8 Free Sources to Master Building AI Agents

AI agents are one of the hottest topics in the AI community. Researchers aim to make systems more autonomous, adaptable and capable of advanced reasoning or decision-making so they could handle tasks as our true AI assistants. In our AI agent articles, we've already provided you with a go-to-vocabulary of agent terms and explained what agentic workflow is. Now, we think you'd be interested in trying to build an AI agent yourself.

Here are 8 free sources to learn how to build AI agents of different types. Most of them are also suitable for beginners:

1. AI Agentic Design Patterns with AutoGen is a Microsoft and PennState’s course, ideal to learn how to create and customize multi-agent systems. Your agents will collaborate on complex tasks like coding and conversational chess game using the AutoGen framework. → Explore more

2. AI Agents in LangGraph short course by LangChain and Tavily will teach you how to use LangGraph components to build and manage AI agents and integrate agentic search capabilities. You’ll discover how agentic search retrieves multiple answers, switch conversations, and reload prior states, learn how to integrate human-in-the-loop into agent systems and much more. → Explore more

3. Generative AI Assistants Specialization (a 3-course series by Vanderbilt University) will help you create tailored GPT-based AI for any field. Through hands-on projects, you will build personalized AI assistants like tutors, meal planners, or travel coordinators to meet your specific needs. → Explore more

4. GenAI Agents: Comprehensive Repository for Development and Implementation is a large guide where you can find how to implement different types of agents from beginner to advanced level, such as simple conversational agent, self-improving agent, task-specific and creative agents. → Explore more

5. Serverless Agentic Workflows with Amazon Bedrock course can teach you to build and deploy serverless AI agents for real-world tasks. Using Amazon Bedrock, you'll develop a scalable customer service bot, integrating APIs, CRM systems, knowledge bases, and implementing guardrails for safety. → Explore more

6. Multi AI Agent Systems with crewAI course will teach you key principles for building AI agents so you will be able to build multi-agent systems for tasks like resume tailoring, customer support, and financial analysis. → Explore more

7. With Practical Multi AI Agents and Advanced Use Cases with crewAI you'll create practical tools like automated project planners, lead-scoring systems, and content creation pipelines. → Explore more

8. Building Agentic RAG with LlamaIndex: With this short course you’ll master building research agents that reason and make decisions using your data. You’ll start with a basic query router, add tool usage, and create advanced agents that analyze multiple documents. → Explore more