16-Day Program Structure
A 16-day intensive program designed for Product Managers who want to master AI tools, lead product discovery, build MVPs with vibe coding, and launch growth-ready products.
16 days · 4 phases
Phase 1: AI Foundations for Product Managers
AI Fundamentals for PMs
Learn how Generative AI, LLMs, and modern AI assistants work, their capabilities, limitations, and how they are transforming the Product Manager role.
Topics
- •AI, LLMs & Generative AI
- •AI capabilities & limitations
- •Prompt engineering basics
- •Building an AI-first workflow
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AI Tool Stack for PMs
Explore the essential AI tools used for research, content creation, analysis, documentation, and productivity, and understand when to use each tool effectively.
Topics
- •ChatGPT, Claude, Gemini, Perplexity
- •Notion AI, NotebookLM, Copilot
- •Research, documentation, and productivity workflows
- •Choosing the right AI tool for the right task
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Product Management Fundamentals
Build a strong foundation in product management, including product lifecycle, customer-centric thinking, problem-solving, stakeholder management, and product ownership.
Topics
- •Product lifecycle
- •Product thinking
- •Customer-centricity
- •Problem identification
- •Stakeholder management
- •Product strategy basics
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Phase 2: AI-Powered Discovery & Product Definition
Idea Generation & Market Research
Use AI to identify market opportunities, discover customer problems, analyze competitors, and validate product ideas faster.
Topics
- •Opportunity discovery
- •Competitor analysis
- •Market sizing
- •AI-assisted research
- •Trend analysis
- •Opportunity validation
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Customer Discovery
Learn how to create personas, map customer journeys, identify pain points, and understand customer needs using AI-assisted research techniques.
Topics
- •Personas
- •Jobs-To-Be-Done (JTBD)
- •Customer journey mapping
- •Pain point identification
- •Feedback analysis
- •Customer segmentation
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MVP & Product-Market Fit
Understand how to define a Minimum Viable Product, prioritize features, validate assumptions, and establish product-market fit.
Topics
- •MVP thinking
- •MVP vs Prototype vs POC
- •Feature prioritization
- •PMF fundamentals
- •Pricing basics
- •Success metrics
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PRDs & User Stories
Create professional Product Requirement Documents, user stories, acceptance criteria, and feature specifications using AI as a co-pilot.
Topics
- •PRDs
- •Epics
- •User stories
- •Acceptance criteria
- •Functional requirements
- •AI-assisted documentation
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Roadmaps & Product Strategy
Learn how to prioritize initiatives, define success metrics, create product roadmaps, and align product decisions with business goals.
Topics
- •Prioritization frameworks
- •Product roadmaps
- •Success metrics
- •Product strategy
- •Release planning
- •Business alignment
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Phase 3: Technology & MVP Engineering
Technology Foundations for PMs
Gain a practical understanding of frontend, backend, APIs, databases, authentication, cloud platforms, and how modern applications are built.
Topics
- •Frontend vs Backend
- •APIs
- •Databases
- •Authentication
- •Cloud basics
- •System architecture fundamentals
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Vibe Coding Fundamentals
Learn how to convert product ideas and requirements into working software using AI-assisted development tools without extensive coding knowledge.
Topics
- •AI-assisted development
- •Vibe coding principles
- •No-code vs low-code
- •Translating PRDs into applications
- •Build vs Buy decisions
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Building MVP – User Experience & Frontend
Create wireframes, user flows, landing pages, and application interfaces using AI-powered design and development platforms.
Topics
- •Lovable
- •Bolt
- •UI generation
- •User flows
- •Wireframes
- •Frontend creation
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Building MVP – Backend & Integrations
Build application logic, connect databases, implement authentication, and integrate third-party services using AI development tools.
Topics
- •Replit
- •Backend generation
- •Database setup
- •Authentication
- •API integrations
- •Third-party services
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Testing & Iteration
Validate product functionality, perform user testing, gather feedback, identify issues, and refine the MVP before launch.
Topics
- •QA fundamentals
- •User testing
- •Bug management
- •Feedback collection
- •Product refinement
- •Release readiness
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Phase 4: Launch, Growth & Capstone
Product Launch
Prepare the product for market by defining positioning, messaging, onboarding experiences, and launch strategies.
Topics
- •Go-To-Market (GTM)
- •Positioning
- •Messaging
- •Landing pages
- •Product onboarding
- •AI-generated marketing content
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Product Analytics & Growth
Learn how to measure product performance, analyze user behavior, track key metrics, and identify growth opportunities.
Topics
- •Funnels
- •Activation metrics
- •Retention metrics
- •Product analytics
- •Growth experiments
- •Optimization opportunities
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Capstone Demo Day
Present a complete product journey from idea to MVP, demonstrate the working solution, and receive structured feedback for future improvements.
Activities
- •Product presentation
- •MVP walkthrough
- •Mentor review
- •Peer feedback
- •Improvement roadmap
- •Graduation showcase
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