Bootcamp
From Idea to Scalable Product
Master building AI-first products in 4 intensive modules—from validating your idea to launching a production-ready, scalable system.
Why We’re Different
Most online courses teach what worked once.
This bootcamp works on what you’re facing right now.
Every cohort is different.
Every product is different.
So the teaching adapts—based on real requests, real code, and real decisions.
From Idea to Business
Decide what to build and why
1,500,000 VND/ $60
Cohort size: 5-10 people
Focus
🎯 Deliverable
A Full Pitch Deck for Your Startup Idea
- • Clear problem statement grounded in real customer pain
- • Compelling solution narrative tied to your core system
- • Market sizing (TAM / SAM / SOM) with explicit assumptions
- • Competitive landscape and your differentiation
- • Business model and pricing logic
- • Go-to-market strategy for early traction
- • Product roadmap focused on learning, not features
Not a vanity deck.
A deck you can use with partners, early customers, or investors.
Building a Conversion-Ready Landing Page with AI
- • One focused value proposition
- • Problem → solution → outcome messaging
- • Clear call-to-action (waitlist, demo, or signup)
- • Copy written for B2B buyers, not hobby users
Built to:
- • Test demand
- • Start real conversations
- • Collect early signals
A Lightweight CRM for Idea Validation
- • You will ship a working internal tool to:
- • Track leads and conversations
- • Record objections and patterns
- • Score demand quality
- • See what actually resonates
This is how founders learn what to build next.
A Clear Go / No-Go Decision
- • By the end of Module 1, you will know:
- • If this idea is worth building
- • What to cut immediately
- • What your MVP actually needs (and doesn’t)
No guessing.
No “I think users might…”.
Create your own simple CRM with AI Automation and Google Sheet
Validate your idea step by step with the Lean Canvas.
Put yourself in a startup’s shoes and build a full pitch deck for investors.
Build your own landing page with AI — fast and simple.
👉 Who's It For?
Best fit:
- • Non-technical or semi-technical founders
- • First-time founders with ideas but no clarity
- • Business people with tech ideas
- • Operators / consultants wanting to productize knowledge
- • PMs / POs exploring their own product
- • Indie founders stuck at idea stage
Also great for:
- • Developers who build cool things but never ship
- • Engineers thinking of starting a startup
- • Tech leads considering side projects
- • AI builders with no go-to-market sense
Build & Ship MVP (Everyone can Code)
Turn idea into a real thing
2,500,000 VND/ $100
Cohort size: 5-7 people
Focus
🎯 Deliverable
A Working MVP Users Can Actually Try
- • A real, deployed product — not a prototype
- • One core user flow implemented end-to-end
- • Backend, frontend, and AI connected
- • Built fast, but built intentionally
Not demos.
Not screenshots.
Something users can click, use, and react to.
A Clean Core System You Understand
- • Clear boundaries between business logic, AI logic, data, and UI
- • Readable, explainable code
- • No black boxes you can’t modify
If the AI disappeared tomorrow, you’d still understand your product.
A Shipped Product (Not “Almost Done”)
- • Live URL
- • Real users invited
- • First interactions observed
Shipped means someone outside your team can use it.
Feedback is coming from reality, not imagination.
A Clear MVP → Product Direction
- • What must be fixed next
- • What features to delay
- • What parts of the system are fragile
- • What parts already work
You leave Module 2 knowing what to improve and what to ignore.
Module 3 focus becomes obvious.
Learn to create any webapp, mobile app MVP with AI, Python, Nextjs, MongoDB, Expo
Learn to use AI for coding the right way — correctly, efficiently, and intelligently.
Learn the basics of system design so you can properly guide your AI IDE.
👉 Who's It For?
Best fit:
- • Founders with a validated idea ready to build
- • Non-technical or semi-technical founders working with AI-assisted development
- • Indie founders who want to ship their first real MVP
- • PMs / POs building a product themselves for the first time
- • Business builders turning concepts into usable software
Also great for:
- • Developers who build demos but struggle to finish products
- • Engineers exploring MVP-first startup building
- • AI builders learning how to integrate AI into real products
- • Tech leads experimenting with fast MVPs and side projects
- • Senior college students already building and shipping projects
from MVP to Production
Make it stable & production-ready
3,000,000 VND/ $150
Cohort size: 5-7 people
Focus
🎯 Deliverable
A Production-Ready Product Structure
- • Clear separation of domain logic, infrastructure, and integrations
- • Well-defined core domains (shipments, tracking events, users, integrations)
- • Folder and service structure that scales without microservices
This is no longer “app code”.
It is a product you can evolve safely.
A Reliable & Trustworthy Data Model
- • Shipment lifecycle modeled as a clear state machine
- • Idempotent operations that survive retries
- • Event history, audit logs, and soft deletes implemented
Data does not corrupt itself under real usage.
Failures do not silently destroy trust.
