructor Award

Explorer

Description

This badge earner has delivered the program course on consolidating data gathered from several sources, and running queries catered to build business reports, using IBM Cognos Analytics Authoring. This individual has been able to teach topics such as using lists, crosstabs, charts, prompts, calculations, drill-through definitions, queries, macros, bursting report, Active Reports, and enhancing reports using HTML.

Criteria

  • Must be a faculty member of a Higher Education Institution which has or is implementing the IBM Skills Academy Program.
  • Teaching of Module I - Analytics Overview: Covering Business Analytics Overview, Trends, Case Studies; Understanding Business Intelligence and Analytics.
  • Teaching of Module II - Business Analytics Foundations: Covering Business Intelligence Overview; Reports and Metadata models.
  • Teaching of Module III - Business Intelligence Analyst: Covering Introduction of Reporting Application, List Reports and Crosstab Reports, Focus Reports Using Filters, Charts and RAVE Visualizations, Parameters and Prompts, Calculations, Drill-Through Definitions; Enhancing Report layouts, Query models and relationships (using SQL), Advanced dynamic reports, Using effective prompts, Report distribution through Bursting, Enhance user interaction with HTML.
  • Deliver training to a minimum of 15 university students.
  • Have at least 60% of total students pass the final test., Receive the Mastery Award for Educators 2018.

Educators

Author Award

Explorer

Description

The badge earner has developed and published a university course to educate students on how to consolidate data gathered from several sources, and run queries catered to build business reports, using IBM Cognos Analytics Reporting. The course will teach students topics such as using lists, crosstabs, charts, prompts, calculations, drill-through definitions, queries, macros, bursting report, Active Reports, and enhancing reports using HTML.

Criteria

  • Must be a faculty member of a Higher Education Institution which has or is implementing the IBM Skills Academy Program.
  • Completion of Module I - Analytics Overview: Covering Business Analytics Overview, Trends, Case Studies; Understanding Business Intelligence and Analytics.
  • Completion of Module II - Business Analytics Foundations: Covering Business Intelligence Overview; Reports and Metadata models.
  • Completion of Module III - Business Intelligence Analyst: Covering Introduction of Reporting Application, List Reports and Crosstab Reports, Focus Reports Using Filters, Charts and RAVE Visualizations, Parameters and Prompts, Calculations, Drill-Through Definitions; Enhancing Report layouts, Query models and relationships (using SQL), Advanced dynamic reports, Using effective prompts, Report distribution through Bursting, Enhance user interaction with HTML.
  • Publishing the university course in the university collaboration space.
  • Submitting curriculum for the Faculty Rewards proposal.
  • Obtaining the Faculty Rewards International Curriculum review board's approval.
Predictive Analytics Modeler

Predictive Analytics Modeler

Educators

Explorer Award

Explorer

Description

Through an instructor-led classroom, this badge earner has demonstrated the ability to forecast and predict future probabilities and trends, and analyze insights from your data, using IBM SPSS Modeler and IBM Watson Studio. This individual has demonstrated an understanding of topics such as data preparation, data mining, data collection & integration, nodes & streams, deriving & reclassifying fields, predictive models, and statistical analysis.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Completion of Module I - Analytics Overview: Business Analytics Overview, Trends, Case Studies; Understanding Business Intelligence and Analytics.
  • Completion of  Module II - Business Analytics Foundations: Introduction to Data Mining CRISP-DM.
  • Completion of Module III - Predictive Analytics Modeler: Nodes and streams; Initial data mining, storage and field measurement; Understanding the data; Integrating data; Looking for relationships (matrix, distribution, means, etc); Functions (conversion, string, and statistical); Data transformation; Sampling, partitioning, and balancing data; IBM Watson Machine Learning; Data Refinery & AutoAI; neural networks & deep learning; Automating data preparation, model training, and deployments.
  • Passing the Predictive Analytics Modeler 2020 practice test.

Educators

Mastery Award

Mastery

Description

Through an instructor-led classroom, this badge earner has demonstrated the ability to forecast and predict future probabilities and trends, and analyze insights from your data, using IBM SPSS Modeler and IBM Watson Studio. This individual has demonstrated an understanding of topics such as data preparation, data mining, data collection & integration, nodes & streams, deriving & reclassifying fields, predictive models, and statistical analysis.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Received the Predictive Analytics Modeler - Explorer Award 2020 badge
  • Passing the IBM Proctored Exam for Predictive Analytics Modeler 2020.

Educators

Instructor Award

Instructor

Description

Under guidance of an experienced instructor, this badge earner has demonstrated an ability to teach others forecasting and predicting future probabilities and trends, and analyzing insights from your data, using IBM SPSS Modeler and IBM Watson Studio. This individual has demonstrated proficiency teaching students topics such as data preparation, data mining, data collection & integration, nodes & streams, deriving & reclassifying fields, predictive models, and statistical analysis.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Received the Predictive Analytics Modeler - Explorer Award 2020 badge
  • Teaching of Module III - Predictive Analytics Modeler: Nodes and streams; Initial data mining, storage and field measurement; Understanding the data; Integrating data; Looking for relationships (matrix, distribution, means, etc); Functions (conversion, string, and statistical); Data transformation; Sampling, partitioning, and balancing data; IBM Watson Machine Learning; Data Refinery & AutoAI; neural networks & deep learning; Automating data preparation, model training, and deployments.
  • Teaching the course under the supervision of a qualified instructor, and receiving teaching approval from the supervising instructor.
  • Delivering the training to at least 15 university students, faculty members, and/or professionals, and having 60% of the audience pass the final exam.

Educators

Author Award

Author

Description

The badge earner has developed and published a university course to educate students on how to forecast and predict future probabilities and trends, and analyze insights from your data, using IBM SPSS Modeler and IBM Watson Studio. The course will teach students topics such as data preparation, data mining, data collection & integration, nodes & streams, deriving & reclassifying fields, predictive models, and statistical analysis.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Must be a Predictive Analytics Subject Matter Expert who is contributing to the development of assets for the learning journey's Module 1 (overview), Module 2  (pre-requisites), and Module 3 (Predictice Analytics Modeler).
  • Must validate expert's contribution to the development of the course components by the world wide IBM education program leader.
Security Intelligence Engineer

Security Intelligence Engineer

Educators

Explorer Award

Explorer

Description

Through attendance in an instructor-led faculty workshop designed to show faculty how to educate students, this badge earner has demonstrated the ability to correlate events and flows from a variety of applications and devices, establish enterprise security rules, monitor policy compliance, and provide threat detection, using IBM QRadar SIEM. This individual has demonstrated an understanding of topics such as investigating offenses identified from events and flows, and create operational rules.

