D24
Product & DesignBeginner12 weeks
Product Management
Learn the end-to-end craft of product management — from user discovery and roadmapping to writing PRDs, reading metrics, and scoping AI-powered features responsibly.
What you'll learn
Core PM frameworks for discovery, prioritization, roadmapping, and PRD writing
Metrics literacy: North Star metrics, funnel and cohort analysis, and SQL for product analytics
AI product strategy — scoping ML-fit features, evaluation criteria, and responsible AI design
AI-augmented workflows for experimentation, spec drafting, and stakeholder reporting
Course details
Duration
12 weeks
Best for
Aspiring and early-career product managers who want a structured, hands-on path into the role
On completion
Verified certificate & placement assistance
Course Curriculum
A module-by-module breakdown of what you'll cover in Product Management.
01
Product Fundamentals & Market Landscape
Weeks 1–2- Product lifecycle stages
- Market research methods
- Competitive landscape mapping
- Business model basics
02
User Research & Discovery
Weeks 3–4- Discovery interview design
- Jobs-to-be-done framing
- Survey design and sampling bias
- Synthesizing qualitative data
03
Roadmapping & Prioritization
Weeks 5–6- RICE scoring
- Kano model
- Now-Next-Later roadmaps
- Stakeholder alignment and trade-off communication
04
Metrics, Analytics & PRDs
Weeks 7–8- North Star metric selection
- Funnel, retention and cohort analysis
- SQL for product analytics
- Writing PRDs: scope, success metrics, and edge cases
05
AI Product Strategy
Weeks 9–10- Framing problems for ML fit
- Model capability and limitation literacy
- Evaluation metrics for AI features
- Responsible AI and build-vs-buy-vs-fine-tune decisions
06
AI-Augmented Experimentation & Reporting
Weeks 11–12- A/B test design and power analysis
- Statistical significance for product decisions
- AI-assisted spec drafting and feedback synthesis
- Executive-ready, AI-assisted stakeholder reporting
Tools & Technologies
Hands-on practice with the same tools used by working professionals.
ChaChatGPT / Claude
PerPerplexity AI
ProProductboard
AmpAmplitude
MixMixpanel
DovDovetail
NotNotion AI
SQL
Hands-on Projects
This is project-based learning — you'll build real, portfolio-ready work as you go, not just watch lectures.
RICE-scored feature backlog with a Now-Next-Later roadmap slide
User discovery report synthesized from real interview transcripts
Metrics dashboard tracing a North Star metric to team-level inputs
PRD and evaluation rubric for a new AI-powered feature
A/B test brief with sample-size calculation and a ship/no-ship readout
Every course includes a guided internship on top of your project work — so you graduate with real experience, not just a certificate.
Communication & Soft Skills
Built into every course, alongside the technical curriculum.
Communication Skills
Practice explaining technical work clearly to teammates, managers, and clients.
Teamwork & Collaboration
Work in small project teams using real workflows like stand-ups and code reviews.
Problem Solving
Build the habit of breaking down ambiguous problems into clear, solvable steps.
Time Management
Learn to plan, prioritize, and deliver project work against realistic deadlines.
Presentation Skills
Present your project work and results with confidence, as you would to a client.
Resume & Profile Building
Build a strong resume, LinkedIn profile, and project portfolio that recruiters notice.
Interview Preparation
Mock interviews and portfolio reviews to get you ready for real job applications.
Student Reviews
“The RICE prioritization exercise and the discovery interviews were the turning point — I finally had a repeatable way to defend roadmap decisions to leadership.”
Ananya Rajan
Associate Product Manager
“Scoping and writing the PRD for an AI feature end-to-end, including the evaluation plan, is exactly the kind of work I now do every week on the job.”
Karthik Iyer
Product Manager, Fintech
