Top 15 AI Agents Courses [Free & Paid]
12 minutes
Industry reports project that the AI agents market will grow at a 45.8% compound annual rate from 2025 to 2030, reaching over $50.31 billion by 2030. Already valued at around $7.63 billion in 2025, AI agents take an extra step beyond traditional AI models.
Unlike typical AI systems that generate outputs instantly, AI agents are capable of making multiple reasoning steps. They gather and process additional information to produce more informed and context-aware results, often leveraging a range of specialized tools. This extra layer of intelligence makes them valuable for businesses looking to boost efficiency and cut operational costs.
In this post, we'll cover the 15 best courses that teach you how to create AI assistants designed to automate work, saving you time, money, and stress.
What are AI Agents?
AI agents are autonomous systems engineered to perform tasks, make decisions, and interact with users or their environments using artificial intelligence. Unlike standard Large Language Models (LLMs) that simply process an input and generate a response immediately, AI agents take the extra step of retrieving relevant information before producing their output. This process makes them a powerful tool for automating even complex workflows—especially for businesses looking to outsource non-core tasks.
Why Should I Take a Course in AI Agents?
AI agents not only save businesses substantial amounts of money, they also free up everyday workers by automating routine tasks. Every moment not spent leveraging an AI agent could mean missed opportunities to streamline operations and focus on what really matters. However, building these agents isn't always straightforward—particularly when you're dealing with multiple interconnected models or designing solutions for complex tasks.
Taking a course in AI agents equips you with the skills to move beyond basic customer service bots. You'll learn how to create advanced, higher-level agents that can handle intricate and meaningful work, ultimately making your workflow more efficient and effective.
Course Comparison at a Glance
1. Introduction to Generative AI Agents for Business Professionals
- Level: Intermediate
- Instructors: Sander Schulhoff
- Duration: 3 days
- Free/Paid: Included with Learn Prompting Plus (access to 15 courses)
- Certificate: Yes
- Visit Course: Link
This course gives an introductory understanding of AI agents, including different agent types: Tool Use Agents, Observation-Based Agents, Code-Based Agents, and Retrieval-Augmented Generation (RAG) Agents. It covers how these agents automate work, help make decisions, and optimize business operations, especially in industries like e-commerce, customer support, and data analysis. The course discusses what Generative AI Agents are, how they work, and how they can be applied effectively, providing a working knowledge of AI agents within the context of the business world.
Topics Covered:
- Core concepts of AI agents and their role in automation
- Overview of key AI agent types: Tool Use, Observation-Based, Code-Based, and RAG Agents
- How AI agents improve efficiency in business applications
- Practical examples and case studies of AI agent implementations in business settings
- Assessing AI agent solutions for real-world applications
2. Multi AI Agent Systems with crewAI
- Level: Beginner
- Instructors: JoĂŁo Moura
- Duration: 3 hours
- Free/Paid: Free
- Certificate: No
- Visit Course: Link
This course teaches how to design teams of AI agents that work together to complete multi-step tasks. Instead of relying on a single model, crewAI has multiple specialized agents that collaborate, which improves task automation in areas like content creation, event planning, and customer outreach. Participants learn to take advantage of multi AI by assigning roles, equipping agents with memory, and managing how they communicate and cooperate.
Topics Covered:
- Fundamentals of multi-agent AI systems and collaborative AI
- Assigning specialized roles and goals to AI agents
- Equipping agents with short-term, long-term, and shared memory
- Integrating tools for enhanced functionality
- Managing AI agent cooperation for efficiency and accuracy
3. AI Agents in LangGraph
- Level: Intermediate
- Instructors: Harrison Chase, Rotem Weiss
- Duration: 1 hour
- Free/Paid: Free
- Certificate: No
- Visit Course: Link
This course discusses how to use LangGraph, a tool designed to build structured, controllable AI agents. Participants learn to develop AI agents from scratch using Python, integrate search functionality to improve their agent's knowledge, and implement persistence for long-term conversations with the AI agent. LangGraph makes it easier to manage multi-step projects and ensures AI-generated responses stay relevant contextually.
Topics Covered:
- How LangGraph structures AI agent decision-making
- Implementing agentic search for better data retrieval
- Managing agent memory and state persistence
- Building AI-powered research and writing assistants
- Human-in-the-loop techniques for better AI-generated content
4. Intro to AI Agents: Build an Army of Digital Workers with AI
- Level: Beginner
- Instructors: Yash Thakker
- Duration: 6 hours
- Free/Paid: $17.99
- Certificate: Yes
- Visit Course: Link
This hands-on course introduces several AI agent tools like CrewAI, AutoGen, and Devin AI. It walks through building AI-powered applications that can automate work, generate content, and enhance productivity overall. For each tool, it covers the tool's features and how and where it can be applied and integrated. The course also explores multi-agent collaboration, showing how different AI systems can work together to complete complex tasks more efficiently.