Criteria

  • Must be a faculty member of a Higher Education Institution which has or is implementing the IBM Skills Academy Program.
  • Completion of Module I - Cyber Security Overview: Covering Status quo of IT Security; and Security Intelligence and Operations.
  • Completion of Module II - Security Intelligence Foundations: Covering Designing a Security Intelligence Solution; and Security Intelligence functional components.
  • Completion of Module III - Security Intelligence Analyst: Covering Collecting and processing events, flows, and vulnerability data; Investigating an offense that is triggered by events; Investigating the events of an offense; Using asset profiles to investigate offenses; Investigating an offense that is triggered by flows; False positives overview; Investigating superflows; Using rules and building blocks; Creating SIEM reports; and Performing advanced filtering.
  • Participation in the faculty enablement session.
  • Passing the Security Intelligence Analyst academic practice test.

Educators

Mastery Award

Mastery

Description

The badge earner has a proven expertise to correlate events and flows from a variety of applications and devices, establish enterprise security rules, monitor policy compliance, and provide threat detection, using IBM QRadar SIEM. The badge earner has demonstrated advanced proficiency on topics such as investigating offenses identified from events and flows, and create operational rules.

Criteria

  • Must be a faculty member of a Higher Education Institution which has or is implementing the IBM Skills Academy Program.
  • Completion of Module I - Cyber Security Overview: Covering Status quo of IT Security; and Security Intelligence and Operations.
  • Completion of Module II - Security Intelligence Foundations: Covering Designing a Security Intelligence Solution; and Security Intelligence functional components.
  • Completion of Module III - Security Intelligence Analyst: Covering Collecting and processing events, flows, and vulnerability data; Investigating an offense that is triggered by events; Investigating the events of an offense; Using asset profiles to investigate offenses; Investigating an offense that is triggered by flows; False positives overview; Investigating superflows; Using rules and building blocks; Creating SIEM reports; and Performing advanced filtering.
  • Passing the IBM Proctored Exam for "IBM Security Intelligence Analyst 2016".

Educators

Instructor Award

Explorer

Description

This badge earner has delivered the program course on how to correlate events and flows from a variety of applications and devices, establish enterprise security rules, monitor policy compliance, and provide threat detection, using IBM QRadar SIEM.åÊ This individual has been able to teach an understanding of topics such investigating offenses identified from events and flows, and create operational rules.

Criteria

  • Must be a faculty member of a Higher Education Institution which has or is implementing the IBM Skills Academy Program.
  • Teaching of Module I - Cyber Security Overview: Covering tatus quo of IT Security; and Security Intelligence and Operations.
  • Teaching of Module II - Security Intelligence Foundations: Covering Designing a Security Intelligence Solution; and Security Intelligence functional components.
  • Teaching of Module III - Security Intelligence Analyst: Covering Collecting and processing events, flows, and vulnerability data; Investigating an offense that is triggered by events; Investigating the events of an offense; Using asset profiles to investigate offenses; Investigating an offense that is triggered by flows; False positives overview; Investigating superflows; Using rules and building blocks; Creating SIEM reports; and Performing advanced filtering.
  • Delivering training to minimum 15 university students.
  • Have at least 60% of total students pass the final test.
  • Receive the Mastery Award for Educators 2016.

Educators

Author Award

Explorer

Description

The badge earner has developed and published a university course to educate students on how to correlate events and flows from a variety of applications and devices, establish enterprise security rules, monitor policy compliance, and provide threat detection, using IBM QRadar SIEM. The course will teach students topics such as investigating offenses identified from events and flows, and create operational rules.

Criteria

  • Must be a faculty member of a Higher Education Institution which has or is implementing the IBM Skills Academy Program.
  • Completion of Module I - Cyber Security Overview: Covering Status quo of IT Security; and Security Intelligence and Operations.
  • Completion of Module II - Security Intelligence Foundations: Covering Designing a Security Intelligence Solution; and Security Intelligence functional components.
  • Completion of Module III - Security Intelligence Analyst: Covering Collecting and processing events, flows, and vulnerability data; Investigating an offense that is triggered by events; Investigating the events of an offense; Using asset profiles to investigate offenses; Investigating an offense that is triggered by flows; False positives overview; Investigating superflows; Using rules and building blocks; Creating SIEM reports; and Performing advanced filtering.
  • Publishing the university course in the university collaboration space.
  • Submitting curriculum for the Faculty Rewards proposal.
  • Obtaining the Faculty Rewards International Curriculum review board's approval.
Cloud Application Developer

Cloud Application Developer

Educators

Explorer Award

Explorer

Description

Through an instructor-led classroom, this badge earner has demonstrated the ability to build, run, deploy, and develop applications on a cloud development platform, using IBM Cloud. This individual has demonstrated an understanding of topics such as Cloud Computing, Kubernetes, Cloud Foundry, DevOps, REST Architecture, Watson APIs, Web Architecture, Cloud Security, Node.js, Express Framework, ECMAScript and React.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Completion of Module I - Cloud Application Foundations: Introduction to HTML5 and JavaScript programming
  • Completion of Module II -Cloud Application Developer 2019: Intro to cloud computing; Intro to IBM Cloud; Cloud Foundry apps on IBM Cloud; DevOps approach with IBM Continuous Delivery; REST architecture & Watson APIs; Data services in IBM Cloud; IBM Cloud with Cloudant; Containerized applications on Kubernetes; IBM Kubernetes Service clusters; Server-side JavaScript; Asynchronous I/O w/ callback; Express web application framework; Async patterns w/ ECMAScript; Rich UI application with React & ES8
  • Passed the Cloud Application Developer 2019 practice test.

Educators

Mastery Award

Mastery

Description

This badge earner has proven expertise to build, run, deploy, and develop applications on a cloud development platform, using IBM Cloud. The badge earner has demonstrated advanced proficiency on topics such as Cloud Computing, Kubernetes, Cloud Foundry, DevOps, REST Architecture, Watson APIs, Web Architecture, Cloud Security, Node.js, Express Framework, ECMAScript and React.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Received the "Cloud Application Developer 2019 - Explorer Award" badge.
  • Passed the IBM Proctored Exam for "Cloud Application Developer 2019".

