Learn to build and deploy GenAI pipelines in "Orchestrating Workflows for GenAI Applications", built in partnership with Astronomer and taught by Kenten Danas, the company's DevRel Senior Manager, and Tamara Fingerlin, developer advocate. Many GenAI applications require executing a pipeline comprising many steps. For example, a RAG app for recommending books might ingest and embed book descriptions, store the embeddings in a vector database, and later use the database to retrieve and recommend s

New short course: Attention in Transformers: Concepts and Code in PyTorch. Last week we released a course on how LLM transformers work. This week, go deeper and learn about the technical ideas behind the attention mechanism, and see how to code it in PyTorch. This course is built with Josh Starmer, Founder and CEO of StatQuest. The attention mechanism was a breakthrough that led to transformers, the architecture powering large language models like ChatGPT. Transformers, introduced in the 2017 pa

New short course: Event-Driven Agentic Document Workflows. Event-driven workflows are a key design pattern in which many pieces of work (LLM calls, tool use, etc.) can be carried out asynchronously and in parallel, and completion of specific steps generate events that trigger other work to begin. In this course, created in partnership with LlamaIndex and Laurie Voss, VP of Developer Relations, you'll learn to apply this technique to document workflows. Filling out complex forms can be tedious, t

The new Machine Learning Specialization by DeepLearning.AI and Stanford Online is now available on Coursera! In three beginner-friendly courses, you’ll learn the fundamentals of machine learning and gain practical experience building and training models using Python. Unlike the original course, which required more knowledge of math, this new Specialization is designed to be more accessible for first-time learners. Plus, its expanded list of topics will give you a practical understanding of impor