LLM Engineering, RAG, & AI Agents Masterclass [2026] (Udemy.com)

The course is very interesting as the practical examples can inspire ideas about practical solutions in other directions.

First parts are very well for beginners. But for experienced developers its look like ask about AI and i get the same responses from this video for 2 minutes. I think after a few parts its will be hardly and interest

Great training! Big plus for packing a lot of knowledge into a short time, with tons of practical examples and comparisons you normally would not test in day to day work with LLMs. On the downside, there were quite a few repetitions, and some simple concepts were explained in a bit too much detail, like the linear function formula in the linear regression section. Still, it is genuinely enjoyable to listen to someone who likes teaching and brings a lot of positive energy.

This "LLM Engineering, RAG, & AI Agents Masterclass [2026]" course on Udemy is highly praised for its comprehensive approach to AI engineering, particularly focusing on Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and AI Agents. Reviewers consistently highlight the instructor's deep expertise and effective teaching style, making complex topics accessible and insightful. The course is considered a valuable resource for those looking to advance their careers in AI, especially given the significant increase in demand for AI Engineer roles . It's recommended for individuals seeking a guided, job-ready learning path that covers core LLM concepts, tool calling, RAG, and agentic workflows. Overall, it's a strong contender for those interested in becoming proficient in cutting-edge AI engineering practices.

I am an experienced software engineer now learning AI. The course matches very well my expectations. Every step provides consistently valuable information. Many thanks, I like it!

Instead of the whole Python code spoon fed to me, I would have appreciated if the course instructor would write the code line by line and I would simultaneously write it on my system.

Great balance between learning the fundamentals of LLM and hands-on examples. The explanations were really clear and understandable and I feel like I have a good grasp of LLM foundations to move on to more advanced topics. The example notebooks have a lot of detail and there are many practice opportunities for you to try.

I have took multiple LLM Engineering courses on udemy and this is definitely the most organized one. I like the way Dr Ryan categorized courses to various area of LLM and provide good examples and projects. The other courses i had either mixed them all together or jumping around. One minor suggestion. Some of API/model used in the course are either desecrated or removed from huggingface. Maybe a supplemental video will help.

The course content is excellent, the explanation is simple and straight to the point. The projects are easy to follow and very interesting. I learn so many tools that are related to LLM and AI Agents: Gradio, Hugging Face model leader boards, datasets, I also learn techniques about prompting, RAG, pydantic, fine tuning.

This is one of the most comprehensive and fantastic courses I have ever taken. For someone beginning their AI Journey could not have wished for a better course. Dr. Ryan has designed the modules very thoughtfully and gradually explaining the concepts with practical use cases and projects. I highly recommend this course to everyone.