AI & ML
LLM Engineering
Building applications with LLMs is the fastest-growing area in AI. Master RAG, embeddings, and fine-tuning.
Embeddings & Vector Representations
Word Embeddings Fundamentals
Sentence and Document Embeddings
Embedding Model Selection
Vector Databases & Retrieval
Similarity Search Algorithms
Vector Database Fundamentals
Hybrid Search and Reranking
Prompt Engineering & Orchestration
Prompt Engineering Techniques
Prompt Chaining & Orchestration
Fine-Tuning & Training
When to Fine-Tune vs RAG vs Prompt
Parameter-Efficient Fine-Tuning (PEFT)
RLHF and Preference Optimization
Data Preparation for Fine-tuning
Evaluation Metrics for LLMs
Safety and Alignment in Fine-tuning