From generative foundations to agentic systems.
A clear foundation in generative AI, plus the advanced agentic skills to build systems that act on their own. Hands-on projects, real code, no fluff.
The generative AI foundation
- ▪LLM fundamentals and architecture
- ▪Prompt engineering and optimization
- ▪Building AI agents from scratch
- ▪Multi-agent systems and coordination
Systems that act on their own
- ▪RAG (Retrieval-Augmented Generation)
- ▪Fine-tuning open-source models
- ▪Deploying AI agents as APIs
- ▪Enterprise AI automation workflows
The stack you’ll master.
The same modern AI tools and frameworks used by developers, startups, and product teams building real AI applications.
Built for people moving with AI, not watching it.
Basic Python is recommended – and we teach you the rest. If you’re ready to learn, this track is a strong, practical starting point.
Python beginners
Basic Python is recommended – and we teach you the rest from the ground up.
Software developers
Already build software? Add the ability to make it intelligent and autonomous.
Fresh graduates
Especially from computer science or related fields looking for an edge.
Career changers
Ready to move into one of the hottest, fastest-growing fields in tech.
Learn by building things people pay for.
This track is built around projects that teach you by doing – and create a portfolio employers can actually review. Every project goes straight to your GitHub.
AI Chatbot with Memory
Build a customer-support chatbot that remembers conversations and answers from your own knowledge base using RAG and a vector database.
Multi-Agent Research System
Create a team of AI agents that collaborate – one researches, one analyzes, one writes the report – completing a complex task from a single input.
Automated Social Media Agent
Build an AI agent that writes, schedules, and posts content across platforms, fully automated from a prompt.