Educators

Instructor Award

Instructor

Description

This badge earner has delivered the program course on how to build, run, deploy, and develop applications on a cloud development platform, using IBM Cloud. This individual has been able to teach topics such as Cloud Computing, Kubernetes, Cloud Foundry, DevOps, REST Architecture, Watson APIs, Web Architecture, Cloud Security, Node.js, Express Framework, ECMAScript and React.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Received the "Cloud Application Developer 2019 - Mastery Award " badge.
  • Teaching of Module I - Cloud Application Foundations: Introduction to HTML5 and JavaScript programming
  • Teaching of Module II -Cloud Application Developer 2019: Intro to cloud computing; Intro to IBM Cloud; Cloud Foundry apps on IBM Cloud; DevOps approach with IBM Continuous Delivery; REST architecture & Watson APIs; Data services in IBM Cloud; IBM Cloud with Cloudant; Containerized applications on Kubernetes; IBM Kubernetes Service clusters; Server-side JavaScript; Asynchronous I/O with callback; Express web application framework; Async patterns with ECMAScript; Rich UI application w/ React & ES8
  • Teaching the course under the supervision of a qualified instructor, and receiving teaching approval from the supervising instructor.
  • Delivering the training to at least 15 university students, faculty members, and/or professionals, and having 60% of the audience pass the final exam.

Educators

Author Award

Author

Description

The badge earner has developed and published a university course to educate students on how to build, run, deploy, and develop applications on a cloud development platform, using IBM Cloud. The course will teach students topics such as Cloud Computing, Kubernetes, Cloud Foundry, DevOps, REST Architecture, Watson APIs, Web Architecture, Cloud Security, Node.js, Express Framework, ECMAScript and React.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Must be a Cloud Subject Matter Expert who is contributing to the development of assets for the learning journey's Module 1 (overview), Module 2 (pre-requisites), and Module 3 (Cloud Application Developer).
  • Must validate expert's contribution to the development of the course components by the world wide IBM education program leader.
Artificial Intelligence Analyst

Artificial Intelligence Analyst

Educators

Explorer Award

Explorer

Description

Through an instructor-led classroom, this badge earner has demonstrated the ability to apply machine learning algorithms and build AI solutions by using IBM Watson. This individual has demonstrated an understanding of topics such as AI, Natural Language Processing (NLP), chatbots, and computer vision, using Watson Assistant, Discovery, Machine Learning, Watson Studio, Knowledge Studio, Visual Recognition, Tone Analyzer, and Natural Language Understanding.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Completion of Module I - Artificial Intelligence Overview: Introduction to artificial intelligence; AI types, integral components of AI systems; Factors that influenced the evolution of AI; Applications of AI in the industry, government, and science; Business analytics.
  • Completion of Module II - Artificial Intelligence Prerequisites: Introduction to IBM Watson; IBM Watson applied to industry; Business and science; IBM Watson use cases; Evolution from DeepQA to Watson services; Watson services overview.
  • Completion of Module III - Artificial Intelligence Analyst: Applying machine learning algorithms; Exploring Watson services; Watson Studio; Watson Machine Learning; Exploring Deep Learning and Neural Network; NLP concepts and components; Discovery; Creating a machine learning model; Watson Assistant; building chatbot solutions; Computer vision; Classifying images with Watson Visual Recognition; Creating a cognitive banking chatbot; Integrating Watson Knowledge Studio with Discovery.
  • Passed the Artificial Intelligence Analyst 2019 practice test.

Educators

Mastery Award

Mastery

Description

This badge earner has proven expertise to apply machine learning algorithms and build AI solutions by using IBM Watson. The badge earner has demonstrated advanced proficiency in topics such as AI, Natural Language Processing (NLP), chatbots, and computer vision, using Watson Assistant, Discovery, Machine Learning, Watson Studio, Knowledge Studio, Visual Recognition, Tone Analyzer, and Natural Language Understanding.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Received the "Artificial Intelligence Analyst - Explorer Award 2019" badge.
  • Passing the IBM Proctored Exam for "Artificial Intelligence Analyst 2019".

Educators

Instructor Award

Instructor

Description

This badge earner has delivered the program course on how to apply machine learning algorithms and build AI solutions by using IBM Watson. This individual has been able to teach topics such as AI, Natural Language Processing (NLP), chatbots, and computer vision, using Watson Assistant, Discovery, Machine Learning, Watson Studio, Knowledge Studio, Visual Recognition, Tone Analyzer, and Natural Language Understanding.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Received the "Artificial Intelligence Analyst - Mastery Award 2019" badge.
  • Teaching of Module I - Artificial Intelligence Overview: Introduction to artificial intelligence; AI types, integral components of AI systems; Factors that influenced the evolution of AI; Applications of AI in the industry, government, and science; Business analytics.
  • Teaching of of Module II - Artificial Intelligence Prerequisites: Introduction to IBM Watson; IBM Watson applied to industry; Business and science; IBM Watson use cases; Evolution from DeepQA to Watson services; Watson services overview.
  • Teaching of Module III - Artificial Intelligence Analyst: Applying machine learning algorithms; Exploring Watson services; Watson Studio; Watson Machine Learning; Exploring Deep Learning and Neural Network; NLP concepts and components; Discovery; Creating a machine learning model; Watson Assistant; building chatbot solutions; Computer vision; Classifying images with Watson Visual Recognition; Creating a cognitive banking chatbot; Integrating Watson Knowledge Studio with Discovery.
  • Teaching the course under the supervision of a qualified instructor, and receiving teaching approval from the supervising instructor.
  • Delivering the training to at least 15 university students, faculty members, and/or professionals, and having 60% of the audience pass the final exam.

