Transition from Product Manager to AI Product Leader
Master the decision-making frameworks, technical systems, and execution strategies required to lead high-stakes AI initiatives. A 6-week intensive for senior professionals.
The Gap in AI Leadership
Product Managers are increasingly expected to lead AI initiatives. Yet, most lack deep clarity on ML, Generative AI, RAG architectures, agents, and rigorous evaluation metrics. This gap leads to stalled projects, misaligned expectations, and products that fail to deliver ROI.
The Transformation
After this program, you will possess clear mental models, not just buzzwords. You will hold confident technical conversations with engineering leads. You will have the ability to scope, validate, and evaluate AI products with precision.
Start Date
17th Jan 2026
Urgency
Limited to 30 participants
Program Deliverables
Live Instruction
Interactive weekend sessions focusing on strategy and frameworks.
Hands-on Labs
Practical exercises using real tools (OpenAI API, n8n, LangGraph).
Real-world Frameworks
AI Canvas, RAG evaluation metrics, and ROI cost modeling.
Capstone Project
Apply your learning to a specific industry use case.
Is this you?
- Struggling to assess whether a use case actually needs GenAI?
- Unsure how to evaluate hallucinations, latency costs, or true ROI?
- Finding it hard to bridge business intent with ML engineering constraints?
“If this resonates, this program is designed for you.”
Curriculum Themes
Foundations & Mindset
The AI Spectrum, rapid ideation tools, and understanding the unique role of an AI PM.
ML & LLM Fundamentals
Demystify tokens, context windows, hallucinations, and ML metrics (Precision/Recall). Speak the language of engineers.
RAG System Design
Architecting solutions with Retrieval-Augmented Generation. Embeddings, vector databases, and security.
Agentic AI Workflows
Moving beyond chat. Building reasoning engines, planning, tool use, and human-in-the-loop systems.
Evaluation & ROI
Input drift, cost modeling, feedback loops, and calculating quantitative vs qualitative ROI.
Your Instructors
Malthi SS
Chief Product Strategy Consultant
Former leadership roles at PayPal, Intuit, and SAP. Advisor to VC-backed startups and mentor with NASSCOM. Recognized as Women Product Leader of the Year 2024.
Aniket
Senior Manager, Product – Agentic AI
15 years in AI/ML Product Management. Former roles at PayPal and Fidelity. GenAI leadership at ASAPP and Monnai. Mentor at IIT Guwahati.
Who This Is For
Product Managers
2+ years exp. Transitioning to AI roles.
Product Leaders
Driving strategy across portfolios.
Consultants & Analysts
Evaluating AI opportunities & business cases.
Founders
Building AI-native products.
What People Say
"AI first product training by Malthi and Anuj is exceptional. Content offered concise examples with real world examples. Complex concepts were covered but made it simple to consume. The course has truly enhanced my job search and interview preparation."
— Mukula Joglekar
"Very relevant topic. The course was structured in a very practical way to help people at all levels to grasp the key elements of RAG."
— Priyamvadha Santhanam
"Had a really productive mentoring session with Malthi SS on the workflow of my AI product. She quickly grasped the core idea and offered very practical suggestions to streamline the process. Her experience with AI products really came through."
— Suparna Ghosh Roy Chaudhury
"When Product Managers need therapy, they seek help from Malthi. She would hear your problems patiently, ask the right questions like a counsellor and has actionable recommendations based on her experience."
— Sahil Riaz
"Initiative on AI Product Management timely serves an important need."
— Rakesh Kapoor
"Excellent session.. I would highly recommend this for every AI enthusiast"
— Anuradha Mohan
"Malthi could appreciate the stage of the career I am in and provide a clear roadmap of how I can grow further as a Product Leader. Super helpful session!"
— Sahil Riaz
"It was a pleasure interacting with Malthi. She patiently listened, took the time to understand my profile and career journey, and shared valuable insights along with practical tips to work on."
— Mehul Mathur
Program Logistics
- 6-week program duration
- 4 weeks core learning + 2 weeks capstone
- Live weekend sessions (Sat/Sun GMT+5:30)
- Weekday virtual office hours
- Capstone project with presentation
Weekly Syllabus
Frequently Asked Questions
Secure your spot in the cohort.
Limited to 30 participants to ensuring high-quality mentorship and peer learning.
Enroll Now - ₹55,000"If this page feels short, shallow, flashy, or promotional, it has failed. Depth, clarity, and trust matter more than visual novelty."