🤖 Gen-AI Practice

Personal practice repository — Weekly coding labs, assignments, mini-projects and theory notes from my Full Stack Generative AI Bootcamp journey.
Built in public. Updated every weekend.

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📌 About This Repo

This repository contains my independent practice work — separate from my class notebooks.

Every weekend after class I:

1. Attend the bootcamp session
2. Solve the weekly coding lab (3 exercises + mini project)
3. Push everything here with notes
4. Update this README

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📁 Folder Structure

Gen-AI/
│
├── 📂 week-01/       → Tokenization & Embeddings
├── 📂 week-02/       → Word2Vec & Transformer Intuition
├── 📂 week-03/       → SOTA Embedding Models & Similarity Search
├── 📂 week-04/       → Transformer Architecture Deep Dive
├── 📂 week-05/       → LLMs, SLMs & Multimodal Models
├── 📂 week-06/       → Model Selection Strategy
├── 📂 week-07/       → LLM APIs & Cost Management
├── 📂 week-08/       → Provider Switching & Cloud APIs
├── 📂 week-09/       → Fine-Tuning Foundations & LoRA
├── 📂 week-10/       → Advanced Fine-Tuning (RLHF, DPO)
├── 📂 week-11/       → LLM Hosting on AWS SageMaker
├── 📂 week-12/       → Prompt Engineering
├── 📂 week-13/       → RAG Systems
├── 📂 week-14/       → Advanced RAG & Multimodal
├── 📂 week-15/       → Agents & Multi-Agent Systems
├── 📂 week-16/       → Evaluation Strategies
├── 📂 week-17/       → Guardrails & Safety
├── 📂 week-18/       → MCP & Agentic Tool Layers
├── 📂 week-19/       → AWS Cloud Services for GenAI
├── 📂 week-20/       → No-Code Agent Tools (n8n)
├── 📂 week-21/       → Capstone 1 - Document Portal
├── 📂 week-22/       → Capstone 1 - Continued
├── 📂 week-23/       → Capstone 2 - Report Generation Agent
├── 📂 week-24/       → Capstone 2 - Continued
│
├── 📂 notes/
│   └── GenAI_Bootcamp_Theory_Notes.pdf
│
└── README.md

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🗺️ Progress Tracker

Week	Module	Topics	Lab	Status
Week 01	Module 1	Text Encoding, Tokenization, Embeddings, Vector Space	📓	✅ Done
Week 02	Module 1	Word2Vec, CBOW vs Skip-gram, Transformer Intuition, Attention	📓	✅ Done
Week 03	Module 1	SOTA Embedding Models, CLIP, Semantic vs Keyword Search	📓	✅ Done
Week 04	Module 1	Transformer Architecture, Self-Attention, Encoder/Decoder, Positional Encoding	📓	✅ Done
Week 05	Module 2	LLMs vs SLMs vs Multimodal, Model Families	📓	🔜 Upcoming
Week 06	Module 2	Specialized Models, Model Selection Strategy	📓	🔜 Upcoming
Week 07	Module 3	LLM API Ecosystem, Making API Calls, Token Cost Management	📓	🔜 Upcoming
Week 08	Module 3	Provider Switching, Cloud-Managed APIs	📓	🔜 Upcoming
Week 09	Module 4	Fine-Tuning Foundations, Strategies, PEFT, LoRA, QLoRA	📓	🔜 Upcoming
Week 10	Module 4	Fine-Tuning Frameworks, Advanced Paradigms (RLHF, DPO)	📓	🔜 Upcoming
Week 11	Module 5	LLM Hosting on AWS SageMaker, API Exposure	📓	🔜 Upcoming
Week 12	Module 6	Prompt Engineering, CoT, ReAct, Structured Prompting	📓	🔜 Upcoming
Week 13	Module 7	RAG Systems, Chunking, Vector DBs, Retrieval	📓	🔜 Upcoming
Week 14	Module 8	Advanced RAG, Multimodal RAG, Evaluation	📓	🔜 Upcoming
Week 15	Module 9	Agents, Multi-Agent Systems, LangGraph	📓	🔜 Upcoming
Week 16	Module 10	Evaluation Strategies, LLM-as-a-Judge, RAGAS	📓	🔜 Upcoming
Week 17	Module 11	Guardrails, Prompt Injection Defense	📓	🔜 Upcoming
Week 18	Module 12	MCP, FastMCP, Agentic Tool Layers	📓	🔜 Upcoming
Week 19	Module 13	AWS Services for GenAI — SageMaker, Bedrock	📓	🔜 Upcoming
Week 20	Module 14	No-Code Agent Tools — n8n	📓	🔜 Upcoming
Week 21–22	Module 15	Capstone 1 — Document Portal System	📓	🔜 Upcoming
Week 23–24	Module 16	Capstone 2 — Autonomous Report Generation Agent	📓	🔜 Upcoming

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🧠 Theory Notes PDF

Cumulative theory notes — updated every weekend with new content.

📄 Download Latest Theory Notes PDF

Currently covers:

• Week 1 — Tokenization, Embeddings, Vector Space, Similarity Metrics
• Week 2 — Word2Vec, Transformer Intuition, Attention Mechanism
• Week 3 — SOTA Embedding Models, CLIP, Semantic vs Keyword Search
• Week 4 — Transformer Architecture, Self-Attention, Encoder/Decoder, Positional Encoding

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🛠️ Tech Stack

Category	Tools
Core Language	Python 3.10+
Embeddings	sentence-transformers, OpenAI, Google Gemini
LLM Frameworks	LangChain, LangGraph
Vector Databases	Pinecone, Qdrant, ChromaDB
Fine-Tuning	Hugging Face Transformers, PEFT, Unsloth
Cloud	AWS (SageMaker, Bedrock), Azure AI Foundry
MLOps	MLflow
Notebooks	Jupyter, Google Colab

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📊 Skills Being Built

Foundations     ████████████████░░░░  80%  (Weeks 1-4 complete)
LLM APIs        ░░░░░░░░░░░░░░░░░░░░   0%  (Coming Week 7)
Fine-Tuning     ░░░░░░░░░░░░░░░░░░░░   0%  (Coming Week 9)
RAG Systems     ░░░░░░░░░░░░░░░░░░░░   0%  (Coming Week 13)
Agents          ░░░░░░░░░░░░░░░░░░░░   0%  (Coming Week 15)
Cloud Deploy    ░░░░░░░░░░░░░░░░░░░░   0%  (Coming Week 19)

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⚙️ Setup

# Clone the repo
git clone https://github.com/kshah2712/Gen-AI.git
cd Gen-AI

# Create virtual environment
python -m venv venv
source venv/bin/activate        # Mac/Linux
venv\Scripts\activate           # Windows

# Install dependencies
pip install -r requirements.txt

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🔗 Connect With Me

Platform	Link
💼 LinkedIn	[https://www.linkedin.com/in/kashyap-shah-28229332a?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app]
💻 GitHub	github.com/kshah2712

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📝 Weekly Cycle

Saturday/Sunday → Attend bootcamp class
        ↓
Take notes + code along in class repo
        ↓
Solve weekly coding lab (3 exercises)
        ↓
Push code + charts + README to this repo
        ↓
Update theory notes PDF in notes/
        ↓
Post on LinkedIn + Instagram

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Building in public — one weekend at a time 🚀

Started April 2025 | Expected completion: September 2025