Educators

Author Award

Explorer

Description

This earner significantly contributed to the authoring of courseware: presentations, labs, exams, quizzes, virtual machines, etc. They developed assets to teach students how to apply machine learning algorithms & build AI solutions by using IBM Watson. Assets covered topics such as AI, Natural Language Processing (NLP), chatbots & computer vision, using Watson Assistant, Discovery, M/C Learning, Watson Studio, Knowledge Studio, Visual Recognition, Tone Analyzer & Natural Language Understanding.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Must be an Artificial Intelligence Subject Matter Expert who is contributing to the development of assets for the learning journey's Module 1 (overview), Module 2  (pre-requisites), and Module 3 (Artificial Intelligence Analyst).
  • Must validate expert's contribution to the development of the course components by the world wide IBM education program leader.
Data Scientist

Big Data Engineer

Professional

Explorer Award

Explorer

Description

Through an instructor-led classroom, this badge earner has demonstrated the ability to use Big Data methodologies to collect & analyze large amounts of data from different sources, using IBM Watson Studio and Open Source Tools. This individual has demonstrated an understanding of topics such as Apache Hadoop, Ambari, Spark, Big SQL, HDFS, YARN, MapReduce, ZooKeeper, Knox, Sqoop, and HBase.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Completion of Module I - Big Data Overview: Introduction to Big Data; Examples of Big Data; The 4Vs; Types of Big Data; Big Data in the Industry; Big Data and Internet of Things.
  • Completion of Module II - Big Data Engineer: Introduction to Big Data & Data Analytics; Introduction to HDP; Apache Ambari & Spark; Hadoop & HDFS; MapReduce & YARN; Storing & querying data; ZooKeeper, Slider & Knox, Loading data with Sqoop; Security & Governance; Stream Computing, Data Science Open Source Tools, Getting started with Jupyter; Using Big SQL to access data in HDFS; Configuring Big SQL security; IBM Watson Studio.
  • Passed the Big Data Engineer 2018 academic practice test.

Professional

Mastery Award

Mastery

Description

The badge earner has a proven expertise to use Big Data methodologies to collect & analyze large amounts of data from different sources, using IBM Watson Studio and Open Source Tools. The badge earner has demonstrated advanced proficiency on topics such as Apache Hadoop, Ambari, Spark, Big SQL, HDFS, YARN, MapReduce, ZooKeeper, Knox, Sqoop, and HBase.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Received the "Big Data Engineer - Explorer Award 2018" badge.
  • Passed the IBM Proctored Exam for "Big Data Engineer 2018".

Professional

Instructor Award

Explorer

Description

This badge earner has delivered the program course on how to use Big Data methodologies to collect & analyze large amounts of data from different sources, using IBM Watson Studio and Open Source Tools. This individual has demonstrated proficiency teaching students topics such as Apache Hadoop, Ambari, Spark, Big SQL, HDFS, YARN, MapReduce, ZooKeeper, Knox, Sqoop, and HBase.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Received the "Big Data Engineer - Explorer Award 2018" badge.
  • Teaching of Module II - Big Data Engineer: Introduction to Big Data & Data Analytics; Introduction to HDP; Apache Ambari & Spark; Hadoop & HDFS; MapReduce & YARN; Storing & querying data; ZooKeeper, Slider & Knox, Loading data with Sqoop; Security & Governance; Stream Computing, Data Science Open Source Tools, Getting started with Jupyter; Using Big SQL to access data in HDFS; Configuring Big SQL security; IBM Watson Studio.
  • Teaching the course under the supervision of a qualified instructor, and receiving teaching approval from the supervising instructor.
  • Delivering the training to at least 15 university students, faculty members, and/or professionals, and having 60% of the audience pass the final exam.

Professional

Author Award

Explorer

Description

The badge earner has developed and published a university course to educate students on how to use Big Data methodologies to collect & analyze large amounts of data from different sources, using IBM Watson Studio and Open Source Tools. The author has developed assets that teach students topics such as Apache Hadoop, Ambari, Spark, Big SQL, HDFS, YARN, MapReduce, ZooKeeper, Knox, Sqoop, and HBase.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Must be a Big Data Subject Matter Expert who is contributing to the development of assets for the learning journey's Module 1 (overview), Module 2  (pre-requisites), and Module 3 (Big Data Engineer).
  • Must validate expert's contribution to the development of the course components by the world wide IBM education program leader.
Business Intelligence Analyst

Business Intelligence Analyst

Professional

Explorer Award

Explorer

Description

Through an instructor-led classroom, this badge earner has demonstrated the ability to consolidate data gathered from several sources, and run queries catered to build business reports, using IBM Cognos Analytics. This individual has demonstrated an understanding of topics such as using lists, crosstabs, charts, prompts, calculations, drill-through definitions, queries, macros, bursting report, Active Reports, and enhancing reports using HTML.

Criteria

  • Expected to be an Information Technology professional working for IBM, an IBM Customer, or Business Partner and attending the IBM Skills Academy.
  • Completion of Module I - Analytics Overview: Covering Business Analytics Overview, Trends, Case Studies; Understanding Business Intelligence and Analytics.
  • Completion of Module II - Covering Business Analytics Foundations: Business Intelligence Overview; Reports and Metadata models.
  • Completion of Module III - Business Intelligence Analyst: Covering Introduction of Reporting Application, List Reports and Crosstab Reports, Focus Reports Using Filters, Charts and RAVE Visualizations, Parameters and Prompts, Calculations, Drill-Through Definitions; Enhancing Report layouts, Query models and relationships (using SQL), Advanced dynamic reports, Using effective prompts, Report distribution through Bursting, Enhance user interaction with HTML.
  • Passing the Business Intelligence Analyst academic practice test.

Professional

Mastery Award

Mastery

Description

This badge earner has proven expertise to consolidate data gathered from several sources, and run queries catered to build business reports, using IBM Cognos Analytics Authoring. The badge earner has demonstrated advanced proficiency in topics such as using lists, crosstabs, charts, prompts, calculations, drill-through definitions, queries, macros, bursting report, Active Reports, and enhancing reports using HTML.

Criteria

  • Expected to be an Information Technology professional working for IBM, an IBM Customer, or Business Partner and attending the IBM Skills Academy.
  • Completion of Module I - Analytics Overview: Covering Business Analytics Overview, Trends, Case Studies; Understanding Business Intelligence and Analytics.
  • Completion of Module II - Business Analytics Foundations: Covering Business Intelligence Overview; Reports and Metadata models.
  • Completion of Module III - Business Intelligence Analyst: Covering Introduction of Reporting Application, List Reports and Crosstab Reports, Focus Reports Using Filters, Charts and RAVE Visualizations, Parameters and Prompts, Calculations, Drill-Through Definitions; Enhancing Report layouts, Query models and relationships (using SQL), Advanced dynamic reports, Using effective prompts, Report distribution through Bursting, Enhance user interaction with HTML.
  • Passing the IBM Proctored Exam for "IBM Business Intelligence Analyst 2018".
  • Receiving the Explorer Award for Professionals 2018.

