Data Science & AI
AI-Powered Product Management Training
Use AI across the product lifecycle, from discovery and prioritisation to analytics, roadmaps and shipping AI features
- Duration
- Live batches
- Format
- Live online
- Modules
- 9 modules
- Certificate
- On completion
- ✓Live online instructor-led training in scheduled batches
- ✓AI-assisted customer research, synthesis, PRDs and user stories
- ✓Product analytics, experimentation and metrics with AI support
- ✓Defining, scoping and evaluating AI-powered product features
- ✓Cost, quality, safety and UX considerations for LLM features
- ✓Assure Success course-completion certificate after a product case project
About the course
What this course covers
AI-Powered Product Management covers two related skills. The first is using AI tools to do product work faster and better: synthesising interviews, drafting requirements, analysing usage data, generating test cases and preparing roadmaps. The second is managing products that contain AI, where behaviour is probabilistic, quality must be measured with evaluation sets, and costs scale with usage.
You learn product fundamentals along the way, including discovery, prioritisation, roadmapping, metrics and experimentation, and then see how AI changes each. For AI features you practise writing specifications that include acceptable error rates, fallback behaviour and human review, defining evaluation criteria with engineers, estimating per-user inference cost, and thinking through risks such as hallucination, bias and privacy. Case exercises use realistic scenarios in fintech, e-commerce, edtech and SaaS.
There is no external exam. You complete a product case and receive an Assure Success course-completion certificate. No coding is required, but you will read simple outputs and work with data.
Who should attend
- ● Aspiring and junior product managers and associate product managers
- ● Business analysts and project managers moving into product roles
- ● Founders and product owners adding AI features
- ● Designers, marketers and engineers interested in product management
- ● Experienced PMs wanting to add AI product skills
Prerequisites
Key skills
Skills you will walk away with
AI-assisted discovery
Plan research and synthesise interviews, reviews and support tickets into insights, then validate them.
Requirements and specs
Write PRDs, user stories and acceptance criteria, including AI-specific quality targets.
Prioritisation and roadmapping
Use frameworks such as RICE and value-effort with data and AI support.
Product analytics
Define metrics, funnels and cohorts and explore them with SQL or AI assistants.
Experimentation
Design A/B tests and read results correctly.
AI feature design
Choose between rules, ML and LLMs, and design fallbacks and human review.
Curriculum
Module-by-module syllabus
9 modules · 36 topics
1Module 1: Product Management Foundations4 topics ▾
Learning objective: Understand the PM role and lifecycle.
- ▸ Product roles and teams
- ▸ Discovery vs delivery
- ▸ Product strategy and vision
- ▸ Where AI fits in the lifecycle
2Module 2: AI-Assisted Customer Research4 topics ▾
Learning objective: Learn from users faster.
- ▸ Interview planning and guides
- ▸ Synthesising interviews and reviews with AI
Schedules
Upcoming live batches
Enroll now and choose your batch dates
Send an enquiry and we'll reserve your seat in the next batch.
Certification
How you get certified
- 1Enrol in a scheduled live batch and receive the case pack
- 2Attend the live sessions and complete exercises
- 3Submit the product case project for review
- 4Meet the attendance and assessment criteria for your batch
- 5Receive your Assure Success course-completion certificate
Career outcomes
Roles this opens up
Associate Product Manager
₹8–16 LPA (approx.)Supports product discovery, specs and delivery for a feature area.
Product Manager (AI features)
₹15–35 LPA (approx.)Owns products or modules that include machine learning or LLM components.
Product Owner
₹10–25 LPA (approx.)Manages backlog and priorities for a delivery team.
Product Analyst
₹6–14 LPA (approx.)Analyses user behaviour and experiments to guide product decisions.
Salary ranges are approximate figures for India and vary by city, company and experience.
Why this certification is worth it
Two-in-one skill set
Product fundamentals plus practical AI use and AI product knowledge.
Why Assure Success
Learn it once, pass it once
Trainers from the field
Every session is led by a practitioner who uses this material at work.
Batches that fit your week
Weekday and weekend batches in IST, scheduled for working professionals.
Exam-style practice
Practice questions and, where available, a full simulator free with the course.
Exam voucher help
Discounted vouchers and step-by-step help booking your exam.
Human support
WhatsApp support Mon–Sat, 9 AM–8 PM IST — a person answers.
Pay your way
UPI, cards, netbanking and EMI in India; international cards accepted.
FAQs
Questions learners ask us
Q.Is this a product management certification like PMP or CSPO?
No. It is an Assure Success course-completion certificate with practical focus. It is not issued by an external product management body.
Q.Can a fresher become a product manager after this?
Fresher PM roles are competitive and often need internships, domain knowledge or experience in related roles. The course gives you skills and a case study but cannot promise a role.
Q.Do I need to code?
No. You will work with data and simple SQL examples, but coding is not required.
Q.What AI tools will we use?
General AI chat assistants for research, writing and analysis, plus examples of prototype tools. Specific tools may change by batch.
Q.Does it cover how LLMs work?
Yes, at the level a PM needs: capabilities, limits, cost, evaluation and safety.
Q.Is this useful for existing PMs?
Yes, especially the AI feature specification, evaluation and cost modules.
Q.Is there an exam?
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AI-Powered Product Management Training
