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Module 7: End-to-End Project — LLM Zoomcamp

Lessons, materials, and key concepts for module 7 of LLM Zoomcamp.

LLM Zoomcamp > Module 7: End-to-End Project

Module 7: End-to-End Project Example (Optional)

This module was recorded in 2024 and has not been updated since then. It is optional, but still useful to give you an idea of what you need to implement for a course project.

We walk through building a complete RAG project from scratch: a fitness assistant with search, evaluation, an API, monitoring, and Docker containerization.

The final project is at alexeygrigorev/fitness-assistant.

Lessons

1. Intro - Generating data, setting up the project, initial RAG flow
2. Evaluating Retriev

Lessons

Key concepts

• OpenAI API
• RAG
• Docker
• PostgreSQL
• Vector Search
• Pandas
• Prompt Engineering
• scikit-learn
• Model Monitoring
• Prometheus and Grafana
• Flask
• LLM Evaluation
• Jupyter Notebooks
• Gradient Boosting
• Elasticsearch
• LLM Monitoring
• Trading Strategy
• Embeddings

Homework and deadlines live in the course repository: llm-zoomcamp.

Other modules in this course

• Module 1: Agentic RAG
• Module 2: Vector Search
• Module 3: Orchestration
• Module 4: Evaluation
• Module 5: Monitoring
• Module 6: Best Practices