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This module examines the components available for managing and administrating agents.

Units in this learning path:

• 1 Introduction
• 2 Environments
• Generative AI
• 3 Bot Topics
• 4 Bot Entities
• 5 Monitor
• 6 Administer
• Export Import Bots
• Authentication
• 7 Check
• 8 Summary

Products: Ms Copilot

Roles: Maker, Functional Consultant, Administrator, Business User

Level: Intermediate

Subjects: Chatbots

Duration: 50 minutes

Managing and optimizing AI agent investments on Azure is now more streamlined and powerful with the built-in observability capabilities in Microsoft Foundry. These tools provide enterprise-grade observability, governance, and performance optimization capabilities essential for deploying intelligent, goal-driven agents at scale. These tools provide enterprise-grade observability, governance, and performance optimization capabilities essential for deploying intelligent, goal-driven agents at scale.

Units in this learning path:

• Monitor Optimize Agent Use
• Budget
• Optimize Spending
• Knowledge Check
• Summary

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

Roles: Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 34 minutes

MLflow model management and responsible AI dashboard in Azure Machine Learning.

Modules in this learning path:

• Register Mlflow Model Azure Machine Learning
• Manage Compare Models Azure Machine Learning

Products: Azure Machine Learning

Roles: Data Scientist

Level: Beginner

Subjects: Machine Learning

Duration: 82 minutes

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 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: Azure AI Foundry, AI Services, 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…