Building AI Applications with LangChain
A comprehensive Udemy course on building production-ready AI applications with LangChain, including RAG, agents, and deployment.
Fine-Tuning Large Language Models
DeepLearning.AI’s short course on fine-tuning LLMs — learn when and how to customize language models for your specific use case.
LangChain for LLM Application Development
DeepLearning.AI’s short course on building LLM-powered applications with LangChain — from chains and memory to agents.
Deep Learning Specialization
Andrew Ng’s comprehensive 5-course specialization covering neural networks, CNNs, RNNs, and sequence models from the ground up.
Practical Deep Learning for Coders
fast.ai’s top-down approach to deep learning — build real models from day one, then understand the theory behind them.
Machine Learning by Andrew Ng
The legendary Stanford machine learning course by Andrew Ng — the most popular ML course ever created, now updated with Python.
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.