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Program overview
Online
On-site
Hybrid
AI Product Management
A practical, end-to-end program designed to help product managers build, scale, and govern AI-powered products. Participants learn how to identify AI opportunities, work with data and ML teams, evaluate AI models in business terms, design ethical and compliant AI products, and take AI features from concept to launch.
Duration:
5 days
Level:
Intermediate
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1500+ users onboarded
Who will Benefit from this Training?
- Product Managers and Product Owners
- Aspiring AI Product Managers
- Business Analysts and Consultants
- Startup Founders and Innovation Leads
- Technical Managers transitioning to product roles
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Training Objectives
- Understand AI fundamentals required for product decision-making.
- Identify high-impact AI use cases using structured discovery frameworks.
- Collaborate effectively with data science, ML, design, and legal teams.
- Evaluate AI models using business-oriented metrics.
- Design ethical, explainable, and compliant AI products.
- Create AI product roadmaps, pricing models, and go-to-market strategies.
Build a high-performing, job-ready tech team.
Personalise your team’s upskilling roadmap and design a befitting, hands-on training program with Uptut
Key training modules
Comprehensive, hands-on modules designed to take you from basics to advanced concepts
- Module 1: AI Foundations and Product Discovery
- Basics of AI and ML for product managers
- Generative AI and large language models
- Product vision, MVP thinking, and roadmap basics
- AI opportunity identification and feasibility assessment
- User research techniques and Jobs-to-be-Done for AI products
- Module 2: AI Product Lifecycle and Workflow
- Stages of AI product development
- Working with data scientists, ML engineers, designers, and legal teams
- Agile and Lean methods adapted for AI uncertainty
- Experimentation, validation, and human-in-the-loop evaluation
- Module 3: Data as the Core of AI Products
- Data collection, labeling, and annotation challenges
- Evaluating data quality and readiness
- Bias, fairness, and ethical risks in datasets
- Module 4: AI and ML Models for Product Managers
- Common AI applications: NLP, computer vision, recommenders
- Generative AI tools such as ChatGPT, Claude, and Gemini
- Model evaluation using business metrics and trade-offs
- Module 5: Responsible AI and Governance
- Ethics, transparency, and accountability in AI products
- Regulatory overview including EU AI Act and GDPR implications
- Building trust and explainability into AI systems
- Module 6: Business Models and Monetization
- Pricing strategies for AI products
- Cost management for training, inference, and data pipelines
- Go-to-market strategies for AI-driven offerings
- Module 7: AI Product Roadmaps and Scaling
- Roadmap planning for AI features
- Scaling from MVP to production systems
- Industry case studies across multiple sectors
- Module 8: Career Practices and Industry Readiness
- Stakeholder communication and AI storytelling
- Interview preparation for AI product roles
- Building a portfolio with AI product case studies
- Capstone: From Concept to Launch
- Problem identification and solution framing
- PRD creation with success metrics
- Ethical risk assessment and business model definition
- Final stakeholder pitch presentation
Hands-on Experience with Tools
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Training Delivery Format
Flexible, comprehensive training designed to fit your schedule and learning preferences
Opt-in Certifications
AWS, Scrum.org, DASA & more
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100% Live
on-site/online training
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Hands-on
Labs and capstone projects
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Lifetime Access
to training material and sessions
Skill-Gap Assessment
Analysing skill gap and assessing business requirements to craft a unique program
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Personalisation
Customising curriculum and projects to prepare your team for challenges within your industry
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Implementation
Supplementing training with consulting support to ensure implementation in real projects
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Why AI Product Management matters
- Reduce product risk: Avoid failed AI initiatives by validating data, models, and use cases early.
- Faster time to value: Apply Agile and Lean methods tailored for AI products.
- Responsible AI adoption: Embed ethics, fairness, and governance into product design.
- Business impact: Align AI capabilities with revenue, cost optimization, and customer value.
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Lead the Digital Landscape with Cutting-Edge Tech and In-House " Techsperts "
Discover the power of digital transformation with train-to-deliver programs from Uptut's experts. Backed by 50,000+ professionals across the world's leading tech innovators.
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Frequently Asked Questions
2. Will my team get any practical experience with this training?
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With our focus on experiential learning, we have made the training as hands-on as possible with assignments, quizzes and capstone projects, and a lab where trainees will learn by doing tasks live.
3. What is your mode of delivery - online or on-site?
We conduct both online and on-site training sessions. You can choose any according to the convenience of your team.
4. Will trainees get certified?
Yes, all trainees will get certificates issued by Uptut under the guidance of industry experts.
5. What do we do if we need further support after the training?
We have an incredible team of mentors that are available for consultations in case your team needs further assistance. Our experienced team of mentors is ready to guide your team and resolve their queries to utilize the training in the best possible way. Just book a consultation to get support.