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International Certificate in AI Product Management
Become an AI VALUE CREATOR. Stay Ahead of the Curve With Prompt Engineering Agent Workflows Designing AI-powered features Model Experimentation 10+ skills
This course is popular
8 people enrolled last week.
Faculty & Mentors
SaiSatish Vedam
Oracle
Chandrashekar Ramamurthy
Native AI
Pradeepta Mishra
Fostor
Mandar Tengse
Oracle
Cohorts From
Course overview
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.
Topics covered 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.
Prioritize AI initiatives based on ROI, feasibility, and user impact.
Incorporate generative or predictive capabilities into product roadmaps seamlessly.
Articulate AI’s value proposition to both leadership and cross-functional teams.
Solid grasp on how Large Language Models work, understanding how to craft & optimize prompts with Prompt Engineering techniques
Ability to grasp the underlying principles of various AI models with Machine Learning foundations
Good grasp on AI Model lifecycle ensure successful productization of AI solutions with with Model Selection, Synthetic data generation, Fine-tuning, Model Deployment, Monitoring
Prototyping & PoCs for validating ideas and demonstrating value with No-Code prototyping tools & Vibe Coding
Hands-on experience in AI Agent Workflows & automation technologies
Who is this AI Product Management Certification for?
Product Managers interesting 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 that 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.
What you’ll get out of this program
Apply
how AI can be leveraged to optimize product management workflows, from ideation to launch.
Evaluate and prioritize
high impact AI-appropriate use cases for the business
Design
AI-enhanced features or product roadmaps that align with strategic business goals and user needs.
Implement
best practices for data governance, ethical considerations, and stakeholder collaboration in AI-driven projects.
Demonstrate
effective leadership in driving AI product initiatives, including communication with cross-functional teams and stakeholders.
This course includes
90+ Hours of Learning, Case Studies, Projects Based Learning
Live Presentations & Demos by participants
Guidebooks, Templates & Toolkits
Profile building workshops & Mock Interviews with Product Experts
Curated Online Library of resources
Access to online portfolio builder and hosting tool to showcase and share your product portfolio
Access to live class recordings for future review
Skill Hackathons to showcase portfolio
AI sprints for collaborative learning and skill development with AI tools
3 Course Completion certificates + Globally Recognized Program Certificate
12 Weeks (3 months)
Access to Digital Resources
Weekly Sessions
Plus mini-projects, Capstone
March 15, 2025
Next Cohort Starts
Syllabus
Best-in-class curriculum by AI practitioners and industry leaders in the form of videos, cases and projects, assignments and live sessions
AIPM401F: AI for Product Managers
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.
AIPM402F: AI in Product Management
Incorporate AI-driven features and capabilities in existing products
This course emphasizes the integration of 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.
- Evaluating market needs and identifying product gaps suitable for AI augmentation.
- Validating business cases for incorporating AI-powered features through structured AI Product Strategy.
- Developing strategic frameworks and actionable plans for successful AI integration.
- User-centric ideation and defining practical use cases.
- Mapping generative AI capabilities to tangible user benefits.
- Ensuring alignment with overarching business impacts and objectives.
- Assessing technical complexity and resource requirements, including data infrastructure and model specifications.
- Employing rapid prototyping and proof of concept testing for validating AI-driven assumptions.
- Developing contingency plans for risk mitigation.
- Crafting intuitive user flows and ensuring seamless AI-driven interactions.
- Leveraging Generative AI for rapid prototype development.
- Utilizing performance metrics to guide feature enhancements and product lifecycle management.
- Addressing risks related to AI bias or misuse through ethical considerations.
- Implementing oversight measures for responsible AI in Product Lifecycle Management.
AIPM403F: Al Product Management
Managing an AI-first or AI-centric product from concept to deployment
- Establishing foundational skills in managing data types, formats, and preprocessing requirements.
- Using synthetic data generation techniques to address privacy concerns or supplement limited datasets within AI Product Management.
- Collaborating effectively with data teams to manage data quality and bias.
- Gaining knowledge of core machine learning concepts, including supervised, unsupervised, and generative models relevant to AI-Driven Product Innovation.
- Evaluating AI models through common metrics to assess viability and improve outcomes.
- Iteratively adjusting models through practices such as hyperparameter tuning for enhanced performance.
- Coordinating efforts with Data Science, Engineering, Legal, and Compliance teams for responsible data governance.
- Managing data pipelines and model training processes strategically within AI in Product Lifecycle Management frameworks.
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
Typical Learning Path for this Course
Weekly Faculty Sessions
Assignments
Capstone Project
Certificate
What Learners say about their AI Product Management Certification Journey
Parimal Joshi
Attended an excellent session on solution prototyping using possible and relevant AI and ML tools and models based on problem statements by taking user inputs and creating an RAG model. It was very educative and engaging.
Deepa Bansi
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.
Amith SN
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.
Subhash Dharade
It was a good learning experience from an Industry expert, and it helps to implement at work.
Saurav Ahlawat
Thank you for the insightful session, the speaker’s expertise and clear explanations made complex concepts much easier to understand.
Shweta Mishra
It was a very informative session and very useful, thanks.
Mcondzisi Nxumalo
The instructor displayed exceptional real world expertise in product management. Well explained examples.
Frequently Asked Questions (FAQs)
The Certified Associate Product Manager program is a comprehensive training course designed to equip individuals with the skills and knowledge required to excel as an Associate Product Manager.
The Certified Associate Product Manager (CAPM) Program is for aspiring product managers from any background. If you are a Fresher who wants to make a career in the product then this program is for you to land your first Product Management job.
The program encompasses key subjects such as Product Management Fundamentals, Product Design, Agile Product Management, strategies for Go-to-Market, and creating Data-Driven Products.
The CAPM program spans 3 months and includes three courses, three capstone projects, weekly faculty-led live sessions, and provides unlimited personalized mentorship and career coaching.
The program offers live sessions with faculty, monthly skill hackathons, and presentations. It includes comprehensive learning resources like case studies and simulations, along with personalized feedback and placement assistance. Participants also receive career management resources, preparation for global certifications such as CPM and CPO, and 6 months of access to an alumni network and career club.
There are no specific prerequisites for the CAPM program.