Stanford University · YouTube
AI Luminaries
A curated collection of videos featuring top experts in artificial intelligence.

GitHub Actions allows you to automate your software development workflows and seamlessly integrate with GitHub. This 2-hour long project will guide you through the fundamentals of GitHub Actions, helping you leverage its automation capabilities for your projects. We’ll start by overviewing the core components of Actions including workflow files, jobs, steps, and runners. You’ll learn how to monitor and trigger workflows based on events like pushing code. We’ll walk through creating a simple starter workflow YAML file that clones a repository, sets up a language, and builds an application. To apply what you've learned, you’ll create and customize a workflow for your own project using reusable open source actions from GitHub Marketplace. Whether you're new to GitHub Actions or looking to expand your skills, this project will equip you with the knowledge and hands-on practice to implement automation best practices. You’ll gain practical experience configuring Actions for continuous integration, deployment, and other tasks to boost your productivity.
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Duke University is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (86/100).
Stanford University · YouTube
A curated collection of videos featuring top experts in artificial intelligence.
Stanford University · YouTube
-Learn more and enroll in the program: https://online.stanford.edu/programs/generative-ai-technology-business-and-society-program Recent advancements in generative AI are reshaping industries, pushing technological boundaries, and revolutionizing creative processes. In this fast-changing landscape…
Stanford University · YouTube
For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai Delve into the exciting world of Artificial Intelligence with insights and research from the world's top experts. This playlist offers a comprehensive journey, from foundational machine learning con…
Stanford University · YouTube
Led by Andrew Ng, this course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (cluster…
Massachusetts Institute of Technology · YouTube
View the complete course: http://ocw.mit.edu/6-034F10 Instructor: Patrick Winston In these lectures, Prof. Patrick Winston introduces the 6.034 material from a conceptual, big-picture perspective. Topics include reasoning, search, constraints, learning, representations, architectures, and probabili…
Stanford University · YouTube
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.