Hands-on · Cohort-based · Onsite · 6 days × 6 hours
Zero to MVP AI Bootcamp
Zero experience → a live AI product → a cloud deployment you shipped yourself. Build one guided MVP from first idea to public launch, adding a working layer every day.
- Day 1 — define one useful MVP
- Day 3 — add the AI feature
- Day 6 — deploy and launch
Learn from someone who builds
Mamdouh El-Nakeeb brings 14+ years of turning ideas into products, teams, and technology companies. His experience spans AI, SaaS, marketplaces, and on-demand delivery, so every lesson comes with a builder's perspective grounded in real launches. He holds an M.Sc. in AI Engineering from Quantic and a B.Sc. in Computer & Systems Engineering from Ain Shams University.
Products brought to life
Zeew.eu
White-label infrastructure that helps businesses launch and operate their own on-demand delivery platforms.
Stunning.so
An AI-native building platform that transforms natural-language ideas into working web applications.
Viajero
A tourism marketplace designed to bring trip discovery, comparison, and booking into one experience.
Snaps AI
Personalized storybooks powered by AI, making every child the hero of their own adventure.
Work history
CTO & Co-Founder
Crete Agency · 2017 - Present
Leading technical teams that turn ambitious ideas into scalable digital products.
Partner
Zeew · 2020 - Present
Shaping the product and technology behind a global delivery SaaS platform.
Partner
Stunning.so · 2023 - Present
Helping make software creation faster and more accessible through AI.
Co-Founder
Snaps AI · 2025 - Present
Building personalized AI experiences for children and families.
Co-Founder
Viajero · 2019
Created a marketplace that made discovering and booking trips simpler.
You leave with a product, not a certificate
In 6 guided days, complete beginners build one product layer by layer until it is working, tested, and deployed.
Live AI MVP
Your product with a working AI feature, on a real URL
Data + login
A real database, authentication, and access rules that don't leak
Payments + automation
A test checkout and one business automation running on its own
Cloud deployment
Docker and HTTPS, deployed to Google Cloud with your own hands
Who it’s for
- Founders validating an idea
- Professionals adding AI to their work
- Freelancers & agency owners
- Complete beginners with ambition
After 6 days you can
- Ship an AI MVP on a real URL
- Wire a database + login safely
- Take a test payment & automate follow-ups
- Deploy a containerized product to Google Cloud
Not yet — and we say so
Debug arbitrary code or build custom backends → that’s our 20-week Builder Track, the next step for the hooked.
Prerequisites
What you need before Day 1
No technical background is required. Day 0 brings complete beginners to the same starting line before the onsite program begins.
No prior experience
- No coding or software engineering background
- No AI or prompt-engineering knowledge
- No database, cloud, Docker, or deployment experience
Bring with you
- A laptop with a modern browser
- Your laptop charger
- Your phone for alerts and verification
Complete Day 0
- Set aside around 3–4 hours at home
- Install the tools and verify the accounts below
- Finish four 15-minute primers
- Choose a service-business theme for the shared MVP
Day 0 setup checklist
Set up your build stack before the first demo
Install each tool, create each account, and confirm you can sign in. We start building on Day 1 instead of spending workshop time on downloads and verification emails.
Install on your laptop
- Claude Code — AI coding partner
- OpenAI Codex — AI coding agent
- VS Code — code editor
- Docker Desktop — local containers
Create and verify accounts
- GitHub — code and deployments
- Google Cloud — hosting, servers, and monitoring
- Supabase — database and authentication
- n8n — business automations
- Stripe — test-mode payments
- Anthropic + OpenAI — Claude and Codex sign-in
Use one email address where possible. Do not share API keys or add them to GitHub, and do not enable paid cloud resources until the guided setup asks you to.
Build first. Own it forever.
Spec
one core loop
Prompt
small asks win
Review
read the result
Iterate
one change at a time
Publish
every single day
Vibe coding gets you to a demo — engineering gets you to production.
6 days, one product, 6 working checkpoints
Day 0 happens at home (~3–4 hours): install Claude Code, Codex, VS Code, and Docker; verify your GitHub, Google Cloud, Supabase, n8n, Stripe, Anthropic, and OpenAI accounts; complete four 15-minute primers; and choose a service-business theme for the shared AI Lead Assistant. Completing it confirms your seat.
Every day, same rhythm:Brief + recap (30 min)Concepts + demos (90 min)Applied workshop (60 min)Breaks (30 min)Build sprint (120 min)Checkpoint + demo (30 min)
Day 1
From real life to software & AI
- Human work → software — translate a manual process into digital parts
- Software foundations — frontend, backend, API, database & cloud
- Brain → modern AI — analogy, history, LLMs, RAG & agents
- Model landscape — providers, model types & selection
- Weekly MVP — map the product and open the starter
You ship: A practical mental model of software and AI, plus a working project shell for the AI Lead Assistant.
