Generative AI & LLMs

Build applications on large language models with RAG, fine-tuning, LangChain and the major APIs.

Generative AI with Large Language Models (DeepLearning.AI)

A hands-on course covering how LLMs are built, fine-tuned, and deployed, taught by AWS AI practitioners through DeepLearning.AI on Coursera.

Python

Developing LLM Applications with LangChain

Generative AI & LLMs

A hands-on DataCamp course on building chatbots and RAG pipelines using LangChain, covering chains, agents, and retrieval tools in depth.

LangChain Python

Achieve More With Generative AI

Generative AI & LLMs

Learn to leverage generative AI to automate tasks, boost productivity, and unlock your creative potential with leading industry experts.

Become an LLM Engineer

Generative AI & LLMs

Master generative AI and build intelligent applications by learning prompt engineering, LangChain, and model fine-tuning in this hands-on path.

LangChain

Generative AI courses here are for builders. You will learn how transformer-based language models actually work, then how to put them into production: calling the OpenAI, Anthropic and open-source model APIs, designing retrieval-augmented generation pipelines with vector databases, orchestrating with LangChain or LlamaIndex, and fine-tuning or applying LoRA when prompting is not enough. Evaluation gets proper attention, covering how to test a system whose output is non-deterministic, and how to control cost, latency and prompt injection risk. Image and multimodal generation is included where the course teaches the underlying models rather than only the interface.