Learning about AI Agents is one of the most useful skills you can build today. Whether you want to code them yourself or just understand how they work for your business, there is a course for you.
Below is a breakdown of the best courses available. Some are for absolute beginners, while others require a bit of coding knowledge.
Below is a breakdown of the best courses available. Some are for absolute beginners, while others require a bit of coding knowledge.
- Best for: Absolute beginners.
- What it covers: This course gives you a broad look at what Artificial Intelligence and Machine Learning are. It does not focus strictly on "Agents," but it teaches the foundational concepts you need to understand before diving into more complex agent systems.
- Difficulty: Very Easy.
- Best for: Python developers looking for a quick start.
- What it covers: AutoGen is a framework from Microsoft that lets you create multiple agents that talk to each other to solve problems. This short course teaches you the "patterns" or recipes for building these teams.
- Difficulty: Beginner-friendly (if you know basic Python).
- Best for: Learners who know Python and math.
- What it covers: Natural Language Processing (NLP) is the technology that allows AI to read and write. Since most AI agents use text to communicate and think, this specialization teaches you the "brain" behind the agent.
- Difficulty: Intermediate/Advanced.
- Best for: Anyone who wants a free, fun introduction.
- What it covers: This is a free reading and coding course. It explains what agents are in very simple terms and lets you use the Hugging Face ecosystem to build simple ones.
- Difficulty: Beginner.
- Best for: Developers who want to build agents fast.
- What it covers: LangGraph is a popular tool for building agents. This course is practical and hands-on, showing you how to connect different AI models to do work for you.
- Difficulty: Intermediate (Requires Python basics).
- Best for: People who want a "bootcamp" style experience.
- What it covers: This is an intensive 6-week program focused on building, testing, and deploying autonomous AI workers. It covers the modern "stack" of agent frameworks, including OpenAI Agents SDK, CrewAI, LangGraph, AutoGen, and the Model Context Protocol (MCP).
- Difficulty: Intermediate.
- Best for: Managers and Business Leaders.
- What it covers: If you don't want to code but need to manage people who do, this is for you. It covers the strategy, safety, and business use-cases of AI agents without getting bogged down in math.
- Difficulty: Beginner (Non-technical).
- Best for: Career switchers looking for a resume credential.
- What it covers: This prepares you for a job. It covers RAG (giving AI access to your data) and Agent systems. It is comprehensive and includes hands-on labs.
- Difficulty: Intermediate/Advanced.
- Best for: Beginners who want a guided project.
- What it covers: Similar to the Udemy course, but with Udacity's project-based structure. You will build a specific project using the most popular tools in the industry.
- Difficulty: Intermediate
- Best for: Students who want a mix of theory and practice.
- What it covers: This course tries to bridge the gap between knowing the definitions and writing the code. It covers the theory of how agents think and the code to make them run.
- Difficulty: Beginner
- Best for: Beginner (requires basic Python).
- What it covers: CrewAI is a very popular tool that treats AI agents like employees (e.g., a Researcher agent and a Writer agent). This short course teaches you how to manage a team of AI agents easily.
- Difficulty: Beginner
See also: Top new AI agents by industry