Professional

Instructor Award

Instructor

Description

Under guidance of an experienced instructor, this badge earner has demonstrated the ability to teach others how to consolidate data gathered from several sources, and run queries catered to build business reports, using IBM Cognos Analytics Authoring. This individual has demonstrated an understanding of topics such as using lists, crosstabs, charts, prompts, calculations, drill-through definitions, queries, macros, bursting report, Active Reports, and enhancing reports using HTML.

Criteria

  • Expected to be an Information Technology professional working for IBM, an IBM Customer, or Business Partner and attending the IBM Skills Academy.
  • Teaching of Module I - Analytics Overview: Covering Business Analytics Overview, Trends, Case Studies; Understanding Business Intelligence and Analytics.
  • Teaching of Module II - Business Analytics Foundations: Covering Business Intelligence Overview; Reports and Metadata models.
  • Teaching of Module III - Business Intelligence Analyst: Covering Introduction of Reporting Application, List Reports and Crosstab Reports, Focus Reports Using Filters, Charts and RAVE Visualizations, Parameters and Prompts, Calculations, Drill-Through Definitions; Enhancing Report layouts, Query models and relationships (using SQL), Advanced dynamic reports, Using effective prompts, Report distribution through Bursting, Enhance user interaction with HTML.
  • Teaching the course under the supervision of a qualified instructor, and receiving teaching approval from the supervising instructor.
  • Receiving a 70% positive survey feedback.
  • Receiving the Mastery Award for Professionals 2018.

Professional

Author Award

Author

Description

Through an instructor-led classroom, this badge earner has demonstrated the ability to consolidate data gathered from several sources, and run queries catered to build business reports, using IBM Cognos Analytics. This individual has demonstrated an understanding of topics such as using lists, crosstabs, charts, prompts, calculations, drill-through definitions, queries, macros, bursting report, Active Reports, and enhancing reports using HTML.

Criteria

  • Expected to be an Information Technology professional working for IBM, an IBM Customer, or Business Partner and attending the IBM Skills Academy.
  • Completion of Module I - Analytics Overview: Covering Business Analytics Overview, Trends, Case Studies; Understanding Business Intelligence and Analytics.
  • Completion of Module II - Covering Business Analytics Foundations: Business Intelligence Overview; Reports and Metadata models.
  • Completion of Module III - Business Intelligence Analyst: Covering Introduction of Reporting Application, List Reports and Crosstab Reports, Focus Reports Using Filters, Charts and RAVE Visualizations, Parameters and Prompts, Calculations, Drill-Through Definitions; Enhancing Report layouts, Query models and relationships (using SQL), Advanced dynamic reports, Using effective prompts, Report distribution through Bursting, Enhance user interaction with HTML.
  • Passing the Business Intelligence Analyst academic practice test.
Predictive Analytics Modeler

Predictive Analytics Modeler

Professional

Explorer Award

Explorer

Description

Through an instructor-led classroom, this badge earner has demonstrated the ability to forecast and predict future probabilities and trends, and analyze insights from your data, using IBM SPSS Modeler and IBM Watson Studio. This individual has demonstrated an understanding of topics such as data preparation, data mining, data collection & integration, nodes & streams, deriving & reclassifying fields, predictive models, and statistical analysis.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Completion of Module I - Analytics Overview: Business Analytics Overview, Trends, Case Studies; Understanding Business Intelligence and Analytics.
  • Completion of  Module II - Business Analytics Foundations: Introduction to Data Mining CRISP-DM.
  • Completion of Module III - Predictive Analytics Modeler: Nodes and streams; Initial data mining, storage and field measurement; Understanding the data; Integrating data; Looking for relationships (matrix, distribution, means, etc); Functions (conversion, string, and statistical); Data transformation; Sampling, partitioning, and balancing data; IBM Watson Machine Learning; Data Refinery & AutoAI; neural networks & deep learning; Automating data preparation, model training, and deployments.
  • Passing the Predictive Analytics Modeler 2020 practice test.

Professional

Mastery Award

Mastery

Description

Through an instructor-led classroom, this badge earner has demonstrated the ability to forecast and predict future probabilities and trends, and analyze insights from your data, using IBM SPSS Modeler and IBM Watson Studio. This individual has demonstrated an understanding of topics such as data preparation, data mining, data collection & integration, nodes & streams, deriving & reclassifying fields, predictive models, and statistical analysis.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Received the Predictive Analytics Modeler - Explorer Award 2020 badge
  • Passing the IBM Proctored Exam for Predictive Analytics Modeler 2020.

Professional

Instructor Award

Explorer

Description

Under guidance of an experienced instructor, this badge earner has demonstrated an ability to teach others forecasting and predicting future probabilities and trends, and analyzing insights from your data, using IBM SPSS Modeler and IBM Watson Studio. This individual has demonstrated proficiency teaching students topics such as data preparation, data mining, data collection & integration, nodes & streams, deriving & reclassifying fields, predictive models, and statistical analysis.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Received the Predictive Analytics Modeler - Explorer Award 2020 badge
  • Teaching of Module III - Predictive Analytics Modeler: Nodes and streams; Initial data mining, storage and field measurement; Understanding the data; Integrating data; Looking for relationships (matrix, distribution, means, etc); Functions (conversion, string, and statistical); Data transformation; Sampling, partitioning, and balancing data; IBM Watson Machine Learning; Data Refinery & AutoAI; neural networks & deep learning; Automating data preparation, model training, and deployments.
  • Teaching the course under the supervision of a qualified instructor, and receiving teaching approval from the supervising instructor.
  • Delivering the training to at least 15 university students, faculty members, and/or professionals, and having 60% of the audience pass the final exam.

Professional

Author Award

Explorer

Description

The badge earner has developed and published a university course to educate students on how to forecast and predict future probabilities and trends, and analyze insights from your data, using IBM SPSS Modeler and IBM Watson Studio. The course will teach students topics such as data preparation, data mining, data collection & integration, nodes & streams, deriving & reclassifying fields, predictive models, and statistical analysis.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Must be a Predictive Analytics Subject Matter Expert who is contributing to the development of assets for the learning journey's Module 1 (overview), Module 2  (pre-requisites), and Module 3 (Predictice Analytics Modeler).
  • Must validate expert's contribution to the development of the course components by the world wide IBM education program leader.
Security Intelligence Engineer

Security Intelligence Engineer

Professional

Explorer Award

Explorer

Description

Through an instructor-led classroom, this badge earner has demonstrated the ability to correlate events and flows from a variety of applications and devices, establish enterprise security rules, monitor policy compliance, and provide threat detection, using IBM QRadar SIEM. This individual has demonstrated an understanding of topics such as investigating offenses identified from events and flows, and create operational rules.