Open Day 1 presentationDay 2
Clickable lead experience
- Screen map — only what the shared journey needs
- Lead form — clear questions and useful validation
- Sample result — prove the value before the backend
- Peer test — observe, fix & publish
You ship: A responsive public prototype with a lead form, sample recommendation, and peer-tested journey.
Open Day 2 presentationDay 3
AI qualification
- One AI job — classify the need and recommend next steps
- System prompt — role, rules, structure & limits
- Business knowledge — ground recommendations in services
- Guardrails — handle unclear and off-scope requests
You ship: Live AI lead qualification with structured recommendations and tested guardrails.
Open Day 3 presentationDay 4
Private lead dashboard
- Lead data — save submissions and AI results
- Business login — sign up, sign in & sign out
- Dashboard — review and update saved leads
- Two-account test — prove the privacy, live
You ship: A database-backed lead dashboard with authentication and a passed two-account privacy test.
Open Day 4 presentationDay 5
Workflow & quality
- Test checkout — a real flow with zero real money
- n8n follow-up — notify the business and reply to the lead
- AI evaluation — 10 cases, score & improve
- Monitoring — errors and uptime reach your phone
You ship: An automated lead journey with test checkout, measured AI quality, and live alerts.
Open Day 5 presentationDay 6
Deploy, demo & launch
- Docker + Google Cloud — package and run the product
- HTTPS + recovery — secure it, break it & restore it
- Launch checklist — prove the core journey works
- Demo + launch — show it clearly and publish
You ship: The complete AI Lead Assistant live over HTTPS with a rehearsed demo and public launch.
Open Day 6 presentationDay 1 in detail
Start with real life, then understand the software and AI
From business workflow to software
Use a familiar lead-qualification workflow to see how software turns human handoffs, decisions, records, and messages into a scalable system.
How software works
Follow one button click through the complete software system and back to the visitor.
Your brain and an AI model
Use the brain as a learning analogy while making the differences between human intelligence and AI explicit.
From early AI to LLMs
Travel from hand-written rules to machine learning, neural networks, transformers, and today's generative models.
LLMs, RAG, tools, and agents
Separate the model from the surrounding system and choose the smallest pattern that can complete the job.
Choose the right AI model
Compare model types, commercial providers, and open-weight families without assuming one model is best at everything.
One MVP. 6 daily upgrades.
The whole cohort builds one shared reference product: a AI Lead Assistant for a service business. You can adapt the industry, brand, questions, and recommendations while following the same proven architecture and instructor-led steps.
Day 1
From real life to software & AI
A practical mental model of software and AI, plus a working project shell for the AI Lead Assistant.
Day 2
Clickable lead experience
A responsive public prototype with a lead form, sample recommendation, and peer-tested journey.
Day 3
AI qualification
Live AI lead qualification with structured recommendations and tested guardrails.
Day 4
Private lead dashboard
A database-backed lead dashboard with authentication and a passed two-account privacy test.
Day 5
Workflow & quality
An automated lead journey with test checkout, measured AI quality, and live alerts.
Day 6
Deploy, demo & launch
The complete AI Lead Assistant live over HTTPS with a rehearsed demo and public launch.
Nobody starts over each day. Every lesson is applied immediately to the same product, and every checkpoint leaves a working recovery version before the next layer is added.
No launch without the 8-point check
- No API keys visible anywhere
- Login guards all user data — proven with two accounts
- Payments in test mode, clearly labeled
- The AI feature declines off-scope requests
- 10-case eval run, top failure fixed
- Uptime & error alerts reach your phone
- Public HTTPS URL + rollback verified
- A one-page README
FAQ
No. The program is designed for complete beginners; Day 0's prework and the four 15-minute primers bring everyone to the same starting line.
No. Day 1 explains the product and AI basics in plain English, and the instructor demonstrates every new step before you apply it. Day 3 then adds one focused AI job to the product you already understand.
No. The cohort builds one shared reference product — an AI Lead Assistant — over all six days. You can adapt the business type, brand, questions, and recommendations, while the instructor guides everyone through the same architecture and recovery checkpoints.
No. Vibe coding gets you a demo; this bootcamp runs the same Spec → Prompt → Review → Iterate → Publish loop every day, so you always read, test, and own what the AI generates — the engineering habits that get you to something that actually works.
You'll learn how LLMs actually work — tokens, context, and why they hallucinate — write your own system prompt, and run a 10-case eval sheet to test and improve it. You leave able to explain exactly what your AI feature does and doesn't do.
Bring a laptop with Claude Code, Codex, VS Code, and Docker installed, plus its charger and your phone. Before Day 1, verify your GitHub, Google Cloud, Supabase, n8n, Stripe, Anthropic, and OpenAI accounts. The workshop provides AI credits.
This is an onsite, instructor-led bootcamp. Each step is demonstrated before you apply it, instructors help with setup and troubleshooting, and every day has a working recovery checkpoint so nobody needs to start over.
It runs in test mode: the full, real checkout experience with zero real money moving.
Every day ends with a ship.
Day 6 ends with your launch.
Next cohort forming.