[SYSTEM_INIT] Live 60-Hour Engineering Program
Stop Writing Prompts Start Building Real AI Systems That Run Businesses
From ChatGPT user to AI engineer — master RAG and Vector Databases, then ship autonomous agents that sell, take orders, and run real workflows.
[COURSE_PREVIEW]
How You'll Learn
One arc, three stages — from mental model to shipped software.
00:15
[Preview Rendering]
The Learning Methodology
LLM foundations, real-world techniques, and hands-on app-building practice — in that order.
[Phase 1]
The Brain
20 Hours
- Ground LLMs on private business data — zero hallucinations.
- RAG, embeddings, and vector databases, hands-on.
[Outcome]
A system that reads any business's data and answers with 100% accuracy.
[Phase 2]
The Toolkit
20 Hours
- Give LLMs real execution power, not just answers.
- Custom tools, CRM integrations, WhatsApp and SMS APIs.
[Outcome]
Autonomous systems that decide and execute without human intervention.
[Phase 3]
The Build
20 Hours
- Take a project from spec to a shipped, working product.
- Real deadlines, code review, and production debugging — not toy exercises.
[Outcome]
A shipped product in your portfolio — proof you can build for real clients.
Portfolio-Ready Capstones
Don't just graduate with a certificate — graduate with working software you can sell directly to clients.
The Autonomous AI Sales Representative
An AI agent that qualifies leads, handles objections, and books meetings on its own — CRM included.
Multi-Channel Restaurant Ordering Engine
A WhatsApp bot that takes custom orders, reads the live menu, and pushes structured JSON straight to the kitchen POS.
Is This Program Right for You?
You're in the right place if you're a:
[Candidate_Profiles]
Software Developer
Looking to grow your tech stack and break into AI Engineering the right way.
Freelancer or Agency Owner
Looking to sell high-ticket AI automation services ($1,000–$5,000+) to businesses.
IT / Computer Science Student
Looking to get ahead of the market with real, applied skills you won't find in university.
[Prerequisites]
- Basic programming knowledge (Python or JavaScript/TypeScript).
- Basic understanding of working with APIs (REST, JSON).
No prior Machine Learning or Data Science background required.
Stop prompting. Start shipping.
Small cohort, live builds, client-ready systems — seats go fast.
Join us now[FAQ]
Straightforward FAQ
5-hour courses teach prompt tricks. Engineering reliable AI systems requires mastering APIs, Vector DBs, and state management. Real skills take time.
[Apply]
Ready to Become an AI Automation Engineer?
Spots are strictly limited to ensure direct interaction and code reviews.
2 000 DZD upfront reserves your seat.