Top 10 Udemy Courses to Learn AI and LLM Engineering in 2026

My favorite Udemy courses to learn AI and LLM Engineering in 2026

Top 10 Udemy Courses to Learn AI and LLM Engineering
credit — LLM Engineering Handbook and Decoding ML

Hello guys, if you have been reading and following progress of AI then you may know that AI engineering has moved far beyond prompt writing.

In 2026, companies expect engineers to build production-ready AI systems that combine large language models with RAG pipelines, vector databases, agent frameworks, fine-tuning, and scalable backends.

If you want to become an AI or LLM engineer, Udemy has several strong, hands-on courses that cover the full stack — from fundamentals to advanced agentic architectures.

Here are the Top 10 Udemy courses to learn AI and LLM Engineering in 2026.

10 Best Udemy Courses to learn AI and LLM Engineering in 2026

Without any further ado, here are the top Udemy courses you can join in 2026 to learn both AI and LLM engineering and crucial skills like RAG, Agentic AI from scratch.

1. AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents

This is one of the most well-rounded paths for becoming an LLM engineer.

What you’ll learn:

  • Generative AI and LLM fundamentals
  • Retrieval-Augmented Generation (RAG)
  • LoRA and QLoRA fine-tuning
  • AI agents and orchestration
  • Building and deploying real LLM applications

Best for: Developers who want a clear roadmap to become professional LLM engineers.

Here is the link to join this course — AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents

AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents

2. AI & LLM Engineering Mastery: GenAI, RAG Complete Guide

A comprehensive course that goes from basics to advanced AI engineering concepts.

What you’ll learn:

  • Core LLM concepts
  • RAG architectures
  • Vector databases
  • AI agents
  • Fine-tuning techniques
  • End-to-end AI projects

Best for: Engineers who want depth and breadth in a single course.

Here is the link to join this course — AI & LLM Engineering Mastery: GenAI, RAG Complete Guide

3. The AI Engineer Course 2026: Complete AI Engineer Bootcamp

A full bootcamp-style course covering the foundations of modern AI engineering.

What you’ll learn:

  • Python for AI
  • NLP and transformers
  • LLMs and APIs
  • LangChain and Hugging Face
  • Model deployment and integration

Best for: Developers transitioning into AI engineering roles from backend or data backgrounds.

Here is the link to join this Udemy course — — The AI Engineer Course 2026: Complete AI Engineer Bootcamp

4. LLM Engineering, RAG, & AI Agents Masterclass (Udemy)

A practical, tooling-focused course for building modern AI systems.

What you’ll learn:

  • Hugging Face workflows
  • LangGraph and CrewAI
  • AutoGen and OpenAI Agents SDK
  • RAG pipelines
  • MCP and workflow automation
  • Community access and expert guidance

Best for: Engineers who want hands-on experience with multiple agent frameworks.

Here is the link to join this course — LLM Engineering, RAG, & AI Agents Masterclass

5. Agentic AI Bootcamp: AI Agents with Python, n8n, MCP & RAG

This course focuses on agentic AI and full-stack AI systems.

What you’ll learn:

  • OpenAI SDK and agent design
  • CrewAI, LangChain, and AutoGen
  • MCP and structured AI workflows
  • RAG systems
  • Frontend integration with React
  • Local and automated AI agents

Best for: Engineers building multi-agent, production-ready AI systems.

Here is the link to join this course — Agentic AI Bootcamp: AI Agents with Python, n8n, MCP & RAG

6. Ultimate RAG Bootcamp Using LangChain, LangGraph & LangSmith (Udemy)

If RAG is your priority, this is one of the most detailed courses available.

What you’ll learn:

  • Traditional and advanced RAG
  • Multimodal RAG
  • Agentic RAG
  • LangChain, LangGraph, and LangSmith
  • Observability and evaluation

Best for: AI engineers working on knowledge-intensive applications.

Here is the link to join this course — Ultimate RAG Bootcamp Using LangChain, LangGraph & LangSmith

7. Generative AI Architectures with LLMs, Prompting, RAG & Vector DBs

This course focuses on system-level AI design.

What you’ll learn:

  • Enterprise AI architectures
  • Prompt engineering strategies
  • RAG system design
  • Fine-tuning vs retrieval trade-offs
  • Vector database integration

Best for: Senior engineers and architects designing scalable AI platforms.

Here is the link to join this course — Generative AI Architectures with LLMs, Prompting, RAG & Vector DBs

8. LangChain: Develop AI Agents with LangChain & LangGraph

This Udemy course is a focused course on LangChain and LangGraph.

What you’ll learn:

  • Building AI agents with Python
  • LangChain core abstractions
  • LangGraph for multi-step workflows
  • Real-world agent projects

Best for: Developers who want to master LangChain and LangGraph quickly.

Here is the link to join this Udemy course — LangChain: Develop AI Agents with LangChain & LangGraph

9. AI Engineer Agentic Track: The Complete Agent & MCP Course

A structured path dedicated to agent systems and MCP.

What you’ll learn:

  • OpenAI Agents SDK
  • CrewAI and AutoGen
  • LangGraph workflows
  • MCP for tool orchestration
  • Building real-world agent projects

Best for: Engineers specializing in agent-based AI systems.

Here is the link to join this course — AI Engineer Agentic Track: The Complete Agent & MCP Course

10. LangGraph: Develop LLM-Powered AI Agents with LangGraph

A short, focused course designed to get you productive fast.

What you’ll learn:

  • LangGraph fundamentals
  • Building fast, reliable AI agents
  • Python-based agent workflows
  • Real-world examples

Best for: Developers who want a quick, practical introduction to LangGraph.

Here is the link to join this course — — LangGraph — — Develop LLM Powered AI Agents with LangGraph

Final Thoughts

That’s all about the best udemy courses to learn AI and LLM Engineering in 2026. These are hands-on, up-to-date and project-based courses to learn key AI skills like LLM, RAG, Agentic AI etc.

In 2026, AI engineering is about building systems, not just using models. That means understanding:

  • LLM internals
  • RAG pipelines
  • Vector databases
  • Agent orchestration
  • Tooling like LangChain, LangGraph, MCP, and AutoGen

The courses listed above cover these skills from different angles — bootcamps, deep dives, and specialized tracks.

If you want to future-proof your career as an AI or LLM engineer, completing even two or three of these courses will put you well ahead of the curve.

By the way, if you want to join multiple courses on Udemy then you can also checkout Udemy’s Personal Plan, where you get access to best of Udemy’s 15000+ courses for a monthly fee of $30.

If you want to join multiple courses then Udemy Personal Plan is actually a better deal. You can also try for free for 7 days to get a feel of it.

Happy Learning!

Thanks for reading this article so far. If you find these online courses for learning AI and LLM engineering in 2026 then please share with your friends and colleagues. If you have any questions or feedback, then please drop a note.

P. S. — If you are a complete beginner on Agentic AI then I also recommend you to first go through a comprehensive course like The Complete Agentic AI Engineering Course, I highly recommend that to anyone who want to start with Agentic AI. If you need books, you can also see the below article.

Top 5 Books to Learn Agentic AI and Agents in 2025

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