★★★★★
"The structure, the practice exams, the instructor — all top tier. Passed first try."
AS
Aarti SharmaSenior Project Manager · TCS
— The journey
Course Outline
What the programme covers, module by module.
Module 1: Introduction to AI Product Management
- AI product fundamentals
- Product Manager responsibilities
- AI product lifecycle
- AI market landscape
- Business value of AI
Module 2: AI Fundamentals for Product Managers
- Artificial Intelligence overview
- Machine Learning basics
- Generative AI concepts
- Large Language Models (LLMs)
- AI capabilities and limitations
Module 3: Product Strategy
- Product vision
- Business goals
- Product positioning
- Value proposition
- Product success metrics
Module 4: Customer Research and Discovery
- Customer interviews
- User personas
- Problem identification
- Market research
- Opportunity assessment
Module 5: AI Use Case Identification
- Business use cases
- AI opportunity evaluation
- Feasibility analysis
- Value assessment
- Prioritization techniques
Module 6: Requirements Management
- Functional requirements
- Non-functional requirements
- AI-specific requirements
- Acceptance criteria
- Requirement documentation
Module 7: Product Roadmap Planning
- Product roadmap creation
- Release planning
- Milestone definition
- Feature prioritization
- Strategic planning
Module 8: Agile Product Development
- Agile principles
- Scrum framework
- Sprint planning
- Backlog management
- Cross-functional collaboration
Module 9: Data for AI Products
- Data fundamentals
- Data quality
- Data collection
- Data preparation
- Data governance
Module 10: AI Model Lifecycle
- Model development overview
- Model evaluation
- Model deployment
- Monitoring concepts
- Continuous improvement
Module 11: Generative AI Products
- AI assistants
- Chatbots
- Content generation
- AI-powered search
- Intelligent automation
Module 12: AI Product Design
- User experience (UX)
- Human-centered design
- AI interaction design
- User feedback
- Accessibility considerations
Module 13: AI Ethics and Governance
- Responsible AI
- Fairness
- Transparency
- Privacy
- Risk management
Module 14: AI Product Metrics
- Product KPIs
- User engagement
- Adoption metrics
- Business outcomes
- Product analytics
Module 15: AI Product Launch
- Go-to-market planning
- Product rollout
- Stakeholder communication
- Adoption strategies
- Launch monitoring
Module 16: AI Product Operations
- Incident management
- Performance monitoring
- Customer feedback
- Feature enhancement
- Product maintenance
Module 17: AI Integration
- API integration
- Enterprise systems
- Workflow automation
- Third-party services
- Scalable architecture
Module 18: Product Leadership
- Team collaboration
- Stakeholder management
- Decision-making
- Product communication
- Leadership skills
Module 19: Scaling AI Products
- Growth strategies
- Product optimization
- Multi-market deployment
- Operational efficiency
- Continuous innovation
Module 20: End-to-End AI Product Delivery
- Product planning
- AI solution design
- Development coordination
- Product launch
- Continuous product improvement
— 01.2 · Is it right for you?
Who it's for & what's included
Pick a delivery method to see exactly who it suits and everything you receive.
Who it's for
Classroom
Best for learners who want face-to-face tuition and to network with peers in person.
What's included
Everything you get
- ✓ Live instructor on-site
- ✓ Printed workbook & materials
- ✓ Group exercises & case studies
Who it's for
Online Instructor-Led
Best for learners who want a live instructor and a fixed schedule, without the travel.
What's included
Everything you get
- ✓ Live instructor via video call
- ✓ Digital workbook & resources
- ✓ Session recordings
Who it's for
Self-Paced
Best for self-motivated learners who need maximum flexibility around work and life.
What's included
Everything you get
- ✓ On-demand video lessons
- ✓ Interactive quizzes
- ✓ 24/7 access on any device