Product Management Course: 45-Day Roadmap

A free, structured 45-day product management course: foundations, user research, strategy, data, tech, design, AI and interview prep. Days 0 to 7 need no sign-up.

Modules

• Foundations: Core mindset, PLC, PDLC, and essential PM documentation.
• Research: User interviews, market analysis, and opportunity sizing.
• Strategy: Business fundamentals, stakeholder management, and roadmapping.
• Data: SQL, Excel, Power BI, and Product Analytics.
• Tech: APIs, System Design, and Cloud Computing for PMs.
• Design: UI/UX principles, wireframing, and usability testing.
• AI: LLMs, Prompt Engineering, RAG, and AI Agents.
• Job Ready: Portfolio building, resume optimization, and interview preparation.

All lessons

1. Day 0: Foundation & Mindset — Start Your PM Journey Right
2. Day 1: What is Product Management?
3. Day 2: The Product Development Lifecycle (PDLC)
4. Day 3: Product Life Cycle (PLC) & PLM
5. Day 4: Product Sense: The PM Sixth Sense
6. Day 5: User Empathy
7. Day 6: Essential Product Documentation
8. Day 7: Stakeholder Management: The Product Manager's Essential Guide
9. Day 8: Business Fundamentals for Product Managers
10. Day 9: Introduction to User & Market Research
11. Day 10: User Interviews & Surveys
12. Day 11: User Personas & JTBD
13. Day 12: Competitive & Market Analysis
14. Day 13: Opportunity Sizing (TAM / SAM / SOM)
15. Day 14: Introduction to SQL (SELECT, WHERE, Basics)
16. Day 15: Filtering Data & SQL Joins
17. Day 16: SQL Set Operators & Functions Deep Dive
18. Day 17: Day 17— SQL Date Functions, NULL Handling & Advanced Logic
19. Day 18: Day 18 — Excel Fundamentals for PMs
20. Day 19: Day 19— Excel Charts, Pivot Tables & Dashboards
21. Day 20: Day 20 — Learn Power BI
22. Day 21: Product Analytics & Metrics Foundations
23. Day 22: Google Analytics 4 & A/B Testing
24. Day 23: Understanding APIs as a Product Manager
25. Day 24: System Design for Product Managers
26. Day 25: UI/UX for Product Managers
27. Day 26: Foundations of Agile & Scrum Project Management
28. Day 27: Cloud Computing for Product Managers
29. Day 28: What is Artificial Intelligence, Machine Learning and Deep Learning?
30. Day 29: Large Language Models (LLM) Foundations
31. Day 30: Prompt Engineering for Product Managers
32. Day 31: Context Engineering
33. Day 32: Retrieval Augmented Generation (RAG)
34. Day 33: Model Context Protocol (MCP)
35. Day 34: Introduction to Agent Workflow
36. Day 35: AI Agents for Product Managers
37. Day 36: Building Proof of Work: Why Aspiring PMs Must ship and How to Do It With No-Code Tools
38. Day 37: Building Proof of Work as an Aspiring Product Manager Through Structured Product Teardowns
39. Day 38: How Aspiring Product Managers Can Do a Startup Case Study to Get a PM Job
40. Day 39: Building a Strong PM Portfolio
41. Day 40: Building CV and optimising your linkedin
42. Day 41: Job Search Platforms & Referral Strategies
43. Day 42: PM Interview Rounds - Case Study & Product Sense
44. Day 43: PM Interview Rounds - RCA & Guestimates
45. Day 44: PM Interview Rounds - Product Improvement
46. Day 45: PM Interview Rounds - Behavioral & Final Feedback

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