Criteria

  • Expected to be an Information Technology professional working for IBM, an IBM Customer, or Business Partner and attending the IBM Skills Academy.
  • Completion of Module I - Cyber Security Overview: Covering Status quo of IT Security ; and Security Intelligence and Operations.
  • Completion of Module II - Security Intelligence Foundations: Covering Designing a Security Intelligence Solution; and Security Intelligence functional components.
  • Completion of Module III - Security Intelligence Analsyt: Covering Collecting and processing events, flows, and vulnerability data; Investigating an offense that is triggered by events; Investigating the events of an offense; Using asset profiles to investigate offenses; Investigating an offense that is triggered by flows; False positives overview; Investigating superflows; Using rules and building blocks; Creating SIEM reports; and Performing advanced filtering.
  • Passing the Security Intelligence Analyst academic practice test.

Professional

Mastery Award

Mastery

Description

The badge earner has a proven expertise to correlate events and flows from a variety of applications and devices, establish enterprise security rules, monitor policy compliance, and provide threat detection, using IBM QRadar SIEM. The badge earner has demonstrated advanced proficiency on topics such as investigating offenses identified from events and flows, and create operational rules.

Criteria

  • Expected to be an Information Technology professional working for IBM, an IBM Customer, or Business Partner and attending the IBM Skills Academy.
  • Completion of Module I - Cyber Security Overview: Covering Status quo of IT Security; and Security Intelligence and Operations.
  • Completion of Module II - Security Intelligence Foundations: Coverng Designing a Security Intelligence Solution; and Security Intelligence functional components.
  • Completion of Module III - Security Intelligence Analyst: Covering Collecting and processing events, flows, and vulnerability data; Investigating an offense that is triggered by events; Investigating the events of an offense; Using asset profiles to investigate offenses; Investigating an offense that is triggered by flows; False positives overview; Investigating superflows; Using rules and building blocks; Creating SIEM reports; and Performing advanced filtering.
  • Passing the IBM Proctored Exam for "IBM Security Intelligence Analyst 2016".
  • Receiving the Explorer Award for Professionals 2016.

Professional

Instructor Award

Instructor

Description

Under guidance of an experienced instructor, this badge earner has demonstrated the ability to teach others correlating events and flows from a variety of applications and devices, establishing enterprise security rules, monitor policy compliance, and providing threat detection, using IBM QRadar SIEM. This individual has demonstrated proficiency teaching students topics such as investigating offenses identified from events and flows, and create operational rules.

Criteria

  • Expected to be an Information Technology professional working for IBM, an IBM Customer, or Business Partner and attending the IBM Skills Academy.
  • Teaching of Module I - Cyber Security Overview: Covering Status quo of IT Security ; and Security Intelligence and Operations.
  • Teaching of Module II - Security Intelligence Foundations: Covering Designing a Security Intelligence Solution; and Security Intelligence functional components.
  • Teaching of Module III - Security Intelligence Analsyt: Covering Collecting and processing events, flows, and vulnerability data; Investigating an offense that is triggered by events; Investigating the events of an offense; Using asset profiles to investigate offenses; Investigating an offense that is triggered by flows; False positives overview; Investigating superflows; Using rules and building blocks; Creating SIEM reports; and Performing advanced filtering.
  • Teaching the course under the supervision of a qualified instructor, and receiving teaching approval from the supervising instructor.
  • Receiving a 70% positive survey feedback.
  • Receiving the Mastery Award for Professionals 2016.
Cloud Application Developer

Cloud Application Developer

Professional

Explorer Award

Explorer

Description

Through an instructor-led classroom, this badge earner has demonstrated the ability to build, run, deploy, and develop applications on a cloud development platform, using IBM Cloud. This individual has demonstrated an understanding of topics such as Cloud Computing, Kubernetes, Cloud Foundry, DevOps, REST Architecture, Watson APIs, Web Architecture, Cloud Security, Node.js, Express Framework, ECMAScript and React.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Completion of Module I - Cloud Application Foundations: Introduction to HTML5 and JavaScript programming
  • Completion of Module II -Cloud Application Developer 2019: Intro to cloud computing; Intro to IBM Cloud; Cloud Foundry apps on IBM Cloud; DevOps approach with IBM Continuous Delivery; REST architecture & Watson APIs; Data services in IBM Cloud; IBM Cloud with Cloudant; Containerized applications on Kubernetes; IBM Kubernetes Service clusters; Server-side JavaScript; Asynchronous I/O w/ callback; Express web application framework; Async patterns w/ ECMAScript; Rich UI application with React & ES8
  • Passed the Cloud Application Developer 2019 practice test.

Professional

Mastery Award

Mastery

Description

This badge earner has proven expertise to build, run, deploy, and develop applications on a cloud development platform, using IBM Cloud. The badge earner has demonstrated advanced proficiency on topics such as Cloud Computing, Kubernetes, Cloud Foundry, DevOps, REST Architecture, Watson APIs, Web Architecture, Cloud Security, Node.js, Express Framework, ECMAScript and React.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Received the "Cloud Application Developer 2019 - Explorer Award" badge.
  • Passed the IBM Proctored Exam for "Cloud Application Developer 2019".

Professional

Instructor Award

Instructor

Description

This badge earner has delivered the program course on how to build, run, deploy, and develop applications on a cloud development platform, using IBM Cloud. This individual has been able to teach topics such as Cloud Computing, Kubernetes, Cloud Foundry, DevOps, REST Architecture, Watson APIs, Web Architecture, Cloud Security, Node.js, Express Framework, ECMAScript and React.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Received the "Cloud Application Developer 2019 - Mastery Award " badge.
  • Teaching of Module I - Cloud Application Foundations: Introduction to HTML5 and JavaScript programming
  • Teaching of Module II -Cloud Application Developer 2019: Intro to cloud computing; Intro to IBM Cloud; Cloud Foundry apps on IBM Cloud; DevOps approach with IBM Continuous Delivery; REST architecture & Watson APIs; Data services in IBM Cloud; IBM Cloud with Cloudant; Containerized applications on Kubernetes; IBM Kubernetes Service clusters; Server-side JavaScript; Asynchronous I/O with callback; Express web application framework; Async patterns with ECMAScript; Rich UI application w/ React & ES8
  • Teaching the course under the supervision of a qualified instructor, and receiving teaching approval from the supervising instructor.
  • Delivering the training to at least 15 university students, faculty members, and/or professionals, and having 60% of the audience pass the final exam.

