3-Day AI Product Management Bootcamp
Melina Chen
AI Instructor at School of AI
Vivian Aranha
Founder at School of AI
This course is popular
6 people enrolled last week.
AI Product Management Bootcamp: Design & Launch AI Products
AI is transforming every industry, yet many organizations struggle to turn AI technology into real products that deliver business value. Teams often build impressive models but fail to create products that users trust, adopt, and benefit from.
This AI Product Management Bootcamp teaches you how to bridge the gap between business strategy, machine learning capabilities, and real product design. Instead of focusing only on theory, you will learn how successful AI products are identified, designed, and launched.
You will learn how to identify high-impact AI opportunities, translate business problems into machine learning solutions, design AI-powered user experiences, and define evaluation metrics that measure real product success.
By the end of the bootcamp, you will build a complete AI product plan including architecture, UX design, evaluation metrics, a product roadmap, and risk mitigation strategy.
Whether you are a product manager, startup founder, consultant, or technical professional, this program gives you practical frameworks to design, build, and launch AI-powered products with confidence.
What you’ll learn
Learn how to identify AI opportunities, design AI products, and launch scalable AI solutions that deliver real business value.
Use the AI Opportunity Framework to evaluate use cases
Apply impact vs feasibility analysis to prioritize ideas
Analyze industry case studies across healthcare, retail, and finance
Map problems to classification, prediction, and generation tasks
Assess data availability and feasibility
Write clear AI product problem statements
Design AI product architecture diagrams
Learn the AI application stack
Evaluate build vs buy AI platform decisions
Design AI UX flows with human-in-the-loop systems
Implement confidence indicators and explainability
Design AI interaction patterns
Define model evaluation metrics
Create AI product scorecards
Align AI performance with business KPIs
Create 12-month AI product roadmaps
Design experimentation cycles
Build AI risk and governance frameworks
Who this course is for
Product Managers
PMs who want to learn how to design and launch AI-powered products and lead AI initiatives within their organizations.Startup Founders
Building AI startups who need frameworks for identifying use cases, designing AI solutions, & launching AI products.Engineers Transitioning to Product Roles
ML engineers or developers who want to move into AI product strategy and product leadership roles.
What's included
Live sessions
Learn directly from Melina Chen & Vivian Aranha in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Build a Complete AI Product Plan
Create a full AI product strategy including problem definition, architecture, evaluation metrics, and a roadmap. This becomes a portfolio-ready AI product case study.
Learn the AI Product Lifecycle
Understand how AI products move from opportunity discovery to deployment, including experimentation cycles and iteration strategies.
Design AI Product Architecture
Learn how to structure AI systems across the data layer, model layer, application layer, and user interface.
Hands-On AI Product Workshops
Work through real exercises such as AI opportunity mapping, product architecture design, UX wireframes, and evaluation scorecards.
Responsible AI and Risk Management
Learn how to identify risks such as bias, hallucinations, and privacy concerns and design mitigation strategies.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
Week 1
Day 1: Part 1. What Makes AI Products Different
Day 1: Part 2. AI Product Landscape
Day 1: Part 3. Identifying AI Opportunities
Day 1: Part 4. Problem Framing for AI
Day 1: Part 5. AI Product Discovery Process
Day 1: Hands-On Exercises
Day 2: Part 1. AI Product Architecture
Day 2: Part 2. AI UX Design
Day 2: Part 3. Data Strategy for AI Products
Day 2: Part 4. Evaluation Metrics
Day 2: Part 5. AI Product Prototyping
Day 2: Hands-On Exercises
Day 3: Part 1. Building AI Product Roadmaps
Day 3: Part 2. AI Product Development Process
Day 3: Part 3. AI Governance & Responsible AI
Day 3: Part 4. AI Product Economics
Day 3: Part 5. Launching AI Products
Day 3: Hands-On Exercises
Schedule
Live sessions
1-2 hrs
Projects
12-15 hrs
Async content
8-10 hrs
Frequently asked questions
$19.99
USD