糖心vlog官网观看

Chevron Left
Back to AI Agents and Agentic AI Architecture in Python

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

4.6
stars
81 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

RF

Jun 21, 2025

One of the most enjoyable courses I have found on 糖心vlog官网观看. Excellent lectures and content.

SB

May 12, 2025

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

Filter by:

1 - 22 of 22 Reviews for AI Agents and Agentic AI Architecture in Python

By Rony A

鈥�

Apr 23, 2025

Not what I expected. While the course material is well presented and the code examples quite good, the name of the course is AI architecture in Python. I was expecting programming assignments and tests without which the retention is considerably reduced.

By robert f

鈥�

Jun 21, 2025

One of the most enjoyable courses I have found on 糖心vlog官网观看. Excellent lectures and content.

By Marcos V P d N

鈥�

May 26, 2025

The course covers an important subject in developing AI Agents. But, we don't get any good references that can help to complete the learning and get some other approaches on the subject. Also, I missed some good practices.

By navroze b

鈥�

Jun 3, 2025

Great Course for people who want to get started with Agentic AI. Can't wait to explore other courses. Also you should only take this course if you are familiar with Python. Without python you wont be able to understand Module 4 and Module 5. It gets a bit more Python driven in the last two modules

By Zarko C

鈥�

Aug 20, 2025

Most insteresting course so far at least for me - looking forward to more courses like this. Multi-agents has been my favorite topic for a long time... I liked code samples which illustrate concepts and make them more practical

By Snehan B

鈥�

May 12, 2025

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

By Jan F

鈥�

Aug 4, 2025

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

By Marco G

鈥�

Jun 18, 2025

Super useful , mind opening, REALLY useful also for managers and PM

By Noa E

鈥�

Mar 13, 2025

Amazing course, thanks for your insights and techings Jules

By Raini

鈥�

Aug 24, 2025

Another amazing class! I will go through this one again.

By Manodya r

鈥�

Aug 2, 2025

good explanations

By KELLEN C

鈥�

Jul 1, 2025

Great information

By DHRUVI P

鈥�

Sep 8, 2025

very useful

By Mildrien I H

鈥�

Jul 21, 2025

good stuff.

By Erkebulan H

鈥�

Apr 10, 2025

袧薪褕芯褉谐褕谢

By Javier D J T

鈥�

Apr 2, 2025

Good

By Tikikrishna M

鈥�

Mar 27, 2025

Nice

By 袘 袞

鈥�

Jun 11, 2025

袝械械

By Kamohelo M

鈥�

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 Frederik V

鈥�

Aug 6, 2025

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

By Terry B

鈥�

Aug 20, 2025

The exams suggest using ChatGPT or Gemini, which makes them too easy.

By Paritosh K

鈥�

Aug 24, 2025

it`s a good couse for beginners.