Developers, AI engineers, and technical professionals interested in building AI agents using Azure tools

1. Basic familiarity with Microsoft 365
2. Basic understanding of business processes
3. Experience using Excel, SharePoint, or similar data sources is helpful
4. No programming experience required

Course Outline:

1. Introduction to AI Agents

Topics Covered

1. What are AI agents?
2. Difference between chatbots and agents
3. Enterprise use cases

Demonstration

Overview of the Azure AI Studio interface.

2. Azure AI Studio Architecture

Topics Covered

1. AI projects and resources
2. Models and endpoints
3. Tools for building AI applications

3. Creating an AI Agent

Topics Covered

1. Defining agent instructions
2. Configuring system prompts
3. Selecting models

Hands-On Lab

Create a basic AI agent.

4. Designing Agent Conversations

Topics Covered

1. Conversation flows
2. Managing user inputs
3. Handling multi-step interactions

Hands-On Lab

Build a conversational workflow.

5. Connecting Agents to Knowledge Sources

Topics Covered

1. Connecting documents and databases
2. Retrieval augmented generation
3. Improving response accuracy

Hands-On Lab

Connect an agent to a document knowledge base.

6. Automating Tasks with AI Agents

Topics Covered

1. Calling external APIs
2. Triggering workflows
3. Integrating with enterprise applications

Hands-On Lab

Create an agent that performs an automated task.

7. Testing and Deploying AI Agents

Topics Covered

1. Testing agent responses
2. Debugging interactions
3. Deploying agents to applications

Deployment Options

1. Enterprise applications
2. Internal copilots
3. Customer support assistants

Training material provided: Yes (Digital format)