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Back to AI Agents and Agentic AI with Python & Generative AI

Learner Reviews & Feedback for AI Agents and Agentic AI with Python & Generative AI by Vanderbilt University

4.7
stars
102 ratings

About the Course

AI Agents Are the Next Leap in Software. Learn to Build Them in Python. AI agents aren't passive tools. They think, act, and solve problems鈥攚ithout waiting for instructions. That's the future of software. And in this course, you'll learn how to build it. Frameworks come and go. Principles last. This course cuts through the noise to teach you how AI agents really work鈥攗sing Python, the leading language for AI development. Forget tutorials on trendy APIs that'll be dead by next quarter. You'll learn to build AI agents from the ground up. No fluff. No shortcuts. Just the core architecture that powers intelligent systems鈥攌nowledge that stays useful no matter how fast the landscape shifts. In this course, you will: - Master Python-based agent architectural fundamentals - Understand the core GAME components (Goals, Actions, Memory, Environment) that make AI agents tick and how they work together in a cohesive Python system - Leverage Python's strengths for efficient agent development - Use Python's dynamic typing, decorators, and metaprogramming to create flexible, maintainable agent frameworks with minimal boilerplate code - Rapidly prototype and implement Python agents - Learn techniques to quickly design Python agent capabilities with prompt engineering before writing a single line of code, then efficiently translate your designs into working Python implementations - Connect Python AI agents to real-world systems - Build Python agents that can interact with file systems, APIs, and other external services - Create Python-powered tool-using AI assistants - Develop Python agents that can analyze files, manage data, and automate complex workflows by combining LLM reasoning with Python's extensive libraries and ecosystem - Build Python developer productivity agents - Create specialized Python agents that help you write code, generate tests, and produce documentation to accelerate your software development process Why Principles Matter More Than Frameworks The AI landscape is changing weekly, but the core principles of agent design remain constant. By understanding how to build agents from scratch, you'll gain: - Transferable knowledge that works across any LLM or AI technology Deep debugging skills because you'll understand what's happening at every level - Framework independence that frees you from dependency on third-party libraries and allows you to succeed with any of them - Future-proof expertise that will still be relevant when today's popular tools are long forgotten By the end of this course, you won't just know how to use AI agents鈥攜ou'll know how to build them in Python, customize them, and deploy them to solve real business problems. This course will teach you these concepts using OpenAI's APIs, which require paid access, but the principles and techniques can be adapted to other LLMs....

Top reviews

AS

Mar 28, 2025

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

AQ

May 7, 2025

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

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1 - 23 of 23 Reviews for AI Agents and Agentic AI with Python & Generative AI

By Tom K

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Apr 6, 2025

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.

By Sumon M

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Mar 20, 2025

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

By Javier M

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May 6, 2025

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

By Richard M

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Apr 27, 2025

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.

By Amit S

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Mar 28, 2025

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

By Abdiel Q

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May 7, 2025

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

By Peter R

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May 19, 2025

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

By Daniel F

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Jun 1, 2025

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

By David K

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May 30, 2025

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

By Raghavendra D

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Apr 15, 2025

It was great learning experience implementing GenAI agents using Python

By Timothy P

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May 12, 2025

Good course, would like more graded homework.

By James M

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May 8, 2025

Great course delivered by a GREAT teacher

By Vasu C

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Apr 5, 2025

Simplified and well structured.

By Miguel M

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May 20, 2025

Excellent !!

By Luis G C

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Apr 17, 2025

Very clear

By Ricardo P

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Apr 14, 2025

Excellent

By 小邪写褍邪泻邪褋芯胁邪 袚 袦

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Apr 17, 2025

芯褌谢懈褔薪薪芯

By Javier D J T

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Apr 2, 2025

Good

By Damira A

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Apr 1, 2025

邪

By Kaihaan J

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Jun 9, 2025

Good examples - although they make you work a bit to really get them working.

By Jari v d M

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May 8, 2025

awesome!

By Nicol谩s D

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Jun 11, 2025

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.

By C G

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Apr 29, 2025

a lot of coding that i would have liked some of it explained in a video.