Topics Covered:
- Overview of AI agent frameworks and their applications
- Introduction to CrewAI, AutoGen, Devin AI, and Swarm of Agents
- Automating business workflows with AI-driven tools
- Enhancing AI agent efficiency through collaboration
- Real-world case studies of AI agent-driven automation
5. AI Agents: Building Teams of LLM Agents that Work For You
- Level: Beginner
- Instructors: Mohsen Hassan and Ilyass Tabiai, PhD
- Duration: 9 hours
- Free/Paid: $14.99
- Certificate: Yes
- Visit Course: Link
This course focuses on deploying AI agents that work autonomously to handle complex, multi-step tasks. Participants build AI systems using OpenAI's API, AutoGen, and Python, and learns how to integrate these agents into real-world applications. The course also covers cloud deployment and strategies for monetizing AI products. It also discusses how to build a frontend using Streamlit to interact with AI agents more easily.
Topics Covered:
- Using OpenAI's API and AutoGen to build AI agents
- Training AI agents to work collaboratively on complex problems
- Deploying AI agents on Google Cloud for scalability
- Building front-end interfaces for AI-driven applications
- Setting up monetization strategies using Stripe
6. AI Agent Design
- Level: Beginner
- Instructors: Jeremy Kirshbaum and Lev Gorelov
- Duration: 3 weeks
- Free/Paid: $900
- Certificate: Yes
- Visit Course: Link
This course covers the principles of designing AI agents from the ground up. It explores frameworks like ReAct loops, multi-agent systems, and graph-based systems while discussing their applications in various industries. Participants develop intelligent workflows, receive personalized coaching to refine their AI agent design strategies, and gain an understanding of how the AI ecosystem will evolve in the future.
Topics Covered:
- Fundamentals of AI agent design and architecture
- ReAct loops and multi-agent collaboration techniques
- Graph-based methods for AI decision-making
- Applications of AI agents in research, marketing, and automation
- Insights into the future of AI
7. Master AI Agents from Scratch - No Frameworks!
- Level: Beginner
- Instructor: Alexsandro Sousa
- Duration: 6 hours
- Free/Paid: $14.99
- Certificate: Yes
- Visit Course: Link
This course dives into AI agent development without relying on pre-built frameworks. Participants gain an in-depth understanding of retrieval mechanisms, allowing AI agents to pull in relevant information from designated sources so that it can give better responses. The course covers conversational UI techniques, using Redis for building semantic search capabilities that perform better than keyword matching, and how to integrate memory into AI models for better interactions.
Topics Covered:
- Building AI agents without using third-party frameworks
- Implementing short-term and long-term memory in AI models
- Creating conversational UI elements
- Using retrieval mechanisms to improve AI responses
- Hands-on projects building AI-driven applications
8. AI Agents: Develop Autonomous AI Agents with LangGraph
- Level: Intermediate
- Instructors: Paulo Dichone
- Duration: 3 hours
- Free/Paid: $14.99
- Certificate: Yes
- Visit Course: Link
This course explores how to use LangGraph to build structured, high-performance AI agents capable of automating real-world tasks. It covers AI agents as a whole, including core principles, key characteristics, and diverse use cases, before walking through creating an AI-driven financial report writer that can analyze data, summarize key insights, and generate reports with minimal human intervention. Participants also learn advanced techniques to optimize AI model efficiency.
Topics Covered:
- Introduction to LangGraph
- AI agents and their use cases
- Building an AI-powered financial report generator
- Optimizing AI models for performance and scalability
9. Agentic AI and AI Agents: A Primer for Leaders
- Level: Beginner
- Instructors: Dr. Jules White
- Duration: 5 hours
- Free/Paid: Included with Coursera Plus
- Certificate: No
- Visit Course: Link
This course is designed for business leaders and executives who need a solid understanding of AI agents, how they work, and how they can be applied in the real-world. It covers building basic agents using custom GPTs for simple tasks as well as how to evaluate AI products, opportunities for AI applications, and approaches to tasks using AI. The course focuses more on a holistic understanding of AI as it applies to the real world, rather than the nitty-gritty of how to code and optimize new agents.
Topics Covered:
- AI's impact in the real world
- Evaluating AI trends: Innovation vs. hype
- Building basic AI agents
10. Fundamentals of AI Agents Using RAG and LangChain
- Level: Intermediate
- Instructors: IBM Team
- Duration: 6 hours
- Free/Paid: Included with Coursera Plus
- Certificate: Yes
- Visit Course: Link
This course focuses on Retrieval-Augmented Generation (RAG) and LangChain, two techniques for building AI agents that provide more accurate, context-aware responses. Participants explore in-context learning, advanced prompt engineering, and real-world applications of AI agents that find and process live information. The course also discusses integrating AI models with PyTorch and Hugging Face, covering the more technical aspects of AI agent creation.
