AI / LLM Engineering
Go from LLM fundamentals to production RAG systems, fine-tuning, and LLM system design for engineering interviews.
Modules
LLM Fundamentals
Transformers, tokenisation, temperature, context windows, and how LLMs actually work.
LLM Fundamentals Quiz
15 questions on transformers, tokenisation, temperature, context windows, and inference.
Prompt Engineering
Few-shot prompting, chain-of-thought, structured output, system prompts, and prompt injection defenses.
Prompt Engineering Quiz
15 questions on few-shot prompting, CoT, structured output, and prompt injection.
RAG Systems
Retrieval-Augmented Generation: chunking, embeddings, vector stores, retrieval strategies, and evaluation.
Coding: Semantic Search with Embeddings
Build a simple in-memory semantic search over a document corpus using cosine similarity.
System Design: Production RAG Pipeline
Design a production-grade RAG system: ingestion, indexing, retrieval, generation, evaluation, and monitoring.