Agentic AI is quickly becoming one of the most in-demand tech skills. Unlike regular generative AI, which just responds to a prompt, agentic AI can plan, use tools, and complete multi-step tasks on its own. Companies are racing to build with it and hire for it, and the ten courses below will actually teach you how to build and use these systems, not just talk about them.
1. Advanced Certification in Agentic AI Systems and Design by Intellipaat
Rating: 4.5 (based on 24,500+ learner reviews on Mouthshut)
Pricing: Fee shared after a counselling call; contact Intellipaat for current pricing
Level: Intermediate (basic Python knowledge expected)
Ideal For: Python developers, data scientists, and AI/ML engineers who want to move past prompt engineering and build real autonomous agents
Why Take This Course?
The Intellipaat Agentic AI Course is one of the most hands-on programs on this list. Instead of just explaining what agentic AI is, it has you build 15+ real agent projects using CrewAI, AutoGen, LangGraph, and DSPy, the same tools companies are actually using right now. Live classes are taught by AI architects and IIT faculty, and the course runs for 5 months, wrapping up with a capstone project you can show off in interviews.
It also comes with a Microsoft-backed certification, career mentoring, mock interviews, and access to a network of 3,100+ hiring partners, so you’re not left on your own once the course ends.
Also recommended: Intellipaat’s Generative AI course, if you want to cover the basics of LLMs before jumping straight into agents.
Course Overview
- Modern Python (3.11+) for agentic systems
- Agent architecture, memory, tools, and RAG
- Multi-agent collaboration with CrewAI, AutoGen, and LangGraph
- Capstone project: build a production-grade agentic system
2. Agentic AI by DeepLearning.AI
Rating: Not independently verified; widely recommended across the AI learning community.
Pricing: Free
Level: Intermediate (some Python and LLM familiarity helps)
Ideal For: Developers who already understand generative AI basics and want to learn agent design patterns
Why Take This Course?
Andrew Ng’s team has released a series of short, focused courses on building AI agents, covering everything from basic agentic patterns to multi-agent orchestration with frameworks like LangGraph and CrewAI. Each course is short, usually just a couple of hours, so you can learn one specific skill at a time instead of sitting through a long program.
It’s a good next step once you already understand how LLMs work and want to start giving them the ability to plan, use tools, and act on their own.
Also recommended: DeepLearning.AI’s “Generative AI for Everyone,” if you want a non-technical primer before diving into agent-building.
Course Overview
- Core agentic design patterns: reflection, planning, tool use, multi-agent collaboration
- Building agents with LangGraph and CrewAI
- Connecting agents to external tools and APIs
- Short, hands-on projects for each concept
3. AI Agents Course by Hugging Face
Rating: Not independently verified; free, open-source, and widely used by developers
Pricing: Free
Level: Beginner to Intermediate
Ideal For: Developers who want to build with open-source tools instead of relying on closed APIs
Why Take This Course?
This is one of the most hands-on free courses available for learning agentic AI. You’ll build real agents using open-source frameworks like smolagents and deploy them to Hugging Face Spaces so you have something working at the end, not just notes.
It’s community-built and constantly updated, so it tends to stay current with new tools and techniques faster than most paid courses.
Also recommended: Hugging Face’s LLM Course if you want to understand transformers and fine-tuning before moving into agents.
Course Overview
- Fundamentals of AI agents and how they differ from simple LLM calls
- Building agents with smolagents and deploying to Hugging Face Spaces
- Multi-agent orchestration with CrewAI
- Cyclic reasoning and stateful workflows with LangGraph
4. AI Agents for Beginners by Microsoft
Rating: Not independently verified; free, open-source GitHub course
Pricing: Free
Level: Beginner
Ideal For: Developers completely new to building AI agents who want a structured, code-along introduction
Why Take This Course?
This is Microsoft’s own free, 18-lesson course, built to take you from zero to building working agents using the Microsoft Agent Framework. Every lesson pairs a short written explanation with a code sample, so you’re writing and running real code from early on, not just watching videos.
It’s a strong starting point if you want a free, no-pressure way to test whether agent development is something you actually want to go deeper into.
Also recommended: Microsoft’s “Generative AI for Beginners” if you want to start even earlier, with core LLM concepts before agents.
Course Overview
- What AI agents are and how they differ from chatbots
- Agentic RAG and tool use
- Building agents with the Microsoft Agent Framework
- Multi-agent design patterns
5. RAG and Agentic AI Professional Certificate by IBM
Rating: Not independently verified; well received based on Coursera review counts (600+ reviews)
Pricing: Included with Coursera Plus (around $59/month or $399/year)
Level: Advanced (some GenAI or Python background recommended)
Ideal For: Career-changers and engineers who want a recognised, structured credential in agentic AI
Why Take This Course?
This is one of the more structured, credentialed options on this list. Spread across a multi-course series, it takes you from LangChain basics through function calling, RAG, and vector stores, all the way to building autonomous agents with LangGraph, CrewAI, and AG2.
It’s built for people who already know some GenAI fundamentals and want to specialise specifically in agentic systems, with a shareable certificate that carries IBM’s name.
Also recommended: IBM’s “Generative AI Engineering Professional Certificate” if you want to start from the fundamentals before this one.
Course Overview
- LangChain fundamentals and prompt engineering
- Function calling, RAG, and vector stores
- Building autonomous agents with LangGraph, CrewAI, and AG2
- MCP (Model Context Protocol) workflows for multi-agent applications
6. Agent Development Kit Learning Path by Google Cloud
Rating: Not independently verified; free on Google Cloud Skills Boost
Pricing: Free (some hands-on labs may require Google Cloud credits)
Level: Intermediate
Ideal For: Developers who already work with, or plan to work with, the Google Cloud and Gemini ecosystem
Why Take This Course?
