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Through an IBM instructor-led workshop, this credential earner gained skills on Artificial Intelligence concepts, technology & use cases. The earner has demonstrated readiness to teach AI Fundamentals, Machine Learning Methods & Tools, Data Analytics for Machine Learning, NLP, Deep Learning and GenAI, & AI Industry Use Cases. The earner demonstrates the ability to deliver the AI course, applying pedagogical skills in the context of machine learning solutions for business applications.

Uncover and evaluate AI agent use cases that deliver measurable business value with financial efficiency.

Units in this learning path:

• Research Use Cases
• Identify Business Needs Define AI Use Cases
• Identify Quick Wins
• Knowledge Check
• Summary

Products: Azure AI Foundry, AI Services, Azure Openai, Ms Copilot

Roles: Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 21 minutes

Explore the AI Builder Key phrase extraction model and learn how to use it with other Microsoft Power Platform products.

Units in this learning path:

• 1 Intro Key Phrase Extraction
• 2 Business Problems Solved
• 3 Exercise
• 3a Check
• 4 Summary

Products: AI Builder, Power Platform, Power Automate

Roles: Business User, Maker

Level: Beginner

Subjects: Artificial Intelligence

Duration: 25 minutes

Explore AI Builder Language detection and learn how to use it with other Microsoft Power Platform products.

Units in this learning path:

• 1 Intro to Language Detection
• 2 Business Problems Solved
• 3 Exercise
• 3a Check
• 4 Summary

Products: AI Builder, Power Platform, Power Automate

Roles: Maker, Business User

Level: Beginner

Subjects: Artificial Intelligence

Duration: 28 minutes

Implement AI models with Microsoft Power Platform AI Builder

Modules in this learning path:

• Get Started AI Builder Document Automation
• Get Started with Form Processing
• Use AI Builder
• Get Started with AI Builder Text Recognition
• AI Builder Prediction
• Guided Project Document Process Model Email Approval AI Builder

Products: AI Builder, Power Apps, Power Automate, Power Platform

Roles: Developer, Functional Consultant

Level: Intermediate

Subjects: Artificial Intelligence, Automation, Business Applications

Duration: 192 minutes

Explore the power of AI tools in education and training plans. Learn how to integrate AI tools to enhance creativity, productivity, and efficiency in your training sessions. Understand the potential and limitations of AI through real-life examples and enhance your training experience.

Units in this learning path:

• Introduction
• Elevating Training Sessions with AI Tools
• Explore the Potential and Limitations of AI Tools
• Knowledge Check
• Summary

Products: AI Services, Azure Machine Learning, Azure Machine Learning Designer, M365 Apps, Azure Translator Text, Azure Translator Speech, Ms Copilot, Language Service

Roles: K 12 Educator, Business User, Higher Ed Educator, Data Engineer, School Leader

Level: Beginner

Subjects: Artificial Intelligence

Duration: 17 minutes

Generative Artificial Intelligence (AI) engineering with Azure Databricks uses the platform's capabilities to explore, fine-tune, evaluate, and integrate advanced language models. By using Apache Spark's scalability and Azure Databricks' collaborative environment, you can design complex AI systems.

Modules in this learning path:

• Introduction Language Models Databricks
• Retrieval Augmented Generation Azure Databricks
• Multistage Reasoning Azure Databricks
• Fine Tune Azure Databricks
• Evaluate Language Models Azure Databricks
• Responsible Language Models Azure Databricks
• Implement Llmops Azure Databricks

Products: Azure Databricks

Roles: Data Scientist, AI Engineer

Level: Intermediate

Subjects: Artificial Intelligence, Machine Learning

Duration: 417 minutes

Explore the data science process and learn how to train machine learning models to accomplish artificial intelligence in Microsoft Fabric. (DP-604T00)

Modules in this learning path:

• Introduction End Analytics Use Microsoft Fabric
• Get Started Data Science Fabric
• Explore Data for Data Science Microsoft Fabric
• Preprocess Data with Data Wrangler Microsoft Fabric
• Train Track Model Fabric
• Generate Batch Predictions Fabric

Products: Fabric

Roles: Data Scientist, Data Analyst, Data Engineer

Level: Beginner

Subjects: Machine Learning, Data Analytics, Data Engineering, Data Integration, Data Management

Duration: 327 minutes

A practical approach to implementing generative AI responsibly, and exploring content filters in AI Foundry portal.

Units in this learning path:

• Introduction
• Plan Responsible AI
• Identify Harms
• Measure Harms
• Mitigate Harms
• Operate Responsibly
• Exercise Content Filters
• Knowledge Check
• Summary

Products: Azure AI Foundry

Roles: AI Engineer, Developer, Solution Architect, Student

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 50 minutes

Use more advanced features of Azure AI Search to improve your existing search solutions. Learn how to change the ranking on documents, boost the most important terms to your organization, and allow searching in multiple languages.

Units in this learning path:

• Introduction
• Improve Ranking of Document Term Boosting
• Improve Relevance of Results Add Score Profiles
• Improve Index Analyzers Tokenized Terms
• Enhance Index to Include Multiple Languages
• Improve Search Experience by Ordering Results by Distance from Given Reference P
• Exercise Implement Enhancements to Search Results
• Knowledge Check
• Summary

Products: Azure, Azure Cognitive Search

Roles: AI Engineer, Developer, Solution Architect, Student

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 54 minutes

Learn how to implement best practices for AI agent workloads by leveraging frameworks like AI Center of Excellence, FinOps, GenAI Ops, Cloud Adoption Framework, and Well-Architected Framework.

Units in this learning path:

• AI Center Excellence
• Finops Framework
• Genai Ops
• Cloud Adoption Framework
• Well Architected Framework
• Knowledge Check
• Summary

Products: Azure AI Foundry, AI Services, Azure Openai, Ms Copilot

Roles: Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 34 minutes

Implement knowledge mining with Azure AI Search

Modules in this learning path:

• Create Azure Cognitive Search Solution
• Create Azure AI Custom Skill
• Create Knowledge Store with Azure Cognitive Search
• Implement Advanced Search Features Azure Cognitive Search
• Search Data Outside Azure Platform Cognitive Search
• Maintain Azure Cognitive Search Solution
• Use Semantic Search
• Improve Search Results Vector Search

Products: Azure, Azure Cognitive Search

Roles: AI Engineer, Developer, Solution Architect, Student

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 384 minutes