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    Product Management Mastery: Discovery to Growth with AI

    Learn product management from customer discovery and strategy to roadmaps, PRDs, Agile delivery, metrics, experiments, go-to-market and AI-assisted product work.

    • 31 Modules
    • 94 Lessons
    • 0 Students
    • English
    • Certificate on completion
    Product Management Mastery: Discovery to Growth with AI

    Course Overview

    Product Management Mastery takes you from the first question every product team must answer, which problem are we solving and for whom, through to launch and growth. Each module focuses on a decision a product manager really makes: customer discovery and interviews, problem framing and opportunity assessment, hypothesis testing and concept validation, product vision and strategy, outcome-based roadmaps, RICE prioritization and trade-offs, PRDs and user stories with acceptance criteria, Agile and Scrum routines, stakeholder influence and decision-making, MVPs and product-market fit signals, north star metrics and metric trees, funnel analysis and A/B experiments, business models and pricing, go-to-market planning, and how AI agents can support discovery, delivery and measurement while a human stays accountable for the decisions. Every module ends with a scenario-based quiz that tests applied judgment rather than memorized definitions.

    • 31 modules
    • 94 lessons
    • 31 module quizzes
    • Taught in English
    • Beginner to Advanced level
    • Certificate on completion

    Course Content

    31 modules94 lessons31 quizzes

    • Understand the Product: Problems, Users, Value12:00
    • Map the Product Lifecycle as a Learning Loop12:00
    • Introduction to the Product Management Journey10:44
    • What Product Management Actually Is47:49
    • The Product Life Cycle, Stage by Stage13:20
    Module quiz · 30 questions

    • What Product Managers Own7:45
    • How Product Teams Actually Work18:00
    • A Practical Roadmap to Becoming a Product Manager10:53
    • Product Manager Roles and Responsibilities, Explained9:56
    • Product Manager vs. Product Owner: Where the Line Actually Is23:21
    • Ten Tools Product Managers Actually Use24:41
    Module quiz · 30 questions

    • Designing Customer Discovery4:59
    • Running Better Customer Interviews8:00
    Module quiz · 30 questions

    • Personas and Jobs-to-be-Done2:39
    • Problem Statements and Opportunity Framing5:31
    • Building a User Persona That Actually Guides Decisions19:27
    Module quiz · 30 questions

    • Map Opportunities and Assumptions5:00
    • Write Testable Product Hypotheses3:59
    Module quiz · 30 questions

    • Validate Concepts Before Building5:34
    Module quiz · 30 questions

    • Prototype at the Right Fidelity4:12
    Module quiz · 30 questions

    • Build a Product Vision and Strategy5:17
    • Turn Strategy into Outcome Goals5:00
    • Disruptive Innovation and Product Strategy15:18
    • Ansoff's Product-Market Expansion Grid14:30
    Module quiz · 30 questions

    • Position the Product Clearly7:05
    • Market and Competitor Orientation34:54
    • What Market Research Actually Involves11:35
    Module quiz · 30 questions

    • Build an Outcome-Based Roadmap4:36
    • Adapt the Roadmap as Evidence Changes2:37
    • Product Roadmaps and Roadmap Strategy12:39
    • Building a Product Roadmap Step by Step17:34
    Module quiz · 30 questions

    • RICE Prioritization in Practice2:35
    • Make Trade-offs When Frameworks Disagree15:45
    • Feature Prioritization and Feature Types24:04
    • Seven Prioritization Techniques, Compared22:37
    Module quiz · 30 questions

    • Write a Clear Product Requirements Document6:24
    • Functional and Non-Functional Requirements8:00
    • Understanding and Documenting Feature Value10:30
    • Designing Product Features and Specifications14:39
    Module quiz · 30 questions

    • Write User Stories That Preserve User Value8:36
    • Acceptance Criteria and Backlog Refinement2:29
    Module quiz · 30 questions

    • Agile Thinking for Product Teams3:00
    • Scrum Events and Product Manager Responsibilities5:53
    Module quiz · 30 questions

    • Technical Feasibility and Product Trade-offs8:00
    Module quiz · 30 questions

    • Map Stakeholders and Influence Without Authority18:00
    • Communicate, Negotiate, and Resolve Conflict16:00
    Module quiz · 30 questions

    • Lead Through Context and Trust16:00
    • Make and Record High-Quality Product Decisions7:00
    Module quiz · 30 questions

    • Define an Evidence-Led MVP7:36
    • Recognize Product-Market Fit Signals1:18
    • MVP vs. MDP: Two Different Goals11:04
    • Gathering Feedback and Moving From MVP to MDP9:26
    • What Is an MVP, Really?8:02
    • Recognizing and Reaching Product-Market Fit12:16
    Module quiz · 30 questions

