Best Udemy AI Courses for 2025: LLMs & AI Agents for AI Engineers

If you’ve searched for quality Udemy AI courses, you know there are hundreds of options.

In this post, I want to share with you what I think are three solid Udemy AI courses, from reputable instructors, that can help you learn about AI engineering, large language models (LLMs), and building AI agents that can automate real workflows.

They are:

1. LLM Engineering: Master AI and Large Language Models & Agents by Ed Donner
2. The Complete Agentic AI Engineering Course (2025) by Ed Donner
3. AI Agents & Workflows – The Practical Guide by the always reliable Maximilian Schwarzmüller.

💡 Before you enroll, make sure to check my regularly updated Udemy coupon codes page so you always get the lowest price.

Course #1 — LLM Engineering: Master AI and Large Language Models & Agents

This course is designed to take you deep into the world of LLM engineering. You’ll go beyond surface-level AI usage and learn how to build, fine-tune, and deploy LLM-powered applications.

There are 8 real-world projects (including a comprehensive capstone) that you will build over the course of 8 weeks from brochure generator to a multi-agent system alerting you of deals and special bargains.

What you’ll learn in LLM Engineering: Master AI and Large Language Models & Agents:

• Build advanced generative AI products with modern frameworks.
• Work with 20+ cutting-edge models, both frontier and open-source.
• Gain hands-on skills in LangChain, Hugging Face, and Gradio.
• Apply advanced techniques like RAG, QLoRA fine-tuning, and agents.
• Create real-world apps: multi-modal assistants, AI knowledge workers, AI programmers, and e-commerce predictors.
• Fine-tune and deploy LLMs into production with polished interfaces.

Best for: Developers who want a comprehensive foundation in AI engineering, not just hobby examples.

One thing I always check before buying any Udemy course is the reviews. This course has a 4.7 star rating with over 18,000 reviews!

From “masterpiece” to “life changing” to “solid 8 weeks,” students of this course really seem to have gotten a lot of value from it.

Course #2 — The Complete Agentic AI Engineering Course

Created by the same instructor as LLM Engineering, this course is a 6-week intensive program that focuses entirely on agentic AI engineering. It’s designed for developers who want to move beyond theory and start building production-ready AI agents.

You’ll build 8 real-world projects (including 1 capstone) over 6 weeks ranging from a personal digital twin to a CrewAI-powered stock picker agent, and even a multi-agent trading floor that makes autonomous trades.

What you’ll learn in AI Agents & Workflows – The Practical Guide:

• Build robust AI agent systems step by step.
• Apply agentic design patterns in real-world applications.
• Use advanced tools for orchestration, workflows, and automation.
• Gain project-based experience to showcase on your portfolio.

Best for: Developers who already understand LLM basics and want to specialize in AI agent systems.

I love the hands-on, project-based format that this instructor uses for both of these courses and the fact that you’ll walk away with a handful of really solid AI agent projects in your portfolio.

Course #3 — AI Agents & Workflows: The Practical Guide

If the Complete Agentic AI Engineering Course that we just mentioned feels too advanced to start with, AI Agents & Workflows – The Practical Guide is a great entry point and alternative. It provides strong conceptual foundations for agents and workflows, while still guiding you through hands-on projects.

What you’ll learn in AI Agents & Workflows – The Practical Guide:

• Understand the core concepts of AI workflows and AI agents.
• Build agents and workflows from scratch with real-world examples.
• Use OpenAI’s models via API/SDK for automation and data transformation.
• Connect agents with third-party tools like Slack.
• Implement memory management, multi-agent systems, and human-in-the-loop steps.
• Apply techniques across languages and platforms with practical, hands-on projects.

Best for: Beginners and intermediate learners who want to understand the concepts first, with practical examples before diving into more advanced agentic engineering.

I have taken a good number of courses from Maximilian Schwarzmüller in the past and he is a very thorough instructor who always puts out quality material.

Final Thoughts

The future of AI engineering belongs to developers who have a practical, working knowledge of LLM-powered applications and intelligent agents. Quality Udemy courses are an affordable way to get up to speed and level up your knowledge and I think these three are some of the best out there.

Start with AI Agents & Workflows if you’re brand new to agents and want to grasp the core ideas first.

Take LLM Engineering if your goal is to become an AI engineer who understands both LLMs and agents.

And then move on to The Complete Agentic AI Engineering Course if you’re ready for a structured, project-heavy path into agentic AI engineering.