Udemy – Building AI Agents & Agentic AI System via Microsoft Autogen 2025-6

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Description

Building AI Agents & Agentic AI System via Microsoft Autogen course. This course is a hands-on, project-based training that helps you design, develop, and implement agent-based AI systems using the Microsoft AutoGen framework. In this course, you will learn the basics of agent-based AI and how it differs from traditional GenAI applications, and you will be introduced to the AutoGen architecture that enables coordination between multiple agents based on large language models (LLMs). You will build and customize different types of agents, such as UserProxyAgent, AssistantAgent, and GroupChatAgent, and implement multi-agent workflows that solve real-world problems through code generation, task allocation, and dynamic decision-making. In addition, you will learn how to connect external tools such as web APIs, databases, and Python functions to operating systems, and use AutoGen Studio to develop and monitor agent interactions. Other parts of the course cover optimizing agents for cost, speed, and performance, as well as deploying them for applications such as coding assistants, research bots, and multi-agent chat systems. By the end, you’ll have not only the theory but also the skills to build agent-based AI systems from the ground up, and you’ll be able to design intelligent teams that operate similar to human workflows. Also, comparing AutoGen with other frameworks such as LangChain and CrewAI will help you choose the best tool for your needs.

What you will learn

• Understand the basics of agent-based AI and how autonomous agents interact using the Microsoft AutoGen framework.
• Set up and configure AutoGen to build AI systems with multiple cooperating agents.
• Design and implement custom agents that perform tasks such as coding, reasoning, and decision-making.
• Build and deploy true multi-agent workflows that fully automate complex tasks.

This course is suitable for people who:

• ML and AI professionals who want to move into agent-driven development equipped with an LLM.
• Developers interested in building intelligent applications that go beyond chatbots.
• GenAI enthusiasts who are eager to push the limits of LLM capabilities with agent collaboration.
• Startup founders and product teams working on AI-powered applications.
• Students and researchers looking to build practical projects with advanced agent-based frameworks.

Course details: Building AI Agents & Agentic AI System via Microsoft Autogen

• Publisher: Udemy
• Instructor: KRISHAI Technologies Private Limited , Mayank Aggarwal , Krish Naik
• Language: English
• Education level: All levels
• Number of lessons: 124
• Training duration: 34 hours and 12 minutes

Course topics

Prerequisites for the Building AI Agents & Agentic AI System via Microsoft Autogen course

• Basic Python Programming - Students should understand Python syntax, functions, and object-oriented programming.
• Familiarity with APIs – Experience working with REST APIs or using third-party libraries will help in integrating LLMs and tools.
• Introductory AI/ML Knowledge – A basic understanding of large language models and how they work (eg, prompts, tokens).
• Command Line Usage – Comfort using terminal/command-line tools for installing packages and running scripts.
• Python Environment Setup – Ability to set up and manage virtual environments (eg, venv or conda) and install dependencies via pip.

Course images