INTERNATIONAL CERTIFICATE IN
AI PRODUCT MANAGEMENT

Become an AI Value Creator.
Build, Launch & Lead AI-Powered Products.

Skills in: Prompt Engineering | Agent Workflows | Designing AI-powered Features | Model Experimentation | No-Code Prototyping | AI Product Strategy | Vibe Coding


Download program brochure for in-depth information
Field will not be visible to web visitor
Field will not be visible to web visitor

Cohorts from

& Hiring Organizations

About the AI Product Management Certification

This 12-week certification is for product professionals with or without coding skills who want to become AI value creators in their organizations.

Through weekly live sessions, hands-on projects, and unlimited 1:1 mentoring from global AI product practitioners, you’ll learn to integrate AI into product strategy, build AI-powered features, and lead AI initiatives with confidence.

No coding background required. This is a learning-by-doing program with live demos, presentations, and a capstone project reviewed by an industry jury.

Why AI Product Management Now?

“All Product Managers will be AI Product Managers in the future”

91%

of product leaders in India believe their companies need to adopt AI in
products to stay competitive

Source: Microsoft and LinkedIn 2024 Work Trend Index

54%

worry their PM organization lacks skills, a plan and vision for implementation

Source: Microsoft and LinkedIn 2024 Work Trend Index

Not a Cohort of 100

This program runs in an interactive, engaged cohort format.

Seats are intentionally limited to maintain:

Admission is not automatic.

Book a 1:1 Profile Evaluation

Before enrollment, we evaluate fit.

During your evaluation call, you will receive:

Typical Learning Path

Weekly Faculty Sessions

Weekly Faculty Sessions

Weekly live faculty sessions in the AI product management program
Agent Video Lessons

Agent Video
Lessons

On-demand video lessons for the AI product management certification
Capstone Project – LiGroup

Capstone Project – LiGroup

Individual and group assignments in the AI product management program
Project – Live Jury Presentation

Project – Live Jury Presentation

Industry-reviewed capstone projects in the AI product management certification
AI Product management course completion certificate

Certification

Plus:

What You’ll Learn

Prompt Engineering & LLMs

Master advanced prompting techniques and understand how Large Language Models work

AI Agent Workflows

Design and orchestrate autonomous AI agents for product automation

No-Code Prototyping & Vibe Coding

Build AI product prototypes and PoCs without writing code

AI Model Lifecycle

Model selection, fine-tuning, synthetic data, deployment & monitoring

AI Product Strategy & Roadmapping

Translate business objectives into actionable AI product roadmaps

AI-Driven Data Analysis

Use AI for data-informed product decisions and insights

NLP & ML Foundations

Grasp core ML/NLP concepts to collaborate effectively with engineering teams

Responsible AI & Data Governance

Embed ethical AI practices across the product lifecycle

Curriculum Preview

Weeks 1–4

AI Foundations for Product Managers

Weeks 5–8

Building AI Products

Weeks 9–12

Scaling AI & Capstone Project

Future Ready Fellowship

The Future Ready Fellowship is a limited period access initiative designed to help professionals proactively strengthen career readiness and future capability in Product & Leadership roles, at a time when many professionals are becoming increasingly vulnerable to changing market expectations.

Fellowship Benefits

As part of the Future Ready Fellowship, eligible professionals can access the program with institutional support, making world-class Product & Leadership education significantly more accessible.

Fellowship Support

Institutional backing for eligible professionals

Up to ₹1,10,000

All-inclusive · Limited period initiative

What you’ll Achieve from This Program

1 Program. 6 Outcomes

#1Apply
Apply AI-driven approaches such as Prompt Engineering, No-Code Prototyping, and AI Agents to optimize PM workflows from ideation to launch.
#2Evaluate and prioritize
Evaluate and prioritize high-impact AI use cases using model selection frameworks and synthetic data testing.
#3Design
Design AI-enhanced product features and roadmaps aligned with business objectives and user needs.
#4Implement
Implement responsible AI practices including data governance and ethical AI frameworks across the product lifecycle.
#5Demonstrate
Demonstrate leadership in AI initiatives by translating NLP, ML workflows, and model fine-tuning into executive-level business value.
#6Stay ahead
Stay ahead of AI innovation by mastering AI agents, emerging prompting techniques, and model optimization.

Copyright © 2026 Institute of Product Leadership