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

4.7
stars
174 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

JF

Jul 28, 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.

EI

Jul 1, 2025

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.

Filter by:

26 - 40 of 40 Reviews for AI Agents and Agentic AI with Python & Generative AI

By Luis G C

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Apr 16, 2025

Very clear

By Ricardo P

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Apr 14, 2025

Excellent

By Садуакасова Г М

•

Apr 17, 2025

отличнно

By Akshay R

•

Jul 30, 2025

good

By Javier D J T

•

Apr 1, 2025

Good

By Damira A

•

Apr 1, 2025

а

By Justin F

•

Aug 2, 2025

The clarity and organization of the documents in Module 3 of the course could use some work. Much harder to follow than it should be. Not a beginner course, you need intermediate level Python coding experience (OOP familiarity is required). But other than those complaints, it is an illuminating course for how Agents are built from the ground up via the interaction of a Python framework and an LLM brain.

By Gioia G

•

Jun 16, 2025

It would be great if there were also videos explaining the coding step-by-step.

By Kaihaan J

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Jun 8, 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 Imtiyaz B

•

Jul 22, 2025

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

By Nicolás D

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Jun 10, 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 JUAN D A H

•

Jul 29, 2025

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.

By C G

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Apr 28, 2025

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

By Brian A

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Jun 28, 2025

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