Generative AI – Full Stack Developer (Registration Closed)

Duration: 10 Weeks
Mode: Online / Hybrid / In-person
Ideal For: Full Stack Developers, ML Engineers, Technical Architects

📅 Week-by-Week Curriculum

Week 1: Gen AI Foundations & LLM Landscape

• Evolution of Generative AI: GPT, Claude, Gemini, Mistral

• Transformer architecture & attention mechanism

• Tokens, embeddings, and prompt engineering essentials

• Overview of popular open-source and commercial LLMs

Week 2: LangChain & Agentic Concepts

• Introduction to LangChain ecosystem

• Chains vs Agents vs Tools

• Designing simple agentic workflows

• Function-calling, tool-calling, and decision routing

Week 3: RAG Architecture & Vector Databases

• What is Retrieval-Augmented Generation (RAG)?

• Vector DBs: FAISS, ChromaDB, Pinecone, Weaviate

• Document ingestion, chunking strategies

• Embedding generation & similarity search implementation

Week 4: Working with Models (APIs, Tuning, Hosting)

• Using OpenAI, Cohere, Claude, and Gemini APIs

• Fine-tuning vs prompt tuning vs adapters (LoRA, PEFT)

• Hosting models on HuggingFace & Replicate

• Building a model selection logic based on use-case

Week 5: Building Gen AI Applications

• Frontend: React / Next.js dynamic forms

• Backend: FastAPI with LangChain integration

• State management for prompt sessions

• Integrating text, image, code, and multimodal inputs

Week 6: Advanced Agents & Workflows

• Autonomous multi-step agents (ReAct, BabyAGI)

• Dynamic tool usage and planning logic

• Orchestrating agents with memory & context

• Guardrails: safety, hallucination control, fallbacks

Week 7: Deployment & Infrastructure

• Dockerizing GenAI apps

• Deploying on AWS, Google Cloud, and Vercel

• Using Amazon Bedrock, GCP Vertex AI

• Cost control and scaling strategies

Week 8: Observability, Tracing & Evaluation

• Prompt logging with LangSmith / PromptLayer

• Metrics: latency, cost, success/failure tracking

• Automated feedback collection and versioning

• Human-in-the-loop evaluation strategies

Week 9: End-to-End Project Build

• Real-world use cases: Chatbot, Financial Copilot, HR Assistant

• Full stack app with UI, backend, vector DB, and agents

• Authentication, admin panel, deployment checklist

Week 10: Capstone Demo & Certification

• Final project demos & technical walkthrough

• Peer & mentor feedback

• Certification of Completion

• Portfolio & LinkedIn/GitHub readiness