INTERNATIONAL CERTIFICATE IN AI PRODUCT MANAGEMENT
Become an AI VALUE CREATOR. Stay Ahead of the Curve With skills in Prompt Engineering Agent Workflows Designing AI-powered features Model Experimentation 10+ skills
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Cohorts from






12 Weeks (3 months)
Plus Access to Digital Resources
Weekly Sessions
Plus mini-projects, Capstone
1:1 Coaching
With Skill & Career Mentors
Why AI Product Management Now?
“All Product Managers will be AI Product Managers in the future”
91+
Source: Microsoft and LinkedIn 2024 Work Trend Index
54%
Source: Microsoft and LinkedIn 2024 Work Trend Index
“All Product Managers will be AI Product Managers in the future”
91+
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
About the AI Product Management Certification Program
This program is for product professionals with or without coding skills, AI knowledge and want to become an AI value creator in organizations to expand your influence, solve strategic problems and future proof your career.
You’ll learn how to integrate AI into your product strategy, develop AI-based product features, and navigate the ethical and regulatory issues surrounding AI.
This is a learning-by-doing skill building program with weekly live sessions, live demos & presentations, unlimited 1:1 mentoring from global product practitioners.
Typical Learning Path for this Course
Weekly Faculty Sessions
Assignments
Capstone Project
Certificate
What you’ll get out of this Program
1 Program. 6 Outcomes
Who is this AI Product Management Certification for?
Product Managers
interested in pivoting to AI Product Management in their companies and elsewhere and want to learn proven frameworks to build AI-driven applications and viable AI products.
Technology Professionals
looking to pave their path towards AI Product Management, enhance their skills and learn how to position themselves.
Product Leaders
that are staffing AI products organizations and want to learn how to make strategic tradeoffs and foster an AI-first culture.
Early Career Product Managers
who wish to understand what AI Product Management is and launch AI product features.
Technology Consultants
who focus on the analysis, design, and development of technology solutions for clients.
Topics covered in this Program
- Evolving role, responsibilities of Product Managers & essential skills required for success in AI Product Management
- Use artificial intelligence as a tool to enhance day-to-day work, decision-making, and strategic thinking.
- AI-driven data analysis and insights to inform and guide product decisions
- Translating business objectives into actionable AI product strategy execution & roadmap.
- Incorporate generative or predictive capabilities into product roadmaps seamlessly.
- Good grasp on AI Model lifecycle ensure successful productization of AI solutions with with Model Selection, Synthetic data generation, Fine-tuning, Model Deployment, Monitoring
- Articulate AI’s value proposition to both leadership and cross-functional teams.
- Ability to grasp the underlying principles of various AI models with Machine Learning foundations
- Prototyping & PoCs for validating ideas and demonstrating value with No-Code prototyping tools & Vibe Coding
- Solid grasp on how Large Language Models work, understanding how to craft & optimize prompts with Prompt Engineering techniques
- Hands-on experience in AI Agent Workflows & automation technologies
- Prioritize AI initiatives based on ROI, feasibility, and user impact.
This Program includes
90+ Hours of Learning, Case Studies, Projects Based Learning
Guidebooks, Templates & Toolkits
Curated Online Library of resources
Access to live class recordings for future review
AI sprints for collaborative learning and skill development with AI tools
Live Presentations & Demos by participants
Profile building workshops & Mock Interviews with Product Experts
Access to online portfolio builder and hosting tool to showcase and share your product portfolio
Skill Hackathons to showcase portfolio
3 Course Completion certificates + Globally Recognized Program Certificate
Syllabus
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Best-in-class curriculum by AI practitioners and industry leaders in the form of videos, cases and projects, assignments and live sessions
Download the Program Brochure
AIPM401F: Generative AI Product Management
Leverage AI to enhance PM workflows and strategic thinking
Focuses on how product managers can use artificial intelligence as a tool to enhance their own day-to-day work, decision-making, and strategic thinking. The focus is less on building AI products directly and more on how a PM can leverage AI to do their jobs more effectively.
- Evolving role & responsibilities of Product Managers.
- Essential skills required for success AI Product Management.
- Crafting and refining prompts to obtain high-quality outputs from generative AI models.
