Learner Reviews & Feedback for AI Agents and Agentic AI with Python & Generative AI by Vanderbilt University
About the Course
Top reviews
LW
Aug 15, 2025
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
JF
Jul 29, 2025
Very informative. Lots of code examples. Thorough videos, showcasing and explaining the topics precisely, accurately and in detail. _No AI dubbing_. Fantastic course, genuinely.
51 - 70 of 70 Reviews for AI Agents and Agentic AI with Python & Generative AI
By Akshay R
鈥Jul 30, 2025
good
By Javier D J T
鈥Apr 2, 2025
Good
By 袗褔懈谢芯胁 校 袣
鈥Oct 20, 2025
写邪
By Avinash C
鈥Aug 26, 2025
Ok
By Damira A
鈥Apr 1, 2025
邪
By Justin F
鈥Aug 2, 2025
You will need intermediate level Python coding experience (OOP in particular) to understand the topics, so it's not at the beginner level. Also the documents could be in a better order or written with more clarity. Other than that, the course shows you the ease with which AI agents can be created by mixing a LLM with a python coding framework that you can build from scratch. Quite amazing!
By Peter J K
鈥Sep 6, 2025
I really enjoyed this course by Prof. Jules White. It goes "behind the curtain" of how agentic AI is built through the "system", "user", and "assistant" prompt loop. One thing that would make the course 5 stars is if there were more graded assignments, including peer-graded homework.
By Kaihaan J
鈥Jun 9, 2025
Good examples - although they make you work a bit to really get them working.
By Paritosh K
鈥Aug 24, 2025
its good for those students which are beginners in ai
By Jari v d M
鈥May 8, 2025
awesome!
By Sekar A
鈥Aug 17, 2025
good
By Nikolai G
鈥Aug 4, 2025
The course presents useful concepts, but I encountered two inconveniences: 1. Although the course is marked as suitable for beginners familiar with Python, in module 3 there is a large AI agent project composed of an unstructured list of classes. It took time to analyze and draw a UML diagram to understand all the relationships in this core module of the AI agent. 2. For this course, I chose to use LLM models running locally on my machine via Ollama (models: Magicoder, GPT, LLaMA3). I ran the course code locally, and each time I faced issues during the agent loop execution鈥攐ften the LLM failed to stay within the tool-based narrative set by the prompts. I don鈥檛 know how it would perform using the OpenAI API.
By Eve R
鈥Sep 18, 2025
The core of the information is really good. But... for a "beginner" course, a LOT of python and programming knowledge is assumed. There are also very few graded assignments, which made it easy for me (with significant programming xp) to breeze through the course; but also didn't really solidify anything. I went with the recommended google.colab suggestion for running code; but it's not like I have files there. This would have benefitted from more programmer-esque setup and course structure (like, implement this part of the agent). More guidance on how to set up a local environment and and sample project to follow along with would have been really nice.
By C G
鈥Apr 29, 2025
a lot of coding that i would have liked some of it explained in a video.
By Pablo F S M
鈥Oct 9, 2025
Muy pobre
By Blair M
鈥Sep 30, 2025
Not a beginner level course. If you don't have significant Python experience, don't waste your time ... module one will leave you absolutely lost.
By Vincent G
鈥Sep 30, 2025
procedure to test and write code with Google Colab, is not up to date. Open AI API free usage is over.
By Samuel A
鈥Aug 22, 2025
They charged $49 me even if I cancelled just after 3 days. It wasn鈥檛 even a week after I enrolled.