    • Choose a North Star Metric4:35
    • Build a Metric Tree and Launch Measurement Plan3:49
    • Value Creation, Communication and Delivery26:16
    • Measuring Value Delivery Effectiveness30:52
    • Measuring MVP and MDP Success4:17
    Module quiz · 30 questions

    • Analyze a Product Funnel4:01
    Module quiz · 30 questions

    • Design an A/B Experiment2:33
    • Interpret Results Without Fooling Yourself2:56
    Module quiz · 30 questions

    • Connect Customer Value to the Business Model4:23
    • Think Clearly About Pricing and Unit Economics5:20
    • Product Mix, Product Lines and the BCG Matrix12:25
    • Seven Pricing Strategies, Compared12:56
    Module quiz · 30 questions

    • Build a Go-to-Market Strategy6:30
    • The New Product Development Process27:29
    • Concept Testing, Launch Strategy and Measuring NPD Success19:44
    • Building a Go-to-Market Strategy, From Intellipaat's Full Course18:46
    Module quiz · 30 questions

    • Introduction and the Gen AI Revolution6:13
    • Understanding Large Language Models2:43
    • Tokenization and Training Data5:08
    Module quiz · 30 questions

    • The Stages of Training a Large Language Model10:42
    • Transformers and the Role of GPUs13:55
    • Post-Training and Reducing Hallucinations5:35
    Module quiz · 30 questions

    • The AI Product Management Value Chain12:45
    • Case Study: AI Note Takers, User and Business Value5:58
    • Designing for Trust, and How AI Meeting Tools Actually Work10:28
    • Growth Strategies, and the Limits of Just Adding More Context6:13
    Module quiz · 30 questions

    • Introduction to Context Engineering and RAG18:56
    • How RAG Actually Answers a Question16:24
    • Prompt Engineering Essentials and a Guide for Busy People14:46
    Module quiz · 30 questions

    • Day Two Consolidation: RLHF and Sharper Prompting Techniques12:15
    • Context Engineering and RAG in Practice: A Live NotebookLM Demo25:11
    Module quiz · 30 questions

    • Fine-Tuning: The Third Pillar of Context Engineering3:16
    • Introduction to Transfer Learning3:45
    • Creating and Utilizing AI Agents8:35
    Module quiz · 30 questions

    • Building a Real AI Agent: LinkedIn Summaries and Email Automation3:10
    • The AI Agent Stack: Reasoning, Memory, Tools, and Guardrails2:53
    • How Vibe-Coding Tools Like Lovable Actually Work4:56
    Module quiz · 30 questions

    • MCP: Letting AI Agents Talk to Any Tool12:30
    • Evaluating AI Products: The Job Website Case Study9:30
    • From Information to Knowledge: Building a Strong AI Portfolio5:32
    Module quiz · 30 questions

    Skills You'll Gain

    • Run customer discovery interviews and frame real user problems with evidence
    • Explain core product management concepts: feature prioritization, product mix, and value creation
    • Apply growth and portfolio frameworks such as the BCG Matrix and Ansoff's Expansion Grid
    • Run the new product development process from concept screening through launch
    • Distinguish MVP from MDP and iterate a product using real user feedback
    • Define product vision, strategy, and OKRs, and build an outcome-based roadmap
    • Prioritize trade-offs using RICE and other frameworks used by working product teams
    • Write PRDs, user stories, and acceptance criteria that engineering can build from
    • Work within Agile, Scrum, and Kanban delivery frameworks as a product manager
    • Read a market, track competitors, and position a product clearly
    • Define and track product metrics, a North Star metric, funnels, and retention cohorts
    • Design pricing strategy, business models, and a go-to-market launch plan
    • Use AI tools, LLM concepts, context engineering, and AI agents to accelerate product management work

    Requirements

    • No prior product management experience is needed. Basic computer and internet skills are enough
    • since every product concept is taught from the beginning.

    Who this course is for

    • Aspiring product managers
    • founders
    • designers
    • engineers
    • analysts and business professionals who want a clear
    • practical way to turn ideas into well-tested product decisions. It suits complete beginners as well as people already working alongside product teams. You will learn to run customer interviews
    • frame a problem and its opportunity
    • test hypotheses
    • prioritize with RICE
    • write PRDs and user stories with acceptance criteria
    • read a funnel and measure outcomes with a north star metric
    • design an A/B experiment
    • and draft a go-to-market plan.

    Sources

    Product Management Mastery: Discovery to Growth with AI
    Free
    0 enrolled
    No payment, no trial, no catch — ever
    31Modules
    94Lessons
    17h 8mDuration
    Beginner to AdvancedSkill level
    EnglishLanguage
    YesCertificate
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