Skip to content
AI Masters DoJo
ExploreMenu
Book a discovery call

Agents and workflows

Azure AI Foundry and Agent Development

Explore Azure AI Foundry and Azure AI agents, including RAG and multi-agent systems.

A small sample of 30,000+ courses curated from around the world, all available to DoJo members.

Book a discovery callExplore DoJo membership

A free 30-minute conversation with Ted about your goals.

Already a member? Open this course

Course topics

Agents and workflows

  • Azure AI agents
  • RAG agents
  • Agent evaluation

You inspect the result

Find your fit

Is this a useful starting point?

For developers with Python programming experience.

Starting point
Expert
Course length
19.5 total hours
Lessons
100 lectures

Course by Kuljot Singh Bakshi

Course last updated: 04/2026

Requirements
  • Programming Experience with Python required
What is included
  • 19.5 hours on-demand video
  • 3 articles
  • 28 downloadable resources
  • Access on mobile
  • Certificate of completion

DoJo membership: A$250 per month per seat, excluding GST. Includes fortnightly group support and a private member community.

Explore the lessons

Course curriculum.

19 sections • 100 lectures • 19h 28m total length

Introduction1 lecture • 4min
  1. Course Introduction03:40
Join the Discord Server!1 lecture • 1min
  1. Join the Discord Server!00:08
GenAI Primer (GA-101)5 lectures • 49min
  1. Intro to GenAI, Agents and Compound AI Systems13:12
  2. What is Azure OpenAI?06:10
  3. Lab: Deploying an Azure OpenAI Resource (Hands-On Lab)03:27
  4. Lab: Chatting With Our Azure OpenAI Model (Hands-On Lab)13:08
  5. Lab: Calling our Azure OpenAI LLM through ChatCompletions API (Hands-On Lab)13:06
Introduction to Azure AI Foundry6 lectures • 51min
  1. Introduction to Azure AI Foundry Studio Hub11:27
  2. Difference(s) between Standalone Projects and Hub-Based Projects12:40
  3. Lab: Navigating the Standalone Projects and Hub Based Projects Studio (Demo)05:35
  4. Lab: Deploying Azure AI Foundry Resource (Hands-On Lab)09:53
  5. Lab: Deploying LLM Model from Model Catalog (Hands-On Lab)05:10
  6. Azure AI Foundry Architecture06:44
Introduction to Azure AI Agents (AAI-101)6 lectures • 1hr 2min
  1. Introduction to Azure AI Agents Service17:29
  2. Lab: Building First Agent through Azure AI Foundry UI (Hands-On Lab)09:47
  3. Introduction to Azure AI Foundry SDK and comparison with Assistants API04:39
  4. Update: Which Azure AI Foundry SDK to use for Labs ?08:25
  5. Lab: Building a Basic Agent with Azure AI Foundry SDK (Hands-On Lab)12:38
  6. Lab: Working With Threads and Azure AI Agent (Hands-On Lab)09:20
Building a Bing WebSearcher Agent2 lectures • 16min
  1. Lab: Deploying a Bing Grounding Resource (Hands-On Lab)04:23
  2. Lab: Building our Agent with the SDK (Hands-On Lab)11:32
Building an Agent with Function Calling4 lectures • 24min
  1. Introduction to Function Calling04:38
  2. What we will be building01:56
  3. Introduction to the OpenWeather API01:40
  4. Lab: Building a Function Calling Agent (Hands-On Lab)15:45
Building an Agent with OpenAPI specified Tools3 lectures • 19min
  1. What are OpenAPI Tools?06:07
  2. What we will be building?02:54
  3. Lab: Building an Azure AI Agent with OpenAPI Tool (Hands-On Lab)10:22
Building a RAG Agent7 lectures • 1hr 18min
  1. The What, Why and How of RAG15:45
  2. What Are Vector Embeddings?16:23
  3. Lab: Working with Vector Embedding engine (Hands-On Lab)07:48
  4. Vector Search With Azure Cognitive Search Theory12:47
  5. RAG Agent Architecture02:12
  6. Lab: Creating Our Azure AI Search Index for RAG (Hands-On Lab)15:12
  7. Lab: Bringing our RAG agent to life with the SDK (Hands-On Lab)08:14
Building a Code Interpreter Agent1 lecture • 11min
  1. Lab: Building a Code Interpreter Agent (Hands-On Lab)11:26
Multiple Tools With a Single Agent2 lectures • 16min
  1. What we will be building?03:14
  2. Lab: Building Our Multi-Tool Agent (Hands-On Lab)12:41
Model Context Protocol (MCP)6 lectures • 1hr 40min
  1. Introduction to MCP14:07
  2. Detailed breakdown of MCP13:06
  3. Claude Desktop and GitHub Copilot on VSCode Installation04:14
  4. Lab 1: Running GitHub MCP Server (Hands-On Demo)23:19
  5. Lab 2: Creating a Weather MCP Server (Hands-On Demo)17:53
  6. Lab 3: Creating an Azure AI Agent Service MCP Server (Hands-On Demo)27:07
