Vishal Bagla

🚀 AI has already become inevitable part of every Product Manager's job.

If you aren't using AI or leveraging AI, then you are already lagging behind. Salary of entry level AI PM (1-3 years) is in the range of 10-15 lacs/year; while, for mid-level AI PMs (3-5 years), it goes upto 50 lacs in India.

Top companies such as Meta, OpenAI, Netflix, etc. are paying $1 Mn+ to AI Product Managers.

AI Wave is real - it is there to stay. It will not die down, it will just change its form and shape as the technology evolves.

Course overview

AI Product Management course is built for aspiring AI Product Managers, Product Managers and builders who want to learn and master the skills of AI at the intersection of product, business and strategy.

From understanding Generative AI, RAG and AI Evals to building AI agents, crafting prompts for automation and leveraging AI for product insights, this course gives you practical, real-world skills you can apply immediately in your job or startup.

This isn’t theory - it’s hands-on, actionable and designed for PMs who want to build and lead AI-native products.

💡 Why this course matters?

1. AI is reshaping how products are built, tested and shipped.
2. Product Managers who can speak the language of AI and use tools like ChatGPT, Gemini or Claude will lead the next wave of innovation.
3. This course bridges the gap between AI knowledge and product execution - helping you go from AI-curious to AI-confident.

📘 What you will learn?

🧠 Understand Core AI concepts

1. Learn the differences between Predictive vs. Generative AI
2. Understand Supervised, Unsupervised & Reinforcement Learning
3. Decode RAG (Retrieval-Augmented Generation) and AI Evals
4. Grasp the role of GPUs in powering modern AI
5. How do LLMs work?
6. 3 Types of AI Models - Transformers, GAN, Diffusion
7. Chunking: The Foundation of Effective RAG Apps
8. Workflows vs AI Agent vs Agentic AI
9. Vector Databases
10. Embeddings

⚙️ Build & automate using prompts

1. Write high-quality prompts that deliver structured, accurate, and scalable outputs
2. Create Custom GPTs, Gems using platforms like ChatGPT, Gemini
3. Use prompt libraries to automate research, analysis and content creation
4. To AI or Not to AI - Framework to decide where to use AI and where not

📈 Enhance your efficiency and product decisions with Prompt Engineering and Prompt Library

8 prompts to drive efficiency and job search

1. Prompt to answer - “How would you improve product <xyz>?
2. Prompt to get brutally honest answer from ChatGPT and remove bias
3. Prompt to optimize LinkedIn profile
4. Prompt to refine your User Research Survey based on MoMs Test
5. Prompt to track and analyze your Competitors and Industry
6. Prompt to analyze any Listed Stock and get recommendations
7. How to prompt like a pro? Improve your prompt quality
8. Prompt to research a company before your Interview

💼 Accelerate Your Career with AI

1. Understanding the Three Types of AI Product Managers 🤖

2. 6 Types of AI PM Interview Questions

--- Type 1: Conceptual questions - Testing the fundamentals

--- Type 2: Pricing of GenAI-driven projects

--- Type 3: Measure the accuracy of AI Projects

--- Type 4: GenAI applications in your field

--- Type 5: Prototyping (aka "Vibe Coding")

--- Type 6: Risk, Guardrails and Ethics

3. How to measure the accuracy of AI Projects?

4. How to calculate the pricing of your AI project?

📝 Case Studies (To Practice without Solutions)

1. Case Study 1: Building the Content Engine
2. Case Study 2: Building a Co-Pilot for your Support team
3. Case Study 3: Automated "Meeting Minutes" for Enterprise
4. Case Study 4: Improving Search Experience on an E-commerce App Using GenAI
5. Case Study 5: Review Summarizer
6. Case Study 6: Personalized AI-Led Learning Paths in an EdTech App

📝 Case Studies (To Practice without Solutions)

1. Case Study with Solution 1 - AI Evals for Customer Support System

🧩 Why this course is different?

Unlike generic AI courses, this one is built by a Product Manager for Product Managers - every module connects AI techniques to product outcomes.

You will learn frameworks, prompts and use-cases that can instantly make you 10x more effective in research, decision-making and execution.

🎯 Who should consider this course?

1. Aspiring Product Managers
2. Current Product Managers looking to get into or learn AI Product Management
3. Anyone looking to learn to drive efficiency in their day-to-day work
4. Anyone curious about building smarter, faster, AI-driven products

Who should NOT consider this course?

1. Experts in AI and Machine Learning - It covers a lot of things from basics, so you may not get 100% value

Updates every month

1. New topics are added every month to this. You will get access to them without any additional cost.

Topics coming next

1. Prompt Engineering
2. Leveraging NotebookLM
3. Creating your own Chatbot using Chatbase
4. Framework to decide if you should use GenAI for a project
5. Vibe Coding - Building your own product

My recommended AI Tools

1. Lovable.dev - vibe coding and creating products at 10x speed
2. Readdy.ai - UI/UX prototyping and creating designs with simple prompts
3. Emergent - vibe coding and creating products
4. Gamma - Creating beautiful presentations in minutes

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