A Fully Dockerized System
- • Backend, frontend, and workers containerized correctly
- • Clear local vs production configuration
- • Secrets handled without overengineering
Runs the same on every machine.
No “works on my laptop” problems.
A Boring, Reliable CI/CD Pipeline
- • Minimal pipeline: lint, test, build, deploy
- • Clean Git workflow for small teams
- • Controlled deployment strategy (not auto-deploy everywhere)
Shipping becomes routine, not stressful.
Deployments stop being scary.
Real Logs & Monitoring You Can Use
- • Structured logs instead of console.log
- • Request tracing with request IDs
- • Business-level events logged alongside technical errors
You can answer “what just broke, and why?”
Production is observable, not a black box.
Failure-Resilient System Behavior
- • Retry logic and timeouts for external dependencies
- • Explicit failure states and recovery paths
- • Graceful degradation instead of crashes
The system bends instead of breaking.
Failures are expected, not surprising.
Automated Business Operations
- • Automated status updates and notifications
- • Internal admin tools for operations
- • Reports and alerts that reduce manual work
The product can be run by a small team.
Automation supports people, not replaces thinking.
Learn how to use Docker to containerize your app.
Learn how to build CI/CD pipelines using GitHub Actions and Docker.
Learn modern log monitoring tools and practices.
👉 Who's It For?
Best fit:
- • Founders with an MVP that needs structure
- • Tech leads preparing for production scale
- • Builders whose MVP works but feels fragile
- • Indie founders preparing for real customers or paid pilots
Also great for:
- • Technical PMs / builders who want to understand production reality
- • Engineers moving from prototype to product
- • Startups preparing for paying customers
Scale & Business Trade-off
Grow without breaking
3,000,000 VND/ $150
Cohort size: 5-7 people
Focus
🎯 Deliverable
A Transaction-Safe Core System
- • Wallet and payment flows modeled as immutable ledger entries
- • Clear separation between balance views and source-of-truth records
- • Idempotent transaction APIs that survive retries and duplication
Money never disappears or duplicates.
Correctness is enforced by design, not hope.
A Business-Meaningful Event Model
- • Events represent real business facts, not technical side effects
- • Clear ownership of event producers and consumers
- • Explicit event versioning and compatibility strategy
Events explain what happened, not just that something ran.
Systems can evolve without breaking downstream consumers.
An Event-Driven Workflow Architecture
- • Asynchronous workflows built using events and consumers
- • Retry, replay, and dead-letter handling designed upfront
- • Backpressure and consumer lag handled intentionally
Workflows continue even when parts of the system fail.
Failures are isolated instead of cascading.
Failure-Aware System Behavior
- • Duplicate events and out-of-order messages handled safely
- • Timeouts, retries, and circuit breakers applied selectively
- • Human-debuggable failure states and alerts
The system fails loudly and clearly.
Operators know what to do when things go wrong.
Scalable System Boundaries & Ownership
- • Clear boundaries between services and responsibilities
- • Scaling decisions based on business load, not hype
- • Explicit contracts between components
Scaling is predictable, not reactive.
System growth does not create chaos.
Business-Aware Scaling Tradeoffs
- • When to prioritize correctness over speed
- • When to accept risk to unlock growth
- • Cost, latency, and reliability tradeoffs documented clearly
Engineering decisions align with business reality.
Tradeoffs are intentional and defensible.
Learn real-world use cases — for example, modeling wallet and payment flows as immutable ledger entries.
Learn how modern logistics platforms use distributed systems to handle real-time tracking, multiple vendors, many drivers, and thousands of customer requests at the same time — across different locations.
Learn how to scale distributed systems with real-world tools like Kafka.
Learn how real teams navigate business and technical trade-offs.
👉 Who's It For?
Best fit:
- • Founders running products with real users and real money
- • Technical founders responsible for system correctness
- • Senior engineers owning critical systems (payments, workflows, data)
- • Tech leads designing systems beyond a single service
- • Builders preparing their product for serious growth
Also great for:
- • Product engineers moving into system-level ownership
- • Developers transitioning from features to architecture
- • Engineers curious about distributed systems in practice
- • Technical PMs who want to reason about system tradeoffs
- • Experienced builders planning high-stakes side projects
Send your bootcamp request
Tell us which module you want to join, and we'll reach out with next steps.
Resources Included in All Courses
Get access to production-grade tools and APIs to build real applications during the bootcamp.
Virtual Machine
Pre-configured dev environment
Database Instance
PostgreSQL & MongoDB access
OpenAI API
GPT access for AI features
Speech-to-Text API
Audio transcription service
Text-to-Speech API
Natural voice synthesis
Speech Validation API
Accent & pronunciation checking
... and more tools to support your learning journey
Timeline
4 modules • ~7-10 days each • Flexible pacing
Format
Live sessions • Hands-on projects • 1:1 support
Investment
$60-150/module • Full curriculum access