Free online
Learn Large Language Models online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
754 courses
Explore the cutting-edge realm of Large Language Models (LLMs) with this expertly curated YouTube playlist. Featuring insights from industry leaders, educational content, and in-depth discussions, this selection highlights the latest advancements in LLM technology.
This course explores the world of Transformers and Large Language Models (LLMs). You will learn the evolution of NLP methods, the core components of the Transformer architecture, along with how they relate to LLMs as well as techniques to enhance model performance for real-world applications. Throu…
Dive into the intriguing world of AI Transformers with this curated YouTube playlist. Featuring expert insights, educational content from leading organizations, and engaging discussions, this playlist keeps you informed about the latest breakthroughs in Transformer technology.
Stanford CS25: Transformers United Since their introduction in 2017, transformers have revolutionized Natural Language Processing (NLP). Now, transformers are finding applications all over Deep Learning, be it computer vision (CV), reinforcement learning (RL), Generative Adversarial Networks (GANs)…
Great Learning
This Prompt Engineering for ChatGPT course equips you with the essential skills to understand how Large Language Models are trained, how they generate responses, and how prompts influence AI output quality. You’ll learn LLM training and inference, OpenAI’s model evolution, GPT architecture, tokeniz…
Great Learning
The AI in Healthcare free training course equips you with the essential knowledge to understand how Generative AI and Large Language Models support modern healthcare. You’ll learn how AI assists medical diagnosis, interprets scan…
DeepLearning.AI
In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications. By taking this course, you'll learn to: - Deeply understand generative AI, describing the key steps in a typical LLM-based generative AI lif…
The field of Computer Science is headed for a major upheaval with the rise of large AI models, such as ChatGPT, that are capable of performing general-purpose reasoning and problem solving. We are headed for a future in which it will no longer be necessary to write computer programs. Rather, I beli…
Google
Short courses on generative AI, large language models and responsible AI.
DeepLearning.AI
LangChain: Chat With Your Data delves into two main topics: (1) Retrieval Augmented Generation (RAG), a common LLM application that retrieves contextual documents from an external dataset, and (2) a guide to building a chatbot that responds to queries based on the content of your documents, rather…
DeepLearning.AI
In this course taught by Andrew Ng, you'll build agentic AI systems that take action through iterative, multi-step workflows.
DeepLearning.AI
If you've never written code before, this course is for you. In less than 30 minutes, you'll learn to describe an idea in words and let AI transform it into an app for you.
DeepLearning.AI
Build reliable LLM applications with structured outputs and validated data using Pydantic.
DeepLearning.AI
Gain fundamental understanding and the practical knowledge to develop production-ready RAG applications, from architecture to deployment and evaluation.
DeepLearning.AI
Become an AI power user in this new course taught by Andrew Ng. From finding information to building apps, you'll develop the prompting skills that get real, useful results from today's most powerful AI models.
Taught by professor Christopher Potts, this professional Stanford Online course draws on theoretical concepts from linguistics, natural language processing, and machine learning. Topics include domain adaptation for supervised sentiment, retrieval augmented in-context learning, advanced behavioral…
Anthropic
Build AI apps that access tools, data, and prompts using the Model Context Protocol.
OpenAI
Learn the fundamentals of prompt engineering for ChatGPT. Learn effective prompting, and how to use LLMs for summarizing, inferring, transforming, and expanding.
Anthropic
Explore, build, and refine codebases with Claude Code.