Professional

Author Award

Author

Description

The badge earner has developed and published a university course to educate students on how to build, run, deploy, and develop applications on a cloud development platform, using IBM Cloud. The course will teach students topics such as Cloud Computing, Kubernetes, Cloud Foundry, DevOps, REST Architecture, Watson APIs, Web Architecture, Cloud Security, Node.js, Express Framework, ECMAScript and React.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Must be a Cloud Subject Matter Expert who is contributing to the development of assets for the learning journey's Module 1 (overview), Module 2 (pre-requisites), and Module 3 (Cloud Application Developer).
  • Must validate expert's contribution to the development of the course components by the world wide IBM education program leader.
Artificial Intelligence Analyst

Artificial Intelligence Analyst

professionals

Explorer Award

Explorer

Description

Through an instructor-led classroom, this badge earner has demonstrated the ability to apply machine learning algorithms and build AI solutions by using IBM Watson. This individual has demonstrated an understanding of topics such as AI, Natural Language Processing (NLP), chatbots, and computer vision, using Watson Assistant, Discovery, Machine Learning, Watson Studio, Knowledge Studio, Visual Recognition, Tone Analyzer, and Natural Language Understanding.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Completion of Module I - Artificial Intelligence Overview: Introduction to artificial intelligence; AI types, integral components of AI systems; Factors that influenced the evolution of AI; Applications of AI in the industry, government, and science; Business analytics.
  • Completion of Module II - Artificial Intelligence Prerequisites: Introduction to IBM Watson; IBM Watson applied to industry; Business and science; IBM Watson use cases; Evolution from DeepQA to Watson services; Watson services overview.
  • Completion of Module III - Artificial Intelligence Analyst: Applying machine learning algorithms; Exploring Watson services; Watson Studio; Watson Machine Learning; Exploring Deep Learning and Neural Network; NLP concepts and components; Discovery; Creating a machine learning model; Watson Assistant; building chatbot solutions; Computer vision; Classifying images with Watson Visual Recognition; Creating a cognitive banking chatbot; Integrating Watson Knowledge Studio with Discovery.
  • Passed the Artificial Intelligence Analyst 2019 practice test.

professionals

Mastery Award

Mastery

Description

This badge earner has proven expertise to apply machine learning algorithms and build AI solutions by using IBM Watson. The badge earner has demonstrated advanced proficiency in topics such as AI, Natural Language Processing (NLP), chatbots, and computer vision, using Watson Assistant, Discovery, Machine Learning, Watson Studio, Knowledge Studio, Visual Recognition, Tone Analyzer, and Natural Language Understanding.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Received the "Artificial Intelligence Analyst - Explorer Award 2019" badge.
  • Passing the IBM Proctored Exam for "Artificial Intelligence Analyst 2019".

professionals

Instructor Award

Instructor

Description

This badge earner has delivered the program course on how to apply machine learning algorithms and build AI solutions by using IBM Watson. This individual has been able to teach topics such as AI, Natural Language Processing (NLP), chatbots, and computer vision, using Watson Assistant, Discovery, Machine Learning, Watson Studio, Knowledge Studio, Visual Recognition, Tone Analyzer, and Natural Language Understanding.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Received the "Artificial Intelligence Analyst - Mastery Award 2019" badge.
  • Teaching of Module I - Artificial Intelligence Overview: Introduction to artificial intelligence; AI types, integral components of AI systems; Factors that influenced the evolution of AI; Applications of AI in the industry, government, and science; Business analytics.
  • Teaching of of Module II - Artificial Intelligence Prerequisites: Introduction to IBM Watson; IBM Watson applied to industry; Business and science; IBM Watson use cases; Evolution from DeepQA to Watson services; Watson services overview.
  • Teaching of Module III - Artificial Intelligence Analyst: Applying machine learning algorithms; Exploring Watson services; Watson Studio; Watson Machine Learning; Exploring Deep Learning and Neural Network; NLP concepts and components; Discovery; Creating a machine learning model; Watson Assistant; building chatbot solutions; Computer vision; Classifying images with Watson Visual Recognition; Creating a cognitive banking chatbot; Integrating Watson Knowledge Studio with Discovery.
  • Teaching the course under the supervision of a qualified instructor, and receiving teaching approval from the supervising instructor.
  • Delivering the training to at least 15 university students, faculty members, and/or professionals, and having 60% of the audience pass the final exam.

professionals

Author Award

Author

Description

This earner significantly contributed to the authoring of courseware: presentations, labs, exams, quizzes, virtual machines, etc. They developed assets to teach students how to apply machine learning algorithms & build AI solutions by using IBM Watson. Assets covered topics such as AI, Natural Language Processing (NLP), chatbots & computer vision, using Watson Assistant, Discovery, M/C Learning, Watson Studio, Knowledge Studio, Visual Recognition, Tone Analyzer & Natural Language Understanding.

Criteria

  • Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.
  • Must be an Artificial Intelligence Subject Matter Expert who is contributing to the development of assets for the learning journey's Module 1 (overview), Module 2  (pre-requisites), and Module 3 (Artificial Intelligence Analyst).
  • Must validate expert's contribution to the development of the course components by the world wide IBM education program leader.

Students

Explorer Award

Description

Through a faculty-led student education, this badge earner has demonstrated the ability to build, run, deploy, and develop applications on a hybrid cloud development platform, using IBM Bluemix. This individual has demonstrated an understanding of topics such as Node.js, REST architecture, JSON, Cloud Foundry and DevOps services.

Criteria

  • Completion of Module I - Cloud Computing Overview: Cloud Overview, Trends, Case Studies;
  • Completion of  Module II - Cloud Application Foundations: Understanding Cloud Computing technologies; Introduction to HTML5 and JavaScript programming.
  • Completion of Module III - Cloud Application Developer: Cloud Service models (IaaS, PaaS, SaaS); Bluemix applications; Building applications using Node.js, Eclipse, Cloud Foundry and DevOp Services; REST architecture, JSON and Functional security; Data Services in Bluemix; Server side JavaScript; Web Application framework; Liberty profile (administer, deploy and monitor applications).
  • Passed the Cloud Application Developer academic practice test.

Students

Mastery Award

Description

The badge earner has a proven expertise in how to build, run, deploy, and develop applications on a hybrid cloud development platform, using IBM Bluemix. The badge earner has demonstrated advanced proficiency on topics such as Node.js, REST architecture, JSON, Cloud Foundry and DevOps services.

