Generative AI – from the ground up.
Not a little of everything – enough of everything to build something real, end to end, on your own.
- ▪Prompt Engineering (Advanced) – Master zero-shot, few-shot, chain-of-thought, and role-based prompting techniques that consistently produce high-quality outputs from any LLM.
- ▪LLM Architecture & Fine-Tuning – Understand how models like GPT, Claude, and LLaMA work. Fine-tune open-source models for custom use cases
- ▪RAG (Retrieval-Augmented Generation) – Build systems that connect LLMs to external knowledge bases for accurate, up-to-date responses
- ▪Vector Databases & Embeddings – Work with Pinecone, Chroma, and Weaviate to store and retrieve semantic information Column 2:
- ▪Multi-Agent Systems – Build teams of AI agents that collaborate, delegate tasks, and solve complex problems together
- ▪LangChain & CrewAI – Master the leading frameworks for building agentic workflows
- ▪AI Agent Deployment – Deploy agents as APIs, chatbots, or automated workflows using FastAPI and Streamlit
- ▪Enterprise AI Automation – Build AI systems that automate business processes, research, and decision-making
The exact stack teams hire for.
These aren’t academic exercises – every tool here shows up in real job descriptions, used daily by professionals around the world.
Everything you learn, you build.
Every major concept ends with something you actually built – documented and portfolio-ready, exactly what employers and clients want to see.
Custom AI Chatbot with RAG
Build a chatbot that answers questions from your own PDF documents, website content, or knowledge base using LangChain and a vector database.
AI Content Generation Pipeline
Automate the creation of blog posts, social media captions, product descriptions, and email campaigns using GPT-4 and custom prompts.
Multi-Agent AI System
Build a team of AI agents that collaborate – one researches, one writes, one reviews – completing a complex task from a single input.
LLM Fine-Tuned on Custom Data
Fine-tune an open-source model on a domain-specific dataset and deploy it as a private, specialized AI assistant.
Text-to-Image Generation App
Build an application that takes user text prompts and generates custom images using Stable Diffusion or DALL·E via API.
AI-Powered Business Automation Tool
Build a workflow that automatically extracts data, generates reports, and sends summaries replacing hours of manual work daily.
GenAI SaaS Mini-Product
Design and deploy a small but fully functional AI-powered web app using Streamlit or FastAPI, something you can show to employers or sell to clients.
Built for anyone ready to build.
Developers & Engineers – You already build software.
Data Scientists & ML Engineers – Extend your skillset into the application layer, build products with the models you understand.
Content Creators & Marketers – Learn to use GenAI tools not just to produce content faster, but to build your own AI-powered content systems.
Entrepreneurs & Startup Founders – Build your MVP faster and cheaper using Generative AI, without hiring an entire dev team.
Fresh Graduates in CS or IT – GenAI is the single best specialization you can add to your degree right now.
Career Switchers – If you’re creative, analytical, or product-minded, GenAI offers a career path that rewards all three.
Anyone Already Using ChatGPT Who Wants to Go Deeper – Using AI tools casually is not the same as building with them.
Upgrade into the Generative & Agentic AI track.
Take this further with our full 4-phase ecosystem – Trainee → Intern → Shadow → Expert – including a paid internship. Your course progress carries over.