AI agents are transforming the way we interact with technology, and in this specialization, you’ll learn how to build them from the ground up—without the need for complex or rigid frameworks that will be irrelevant next week. Whether you’re a beginner or an experienced developer, you’ll master the core concepts that power AI agents, giving you full control over their design and capabilities. You’ll start with the fundamentals, understanding how agent loops work, then progress to equipping your agents with tools, integrating multi-agent systems, and implementing self-prompting for more autonomous behavior. Beyond coding, you’ll develop a deep understanding of AI architecture, learning to build resilient, modular, and maintainable agents optimized for token efficiency, speed, and predictable outcomes. By the end of this specialization, you’ll have the skills to create powerful AI agents and understand how to design them independent of any framework or programming language. This specialization is for anyone with basic Python skills—no prior experience with AI or machine learning is required. Whether you’re just starting or already experienced, you’ll gain both foundational and advanced insights into AI agents. Beginners will get a strong start, while experts will walk away with a deeper understanding of how to innovate in this rapidly evolving space. By the end, you’ll have the skills to create powerful, future-proof AI agent skills.
This course is about how to build AI agent with the basic loop structure and it also has detailed code to explain what is the best code structure to make it reuseable and less error prune
A lot of fun, and it takes you from the basics of prompt engineering to complex but extremely useful patterns and formulae. Grab this course and you'll be "programming" in plain English in no time.
One of the great course to understand the importance of controllable outputs from LLMs
Well presented. As a beginner it was easy to follow the sequence, and run through the problems to understand the concept.
The pace of the course and explanation given by Professor Jule's were easy to understand and comprehend Material -Video content and transcript , assignment were user friendly and very well laid out
Incredible insight to LLMs and understanding the continuous issues with them. Should be mandatory for any person working with Data, computers and optimzation
Best course if you want to learn how an agent really works, big thanks to the instructor
I really loved it, I used chatgpt to understand the videos and I'm glad coursera offers context under the videos, this helped me finish the certificate in not a long time, all it takes is dedication.
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.
I started writing Specialized Custom Agents for my goals directly after this course. Thank You!
After taking this course, I feel much more confident in leveraging ChatGPT for content creation, problem-solving, and more. Highly recommended for anyone looking to master AI interactions! ?
Need more in terms of graded knowledge assessments/assignments.
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I have no recent programming experience. I got so lost so quickly. This was such a frustrating experience. This is not a beginner's course.
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.
Too verbose. Not many practice sessions. There should be examples for Gemini AI because it is free. OpenAI is not free
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.
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.
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.
This course got extremely complicated very quickly, way beyond my basic capabilities.
The AI Agents and Agentic AI with Python & Generative AI course provided insight into several compelling and advanced concepts. While I already have experience building AI agents, many of the architectural approaches presented expanded my perspective on how powerful and flexible agent-based systems can be. I fully intend to implement many, if not all, of the techniques introduced in this course in my future AI agent projects, as they offer clear improvements in architectural design specific to effective prompt management, multi-agent coordination, dynamic persona injection, memory management and sharing, and overall communication management with LLMs.
Very informative. Lots of code examples. Thorough videos, showcasing and explaining the topics precisely, accurately and in detail. _No AI dubbing_. Fantastic course, genuinely.
This Course helped me a lot to understand how LLM works and main concept of prompt.
Clear, simple, extremely useful, and powerful content for AI enthusiastics.
The presenter is very engaging and uses easy-to-relate real world examples and analogies that click for me. I don't really know Python beyond being able to setup an environment on my Windows machine to run python programs, but I have extensive software development experience and familiarity with other languages, so everything has clicked for me with this course. The content is really engaging and I found myself taking the samples further and doing a lot of additional work just to see how it could all work together with AI. I'm definitely recommending this course and in particular this professor to anyone. Well done! Minor complaint/suggestion: The code examples are good and the google colabs is very helpful, but for people running the samples locally it would really be nice to write out the examples in code blocks that can be easily copied, as well as providing the colabs functionality. Or even if you just provide the ability to download the code sample in a zip file or something relevant. Sometimes I'm on a network that blocks colabs and I have to jump through hoops to get the code. Most times I like working in my own IDE vs colabs. Thx!
This is an excellent course on agentic foundations, providing a clear understanding of how agents work and why they function the way they do. Most importantly, it offers hands-on experience in building an agent from scratch. The course also complements popular books on the subject, such as *Build an Agent from Scratch* (Manning) and *AI Agents* (O’Reilly), making it a valuable resource for anyone interested in developing a deeper understanding of agentic systems.
The course starts off very complex and then covers the theory. It's an advantage if you understand Python and can read code. I recreated all the examples in VS Code myself, parallel to the Google Colab code. That helps enormously with understanding. If you want to get into the details, you'll need a lot more time. But it's definitely worth it. Jules is very good; I've already completed several of his courses.
Dr. Jules White is an excellent speaker and demonstrates an understanding of simple, easy and effectively communicating, the often abstract subject material, with ease to novice Generative AI course students. His course examples were very effective in elucidating the what I needed to know and how to do the graded assignments confidently and successfully. Well done Jules!!!
This course provides great hands-on experience and several codes that helps us learn the various aspects of Agentic AI. It has also taught me to think about the various applications where we can use Agentic AI. Overall a good course for someone with some Python skills to get a solid understanding of the Agentic Framework.
It was so good! Dr . Jules's teaching is mind - blowing and fantastic!! I have never seen a teacher teach like this before! I would highly recommend this course to anyone interested in learning Generative AI and Prompt Engineering. Or basically interested in how an AI works.
Great fascinating course and lessons that are so helpful and inspiring. Beyond explaining what has to be programmed or entered the teacher knows how to inspire people so that it is hard to stop watching the videos or trying out the examples.
A great introduction to creating applications that interact with Agents. Good code examples that are easy to get up and running. Includes extensive walk-throughs to help you understand best practices and how to make things work.
This course is very relevant in 2026, updating AI knowledge for all levels and backgrounds. The tests/exams are passable, and with hard work, you can earn your certificate. I think this is a good course, worth the time and money.