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Learn how to manage machine learning models in production with Azure Databricks.

Units in this learning path:

• Introduction
• Data Pipelines Feature Engineering
• Model Development Training
• Model Deployment Strategies
• Model Versioning Lifecycle Management
• Exercise
• Knowledge Check
• Summary

Products: Azure Databricks

Roles: Data Scientist

Level: Intermediate

Subjects: Machine Learning

Duration: 62 minutes

Learn how to use Microsoft 365 Copilot to manage meetings and enhance collaboration.

Units in this learning path:

• Introduction
• Streamline Meeting Prep
• Enhance Collaboration Chat Pages Notebooks
• Knowledge Check
• Summary

Products: M365, Office 365

Roles: Administrator, Business User, Functional Consultant, Solution Architect, Technology Manager

Level: Beginner

Subjects: Artificial Intelligence, Business Applications

Duration: 45 minutes

Learn how to manage models in AI Builder.

Units in this learning path:

• 1 Lifecycle
• 2 Manage Versions
• 3 Share
• 4 Check
• 5 Summary

Products: AI Builder, Power Platform, Power Automate

Roles: Business User, Maker

Level: Beginner

Subjects: Artificial Intelligence

Duration: 17 minutes

This module covers Azure Monitor fundamentals, including metrics collection, dashboards, alert and processing rules, and KQL-based log queries. Together, these capabilities enable faster root-cause analysis and improve operational reliability.

Units in this learning path:

• Introduction
• Understand Azure Monitor Metrics Visualization
• Configure Alerts Alert Processing Rules
• Query Log Data Log Analytics Workspace
• Exercise Configure Monitoring Azure Infrastructure
• Knowledge Check
• Summary

Products: Azure

Roles: Administrator

Level: Intermediate

Subjects: Artificial Intelligence, Infrastructure

Duration: 108 minutes

Learn to validate and maintain AI-powered business solutions with structured testing frameworks, metrics, and governance for enterprise reliability.

Units in this learning path:

• Introduction
• Recommend Process Metrics Test Agents
• Create Validation Criteria Custom AI Models
• Validate Effective Copilot Prompt Best Practices
• Design Test Scenarios AI Solutions Multiple Dynamics 365 Apps
• Build Strategy Creating Test Cases Using Copilot
• Knowledge Check
• Summary

Products: Microsoft 365 Copilot, Microsoft 365 Copilot Chat, Power Platform, Microsoft Copilot Studio, Dynamics 365

Roles: Solution Architect

Level: Advanced

Subjects: Generative AI, Data Analytics, Data Management, Data Engineering, Data Integration

Duration: 35 minutes

This module you're introduced to the basic principles of topics such as trigger phrases and conversation paths and how to create them.

Units in this learning path:

• 1 Introduction
• 2 Topics
• Bot Framework
• 3 Branch
• 5 Variables
• 6 Fall Back Topics
• 7 Manage Topics
• 8 Check
• 9 Summary

Products: Ms Copilot

Roles: Functional Consultant, Developer

Level: Intermediate

Subjects: Chatbots

Duration: 57 minutes

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…

A Learning Plan pulls together training content for a particular role or solutions, and organizes those assets from foundational to advanced. User Learning Plans as a starting point to discover training that matters to you. This learning plan is…

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…

Evaluate when to develop custom AI agents tailored to your needs and when to deploy prebuilt solutions from trusted platforms. Learn how to assess trade-offs in time-to-value, complexity, customization, and operational cost. This module also guides you in selecting the right models for your AI agents, from lightweight task-specific agents to advanced multi-modal agents.

Units in this learning path:

• Select AI Service Host Platform
• Custom Built AI Agents
• Evaluate Trade Offs
• Knowledge Check
• Summary

Products: Microsoft Foundry, Foundry Tools, Azure Openai, Ms Copilot

Roles: Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 28 minutes

In this digital learning experience, you will learn the importance of maintaining an SAP clean core when integrating with Amazon Web Services (AWS). You will also explore the capabilities to modernize SAP applications using AWS. The course covers…

Learn how to monitor the performance of your generative AI application using Microsoft Foundry. This module teaches you to track key metrics like latency and token usage to make informed, cost-effective deployment decisions.

Units in this learning path:

• Introduction
• Why Monitor
• What to Monitor
• How to Monitor
• Prepare Scripts
• Informed Decisions
• Exercise
• Knowledge Check
• Summary

Products: Microsoft Foundry

Roles: AI Engineer

Level: Intermediate

Subjects: Artificial Intelligence, App Development

Duration: 60 minutes