Duration - 20 hours
|
Level -
Last Updated Jun 2025
Target Audience
Suggested Certification
Hands on Labs
Course Code
This is a comprehensive learning journey designed to rapidly equip professionals with the skills needed to effectively build, demonstrate, and deploy powerful AI-driven agents. From presales essentials using Microsoft Copilot Studio and SharePoint agents to advanced multi-agent development leveraging Azure AI Foundry, AutoGen, Semantic Kernel, and Microsoft Teams SDK, participants will progressively gain deep, practical insights. Attend this workshop to master key AI concepts, accelerate your organization's AI capabilities, and confidently architect, deploy, and scale sophisticated AI agent solutions.
M365 Copilot and agents
How Copilot works
Semantic index for Copilot
M365 Copilot Chat
Agents Use cases
New agents in Microsoft 365
Unlock more value with SharePoint agents
Microsoft 365 Extensibility Planning and approach
Declarative agents and agent tooling
Explore Copilot Studio Agent Builder
Build declarative agents with Microsoft 365 Agents Toolkit
Train Copilot with Copilot Tuning
Build custom agents with Copilot Studio
Autonomous agents overview
Agent Governance - Overview
Gen-AI decision guide – when to build, buy or extend
Explore Copilot Studio Agent Builder
Build HR Assistant Agent with Copilot Studio
Incorporate actions in HR Agent
Enable Autonomous Capabilities in Microsoft Copilot Studio for HR Activities
Customizing your agents – Orchestrator, UI, Knowledge, Actions, Autonomy
Copilot Studio implementation guidance for architects
Generative AI in Copilot Studio
Copilot Studio + Power Platform
Building voice-enabled agents
AI Foundry integration
Developing agents using Microsoft 365 Agents SDK
How language models work
AI Foundry and SDK introduction
AI Foundry Model Catalog
Azure AI Services
Azure OpenAI Service and model guidance
Models-as-a-Service
Azure AI Foundry Agent Service
Safeguard with Trustworthy AI
Setup AI Project and perform Chat Completion from VS Code
Build a simple AI Agent
Develop a multi-agent system
Retrieval Augmented Generation (RAG)
Customizing models – Fine tuning, distillation
Responses API (preview)
Azure AI Foundry Agent Service - Orchestrate and debug AI workflows
Multi-agent applications
Understanding Semantic Kernel
Understanding AutoGen Agents Framework
Multi-Agent Collaboration & Orchestration with AutoGen / Semantic Kernel
Set Up Azure AI Foundry SDK and Provision Resources
Build a Retrieval-Augmented Generation(RAG) Pipeline
Evaluate and Optimize RAG Performance
Semantic Kernel Fundamentals
Semantic Kernel Plugins
Scaling challenges and agent controls
Manage AI performance in production
Observability Tools
Enabling Enterprise governance and management
Enterprise grade security and data protection
Monitoring and observability
Identifying risks
Azure AI Content Safety
Evaluation and GenAIOps
Identity and access management
Network Security for AI apps
Continuous security for AI
Understanding the Lifecycle of Flow Development
Building and Customizing Prompt Flows
Evaluation Flow Setup
Fine-Tuning Prompts for Optimal Performance
Implementing Chat Flow and Tool Integration
Ensuring Responsible AI Practices with Content Safety
