LangChain: Building LLM Applications
Build powerful LLM applications using LangChain, covering chains, memory, agents, and evaluation.
Building RAG Systems from Scratch
Design and implement production-ready RAG systems with vector stores, embedding models, chunking strategies, and evaluation.
Fine-tuning Large Language Models
Learn to fine-tune open-source LLMs using LoRA, QLoRA, and RLHF with Hugging Face’s transformers library.
Building AI Agents with Tool Use
Build autonomous AI agents that can use tools, browse the web, write code, and complete complex multi-step tasks.
Vector Databases: From Concepts to Production
Master vector databases including Pinecone, Weaviate, and ChromaDB for semantic search and AI applications.
