Product Management
Product Management is a 12-week course teaching the end-to-end craft of the role — user discovery, prioritization frameworks like RICE, roadmapping, writing PRDs, reading metrics with SQL, and scoping AI-powered features responsibly — for aspiring and early-career product managers who want a structured, hands-on path into the job.
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
Course details
Duration
12 weeks
Best for
Aspiring and early-career product managers who want a structured, hands-on path into the role
Enrollment isn't open for this course yet — check back soon or contact us.
Course Curriculum
A module-by-module breakdown of what you'll cover in Product Management.
01Getting Started & Environment Setup
4 topicsWeeks 1–2
- Signing up for free trials of Productboard, Amplitude, Mixpanel, and Dovetail
- Setting up Notion with Notion AI
- Confirming access to ChatGPT/Claude and Perplexity AI
- Setting up access to a SQL practice database
02Basic
4 topicsWeeks 3–4
- Product lifecycle stages
- Market research methods
- Competitive landscape mapping
- Business model basics
03Intermediate
4 topicsWeeks 5–6
- Discovery interview design
- Jobs-to-be-done framing
- Survey design and sampling bias
- Synthesizing qualitative data
04Advanced
4 topicsWeeks 7–8
- RICE scoring
- Kano model
- Now-Next-Later roadmaps
- Stakeholder alignment and trade-off communication
05Pro
10 topicsWeeks 9–10
- North Star metric selection
- Funnel, retention and cohort analysis
- SQL for product analytics
- Writing PRDs: scope, success metrics, and edge cases
- 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
- A/B test design and power analysis
- Statistical significance for product decisions
06AI Pro
3 topicsWeeks 11–12
- Using Claude, ChatGPT, and Perplexity for Product Management Work
- Verifying AI-Assisted PM Artifacts Before Sharing Them
- Project: AI-Assisted PRD Development with Claim Verification
Tools & Technologies
Hands-on practice with the same tools used by working professionals.
Real-Time, Industry-Based Projects
This is project-based learning modeled on real industry scenarios — you'll build portfolio-ready work as you go, not just watch lectures.
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.
Practical AI Skills
Hands-on training in using AI tools well — prompting, everyday workflows, and where AI actually helps versus where it doesn't.
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.
Career & Placement Support
100% of students enrolled in Product Management get full access to placement support — real tools and guidance, not just a promise. This is support and access, not a guaranteed job outcome.
Resume Builder
A resume auto-built from your real completed projects and certificates, ready to export.
Shareable Portfolio
A public portfolio page showcasing your approved projects, with a link you can share with employers.
Interview Preparation
Guidance on presenting your projects and experience clearly in real interviews.
Peer & Mentor Community
Ongoing access to our learner community for questions, feedback, and support after you finish.
What Your Certificates Look Like
Real, verifiable certificates with your name, Product Management, and a QR code anyone can scan to confirm they're genuine — one for completing the course, and a separate one if you take the internship track. Earning a certificate is free. To view, download and share it, there's a one-time ₹100 release fee per certificate — the same for free-course, paid-course and internship certificates.
Course Completion Certificate
Data24ZoneCertificate of Completion
Illustrative recipient
Your Name Here
Example certificate for completion of
Product Management
- Certificate No.
- D24-SAMPLE
- Mode
- Self-Paced
- Duration
- 12 weeks
- Example issue date
- On completion
Sample only — not a real, issued certificate.
Verification is available only on issued certificates.
Internship Completion Certificate
Data24ZoneCertificate of Internship
Illustrative recipient
Your Name Here
Example certificate for completion of
Product Management
- Certificate No.
- D24-SAMPLE
- Mode
- Internship
- Duration
- 12 weeks
- Example issue date
- On completion
Sample only — not a real, issued certificate.
Verification is available only on issued certificates.
Frequently Asked Questions
What will I learn in the Product Management course?
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.
What tools and technologies does the Product Management course cover?
This course covers: ChatGPT / Claude, Perplexity AI, Productboard, Amplitude, Mixpanel, Dovetail, Notion AI, SQL.
Is the Product Management course beginner-friendly?
Yes — this is a beginner-level course. It starts with a "Getting Started & Environment Setup" module covering tool installation before the main curriculum.
How long does the Product Management course take to complete?
The course is designed to be completed in approximately 12 weeks, depending on your pace.
What enrollment options are available for Product Management?
Project Training Track (₹1,499) — One defined learning project and 2 review sessions; no employment or stipend included. Self-Paced (₹1,999) — Learn anytime with the full recorded curriculum and community access.
Is there an internship option for Product Management?
Yes — the Internship track means working through real projects with our team and earning a separate Internship Certificate.
Will I get a certificate after completing Product Management?
Yes. Self-paced enrollment earns a course completion certificate once your final project is reviewed and approved. Internship enrollment earns an internship certificate once your internship projects are approved. Every certificate is publicly verifiable on our website and can be added directly to your LinkedIn profile. Earning it is free; releasing it to view, download and share is a one-time ₹100 fee per certificate.
What kind of projects will I build in Product Management?
You'll work on real projects such as: 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.
Is placement support included with Product Management?
Yes — every enrolled student gets full access to our placement support: resume building, a shareable project portfolio, mock interview preparation, and guidance applying what you've built to real job applications. This is support and access, not a guaranteed job outcome — how quickly it leads to an offer depends on the market and your own effort.
