Big Picture — Why this course
Why this course (for PMs, founders, and product-minded builders)
The roadmap never slows down. Dev queues are real. This bootcamp lets you own the first mile: build credible AI prototypes yourself, validate faster, and walk into meetings with working demos — not just PRDs.
Over one focused month you’ll tour the AI-product toolchain, learn prompt-to-prototype workflows, and slot the right tools into a repeatable playbook:
✅ Lovable to go from concept → UI → working app (fast)
✅ Supabase for auth, Postgres, tables & row-level security
✅ n8n (and Make/Zapier) for automated back-office & product ops
✅ Cursor as your pair-programmer for code, tests, refactors
✅ Embeddings & vector search for RAG-style features
✅ Vercel/Render/HF Spaces to share demos with stakeholders
✅ Stripe (test) for pricing experiments and gated access
✅ GA4/Amplitude events for usage signals & product loops
Each live session is practical, paced for product people, and ends with something shipped. Miss a session? You get lifetime access to recordings and materials.
What you’ll learn
Own the first mile — prototype real AI features using Lovable, Supabase, vector search, and n8n. No dev queues, just shipped demos.
Learn a fast prompt → UI → working app workflow using Lovable, enabling you to test concepts in hours, not weeks.
Use Supabase for real-world scaffolding: auth, Postgres tables, RLS, and product-ready data layers.
Automate product ops (notifications, async workflows, enrichment) using n8n.
Understand when to use embeddings, similarity search, and RAG-patterns for product use cases.
Build a working feature (search, Q&A, personalization, recommendations) using vector DBs.
Learn prompt engineering patterns for retrieval, grounding, and controlled generation.
Collaborate with Cursor as a pair-programmer to write, fix, and optimize production-quality code.
Generate tests, refactor components, and safely iterate without deep engineering expertise.
Understand common AI app structures so you can modify demos with confidence.
Deploy working prototypes to Vercel / Render / HuggingFace Spaces for stakeholder reviews.
Use Stripe (test mode) for pricing tests, gated access, and early monetization experiments.
Set up GA4 / Amplitude events to track usage, funnels, and signals that validate your features.
Use PM-ready frameworks: AI PRD, feature canvases, prompt patterns, schema blueprints.
Apply “choose-your-path” workflows for technical or no-code approaches.
Build habits for scoping small, shipping fast, and iterating based on real signals.
Learn how to translate product intent into technical steps engineers respect.
Understand the AI-product toolchain end-to-end so you can speak the same language as devs.
Leave with two shipped features, a capstone demo (repo + hosted link), and a certificate proving capability.
Who this course is for
Product Managers/Leads
Who want to ship AI prototypes themselves instead of waiting for engineering cycles.
Founders/Operators
Validating AI features quickly before investing dev time or budget.
Design/UX/Research
Teams who want hands-on AI capability, interactive demos, and faster user-testing.
Prerequisites
Basic familiarity with digital tools
✅ Comfortable with basic web tools (Notion, Figma, etc.)
Curiosity to build and experiment
✅ Eager to explore AI tools and turn ideas into real demos — no prior experience needed.
Optional coding awareness
✅ Light familiarity with Python or JavaScript helps, but all key snippets and templates are provided.
What's included
Live sessions
Learn directly from Aki Wijesundara, PhD & Manu Jayawardana in a real-time, interactive format.
Lifetime access
Access all recordings, repos, and templates anytime — revisit materials as you continue building.
Community of PMs & builders
Join a network of product-minded peers to collaborate, share insights, and stay accountable.
Certificate of completion
Earn the “AI Builder Bootcamp for Product People” certificate to showcase your new skills.
Tool credits & starter kits
Get curated starter kits and tool credits (where available) to speed up your builds.
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
4 live sessions • 14 lessons • 4 projects
Week 1
Week 1 — From Prompt to Prototype (Lovable + Cursor)
Dec
4
Week 1
Week 2
Week 2 — Data Layer & Automations (Supabase + n8n)
Dec
11
Week 2
Schedule
Live sessions
1 hr / week
Join interactive, hands-on workshops where we prototype AI features together in real time. Each session walks you through practical workflows, answers your questions, and ends with something shipped - a demo, feature, or working component you can use immediately.
Thu, Dec 4
6:00 PM—7:00 PM (UTC)
Thu, Dec 11
6:00 PM—7:00 PM (UTC)
Thu, Dec 18
6:00 PM—7:00 PM (UTC)
Thu, Dec 25
6:00 PM—7:00 PM (UTC)
Projects
1 hr / week
Apply what you learn each week by building small, focused AI features. These projects help you practice workflows, test ideas, and turn concepts into real demos you can share.
Async content
2 hrs / week
Watch bite-sized lessons, follow guided builds, and review templates at your own pace. Designed to help you deepen your understanding between live sessions.
Who You'll Be Learning From
Learn from Aki & Manu. Previous students are from top companies like Google, Meta & OpenAI.
Here’s what our cohort members are saying
The AI Internship Testimonials - Jul ‘25 Cohort
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