- Applying AI Product Management strategies using Prompt Engineering in daily workflows.
- Automating workflows through AI agents for streamlined processes.
- Applying Generative AI for efficient ideation and user research.
- Utilizing AI-Powered Product Management Tools for data analysis and insights extraction from product usage data.
- Transforming customer feedback and market data into innovative feature concepts and solution proposals.
- Translating business objectives into actionable AI product strategy execution & roadmap.
- Prioritizing AI use cases effectively in product development.
- Articulate AI’s value proposition to both leadership and cross-functional teams.
- Addressing risks related to AI bias or misuse through ethical considerations.
- Implementing oversight measures for responsible AI in Product Lifecycle Management.
AIPM402F: Predictive AI in Product Management
Incorporate AI-driven features and capabilities in existing products with foundational modeling and NLP concepts
This course emphasizes the integration of predictive AI in Product Management, guiding product managers in building or enhancing existing products through AI-driven features and functionality, aligning with market needs and business goals.
- Establishing foundational skills in managing data types, formats, and preprocessing requirements.
- Generate and leverage synthetic data to address privacy concerns or supplement limited datasets within AI Product Management.
- Ensure data integrity by detecting biases, missing values, and inconsistencies before model training.
- Collaborating effectively with data teams to manage data quality and bias.
- Solid grasp on how Large Language Models work, understanding how to craft & optimize prompts is key to performance.
- Ability to grasp the underlying principles of various AI models with Machine Learning Essentials, NLP
- Good grasp on AI Model lifecycle including Model Selection, Fine-tuning, Model Deployment, Monitoring to ensure successful productization of AI solutions
- Rapid Prototyping & PoCs for validating ideas and demonstrating AI value very quickly with No-Code / Low-Code prototyping
- Knowing how to monitor & measure AI model performance with Inference speed, scalability and evaluation metrics to build effective and user friendly AI products
- Implement iterative experiments to refine AI features and ensure continuous product improvement.
AIPM403F: Agent-driven Automation in products
Leverage multi-agent systems to automate and optimize product workflows
Harness the power of AI agents to handle repetitive tasks, streamline complex processes, and collaborate effectively. Identify automation opportunities, plan agentic solutions, and oversee successful deployment in real-world product contexts.
- Definition of AI agents and agentic AI concepts.
- Common use cases for agent-driven tasks.
- Multi-agent system design and communication protocols.
- Building resilient agentic workflows.
- Identifying automation opportunities in existing product processes.
- Mapping agents to specific tasks and workflows & orchestrating.
User experience considerations for agent-driven workflows
- Monitoring agent behavior and performance metrics.
- Strategies for managing errors, fallbacks, and overrides.
- Scaling agentic solutions across products and or teams.
- Cross-functional collaboration for continuous improvement.
- Addressing risks related to AI bias or misuse through ethical considerations.
- Implementing oversight measures for responsible AI in Product Lifecycle Management.
Tools Covered








Global Practitioner Faculty & Mentors
Learn from the People who DO.
AI Product Management Resources for you
What makes this Program different?
Skill Building. Not just Knowledge. "Learning" by Doing. Not Learning by Listening!
Not a Cohort of 100!
Interactive & engaged cohort based learning.
Cutting Edge Curriculum
Industry aligned, frequently updated curriculum created by practitioners, for practitioners.
One Month, One Skill
Real-time skill building with best practices frameworks, problem-solving projects and 1:1 mentoring sessions.
Lifetime access to IPL Alumni Network & Resources
4500+ strong Alumni to network with & direct access to monthly workshops, Masterclasses, Digital Resources.
Assurance of Skills
Build and showcase demonstrable skills portfolio. Get real-time feedback from hiring leaders.
Practitioners as Coaches
1:1 Coaching with Expert Skill & Career Mentors.
Weekly Live Sessions from Global Practitioner Faculty
Learn from the people who do. Not just teach.
Lifetime access to monthly hiring events
Get to your next career orbit with a unique way of hiring by display of skills in 10 monthly hiring events.
Learning by “Doing”
Practice & implement new-age skills through comprehensive frameworks, AI Sprints and skill hackathons by working on multiple hands-on projects.
Globally Recognized Institute
Consistently recognized as a top institute for Product Management & Leadership skill building with globally recognized certifications.
