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.

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.

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.

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.

This course got extremely complicated very quickly, way beyond my basic capabilities.

The AI Agents and Agentic AI with Python & Generative AI course provided insight into several compelling and advanced concepts. While I already have experience building AI agents, many of the architectural approaches presented expanded my perspective on how powerful and flexible agent-based systems can be. I fully intend to implement many, if not all, of the techniques introduced in this course in my future AI agent projects, as they offer clear improvements in architectural design specific to effective prompt management, multi-agent coordination, dynamic persona injection, memory management and sharing, and overall communication management with LLMs.

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.

The presenter is very engaging and uses easy-to-relate real world examples and analogies that click for me. I don't really know Python beyond being able to setup an environment on my Windows machine to run python programs, but I have extensive software development experience and familiarity with other languages, so everything has clicked for me with this course. The content is really engaging and I found myself taking the samples further and doing a lot of additional work just to see how it could all work together with AI. I'm definitely recommending this course and in particular this professor to anyone. Well done! Minor complaint/suggestion: The code examples are good and the google colabs is very helpful, but for people running the samples locally it would really be nice to write out the examples in code blocks that can be easily copied, as well as providing the colabs functionality. Or even if you just provide the ability to download the code sample in a zip file or something relevant. Sometimes I'm on a network that blocks colabs and I have to jump through hoops to get the code. Most times I like working in my own IDE vs colabs. Thx!

The course starts off very complex and then covers the theory. It's an advantage if you understand Python and can read code. I recreated all the examples in VS Code myself, parallel to the Google Colab code. That helps enormously with understanding. If you want to get into the details, you'll need a lot more time. But it's definitely worth it. Jules is very good; I've already completed several of his courses.

Dr. Jules White is an excellent speaker and demonstrates an understanding of simple, easy and effectively communicating, the often abstract subject material, with ease to novice Generative AI course students. His course examples were very effective in elucidating the what I needed to know and how to do the graded assignments confidently and successfully. Well done Jules!!!

This course provides great hands-on experience and several codes that helps us learn the various aspects of Agentic AI. It has also taught me to think about the various applications where we can use Agentic AI. Overall a good course for someone with some Python skills to get a solid understanding of the Agentic Framework.

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.