Live Bootcamp Sessions
Schedule for the live bootcamp sessions (09-11 May 2025):
Day 1: Production-Ready ML
Lecture
- Before using ML
- Building ML Pipelines
- Model Serving and Deployment
- Monitoring and Observability
Lab
We’ll build a production-ready ML pipeline and deploy it to AWS. The lab will cover:
- Data exploration and preprocessing
- Model training and evaluation
- Building a REST API for model serving using FastAPI
- Deploying the model to AWS using Docker and ECS
- Monitoring the deployed model using AWS CloudWatch
Day 2: The Generative AI Revolution
Lecture
- The Breakthrough - Transformers
- LLMs
- Prompting
- LLMs can go wrong - Evaluation
- Looking Ahead
Lab
We’ll learn how to write effective prompts and evaluate LLMs on custom datasets. The lab will cover:
- Principles and techniques for writing effective prompts
- Preparing datasets for evaluation
- Choosing a model and evaluation metrics
- Evaluating LLMs on custom dataset and analyzing the results
Day 3: Building AI Products
Lecture
- The modern AI stack
- LLM wrappers
- Chatbots
- RAG
- Agentic systems
- LLM fine-tuning
Lab
We’ll learn how to fine-tune a small LLM on a custom dataset. The lab will cover:
- Preparing the dataset for fine-tuning
- Choosing a model and training parameters
- Fine-tuning the model
- Evaluating the fine-tuned model
Notes
- Each day has a lecture (1 hour) and a lab session (1-2 hours)
- All sessions will have 10+ minutes for Q&A at the end
- All sessions will be recorded (available 2-3 days after the bootcamp ends)