Build Autonomous AI Agents with CrewAI & AutoGen

• What You Will Learn

• ✓ How AI agents work and the building blocks they all share
• ✓ The differences and strengths of CrewAI, AutoGen, Swarm, LangChain Agents, and Magnetic One
• ✓How to build real, functional agent workflows—from drafting emails to automating research and delivery tasks
• ✓Connecting agents to real-world data sources, tools, APIs, and external environments
• ✓Adding memory, modular skills, and planning abilities to scale agent performance
• ✓Use cases that can automate business workflows or inspire your own AI startup ideas

Requirements

• Basic Python programming knowledge (variables, functions, simple data structures)
• Familiarity with API concepts and JSON data structures
• Curiosity about how AI systems work behind the scenes
• No prior experience with AI agents or machine learning required

Description

Agentic AI is the next evolution of intelligent systems—AI agents that don’t just chat, but act, reason, and collaborate. In this hands-on course, you'll learn how to build real-world agent systems that automate tasks, work with real data, and operate independently across tools and APIs.

You’ll explore the most powerful frameworks in the space, including CrewAI, AutoGen, OpenAI Swarm, and LangChain Agents. Each framework gives you a different way to think about agents—as teammates, workflows, swarms, or programmable tools—and you’ll learn to pick the right one for your goals.

Whether you're building a solo agent or a full team that delegates and coordinates, this course walks you through the architecture, coding, deployment, and use cases step by step. You’ll even explore Microsoft’s Magnetic One, a groundbreaking system for scalable agent collaboration.

From drafting emails and automating research to building delivery agents and intelligent assistants—by the end, you won’t just understand agents. You’ll be shipping them.

Why Take This Course?

• Built for Builders
This course is designed for developers who want to go beyond theory. You'll create functional agents that do real work—filter emails, generate content, collaborate, and interact with APIs.

• Framework Comparisons
You’ll learn the differences between CrewAI, AutoGen, Swarm, LangChain, and Magnetic One—when to use which, how they work under the hood, and how to integrate them into your stack.

• Hands-On Projects
We walk you through real-world examples like building an autonomous pizza delivery agent, automating research, or creating a swarm that sends and drafts emails using real business data.

• Career-Ready AI Skills
AI agent systems are at the cutting edge of automation and productivity. This course gets you up to speed with the same tools used by top research labs and startups.

• Beginner Friendly, Expert Worthy
Whether you’re just getting started or want to expand your AI toolkit, this course gives you clear code, visual walkthroughs, and real-world context to make the concepts stick.

Who This Course Is For

• This course is for developers, tech-savvy creators, and curious learners who want to understand and build with modern AI tools—from simple chatbot logic to full multimodal assistants and real-world applications.
• It’s especially well-suited for those looking to integrate OpenAI or open-source models into practical projects.

Learn from an AI Development Expert

Hi, I'm Sebastian Schlaak, founder of AI-for-Devs.

With a Master’s degree in Informatics and over 15 years of experience in software and AI development, I specialize in helping developers build practical, production-ready AI systems.

My courses are designed to bridge the gap between theory and implementation. Whether you're working with OpenAI, LangChain, or open-source models like Llama, I focus on giving you the tools, code, and confidence to ship real-world applications.

Join 1,000+ developers who’ve used these methods to launch AI tools, streamline workflows, or kick off entirely new product ideas.