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Program and Course Certificates
Projects Based Learning
Learn through real-life projects and cross industry assignments
- Industry skill mentors assigned to each teams
- Final evaluation of projects done by external industry jury.
- Focus on Building a portfolio of demonstrable skills to crack into senior roles.
Career Impact
At the Institute of Product Leadership, the focus is on empowering individuals and fostering career development. The Career Assistance Platform (CAP) serves as a comprehensive resource, offering support to professionals in shaping and building successful careers.
CAP helps our students identify their skill strengths and weaknesses based on their career goals and assists them in addressing blind spots to achieve them through personalised 1:1 career coaching, resume and personal brand building activities, mock interviews with hiring managers, and placement drives.
Every month, an average of 8 companies visit the campus to hire IPL students.
- Exclusive Job Opportunities
- 1:1 career coaching
- Network with Industry leader
- Career & Mock Interview Workshop
To view more details, download the career transition report
Companies who love and trust us for grooming & growing their Product talent.




















Love & support from everyone on how we are doing in building the product ecosystem.
What Learners say about their AI Product Management Certification Journey
Special thanks to Professor SaiSatish and Professor Ashish for their insightful and engaging classes. Their well-structured, high-quality materials made the learning process much smoother and more effective.
A big thank you to Prof. SaiSatish Vedam and Ashish Verma for leading such an engaging and insightful course. This journey has laid the foundation for applying Generative AI in Product Management.
It was a good learning experience from an Industry expert, and it helps to implement at work.
Our alumni work at
Learning is better with Cohorts
Join 4500+ IPL Global Alumni
Connect with peers, network and form long-lasting relationships.
Learn from and with each other
You’ll be learning through Interactive sessions, group projects, live presentations with your cohort of peers.
Career Opportunities
Get to the next career orbit with career workshops, 1:1 career coaching, interview prep, portfolio reviews and monthly hiring events.
3 STEP PROCESS
- Digital Learning Courses
- Live Sessions with Faculty
- Class Session Recordings
- Monthly Skill Hackathons & Live Presentations
- Monthly Workshops & Masterclasses
- All learning resources including case studies, course materials, projects
- Unlimited 1:1 Skill & Career Coaching
- Placement assistance via Monthly Hiring Events
- Career Management Resources
- Lifetime Alumni Status with Continuous Learning
- Guide Books - Comprehensive study guides for future reference
- Toolkits & Templates for applying them at workplace
No-Cost EMI and Flexible Payment Options Available.
Elective Courses (Optional, Add-ons)
Here are a few related micro-certification courses you can choose from. These are optional, add on courses at additional fees.
LDR401F - Communicating for Impact
- High Impact Communications
- Presentation Structures like SMP, SIRF
- Visual Presentations
- Leveraging Voice & Body Language
- Networking Within & Outside
- Delivering Difficult News
- Handling Tough Q&A
- Cross Culture Communications
LDR402F - Leading with Influence
- Persuasion and Influence, Executive Presence
- Building a personal brand through Thought Leadership
- Personalized Assessments on Influentiality Index (II), Conflict Mgmt & Negotiation
- Leading People and Managing Globally Dispersed Teams
- Negotiation, Influence Skills
- Empowerment – Coaching, Training, Support and Motivation
- Leading Disruptive Innovation & Change Management
- Stakeholder Management & Creating Strategic Alignment
STG401F - Product & Digital Strategy
- Corporate Strategy, Business and Product strategy
- Understanding of strategic frameworks
- Opportunity analysis canvas
- Product portfolio expansion
- Ansoff model of Product Market Growth
- Models for Portfolio Analysis
- Technology and platform strategy
- Digital Transformation Models
- Developing roadmaps, defining KPIs and metrics
- Synthesizing and storytelling
DAT401F - Data Informed Decision Making
- Creating models for decision making
- Cluster Analysis, Monte Carlo Models
- The art and science of data visualization
- Storytelling with Data
Future Trends & Tools
Frequently Asked Questions (FAQs)
- About the Course
- Industry Focus
- Career Development
- Learner
- General Inquiries
About the Course
The International Certificate in AI Product Management program is a 12-week part-time program designed to help professionals build and scale AI-powered products. It covers AI fundamentals, ethics, and deployment through live sessions and hands-on projects and awards an industry-recognised certification. Ideal for product managers, entrepreneurs, and data professionals transitioning into AI product roles.
