Build ChatGPT clones, RAG systems, image generators and real GenAI applications. Taught by engineers who build with LLMs every day.
Scroll to see all 8 modules — each one a real skill you'll use immediately
How GPT, Gemini, Claude work — architecture, tokenization, embeddings.
Zero-shot, few-shot, CoT, role prompting, system prompts.
Chains, agents, memory, document loaders — build LLM apps fast.
Vector databases, embeddings, retrieval — build a doc chatbot.
LoRA, QLoRA, PEFT — fine-tune open-source models on custom data.
Stable Diffusion, DALL-E 3, ControlNet — text-to-image mastery.
Advanced RAG, multi-document Q&A, knowledge graphs.
Deploy GenAI apps on cloud — FastAPI, Streamlit, Docker.
Clear roadmap — every week has a goal, project and deliverable
| Period | Topic | Coverage | Deliverable |
|---|---|---|---|
| Week 1–2 | LLM Foundations | Transformers, APIs, prompt engineering | Prompt library |
| Week 3–4 | RAG & LangChain | Vector DBs, chains, memory | Doc chatbot |
| Week 5–6 | Fine-tuning + Images | LoRA, diffusion models | Fine-tuned model |
| Week 7–8 | Full App + Deploy | End-to-end GenAI app | Deployed app |
Every session uses these industry-standard tools
"I built a RAG chatbot for a legal firm in week 4. The hands-on approach is incredible — every concept is immediately applied to a real project."
Common questions from students who joined this course
No. We use cloud APIs and Google Colab (free GPU). No hardware needed.
GPT-4o, Gemini, Claude, Llama 3, Mistral — all major models are covered.
Yes — 6+ real projects including a RAG chatbot, fine-tuned model and deployed GenAI app.
Every Monday. Call or WhatsApp us for exact dates.
Next batch this Monday · Only 20 seats · Online & Offline