To help learners understand all about the AI agents, our team curated a list of Best + Free AI Agent Courses & Classes.
Key Takeaways
- Learn how to construct Prompts for multiple purposes.
- Understand the fundamentals of AI Agents.
- Certificates are available to validate your skills.
| # | Course Name | University/Organization | Duration |
| 1. | Learn AI Agents | Coursera | 02 Hours |
| 2. | Intro to AI Agents: Build an Army of Digital Workers with AI | Udemy | 05 Hours |
| 3. | Building AI with Bedrock Agent | edX | 24 Hours |
| 4. | Multi AI Agent Systems with crewAI | Coursera | 01 Hour |
| 5. | AI-Agents: Automation & Business with LangChain & LLM Apps | Udemy | 10 Hours |
| 6. | AI Agents in LangGraph | Coursera | 01 Hour |
| 7. | LangGraph- Develop LLM powered agents with LangGraph | Udemy | 06 Hour |
In order to help our readers in taking a knowledgeable learning decision, TakeThisCourse.net has introduced a metric to measure the effectiveness of an online course. Learn more about how we measure an online course effectiveness.
While selecting the courses for this list, several factors were considered including course content comprehensiveness, industry expertise in the field and positive learner feedback.
Best + Free AI Agent Courses & Classes….
Learn AI Agents
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- via Coursera
- 02 Hour of effort required!
- Course Level: Introductory to Intermediate
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| Online Course Effectiveness Score | |||
| Content | Engagement | Practice | Career Benefit |
| Excellent ★★★★★ |
Excellent ★★★★★ |
Good ★★★★☆ |
Good ★★★★☆ |
In this course, you will be taught how to construct ReAct prompts which allow AI agents to engage in dynamic and context-aware dialogues with users.
- The reason why we chose this course is its focus on explaining how to implement loop mechanisms that can ensure continuous processing and responsiveness of AI agents to ongoing interactions.
- This course is for those who wish to learn to develop and integrate action functions that dictate AI agent behaviors in a variety of interaction scenarios.
I am so glad to have found this course as it helped me learn so much about OpenAI’s function calling feature. This is a must course for those interested in learning how to construct ReAct prompts. (Yukihiro F)
Intro to AI Agents: Build an Army of Digital Workers with AI
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- via Udemy
- 05 Hours of effort required!
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| Online Course Effectiveness Score | |||
| Content | Engagement | Practice | Career Benefit |
| Excellent ★★★★★ |
Good ★★★★☆ |
Fair ★★★☆☆ |
Fair ★★★☆☆ |
Do you want to master CrewAI along with AutoGen, Devin AI, Open Interpreter, AutoGPT, and more? If yes then this course is for you.
- The best thing about this course is its focus on explaining the types and functions of AI agents. You will learn to design and development AI agents.
- This course is for those who wish to understand the applications and ethical considerations of AI agents.
I found this course to be extremely amazing and it helped me understand what AI agents are. The instructor explained in detail how we can build AI agents using frameworks. I also learned to build no-code agents using Perplexity.ai. I can say this course will give you a lot of new knowledge. (Manish M)
Building AI with Bedrock Agent
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- via edX
- 24 Hours of effort required
- Course Type: Introductory
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In this highly informative course, you will understand the LLM fundamentals and AWS Bedrock implementation. The instructor will talk about infrastructure as Code with AWS CDK.
- The best thing about this course is its focus on explaining the data engineering and pipeline optimization techniques. You will understand the user interface design for AI applications as well.
- This course is for those who wish to know all about the operational dashboard creation and IT considerations and understand the MLOps best practices for enterprise AI solutions.
Continue with more Free AI Agent Courses & Training Classes…
Multi AI Agent Systems with crewAI
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- via Coursera
- 01 Hour of effort required.
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| Online Course Effectiveness Score | |||
| Content | Engagement | Practice | Career Benefit |
| Excellent ★★★★★ |
Excellent ★★★★★ |
Good ★★★★☆ |
Good ★★★★☆ |
In this course, you will understand how to exceed the performance of prompting a single LLM by designing and prompting a team of AI agents through natural language.
- The reason why we chose this course is its focus on explaining how to use an open-source library to automate repeatable, multi-step tasks and automate business processes that are usually done by a group of people.
- This course is for those who wish to understand a specific role for each agent, how to break down multi-step tasks and then assign them to agents that are customized to perform tasks.
This is a well-structured and easy-to-understand course that helped me understand the top of the notch LLM capabilities including ChatGPT and how they can be utilized in the best possible manner. (Srinivas V)
AI-Agents: Automation & Business with LangChain & LLM Apps
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- via Udemy
- 10 Hours of effort required
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| Online Course Effectiveness Score | |||
| Content | Engagement | Practice | Career Benefit |
| Excellent ★★★★★ |
Excellent ★★★★★ |
Fair ★★★☆☆ |
Fair ★★★☆☆ |
Are you interested in learning the basics of AI agents like Autogen, LangChain, LangFlow, LangGraph, CrewAI, and more? If yes then this course is for you. Here you will understand the basics of LLM including Llama, Claude, Mistral, GPT-4o and more.
- The best thing about this course is its focus on explaining all about vector databases along with embedding models and retrieval-augmented generation (RAG).
- This course is for those who wish to understand how to create AI agents for automating content, emails, lead research, installation, and operation of Flowise with Node.
A very well-structured and engaging course that gives access to the practical insights. This course helped me understand how to apply what I learned in the real-world scenarios effectively. The instructor is quite passionate and taught with great joy which made my learning experience a good one. (Raju R)
AI Agents in LangGraph
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- via Coursera
- 01 Hour of effort required
- Course Level: Introductory to Intermediate
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| Online Course Effectiveness Score | |||
| Content | Engagement | Practice | Career Benefit |
| Excellent ★★★★★ |
Excellent ★★★★★ |
Good ★★★★☆ |
Good ★★★★☆ |
In this course, you will learn the LangGraph’s components in detail and understand how they allow the development, debugging, and maintenance of AI agents.
- The best thing about this course is its focus on explaining how to integrate agentic search capabilities and enhance agent knowledge and performance.
- This course is for those who wish to learn all about LangChain and that too from LangChain founders.
LangGraph- Develop LLM powered agents with LangGraph
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- via Udemy
- 06 Hours of effort required
- Course Level: Intermediate
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| Online Course Effectiveness Score | |||
| Content | Engagement | Practice | Career Benefit |
| Excellent ★★★★★ |
Good ★★★★☆ |
Good ★★★★☆ |
Fair ★★★☆☆ |
Want to become proficient in LangGraph? Take this course today and learn how. Here you will learn to implement advanced agents.
- The reason why we chose this course is its focus on explaining how to have end-to-end working LangGraph based generative AI agents.
- This course is for those who wish to understand how to navigate inside the LangGraph opensource codebase.
The lessons in this course are quite intuitive and practical. What I loved the most about this course is the instructor always giving references for when anyone wants to dive deeper into the topic. I even had some questions that were answered by the instructor timely. (Rafael D)