5-Day AI Product Manager Bootcamp and Certification
Vivian Aranha
Founder & AI Instructor at School of AI
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3 people enrolled last week.
Build & Launch AI Products: The 5-Day AI Product Manager Bootcamp
Learn on your schedule with this self-paced course featuring pre-recorded sessions. Enjoy lifetime access, so you can revisit and reinforce your learning whenever needed.
Artificial Intelligence is transforming how products are built, but most product management frameworks were designed for traditional software. AI systems behave differently. They are probabilistic, data-dependent, and constantly evolving. As a result, many AI initiatives fail—not because the models are weak, but because the product strategy is flawed.
Product managers are now responsible for decisions about data, models, cost, risk, user trust, and system behavior. Yet very few PMs have been trained to lead AI product development effectively.
This 5-Day AI Product Manager Bootcamp teaches the practical frameworks needed to take an AI product from idea to production-ready strategy. Instead of focusing on machine learning theory, the course focuses on real product leadership challenges: validating AI opportunities, evaluating data and model feasibility, designing trustworthy AI user experiences, defining metrics and guardrails, and scaling AI products responsibly.
What you’ll learn
Learn to design, validate, & launch AI products—from idea & feasibility to UX, metrics, risk management, & production AI product strategy.
Analyze AI use cases using capability vs value mapping
Deconstruct real AI products to understand user promise and risk
Identify when AI is truly needed vs traditional software
Apply the AI Feasibility Canvas framework
Identify required datasets and model approaches
Estimate token, inference, and infrastructure costs
Design happy-path and failure-aware AI workflows
Implement human-in-the-loop decision points
Define prompts and interaction patterns for AI systems
Design model-level and product-level metrics
Understand offline vs online AI evaluation
Build monitoring systems for AI performance
Assess bias, hallucination, and compliance risks
Define guardrails and rollback strategies
Design AI governance into product architecture
Design a 90-day AI product roadmap
Align engineering, data, and product teams
Present a complete AI product plan to stakeholders
Learn directly from Vivian
Vivian Aranha
AI architect with 2.2M+ learners, building enterprise-grade agentic systems
Who this course is for
AI Product Managers & Product Owners
PMs responsible for defining, launching, or scaling AI-driven features and products.Engineers Transitioning into Product Leadership
Technical professionals who want to move into AI product strategy and decision-making roles.Startup Founders & Business Leaders
Leaders evaluating AI opportunities and building AI-powered products or platforms.
What's included
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.
PM-First Approach to AI Products
This course focuses on product strategy, not machine learning theory—helping PMs lead AI initiatives confidently.
Build a Real AI Product Plan
Participants design a full AI product plan including feasibility analysis, UX design, metrics, and execution roadmap.
Enterprise-Ready AI Thinking
Learn how to manage cost, reliability, risk, and compliance in real-world AI systems.
Hands-On Frameworks & Templates
Use practical tools like the AI Feasibility Canvas, AI UX Flow Spec, and AI Metrics & Risk Plan.
Designed for Modern AI Systems
Covers LLMs, AI agents, retrieval systems, and production AI product architectures.
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
31 lessons • 5 projects
Week 1
Day 1 — AI Product Foundations
Day 2 — Data, Models & Feasibility
Day 3 — Designing AI User Experience
Week 2
Day 4 — Metrics, Evaluation & Risk
Day 5 — Shipping, Scaling & Storytelling
Schedule
Projects
5-7 hrs
Async content
7-10 hrs
Frequently asked questions
$20
USD
2 days left to enroll