What Fellows say, in their own words.

This course is highly practical and does an excellent job of distilling core AI concepts into actionable insights you can apply immediately. What sets it apart is the capstone project—it offers a valuable opportunity to put theory into practice by building your own AI-driven product. The live sessions are also a highlight. Miqdad creates an engaging space for learning, addressing thoughtful and challenging questions with clarity and depth. I would definitely recommend this course to anyone looking to bridge the gap between AI theory and real-world application.

Great and well structured view on how PM role shifts in the era of AI. Definitely join the online classes, Miqdad's answers to questions are at least as valuable as the content itself :)

This was an amazing course and I got to learn the AI product management from a seasoned instructor and build relationships.

Pretty technical course. Kudos to Miqdad for able to answer every question asked in a very detailed manner. He articulates AI and other subjects in a way hardly anyone of us can imagine.

Miqdad is an incredible instructor who manages to break down the most complex concepts in a way anyone can understand. I love that he made AI seem super easy. Props to Jennifer and the Product Faculty team for facilitating a super smooth course experience!

High quality deep dive into the state of AI, strategic considerations, and the process of building with AI. Well-suited to semi-technical product people. Plenty of opportunities and support for applying frameworks and fundamentals we're learning about. Well-organized course, and the flipped-classroom model worked well. Would definitely recommend for folks who have the money and want to go deeper on AI with a bit more structure!

Love the candid discussions and workshops. Improvements: 1) Hands-on training on Vector Databases, and/or how to create one 2) Easy and permanent access to slides... not through the suggested link, since that link is ONLY available as ProductFaculty user, not my own user => the link will be valid only as long as ProductFaculty exists as a user

I really appreciated the product strategy guidance in this session. It was very helpful in terms of how to drive AI product usage to a company's north star and inspirational! Thank you again for the interactive group sessions - these are an invaluable tool in getting me to think through problems more holistically with some expert guidance and review to refine the answers and craft.

Very solid training that covers end to end an AI initiative. Miqdad is a rock star! Happy to be part of this cohort!

Fantastic course. The instructor makes a big difference in classes like this. Miqdad has deep knowledge, cares about helping the students and articulates instruction clearly and in a way that is engaging.

This course was extremely well organized. The instructor was extremely knowledgeable and insightful. I found value in the modules and Capstone project. I really appreciated the live sessions, especially the ones from other industry leaders. Highly recommend.

Taking Miqdad Jaffer’s AI Product Management course has been a real unlock in how to think, communicate, and execute as an AI-first product leader. The mix of concrete frameworks (from opportunity sizing to the 4D playbook), live case studies, and hands-on exercises helps you practice real decisions rather than memorizing AI buzzwords. What stands out most is how clearly Miqdad explains complex topics like prompting, RAG, and model evaluation, and then ties them back to practical PM moves—roadmapping, PRDs, metrics, and stakeholder alignment. My favorite part was building an AI product through which I got hands-on skills. If you’re serious about leading AI products rather than just shipping AI features, this course gives you a structured way to level up your craft and your career narrative. Come prepared with a few Capstone project ideas to ace the coursework!

This course was comprehensive, easy to understand, and full of real-life examples to help practitioners understand and bring to life the concepts of AI. As someone who has only learned the theory of how AI works (not yet applied it), I took this course specifically to understand how to apply it to product development and product strategy. Miqdad was an incredible lecturer who brings a wealth of knowledge and experience. I am excited to apply my knowledge from this course to build my own AI product for the capstone!

Hi, I learned a lot in this course, especially about AI fundamentals, evals, how to optimize/choose the right tools, right LLMs etc. It was extremely helpful and valuable to learn the class content in a cohort setting. I wish there was enough time to walk through an actual project as part of the course. Thanks.

Me gustaría poner en práctica los frameworks y buenas prácticas aprendidas en el curso. Además, valoro mucho conocer gente de la comunidad y trabajar en proyectos en conjunto, ya que permite aprender de diferentes perspectivas y crear soluciones más robustas colaborativamente.

This AI Product Management program delivered exactly what today's PM needs. The hands-on frameworks and real-world examples strengthened my ability to identify high-impact AI opportunities, bring clarity to cross-functional collaboration, and make informed decisions around responsible AI development. I’m walking away with a much stronger toolkit that I’m already applying to build smarter, more user-centered products.

Overview of key AI concepts and principles were valuable. This will enable me to apply these concepts in my work.

I found the course content genuinely valuable and walked away having learned a great deal. As a non-technical PM leader, I now feel much more equipped to identify, evaluate, and conceptualize AI-driven features. The course gave me a strong foundational understanding of the development and deployment phases, along with a vocabulary and strategic lens that will help me assess the best use cases for AI. I also appreciated the product leadership bonus module — it was a thoughtful addition. The primary drawback for me was the cohort size, with 150–350+ participants attending live sessions. Although breakout discussions were useful for peer-to-peer learning, access to instructors was quite limited — only a handful of people were selected for live Q&A. As a result, I felt less individual accountability and wasn’t always confident that I was mastering the material at the intended depth. Additionally, the technical components focused primarily on the OpenAI playground and did not explore a broader range of LLM tools or models. The emphasis leaned more toward designing AI features rather than full AI product development — for example, we covered prompting techniques, RAG, and evaluation practices, but less on integration with user interfaces or end-to-end product execution. This left the development and deployment skill set somewhat under-supported. Overall, I gained meaningful insight from the course and appreciate the access to frameworks and concepts. However, given the limited instructor interaction and narrower technical focus, I felt the price-to-value ratio was higher than ideal. With smaller-group engagement or deeper hands-on guidance from instructors, I would rate the experience more highly.

Design more concrete

I have genuinely gained a lot from this course. I’m only just starting my capstone project, but it’s already helping me take a loose idea and shape it into a clearer and more strategic product direction, while also learning how to use AI in an effective and safe way. The 4D framework really resonates with me, especially after many years working with the Double Diamond. It’s practical, intuitive and has already influenced how I think about AI opportunities. I also appreciated the way the course looks at AI through customer, business and technology lenses, giving a grounded view of how AI products come together in the real world. My only challenge has been the timezone. Being in Australia meant the live sessions were all in the very early morning, so I missed out on the collaboration, but the content itself has been excellent, clear and immediately useful. Overall, a valuable and insightful course that has strengthened my thinking and confidence in the AI product space. Thanks for creating something so practical and well designed.

Great course to get an end-to-end understanding of what goes into AI product development.

This course is highly valuable. I appreciate the hands-on project focus.

Great course - very practical and applicable.

Course content is extensive and valuable.

i thoroughly enjoyed this course and got the structure that I needed for designing and deploying AI powered functionality in legacy products. I've rolled out a number of changes to our discovery, design and development practices in my product team, including placement considerations for AI features, AI PRD and best practices for traces and scoring. This course has sparked a few follow up questions that I now want to investigate, starting from handling of sensitive and confidential data in traces and up to the cross-functional quality control and rigorous testing routines before anything is deployed to production.