AI Product Management Course
Learn machine learning, GenAI, RAG, AI evals, agents and vibe coding as a product manager, then crack AI PM interviews. Our learners now work at Google, Microsoft, Uber and Coinbase.
- Videos
- 48+ lectures
- Case studies
- 25+
- Interview questions
- 20+
- Access
- Lifetime
Copy the code and apply it at checkout on Topmate.
About This Course
Everyone calls themselves an AI Product Manager now. This AI product manager course bridges traditional Product Management and the world of AI, so you treat AI as a product component instead of a black box.
You learn to build RAG systems, write AI evals, design agents, reason about AI pricing and reliability, and prototype with vibe coding. The final modules prepare you for AI PM interviews and AI product sense questions.
What You'll Learn
Machine Learning for Product Managers
The ML product lifecycle, data pipelines and the AI flywheel: where models fit in a product and what they need to work.
AI Algorithms Through Business Case Studies
Regression, decision trees and clustering, built hands-on in Google Colab on Hotstar, Swiggy and Amazon business problems.
Generative AI and Prompt Engineering
How GenAI models work, and the prompting techniques that make AI outputs reliable and repeatable.
AI Prototyping With Vibe Coding
Build AI prototypes yourself, from basic to advanced vibe coding, with a reliability framework for shipping them.
RAG, AI Evals and AI Agents
Build RAG applications, write evals for RAG and agentic systems, and design AI agents.
Crack AI Product Manager Interviews
20+ real AI PM interview questions on metrics, product sense, AI pricing, strategy and system design.
Course Curriculum
8 modules · 48+ videos- 01Module 1
AI Product Management & Machine Learning
AI product management from the ground up: where models fit in a product, the ML product lifecycle and the data pipelines AI products depend on.
- AI product management
- ML product lifecycle
- AI flywheel
- Data pipelines
4 lessons - 02Module 2
AI Algorithms & Applications
Solve real business problems with AI, hands-on in Google Colab: pick the right algorithm for each problem and build it.
Case studies:HotstarSwiggyAmazon- Regression
- Decision trees
- Clustering
- Google Colab
4 lessons - 03Module 3
Gen AI & Product Management
How generative AI models work, and the prompting techniques that make their outputs reliable.
- Generative AI
- LLMs
- Prompt engineering
5 lessons - 04Module 4
AI Prototyping & Vibe Coding
Build AI prototypes yourself with advanced prompting and advanced vibe coding, plus a reliability framework for shipping them.
- Advanced vibe coding
- Advanced prompting
- AI prototyping
- Model temperature
6 lessons - 05Module 5
Evals, RAG & Agents
Build RAG applications, write evals for RAG and agentic systems, and design AI agents.
- RAG
- AI evals
- AI agents
- Claude Skills
5 lessons - 06Module 6
AI PM Interview Questions
20 real AI PM interview questions with answers, the way top companies ask them.
- Metrics
- Product sense
- AI pricing
- System design
20 questions - 07Module 7
AI & Strategic Case Studies
AI pricing cases, AI strategy and the tech fundamentals every product manager needs.
- AI pricing
- AI strategy
- Tech for PMs
3 lessons - 08Module 8
Certificate of Competency
Finish the course and earn your Certificate of Competency in AI Product Management.
Certificate included
Who This Course Is For
This course is for
- Product Managers moving into AI products
- Engineers and analysts preparing for AI PM interviews
- PMs who want to prototype AI ideas without waiting on engineering
It's not for
- Anyone wanting live, mentored teaching. See the AI PM Builder Cohort.
- ML engineers looking for model-training depth
- People who only want a prompting course
Your Instructor
Shailesh Sharma
Founder, TechnoManagers · IIM Bangalore & IIT Kanpur alumniShailesh coaches candidates for Product Management, Program Management and Consulting interviews, and runs the TechnoManagers YouTube channel and AI PM Builder Cohort.
What Students Say
Amazing content on Advanced AI Evals. It helped me unblock a few things I’ve been struggling with while working on evals at scale. So if you are figuring out RAG evals, this framing might save you a lot of trial & error.
It is the only course you need to become the top 1% AI PM, period. Shailesh led the course and the effort he puts into each session is beyond what I have seen from any mentors I have interacted with. Super thankful to Shailesh for hosting this.
AI ML algorithms are explained in a very easy manner and in great detail. The vibe coding is also explained in extreme detail. The full course is all about hands-on examples.
A well rounded course, which talks about all of the necessary AI concepts. The beauty is that this course blends AI usage along with the traditional way of PM interview questions. Learning the implementation of evals in a real interview setting blew my mind.
The AI PM interview questions are good and well thought. Also I particularly liked the supporting reading material, the case studies. Too good.
This is the only course which you will need to become an AI builder. This completely changed how I look at quality in Generative AI.
A true value for money! PM interview landscape is changing and this course is fresh & relevant. Most of such courses are very expensive; a detailed course at such a price point is a steal!
The course content is really well laid out. It has helped in boosting my confidence by enabling understanding of AI concepts and also helped me witness some of the real life applications of AI.
I got an offer at eGov Foundation. I’ll be working under the CTO of Aadhaar. The RAG session in the cohort was a game-changer. In my interviews, I was questioned about a product I hadn’t directly owned, but the hands-on RAG work gave me the confidence to speak about it as I built it.
I’ve landed an AI Tech Product Manager role at Hero Vired, a Hero Group company, and I’m holding two other offers. One particularly valuable topic was LLM evals; it was directly relevant to the role and actually came up during my interview discussions.
I’ve built a much stronger understanding of how to create AI-native products end to end. I can identify where AI creates value, frame the opportunity and choose the right architecture.
Very structured content that has helped me crack my Product Management interview.
Practice With Real Interview Questions
View allFrequently Asked Questions
What does an AI Product Manager do?
An AI Product Manager owns products where a model is a core component: what to build, how it should behave and when it is reliable enough to ship.
Who is this AI product management course for?
Product managers moving into AI products, engineers and analysts preparing for AI PM interviews, and PMs who want to prototype AI ideas without waiting on engineering.
Do I need a coding background?
No. Algorithms and GenAI are explained step by step, and vibe coding is taught from basics to advanced.
Is this AI product manager course online and self-paced?
Yes. It is an online, self-paced course: 48+ video lectures and 25+ case studies you can work through anytime, with lifetime access.
Does it cover AI PM interviews?
Yes. A full module covers 20+ AI PM interview questions across product sense, pricing, strategy, metrics and evals.
Do I get a certificate?
Yes, a Certificate of Competency in AI Product Management.
How long do I have access?
Lifetime access.
How do I enroll?
Enroll Now opens the course on Topmate, where you see the current price and check out securely. Course access is shared right after payment.