Criteria

  • Received the Explorer Award for Students
  • Passing the IBM Proctored Exam for "IBM Cloud Application Developer"

Educators

Explorer Award

Description

Through attendance in an instructor-led faculty workshop designed to show faculty how to educate students, this badge earner has demonstrated the ability to build, run, deploy, and develop applications on a hybrid cloud development platform, using IBM Bluemix. This individual has demonstrated an understanding of topics such as Node.js, REST architecture, JSON, Cloud Foundry and DevOps services.

Criteria

  • Completion of Module I - Cloud Computing Overview: Cloud Overview, Trends, Case Studies;
  • Completion of  Module II - Cloud Application Foundations: Understanding Cloud Computing technologies; Introduction to HTML5 and JavaScript programming.
  • Completion of Module III - Cloud Application Developer: Cloud Service models (IaaS, PaaS, SaaS); Bluemix applications; Building applications using Node.js, Eclipse, Cloud Foundry and DevOp Services; REST architecture, JSON and Functional security; Data Services in Bluemix; Server side JavaScript; Web Application framework; Liberty profile (administer, deploy and monitor applications).
  • Participation in the faculty enablement session.
  • Passed the Cloud Application Developer academic practice test.

Educators

Mastery Award

Description

The badge earner has a proven expertise in how to build, run, deploy, and develop applications on a hybrid cloud development platform, using IBM Bluemix. The badge earner has demonstrated advanced proficiency on topics such as Node.js, REST architecture, JSON, Cloud Foundry and DevOps services.

Criteria

  • Received the Explorer Award for Educators
  • Passing the IBM Proctored Exam for "IBM Cloud Application Developer"

Educators

Instructor Award

Description

Under guidance of an experienced instructor, this badge earner has demonstrated the ability to teach others how to build, run, deploy, and develop applications on a hybrid cloud development platform, using IBM Bluemix. This individual has demonstrated proficiency teaching students topics such as Node.js, REST architecture, JSON, Cloud Foundry and DevOps services.

Criteria

  • Teaching of Module I - Cloud Computing Overview: Cloud Overview, Trends, Case Studies;
  • Teaching of Module II - Cloud Application Foundations: Understanding Cloud Computing technologies; Introduction to HTML5 and JavaScript programming.
  • Teaching of Module III - Cloud Application Developer: Cloud Service models (IaaS, PaaS, SaaS); Bluemix applications; Building applications using Node.js, Eclipse, Cloud Foundry and DevOp Services; REST architecture, JSON and Functional security; Data Services in Bluemix; Server side JavaScript; Web Application framework; Liberty profile (administer, deploy and monitor applications).
  • Teaching the course under the supervision of a qualified instructor, and receiving teaching approval from the supervising instructor.
  • Receiving a 70% positive survey feedback.
  • Received the Mastery Award for Professionals

Educators

Author Award

Description

The badge earner has developed and published a university course to educate students on how to build, run, deploy, and develop applications on a hybrid cloud development platform, using IBM Bluemix. The course will teach students topics such as Node.js, REST architecture, JSON, Cloud Foundry and DevOps services.

Criteria

  • Received the Explorer Award for Educators
  • Publishing the university course in the university collaboration space
  • Submitting curriculum for the Faculty Rewards proposal
  • Obtaining the Faculty Rewards International Curriculum review board's approval

Professionals

Explorer Award

Description

Through an instructor-led classroom, this badge earner has demonstrated the ability to build, run, deploy, and develop applications on a hybrid cloud development platform, using IBM Bluemix. This individual has demonstrated an understanding of topics such as Node.js, REST architecture, JSON, Cloud Foundry and DevOps services.

Criteria

  • Completion of Module I - Cloud Computing Overview: Cloud Overview, Trends, Case Studies;
  • Completion of  Module II - Cloud Application Foundations: Understanding Cloud Computing technologies; Introduction to HTML5 and JavaScript programming.
  • Completion of Module III - Cloud Application Developer: Cloud Service models (IaaS, PaaS, SaaS); Bluemix applications; Building applications using Node.js, Eclipse, Cloud Foundry and DevOp Services; REST architecture, JSON and Functional security; Data Services in Bluemix; Server side JavaScript; Web Application framework; Liberty profile (administer, deploy and monitor applications).
  • Passed the Cloud Application Developer academic practice test.

Professionals

Mastery Award

Description

The badge earner has a proven expertise in how to build, run, deploy, and develop applications on a hybrid cloud development platform, using IBM Bluemix. The badge earner has demonstrated advanced proficiency on topics such as Node.js, REST architecture, JSON, Cloud Foundry and DevOps services.

Criteria

  • Received the Explorer Award for Professionals
  • Passing the IBM Proctored Exam for "IBM Cloud Application Developer"

Professionals

Instructor Award

Description

Under guidance of an experienced instructor, this badge earner has demonstrated the ability to teach others how to build, run, deploy, and develop applications on a hybrid cloud development platform, using IBM Bluemix. This individual has demonstrated proficiency teaching students topics such as Node.js, REST architecture, JSON, Cloud Foundry and DevOps services.

Criteria

  • Teaching of Module I - Cloud Computing Overview: Cloud Overview, Trends, Case Studies;
  • Teaching of Module II - Cloud Application Foundations: Understanding Cloud Computing technologies; Introduction to HTML5 and JavaScript programming.
  • Teaching of Module III - Cloud Application Developer: Cloud Service models (IaaS, PaaS, SaaS); Bluemix applications; Building applications using Node.js, Eclipse, Cloud Foundry and DevOp Services; REST architecture, JSON and Functional security; Data Services in Bluemix; Server side JavaScript; Web Application framework; Liberty profile (administer, deploy and monitor applications).
  • Teaching the course under the supervision of a qualified instructor, and receiving teaching approval from the supervising instructor.
  • Receiving a 70% positive survey feedback.
  • Received the Mastery Award for Professionals

Frequently Asked Questions

IMPORTANT NOTICE: Only faculty and students that have been authorised to access the portal can sign in.

  • How can I get a badge?
    • Each badge for a specific career path has it's own criteria. To know how to earn a specific badge, please go the Badge Offerings section and expand your chosen career path.
  • How to share open badges on social and professional media?
    • In order to display your badge on your Linkedin profile, log in to Acclaim, select the badge you would like displayed on Linkedin and then select share. The site will then walk you through connecting to Linkedin and a series of confirmation steps.