Learning Objectives
Data Wrangling
Efficient data processing and management
Model Building
Training and fine-tuning ML models
API Development
Building production-ready APIs
Deployment
CI/CD and cloud deployment
Projects
1. CSV-Chat
Python
LangChain
Gradio
RAG-powered Q&A on any spreadsheet with natural language interface.
View Code Live Demo2. Tiny LLM Fine-tune
PyTorch
PEFT
WandB
Fine-tune a small LLM using LoRA for instruction following.
Coming Soon4. GCP ML Pipeline
GCP
Terraform
Vertex AI
End-to-end ML pipeline with automated training and deployment.
Coming SoonWeekly Progress
Week 1: Data Wrangling & Basic RAG
✓ Project 1: CSV-Chat completed
✓ Deployed to Hugging Face Spaces
✓ Added unit tests
Week 2: Model Fine-tuning
◻ Set up training pipeline
◻ Fine-tune DialoGPT-medium
◻ Evaluate model performance