AI Product Management
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Course Overview
Table of Contents
Program Syllabus
Module 1
About
AI Product Management is a comprehensive, industry-oriented course tailored for aspiring product managers, entrepreneurs, and technologists. The program equips learners with end-to-end knowledge of launching AI-driven products—covering everything from problem discovery, data sourcing, model selection, and user experience to team management, deployment, and continuous improvement. It bridges the gap between technical teams and business outcomes in the evolving AI product landscape.
Module 2
Aim
To train professionals in the essential skills required to manage AI product development from initial concept to successful launch, blending product strategy, data understanding, ethical AI deployment, and cross-functional leadership.
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
AI Product Management
Professional Certification Program
🎥
FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
Module 3
Program Objectives
- To instill a product-first mindset for AI innovations
- To bridge business goals with machine learning capabilities
- To equip professionals to manage uncertainty and complexity in AI
- To emphasize ethical and explainable AI as core product values
Module 4
Program Structure
Module 5
Module 1: Introduction to AI Product Management
- Chapter 1.1: Role of the AI Product Manager
- Chapter 1.2: How AI Products Differ from Traditional Software
- Chapter 1.3: AI Product Lifecycle Overview
Module 6
Module 2: Fundamentals of AI & Machine Learning
- Chapter 2.1: AI/ML Basics for Product Managers
- Chapter 2.2: Types of Models (Supervised, Unsupervised, Generative)
- Chapter 2.3: Data Lifecycle and Its Impact on Products
- Chapter 2.4: Understanding Evaluation Metrics and Trade-offs
Module 7
Module 3: From Use Case to Model
- Chapter 3.1: Identifying the Right AI Use Cases
- Chapter 3.2: Scoping MVPs for AI Capabilities
- Chapter 3.3: Working with Data, Labels, and Annotation
- Chapter 3.4: Model Selection and Collaboration with Data Science
Module 8
Module 4: AI Product Design and UX
- Chapter 4.1: Designing for Explainability and Trust
- Chapter 4.2: Human-in-the-Loop Design Patterns
- Chapter 4.3: Feedback Loops and Active Learning
- Chapter 4.4: Ethical Considerations in AI Interfaces
Module 9
Module 5: AI Delivery and Product Operations
- Chapter 5.1: Model Deployment Workflows and Tools
- Chapter 5.2: A/B Testing and Monitoring in AI Systems
- Chapter 5.3: Managing Drift, Retraining, and Model Updates
- Chapter 5.4: Platform Choices and MLOps Integration
Module 10
Module 6: Strategy, Roadmapping, and Stakeholder Management
- Chapter 6.1: Building an AI Product Strategy
- Chapter 6.2: Creating Roadmaps for Data-Driven Products
- Chapter 6.3: Managing Cross-Functional Teams in AI
- Chapter 6.4: Navigating Legal, Compliance, and Risk in AI
Module 11
Video Module TOC
~Video content aligned with weekly modules
Module 12
Week 1 Videos
Theme: Foundations of AI and Product Thinking
- Introduction to AI Product Management
- What Makes AI Products Unique?
- AI Product Lifecycle Overview
- Core Concepts in Machine Learning
- Supervised vs. Unsupervised vs. Generative AI
- Understanding Model Metrics: Accuracy, Precision, Recall
- The Role of Data in Product Outcomes
- Cross-Functional Collaboration in AI Teams
- Week 1 Summary & Prep for Scoping AI Products
Module 13
Week 2 Videos
Theme: Designing and Building AI Products
- Defining AI Product Use Cases
- Aligning Business Goals with ML Capabilities
- Scoping AI MVPs with Limited Data
- Working with Data Scientists: What PMs Should Know
- Labeling, Annotation, and Data Quality
- User Experience in AI Products
- Explainability and User Trust
- Feedback Loops and Iteration Strategies
- Week 2 Project Walkthrough: Designing a Smart Assistant MVP
Module 14
Week 3 Videos
Theme: Deployment, Scaling, and Strategic Management
- Deployment Workflows for AI Products
- Model Monitoring and Performance Tracking
- Managing Model Drift and Retraining Cycles
- A/B Testing for AI Features
- AI Roadmaps and Strategic Planning
- Legal, Compliance, and Ethical Concerns in AI Products
- Leading AI Product Teams: Roles and Responsibilities
- Final Project Demo Walkthrough: AI Feature in Production
- Career Paths and Scaling as an AI PM
Module 15
Lecture 1 (Week 1)
Title: Managing AI Like a Product, Not a Model
Duration: 60 minutes
Focus: How AI changes the role of a product manager — mindset, risks, and value
Guest: AI Product Lead at a SaaS company
Interactive: Live case breakdown of a failed AI feature rollout
Module 16
Lecture 2 (Week 2)
Title: Scoping, Shipping, and Learning: Iterating on AI MVPs
Duration: 75 minutes
Focus: Practical framework for building first versions of AI features
Guest: Senior ML PM / Applied Scientist
Interactive: Feature prioritization simulation based on user feedback
Module 17
Lecture 3 (Week 3)
Title: From Strategy to Scale: Running AI Products in Production
Duration: 90 minutes
Focus: Building long-term product roadmaps, aligning with business outcomes
Guest Panel: Head of AI Strategy + MLOps Engineer + Legal/Policy Expert
Interactive: Q&A on compliance, monitoring, and cross-team collaboration
Module 18
Intended For
- Product managers, business analysts, and project leaders
- Founders, entrepreneurs, and startup teams
- Engineers and designers transitioning into AI product roles
- No coding required, but technical curiosity is encouraged
Module 19
Program Outcomes
- Build confidence in managing AI/ML products end-to-end
- Communicate effectively with AI engineers and data scientists
- Design scalable, ethical, and user-centric AI solutions
- Prepare product launch strategies aligned with real-world demands
- Integrate model performance into product KPIs and decision-making
Module 21
Fee Structure
Fee: INR 21499 USD 249
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of CurrenciesModule 22
FOR QUERIES, FEEDBACK OR ASSISTANCE
Module 23
Key Takeaways
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
Module 24
Future Career Prospects
- AI Product Manager
- Technical Product Lead (AI focus)
- AI Strategy Consultant
- Chief Product Officer (AI startups)
- Responsible AI Advisor
Module 25
Job Opportunities
- AI/ML Product Manager at tech firms and startups
- Platform PM for LLMs or MLOps tools
- Data Product Manager
- AI Solutions PM in healthcare, finance, or edtech
- Conversational AI or NLP Product Manager
- Innovation PM in generative AI tools or assistants
Module 26
Enter the Hall of Fame!
Take your research to the next level!
Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.
Centre of Excellence
Join the esteemed Centre of Excellence.
Networking and Learning
Network with industry leaders, access ongoing learning opportunities.
Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).
Achieve excellence and solidify your reputation among the elite!
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Module 27
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