Prof White has a very engaging style of delivery, using analogies to provide the students with some intuitions of the topics before revealing and explaining the code. The only suggestion I have for improvement in the course is perhaps more coding exercises.

Buggy and the provided material didn't work. Also, the entire course feels a little dated compared to what I'm using in the workplace already Also the assessed questions are lacking any meaningful demonstration of comprehension.

Very informative. Lots of code examples. Thorough videos, showcasing and explaining the topics precisely, accurately and in detail. _No AI dubbing_. Fantastic course, genuinely.

This Course helped me a lot to understand how LLM works and main concept of prompt.

Clear, simple, extremely useful, and powerful content for AI enthusiastics.

Too verbose. Not many practice sessions. There should be examples for Gemini AI because it is free. OpenAI is not free

The videos were very clear and informative. However, this assumes no prior Python knowledge and even with some knowledge there were a lot of parts in the code section that were rushed with no explanation on some fundamental concepts for python beginners. This felt like two courses, one for the 'Prompt engineering' and a separate, rushed one for the Python part. Also, when I started the course, the example code was broken due to OpenAI's token policy change.

there's room for improvement. The sequence of how the code is explained is messy, in example, Idk why the AgentLanguage was not explained at first but at the final implementation, that makes you go back and forth through the lectures. Spoiler alert! You need mid level python coding knowladge at least (mandatory), if you do not have it, do not waste your time on it, and first enrolled to a crash course to understand perfectly OOP.

I have no recent programming experience. I got so lost so quickly. This was such a frustrating experience. This is not a beginner's course.

A great introduction to creating applications that interact with Agents. Good code examples that are easy to get up and running. Includes extensive walk-throughs to help you understand best practices and how to make things work.

This course is outstanding. It goes in depth and covers all the aspects of building Agentic AI. Every example provided is very useful and i clearly adapt most of these patterns for our real time usecases.

This course is about how to build AI agent with the basic loop structure and it also has detailed code to explain what is the best code structure to make it reuseable and less error prune

One of the best practical courses I have completed. The course seems to have a humorous take on graded exercises, while the real value lies in the ungraded exercises.

This was a great course and Dr. White is so very well-versed in the subject. His thinking "outside the box" in problem-solving is quite remarkable.

This is a great course to understand how AI agents work and how to build them efficiently. Very engaging and practical course.

It's very informative. It gets straight to the point with useful code and detailed explanations of how the code works!

Detail explanation from Basic AI features to advanced deep understanding very useful upgrading skill course.

What I liked most about this course is the comparison between the old ways of doing things and the new ways.

Excellent overview. I especially like building the Agent Framework with each lesson getting more complex.

Nicely explained of using Agents, Loops, GenAI use cases. Professor is energetic in teaching concepts.

A great way to explain and show some good frameworks to building (and testing) AI agents.

Definitely above the average of AI-oriented courses - practical, and thought-provoking!

The course was very engaging, and gave me tools to learn and experiment. I loved it.

Very good pace repetition and breakdown of each component of the AI agent.

already building with game ai agents but this course is very informative.