Two Days Instructor-led 

Four Days Instructor-led for more technical depth 

About this course 

The next generation of software is agentic. These AI agents don’t just respond — they plan, reason, act, and adapt. From copilots to autonomous systems, enterprises are rearchitecting workflows around agents. In this hands-on course, you’ll go beyond theory.

You’ll build fully functional AI agents using Azure AI Studio and Azure OpenAI — and deploy them using enterprise-grade tools. Whether you’re a developer, architect, or tech leader, this course gives you the blueprint to lead the agentic shift in your org. 

What you will learn 

• Understand the architecture and lifecycle of AI agents — from prompt to plan to action
• Leverage Azure AI Studio + Azure OpenAI to create powerful multi-step agents
• Use prebuilt models (GPT-4, Embeddings, Cognitive Services) and build your own
• Deploy, monitor, and scale agent workflows in the cloud
• Integrate agents with enterprise APIs, tools, and memory systems
• You will walk away with:
  • A functioning AI agent running in Azure
  • A downloadable AI agent blueprint for reuse in your org
  • A digital badge for completing the course
  • Confidence to lead Agentic AI initiatives at work 

What you will need

• Access to an Azure subscription (free or paid)
• Familiarity with Azure services and cloud concepts
• A high-level understanding of generative AI and LLMs 
• (Optional but helpful) Experience with Python or C#
• Microsoft Azure Fundamentals (AZ-900) 
• Microsoft AI Fundamentals (AI-900)

This course is great for 

• Solution architects exploring how to integrate agents into enterprise systems
• Developers & MLOps engineers building with Azure AI and OpenAI APIs 
• IT and innovation leaders designing intelligent automation across business functions
• Product teams prototyping AI-driven assistants, copilots, or workflow tools

Topics Covered 

Module 1: What Is an AI Agent in Azure? 

Understand the fundamentals of AI agents and Azure’s ecosystem 

• Overview of agent architecture and capabilities
• Agentic vs traditional automation: key differences
• Introduction to Azure OpenAI & model capabilities (GPT-4, vision, embeddings)
• Demo: Agent behavior in the Azure Playground
• Limits, quotas, and pricing considerations
• Q&A + Discussion

Module 2: Agent Development with Azure AI Studio 

Hands-on with Azure’s flagship tool for agent workflows 

• Introduction to Azure AI Studio (aka AI Foundry)
• Building agents with planning, memory, and tools
• Using prompts, APIs, functions, and data connectors 
• Demo: Creating a workflow-aware agent project 
• Q&A + Demo Extension 

Module 3: Coding and Deploying AI Agents 

From concept to cloud — deploy your agents

• Code walkthroughs in C# and Python
• Calling agents via REST and SDKs
• Deploying and testing agents in the Azure cloud
• Monitoring usage, performance, and safety
• Break + Q&A

Module 4: Integrating Agents into Real Workflows 

Bring agents to life in real-world use cases 

• Customer support and ticketing systems
• Finance and risk agents
• Healthcare process automation
• Manufacturing workflow optimization
• Demo: Connecting to enterprise APIs and tools
• Wrap-up Q&A and feedback