Microsoft Agent Framework with Microsoft Foundry14 lectures • 2hr 33min
  1. Introduction to Microsoft Agent Framework18:50
  2. Note: Github Repo for this Module!!!00:03
  3. Lab: Deploying Microsoft Foundry and Walkthrough (Hands-On Lab)13:14
  4. Lab: Deploying OpenAI Model in Foundry and API Call (Hands-On Lab)12:03
  5. Lab: Microsoft Foundry Basic Chat Agent with MAF (Hands-On Lab)17:58
  6. Lab: Local Basic Chat Agent with MAF (Hands-On Lab)08:29
  7. Lab: MCP Tool Agent with MAF (Hands-On Lab)09:56
  8. Lab: Multi-Tool Agent with MAF (Hands-On Lab)08:43
  9. Lab: Getting Started with DevUI to visualize MAF Flows (Hands-On Lab)08:18
  10. Lab: Working with Structured Outputs in MAF (Hands-On Lab)08:02
  11. Lab: Sequential Workflows with MAF (Hands-On Lab)12:17
  12. Lab: Visualizing Sequential Workflow with DevUI (Hands-On Lab)10:54
  13. Lab: Parallel Workflows with MAF (Hands-On Lab)15:31
  14. Lab: Visualizing Parallel Workflows with DevUI (Hands-On Lab)09:08
AI Foundry Local: Local LLMs for the Win!5 lectures • 55min
  1. Introduction to AI Foundry Local12:00
  2. Lab: Onboarding AI Foundry Local to our Device (Hands-On Lab)12:15
  3. Lab: Calling Foundry Local Models via Python Notebook (Hands-On Lab)12:50
  4. Lab: Getting Started with Langchain and AI Foundry Local (Hands-On Lab)10:04
  5. Lab: Web UI for AI Foundry Local (Hands-On Lab)07:43
Evaluating Our Agent9 lectures • 1hr 59min
  1. Introduction to GenAI Evaluation and AI Evaluation SDK11:46
  2. Lab1: Getting Started with the AI Evaluation SDK (Hands-On Lab)14:37
  3. Mechanics of the AI Evaluation SDK: How it Works12:19
  4. Lab: Evaluating our RAG Agent with Groundedness (Hands-On Lab)22:00
  5. Lab: Building a Custom Prompt Evaluator09:57
  6. Introduction to Agent Tracing Capability06:41
  7. Lab: Connecting Application Insights to Azure AI Project (Hands-On Lab)05:52
  8. Lab: Tracing our Agent via Code (Hands-On Lab)20:00
  9. Lab: Building Token Usage Dashboards for Cost Optimization (Hands-On Lab)16:16
Azure Virtual Networking: Securing our AI Agent8 lectures • 1hr 57min
  1. Introduction to Azure Virtual Networking08:58
  2. Introduction to Private and Service Endpoints13:22
  3. Lab: Creating a Private Endpoint (Hands-On Lab)21:07
  4. Introduction to Azure Firewall12:13
  5. Lab: Creating Azure Firewall (Hands-On Lab)26:24
  6. Introduction to Azure DDoS Protection Plan09:58
  7. Introduction to NSGs and ASGs (Network and Application Security Groups)14:15
  8. Lab: Working with NSG (Hands-On Lab)10:22
Azure AI Content Understanding - Multi-Modal RAG10 lectures • 2hr 13min
  1. Introduction to Azure AI Content Understanding20:52
  2. Clarity on Pricing!02:36
  3. Lab: Trying out Content Understanding in Azure Portal (Hands-On Lab)13:23
  4. Lab: Content Understanding with Python Notebook (Hands-On Lab)16:19
  5. Lab: Creating and Testing Custom Analyzer (Hands-On Lab)20:02
  6. Intro to Sustainability RAG Project Architecture04:03
  7. Note: Github Repo for the Project00:03
  8. Lab: Project Infrastructure Set-Up (Hands-On Lab)09:18
  9. Lab: Data Preparation for RAG (Hands-On Lab)32:31
  10. Lab: Building and Running the RAG Pipeline (Hands-On Lab)14:06
Capstone Project 1: Building a Search Engine with Vector Embeddings6 lectures • 1hr 52min
  1. Project Introduction: The Why, What and How?09:22
  2. Introduction to RAG with Azure CosmosDB20:28
  3. RAG with CosmosDB for NoSQL API: Architecture06:03
  4. RAG with CosmosDB for NoSQL API: Hands on Lab29:19
  5. Deploying Resources on Azure (Hands-On Lab)16:12
  6. Running our Project (Hands-On Lab)30:18
Capstone Project 2: Building a Video Generation Multi-Agent System4 lectures • 47min
  1. Capstone Project 2: Introduction06:06
  2. Lab 1: Testing OpenAI Sora in Video Playground (Hands-On Lab)06:24
  3. Lab 2: Testing OpenAI Sora via Python Code (Hands-On Lab)12:45
  4. Lab 3: Video Generator Multi-Agent System (Hands-On Lab)22:11

From learning to practice

Try this next.

Build a small Azure agent exercise and inspect its tool use, retrieved information and evaluation results.

A useful next step

Choose where to start.

Talk through your goals in a free 30-minute discovery call with Ted. Bring a task you want to improve and the tools you already use.

Book a discovery callExplore DoJo membership

Related learning

Explore the topic further.

Browse the course sample