Explore digital courses

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: Microsoft Foundry, Foundry Tools, 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

Learn to design intelligent search, work with models and embeddings, and build Retrieval Augmented Generation (RAG) patterns in T-SQL.

Modules in this learning path:

• Design Implement Models Embeddings with SQL
• Design Implement Intelligent Search with SQL
• Design Implement Rag with SQL

Products: Azure SQL Database, SQL Server, Foundry Tools

Roles: Developer, Data Engineer

Level: Intermediate

Subjects: Artificial Intelligence, Databases

Duration: 220 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: Foundry Tools, 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

Connect an AI assistant to Azure Cosmos DB with a Model Context Protocol server, add durable memory and multi-step retrieval with the agent toolkits, and choose the right tool for a scenario.

Units in this learning path:

• Introduction
• Understand AI Assisted Toolset
• Use Cosmos Db Mcp Server
• Use Agent Toolkits
• Choose Tool Understand Scope
• Exercise Inspect Azure Cosmos Db Azure Mcp Server
• Knowledge Check
• Summary

Products: Azure Cosmos Db, Azure Openai

Roles: Developer

Level: Intermediate

Subjects: Artificial Intelligence, Databases, Cloud Computing

Duration: 95 minutes

Implement enterprise CI/CD pipelines for multi-agent systems using GitHub Actions and Microsoft Foundry. Design coordinated deployment pipelines with agent version compatibility validation, implement canary and blue-green deployment strategies, configure multi-environment strategies, and automate rollback triggered by quality regression metrics.

Units in this learning path:

• Introduction
• Design Multi Agent Deployment Pipelines
• Implement Progressive Deployment Strategies
• Configure Multi Environment Agent Strategies
• Automate Rollback Procedures
• Knowledge Check
• Summary

Products: Azure, Microsoft Foundry, Github

Roles: AI Engineer, Devops Engineer, Solution Architect

Level: Advanced

Subjects: Artificial Intelligence, Devops

Duration: 41 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: 329 minutes

A practical approach to implementing generative AI responsibly, and exploring guardrails 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: Microsoft Foundry

Roles: AI Engineer, Developer, Solution Architect, Student

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 45 minutes

Implement advanced retrieval-augmented generation (RAG) pipelines for production AI agents using Azure AI Search and Microsoft Foundry. Design hybrid search architectures, implement reranking strategies, configure dynamic knowledge source routing, and optimize chunking and embedding strategies.

Units in this learning path:

• Introduction
• Design Hybrid Search Architectures
• Implement Rerank Context Rank
• Design Dynamic Knowledge Source Route
• Optimize Chunk Embed Strategies
• Knowledge Check
• Summary

Products: Azure, Microsoft Foundry, Azure Cognitive Search

Roles: AI Engineer, Solution Architect, Data Scientist

Level: Advanced

Subjects: Artificial Intelligence, Machine Learning

Duration: 41 minutes