The program covers AI/ML foundations, data strategy, and ethical frameworks through industry-led learning, with 90+ hours of sessions, live mentorship, a capstone project, AI tools, networking opportunities, and an industry-recognised certificate ideal for product managers moving into AI roles.
The AI product management course not only teaches traditional PM skills but also specifically focuses on AI workflows, GenAI tools, prompt engineering and model experimentation.
The AI product management course spans 12 weeks in a part-time, blended format with live online practitioner-led sessions (weekends) and group projects and capstone projects designed for working professionals to balance learning with full-time roles.
Yes. The International Certificate in AI Product Management is designed around learning by doing. You’ll work on mini-projects, AI sprints, and a final capstone project that includes live presentations evaluated by an industry jury. Along with case studies, prototypes, and skill hackathons, you’ll also build a portfolio of demonstrable AI product skills to showcase to employers.
The tools and platforms taught in the AI Product Manager course include ChatGPT, Claude, Google AI Studio, Perplexity, Autogen, N8N, and more for GenAI and automation.
Yes, the International Certificate in AI Product Management is valued by employers worldwide and backed by the Institute of Product Leadership’s industry partnerships. Its practical curriculum ensures relevance across global markets.
Yes, the Institute of Product Leadership offers corporate training with tailored content, including industry-specific use cases, cohort-based learning for teams, and flexible scheduling. Organisations can contact the Institute of Product Leadership for enterprise solutions.
Benefits include skill upgrades to master AI product lifecycle management, career advancement opportunities in high-demand AI PM roles, networking with instructors and global peers, a practical toolkit to implement AI products, and credibility from the Institute of Product Leadership’s reputation adding value to your profile.
Industry Focus
This program includes a dedicated Generative AI Product Management module that teaches prompt engineering for refined AI outputs and integrates AI agent workflows to automate product management tasks.
Yes. The AI product manager course includes modules on AI governance, ethical use of synthetic data, and data responsibility. You’ll learn best practices in data analysis, stakeholder collaboration, and responsible AI to ensure compliance and trust across the product lifecycle.
The AI Product Management course teaches how to productize AI features by designing AI-driven roadmaps, prioritizing high-impact use cases, and translating technical AI workflows into real business value.
AI product management roles will grow as businesses adopt automation, personalization, and ethical AI practices across industries. This certification prepares professionals to lead that transformation with technical and strategic skills.
The AI Product Manager (AIPM) course ensures real-world skill building through hands-on projects, AI sprints, mini-projects, and a capstone evaluated by industry practitioners. With 1:1 mentoring, live demos, and interactive sessions, you’ll apply AI product management concepts in practical scenarios. The program also covers AI tools, prompt engineering, and model experimentation, helping you build a strong portfolio and gain industry-ready skills.
AI Product Manager salaries vary based on experience, skills, and role complexity. The program equips learners with AI product management expertise, hands-on projects, and portfolio-building, helping them transition into roles with higher earning potential.
The Institute of Product Leadership worked with 40+ product leaders who are actively looking to hire AI product managers, their expectations with regard to their job responsibilities and AI-related competencies. This then led to the creation of a structured framework of competencies & skills for an AI product manager. This Adaptive AI Product Management Competencies Framework is now being adopted widely across organisations.
Product managers use AI to automate workflows, gain data-driven insights, and design smarter features. It enhances decision-making, improves customer experience, and helps optimize product strategy for greater business impact.
AI is transforming product manager roles by automating routine tasks and delivering actionable insights. PMs who leverage AI-driven workflows, prompt engineering, and AI-powered product tools stay competitive, while those who don’t may risk falling behind in the evolving product landscape.
Career Development
Graduates can explore high-demand roles such as AI Product Manager, Technical Product Manager, ML Product Owner, GenAI Consultant, Product Strategist, and Innovation Manager across industries like tech, healthcare, and fintech. The course’s hands-on projects and industry focus prepare you to confidently step into these roles.
