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Master Product Management with AI-The Skillset Hiring Managers Are Looking For

AI-Powered Product Management Certification

Think Like a Product Leader, Solve Real Product Problems and Build AI-Native Products

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AI-powered Product Management Certification

Prerequisites and Eligibility for the AI-Powered Product Management Certification

Prerequisites and Eligibility

Whether you're transitioning into product management or advancing in your current role, this program is designed to support learners at different stages.

There are no strict eligibility criteria. To maximize your learning experience, you should have:

Prerequisites image
  • 500k+
    Career Transformations
  • 250+
    Workshops every month
  • 100+
    Countries and counting

Who Should Enrol in the AI for Product Managers Course

Who is this Course for
  • Looking to break into product roles with strong fundamentals
  • Aiming to strengthen product thinking and execution skills
  • Looking to integrate AI into product workflows and decision-making
  • Aiming to move into strategic and leadership roles in product
  • Exploring AI-powered product innovation and system design
  • Looking to create and scale AI-first products and workflows
Whoshouldlearn image

AI-Powered Product Management Training Highlights

Course Highlights

Live Instructor-Led Sessions to learn product thinking frameworks through interactive discussions and real-world product examples.

Product Thinking Frameworks to develop structured thinking using proven approaches to identify problems, evaluate solutions, and prioritize features.

Product Discovery and Design to learn how to identify real user problems, design solutions, and create meaningful product experiences.

Root Cause Analysis & Metrics Thinking to understand how product managers analyze metrics and diagnose performance drops or engagement issues.

Product Requirement Document (PRD) Writing to develop industry-standard documentation skills for clearly communicating product ideas and aligning stakeholders.

Hands-On Product Case Exercises to practice solving real-world product cases in every session by breaking down problems and designing effective solutions.

AI Foundations for Product Managers to understand how AI, Machine Learning, and LLMs are transforming modern product development.

AI Product Workflows to learn how AI-powered features are designed using LLMs, APIs, prompts, and automation pipelines.

Portfolio Building and Mock Interviews to build a strong product portfolio with teardown analyses, case studies, and PRDs while practicing interviews with peers.

Why Choose Our AI-Powered Product Management Program

upGrad KnowledgeHut Edge

First-Principles Product Thinking

Learn how great product managers approach problems starting from user needs and real-world constraints.

Practical Learning Approach

Each topic follows a structured format: Framework explanation → Case exercise → Individual assignment → Mock interview This ensures you build practical product thinking skills, not just theoretical knowledge.

AI-Focused Product Skills

Understand how AI is changing product development and learn how to design AI-enabled product features and workflows.

Product Portfolio Creation

Build tangible artifacts including Product Requirement Documents (PRDs), Product teardown analysis, and Product improvement case studies

Structured Interview Preparation

Participate in interviews and portfolio reviews to prepare for product management roles.
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Ready to unlock your full potential as an AI Product Manager?

AI Product Management Course Curriculum

Curriculum

1. Module 1: PM Fellowship: Week 1 – Product Thinking & Discovery

Topics

  • Product mindset
  • Why products exist
  • Product thinking vs feature thinking
  • Product discovery frameworks
  • User segmentation / Metrics framework
  • Persona building
  • Customer segmentation

Case Study

  • Define metrics for a productivity app

2. PM Fellowship: Week 2 – Product Design + Root Cause Analysis

Topics

  • Product design framework
  • User journey
  • Feature prioritization
  • Solution tradeoffs
  • Root Cause Analysis
  • RCA frameworks
  • Metrics drop investigation

Case Study

  • Design a feature for a learning platform
  • User engagement dropped 25%

3. PM Fellowship: Week 3 – Product Improvement + PRD

Topics

  • Product gap identification
  • User feedback analysis
  • Prioritization
  • PRD structure
  • Scope definition
  • Success metrics

Case Study

  • Improve grocery delivery experience

4. PM Fellowship: Week 4 – Product Teardown + Job Profiling

Hands-on Product Teardown:

  • Spotify
  • Notion
  • Airbnb
  • Portfolio building workshop
  • Resume Review
  • Portfolio structure
  • LinkedIn optimization

5. Module 2: AI : Week 5 – AI Foundations for PMs

Topics

  • AI vs ML vs LLM
  • AI feasibility thinking
  • AI use case discovery
  • AI feature design

6. AI: Week 6 – LLM APIs & AI Workflows

Topics

  • LLM fundamentals
  • Prompt engineering
  • LLM APIs
  • HuggingFace models
  • Hands-on lab

7. AI: Week 7 – AI Product Development + Architecture

Topics

  • AI agents
  • Automation pipelines
  • AI copilots
  • Architecture Tech for PMs
  • AI system design
  • Data pipelines
  • Model deployment basics
  • Build AI MVP

8. AI: Week 8 – Capstone + Job Profiling

Topics

  • Portfolio building workshop
  • Resume Review
  • Portfolio structure
  • LinkedIn optimization

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