Google refreshed this learning path in 2025-2026 specifically to cover Gemini 2 and the Agent Development Kit (ADK), Google’s own framework for building and deploying agents. It’s the most directly useful option if your target job involves Vertex AI or the wider Google Cloud stack.
The tradeoff is that a lot of what you learn is tied to Google’s ecosystem, so it’s less transferable if you end up working somewhere that uses a different cloud provider.
Also recommended: Google’s “Generative AI Learning Path” if you want the broader GenAI foundation before specialising in agents.
Course Overview
- Building agents with the Agent Development Kit (ADK)
- Working with Gemini 2 for agentic workflows
- Deploying agents on Vertex AI
- Google-branded completion badges for each module
7. Building RAG Agents with LLMs by NVIDIA Deep Learning Institute
Rating: Not independently verified; free, self-paced NVIDIA course
Pricing: Free
Level: Intermediate (some Python and machine learning background helps)
Ideal For: Developers who want to understand agentic AI at the infrastructure level, not just the application layer
Why Take This Course?
This course runs on NVIDIA’s own GPU-accelerated cloud labs, so you get real hands-on practice building and benchmarking RAG agents, not just theory. It covers frameworks like LangChain, LlamaIndex, and NeMo Guardrails and goes into GPU-accelerated retrieval and containerized deployment.
It’s a good fit if you’re curious about the hardware and infrastructure side of how agentic systems actually run at scale, not just how to call an API.
Also recommended: NVIDIA’s “Generative AI Explained,” a no-code primer if you want the basics before this one.
Course Overview
- Building and benchmarking RAG agents
- GPU-accelerated retrieval and vector search
- Working with LangChain, LlamaIndex, and NeMo Guardrails
- Containerized deployment with Kubernetes
8. Agentic AI and AI Agents for Leaders Specialization by Vanderbilt University
Rating: 4.8 (based on 1,000+ ratings on Coursera)
Pricing: Free to audit; included with Coursera Plus at about $59/month or $399/year for the certificate
Level: Beginner, no coding required
Ideal For: Managers, product leads, and non-technical professionals who need to understand and lead AI agent adoption, not build agents themselves
Why Take This Course?
Taught by Dr. Jules White, this is the strongest option on this list if you’re not a developer but still need to make real decisions about agentic AI at work. It’s a 3-course specialization that takes about 4 weeks at 3 hours a week, and it focuses on evaluating AI solutions, spotting overhyped approaches, and designing safe automation with chatbots.
It’s consistently one of the highest-rated agentic AI courses on Coursera, and it doesn’t assume any programming background.
Also recommended: Vanderbilt’s “AI Agents and Agentic AI in Python,” if you decide you want the hands-on, developer-focused version after this one.
Course Overview
- Fundamentals of agentic AI and how AI agents actually work
- Evaluating AI solutions and separating hype from real impact
- Building basic agents with custom GPTs
- Safe, strategic automation for organizations
9. Introduction to LangGraph by LangChain Academy
Rating: Not independently verified; free, official course from the LangChain team
Pricing: Free
Level: Intermediate (some Python and LLM experience helpful)
Ideal For: Developers who want to learn agent orchestration straight from the team that built LangChain
Why Take This Course?
Since LangChain’s own team built this course, it stays closely tied to how LangGraph actually works under the hood. It’s a growing set of modules, starting with basic setup and moving through state, memory, and human-in-the-loop patterns, all the way to deploying your agents.
Each module comes with real notebooks you can run yourself, plus a linked video lesson, so you’re never just reading theory without a way to test it.
Also recommended: LangChain’s own documentation and cookbook, for real production examples once you finish the course.
Course Overview
- Building agents as graphs, with nodes, edges, and state
- Memory and human-in-the-loop patterns
- Progressively advanced themes across multiple modules
- Deploying your agents once they’re built
10. AI Agents Course by Scrimba
Rating: Not independently verified; well regarded for its interactive, code-along format
Pricing: Free introductory content; Pro plan required for full course access
Level: Beginner to Intermediate
Ideal For: JavaScript and web developers who want to code alongside the instructor instead of just watching videos
Why Take This Course?
Scrimba’s interactive “scrim” format lets you edit and run code directly inside the video, so you’re never just watching someone else type. It’s one of the few agentic AI courses built specifically for JavaScript developers, which is a gap most other options on this list don’t cover.
It’s a strong pick if you’ve found video-only courses hard to stay engaged with, since the format forces you to actually interact with the code as you go.
Also recommended: Scrimba’s broader AI Engineer path, if you want to build a full portfolio of AI projects beyond just agents.
Course Overview
- Building agents with JavaScript, in an interactive coding environment
- Tool use and API integration for web-based agents
- Real projects you build and edit live in the browser
- Bite-sized lessons designed to keep you actively coding
Conclusion
A course alone won’t make you an AI agent engineer. What actually matters is whether you can build a working agent, connect it to real tools, and explain how it makes decisions. Every course on this list gets you there, some with a lot more hand-holding and career support than others.
If you want a program that combines deep, hands-on agent-building with real placement support, Intellipaat’s Agentic AI Systems and Design course is worth a serious look. It pairs a Microsoft-backed certification with 15+ real projects and access to a network of 3,100+ hiring partners, so you’re building your skills and your career at the same time.
