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

4.6
stars
383 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—without 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—using 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—knowledge 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—you'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

SM

Mar 18, 2025

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

CC

Jul 28, 2025

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.

Filter by:

51 - 75 of 95 Reviews for AI Agents and Agentic AI with Python & Generative AI

By Robin R

•

Jan 5, 2026

easy to follow

By Lutfillayev M Z o

•

Sep 20, 2025

really usefull

By Virmerson B d S

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Jul 2, 2025

I recommend it

By Zuki P P

•

Jan 10, 2026

Good learning

By Tharani K

•

Jan 16, 2026

Super quotes

By Taruchit G

•

Jan 9, 2026

Great course

By Miguel M

•

May 20, 2025

Excellent !!

By Luis G C

•

Apr 16, 2025

Very clear

By Vũ T H

•

Nov 20, 2025

Very good

By 谷玉龙

•

Aug 18, 2025

very good

By Ricardo P

•

Apr 14, 2025

Excellent

By Садуакасова Г М

•

Apr 17, 2025

отличнно

By Jose S

•

Aug 4, 2025

Cool !

By Ormanraj D

•

Jan 31, 2026

great

By L S

•

Feb 7, 2026

best

By Madhav B

•

Dec 22, 2025

Good

By Rakesh R

•

Nov 13, 2025

nice

By Patel p b

•

Oct 7, 2025

good

By Akshay R

•

Jul 30, 2025

good

By Javier D J T

•

Apr 2, 2025

Good

By Chandrasekhar S

•

Nov 26, 2025

yes

By Ачилов У К

•

Oct 20, 2025

да

By Avinash C

•

Aug 26, 2025

Ok

By Damira A

•

Apr 1, 2025

а

By Alexander K

•

Jan 21, 2026

Rich material; requires medium-to-advanced Python knowledge to understand code and fill in some gaps across the modules between sample code and "tryout" notebooks. One-and-a-half star off for (a) incomplete Module 5 (as of Jan 2026, there is no "tryout" notebook for module's sample code, and some objects are not explained) and (b) unusual course behavior (as of Jan 2026, upon completing Module 2 I was awarded the course completion certificate. Maybe a sign that the course is not fully ready for production yet?...)