Space 2.0
Generative AI
A high-performance, 8-week cohort designed for engineers to master the AI-First methodology and build production-grade applications.
Schedule
Wed (Theory) & Sat (Practicals)
Environment
VS Code + WSL (Ubuntu)
Repositories
GitHub Classroom
Building the JD-to-Resume Matcher
Our core project focus is a professional-grade recruitment tool. You won't just learn concepts; you'll build an end-to-end system that handles complex document parsing, vector-based retrieval, and multi-turn AI reasoning.
The Roadmap to AI Engineering
- Why Generative AI Application Engineering? (vs Prompt Engineering)
- The AI-First Methodology
- Core components of an AI application
- Setting expectations and program goals
The Tools of the Trade
Python
Language
VS Code
IDE
Gemini
AI Model
Cline
AI Assistant
ChromaDB
Database
PostgreSQL
Database
GitHub
Version Control
Ollama
Local AI
Flask
Framework
FastAPI
Framework
Crucial Program Details
Hardware
A decent laptop (Min 16GB RAM) capable of running WSL2 (Ubuntu) or macOS is essential.
Methodology
This is an AI-First cohort. You will utilize Gemini, Cline, and other assistants to accelerate development.
Next Intake: Open Now
Master AI Engineering.
Join the Space 2.0 cohort and learn to build applications at the speed of thought.