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Learner Reviews & Feedback for AI Agents and Agentic AI Architecture in Python by Vanderbilt University

4.7
stars
114 ratings

About the Course

Master the Art of Building Intelligent Python Agents That Think, Reason, and Act Unlock the full potential of Python for creating autonomous AI agents that solve complex problems without constant human direction. In this comprehensive course on AI Agents and Agentic AI with Python & Generative AI, you'll learn how to architect sophisticated agent systems that leverage Python's robust ecosystem and industry-standard capabilities. This course takes you beyond the foundations covered in the AI Agents and Agentic AI with Python & Generative AI course to explore advanced patterns for building truly intelligent agents in Python. You'll delve into specialized techniques like self-prompting, expert personas, document-as-implementation, and multi-agent orchestration - all implemented with Python's powerful frameworks and libraries. What You'll Learn: - Self-Prompting Patterns in Python: Build agents that dynamically adopt different thinking modes to handle specialized tasks, transforming unstructured data into structured formats with clean Python implementations - Python-Based Expert Persona Systems: Implement consultation frameworks where agents can invoke domain experts for specialized knowledge while maintaining clean architecture - Document-as-Implementation: Use Python's powerful file handling to create systems where human-readable documents become executable business logic - Multi-Agent Collaboration with Python: Design sophisticated memory sharing and coordination mechanisms between specialized Python agents - Progress Tracking & Planning: Implement robust planning and reflection capabilities using Python's comprehensive tooling - Python Agent Safety & Trust Systems: Build transaction management and safety mechanisms that leverage Python's exception handling and security features By the end of this course, you'll be equipped to build complex, production-ready agent systems in Python that can reason across multiple domains, handle complex workflows, and safely interact with real-world systems. Whether you're building productivity tools, automating complex business processes, or creating intelligent assistants, you'll have the Python-specific knowledge to implement agentic AI solutions that provide genuine business value. 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

Aug 3, 2025

Excellent videos and resources, especially the code examples. 10/10 course

SB

May 12, 2025

One of the great course to understand the importance of controllable outputs from LLMs

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26 - 33 of 33 Reviews for AI Agents and Agentic AI Architecture in Python

By Tikikrishna M

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Mar 27, 2025

Nice

By Chandrasekhar S

•

Nov 26, 2025

yes

By Б Ж

•

Jun 11, 2025

Еее

By Kamohelo M

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Sep 2, 2025

Incredible insight to LLMs and understanding the continuous issues with them. Should be mandatory for any person working with Data, computers and optimzation

By Juan M

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Sep 24, 2025

Content and explanations are great, I think a series of exercises and quizzes would really help making sure one can take the most out of it.

By Frederik V

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Aug 6, 2025

Useful patterns, I do miss a complete example or a wrap-up to put all the different architectural patterns together.

By Saurabh C P

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Dec 1, 2025

In my view, this is a good starting point for agentic AI, but it would be even more effective with concrete examples so we can better relate to the concepts being discussed. There is one example for invoice processing, but additional cases would help.

By Carlo D R

•

Nov 6, 2025

useless: a waste of time...