Topics Covered:
- Overview of Retrieval-Augmented Generation (RAG)
- Enhancing AI agent capabilities with LangChain
- Advanced prompt engineering techniques
- Using PyTorch and Hugging Face for AI automation
- Applying AI agents in research, marketing, and analytics
- Case studies on real-world AI agent applications
11. The Complete AI Agent - All Levels - Build An AI Assistant
- Level: Beginner
- Instructors: Clarian North
- Duration: 3 hours
- Free/Paid: $14.99
- Certificate: Yes
- Visit Course: Link
This hands-on course teaches how to build AI-powered assistants that automate daily jobs like email management, scheduling, and workflow automation. Using N8N, a no-code automation tool, participants learn to create AI agents that are capable of handling complex sequences of tasks autonomously. The course also covers optimization techniques to make these AI agents scalable and high-performance. It's designed for those who want to implement AI agents but have no prior coding experience.
Topics Covered:
- Understanding AI-powered task automation
- Using N8N to build AI agents
- Automating business processes like scheduling and email management
- Optimizing AI agents for scalability and efficiency
- Real-world applications of AI assistants
12. Learn AI Agents
- Level: Intermediate
- Instructors: Bob Ziroll
- Duration: 2 hours
- Free/Paid: Included with Coursera Plus
- Certificate: Yes
- Visit Course: Link
This course delves into the mechanics and technical parts of AI agent design, focusing on advanced prompting strategies like ReAct (Reasoning + Acting) and function calling. It also teaches how to develop AI agents that maintain context over long conversations, which are much more useful for longer and more complex jobs. The course provides a mix of theoretical knowledge and hands-on coding exercises but is a little heavier on the latter.
Topics Covered:
- ReAct prompting for AI agent reasoning
- Implementing loop mechanisms for interactive AI
- Function calling for more structured responses
- Context retention over longer chats
- Debugging and optimizing AI agents for real-world use
13. Introduction to AI Agents
- Level: Beginner
- Instructors: Elvis Saravia, Ph.D.
- Duration: 18 hours
- Free/Paid: Available with Pro ($39.99/month)
- Certificate: Yes
- Visit Course: Link
This course covers single AI agent workflows, multi-agent collaboration, and real-world applications of agent-based automation. Using Flowise AI, LangChain, and LlamaIndex, participants learn to build AI systems that can retrieve real-time information, process large datasets, and help with content generation. It also introduces hierarchical AI systems, where supervisor agents work with worker agents to complete particularly difficult projects.
Topics Covered:
- Building AI agents using Flowise AI and LangChain
- Multi-agent systems for complex problem-solving
- Implementing ReAct prompting for better reasoning
- Web scraping with AI agents for real-time data retrieval
- Hierarchical AI systems with supervisor/worker agents
14. HuggingFace AI Agents Course
- Level: Beginner
- Instructors: HuggingFace Team
- Duration: 3 hours
- Free/Paid: Free
- Certificate: Yes
- Visit Course: Link
This is a very beginner-friendly course that introduces AI agent development using HuggingFace's ecosystem. Participants learn to use smolagents, LangChain, and LlamaIndex to build AI agents that can retrieving and processing data dynamically and give responses based on that data. The course also includes hands-on challenges where learners test and refine their AI agents, competing against others based on their models' performance and accuracy.
Topics Covered:
- Using smolagents, LangChain, and LlamaIndex for AI agents
- Creating AI agents that retrieve and process live data
- Fine-tuning AI models for specific applications
- Participating in AI agent development challenges
- Deploying AI agents in real-world scenarios
15. AI Agents - Build with Chatgpt, Zapier, CrewAI, Swarm
- Level: Beginner
- Instructors: Arjun Janananda
- Duration: 3 hours
- Free/Paid: $13.99
- Certificate: Yes
- Visit Course: Link
This course covers creating simple AI-powered automations with ChatGPT, building interconnected CrewAI agents that can handle complex, multi-step operations, and integrating AI with Zapier for real-time task automation. It also discusses how to deploy custom GPTs for specialized functions. It focuses more on the practical side of things, breaking down complex processes with simple explanations, without going too much into the theoretical or big-picture view of AI.
Topics Covered:
- Building AI agents from scratch
- Using Zaper to integrate into external apps without code
- Building and deploying custom GPTs
- Creating an interconnected web of agents with CrewAI
Conclusion
Those are the 15 best AI Agents courses out there! They cover a wide range of skills, from building simple automations with no-code tools to developing advanced AI agents with LangChain, RAG, and multi-agent collaboration frameworks. So whether you're looking for a beginner-friendly introduction or a deep dive into technical AI agent design, there's a course to match your needs, and with both free and paid options, there's definitely a course to match your budget.
Happy learning!
Andres Caceres
Andres Caceres, a documentation writer at Learn Prompting, has a passion for AI, math, and education. Outside of work, he enjoys playing soccer and tennis, spending time with his three huskies, and tutoring. His enthusiasm for learning and sharing knowledge drives his dedication to making complex concepts more accessible through clear and concise documentation.