The AI product management course offers career and placement support through the Career Assistance Platform (CAP). Learners get 1:1 career coaching, resume and portfolio building, mock interviews, and monthly hiring events with 600+ partner companies, along with lifetime alumni network access.
Yes. The program includes monthly hiring events where participants directly engage with hiring managers and industry leaders. These sessions offer learners opportunities to showcase their AI product portfolios and skills live, aligning with expectations defined by over 40 hiring-focused product leaders who helped shape the curriculum and competency framework.
The AI Product Management program equips professionals to transition into AI PM roles through hands-on projects, an industry-reviewed portfolio, personalized mentorship, and live project demos. It also offers access to hiring events with recruiters and product leaders, helping build strong career credibility.
The career ROI of the AI Product Management Certification is very high-graduates have been placed in AI-first positions in top companies with competitive salaries and growth.
Some of the best AI tools for product managers are ChatGPT, Claude, Perplexity, N8N, Autogen, Google AI Studio, Langflow, Make, and no-code prototyping tools. These support prompt engineering, automation, AI agent workflows, data analysis, and rapid prototyping for smarter product development.
A Product Manager focuses on overall product strategy and execution, while an AI Product Manager adds AI expertise to design, implement, and optimize AI-powered features.
Learner FAQs
The AI Product Management course is ideal for product managers, tech professionals, product leaders, and entrepreneurs looking to transition into AI-driven roles. Designed to help professionals integrate AI into products, it requires no coding background, making it equally accessible to non-technical learners.
Prerequisites include foundational understanding of product management responsibilities, processes and frameworks. No coding/ML expertise is required, as the program simplifies technical concepts for PMs, mid-career professionals with 3+ years of experience in PM, tech, or related fields, and an open mindset to learn AI applications in business contexts.
Most learners in the AI Product Management certification program have 2–10 years of professional experience in product management, technology, or consulting. The program also attracts early-career professionals who want to pivot into AI product management and build future-ready skills.
Yes, this practitioner-led live online program is accessible to working professionals across India and globally, making it convenient to join from anywhere.
The AI Product Management course is designed for working professionals with live weekend classes, self-paced learning, and weekly projects that require only 6–8 hours per week, making it manageable alongside a full-time job.
Yes, certification requires active participation in live sessions, completion of projects and a live presentation of a capstone project (building an AI product MVP). These are evaluated by instructors to ensure practical competency.
Becoming an AI product manager requires a mix of product management fundamentals and AI-specific skills. Professionals need to understand AI workflows, model experimentation, prompt engineering, and AI-powered feature design, while also developing the ability to translate technical concepts into business value. Programs like the AI Product Management certification provide hands-on projects, mentorship, and career support to build these capabilities.
An AI product manager bridges the gap between technology and business by identifying AI use cases, guiding model development, and integrating AI into product strategy. They ensure AI-powered features align with user needs, manage ethical considerations, and translate technical capabilities into measurable business value.
AI Product Managers are the future of product management, as organizations increasingly need leaders who can integrate AI into products, drive innovation, and maintain a competitive edge.
General Inquiries
The AI Product Management course stays industry-relevant through a practitioner-led curriculum, hands-on projects, and continuous updates on emerging AI tools like prompt engineering, agent workflows, and no-code prototyping by ensuring learners build skills aligned with real-world industry needs.
The program includes AI-specific modules such as Generative AI in Product Management, Predictive AI, and Agent-driven Automation, covering skills like prompt engineering, model selection, fine-tuning, AI agent workflows, and no-code prototyping.
The course is delivered in a blended format with live online practitioner-led classes and recorded materials. Templates, tools, case studies, and discussion forums. The mini-projects & capstone project provides hands-on experience with mentor feedback.
The most important skills you need to be an AIPM include prompt engineering, AI agent design, model experimentation, data ethics, and cross-functional communication.
AI in product development helps optimise decisions, automate workflows, and create intelligent features, enabling faster innovation and improved user experiences.
AI can be used for product strategy by aligning model performance, feasibility, and user value with product roadmaps and experimentation.
The average AI product manager salary in India ranges from ₹20 LPA for early-career professionals to ₹45+ LPA for mid to senior-level roles. Globally, AI product managers earn between $130,000 – $200,000 per year, with higher packages in tech hubs like the US, UK, and Singapore.