For Engineers · Ages 18–26

AI Engineer
Deep Dive

Full-stack AI engineering: Python, LLMs, RAG systems, multi-agent architectures, and production deployment. Build AI SaaS products from scratch.

What You Will Build

Production-ready AI Applications

Autonomous AI Agents with memory and planning

RAG (Retrieval Augmented Generation) Systems

Multi-Agent Systems with supervisor architecture

LLM Workflow automation pipelines

Deployed AI SaaS Products on the cloud

Program Phases

Phase 01
AI Foundations
  • Python for AI
  • APIs & Data Processing
  • ML Concepts
Phase 02
Generative AI
  • LLM Architecture & Transformers
  • Embeddings & Vector Databases
  • RAG System Design
Phase 03
Agent Engineering
  • Agent Design & Architecture
  • Memory & Planning
  • Tool Calling & Function Use
Phase 04
Multi-Agent Systems
  • Supervisor & Worker Agents
  • Task Routing
  • Agent Communication Protocols
Phase 05
Deployment & Production
  • Docker & Containerization
  • Cloud Deployment
  • Monitoring & Observability
  • Security Best Practices

Capstone Projects

HR AI Agent
Sales AI Agent
Customer Support Agent