Browse Lessons

Course Overview: Driving Product Strategy through Growth and Change

Stanford CS149 I Parallel Computing I 2023 I Lecture 12 - Memory Consistency

Stanford CS149 I Parallel Computing I 2023 I Lecture 11 - Cache Coherence

Stanford CS149 I Parallel Computing I 2023 I Lecture 10 - Efficiently Evaluating DNNs on GPUs

Stanford CS149 I 2023 I Lecture 9 - Distributed Data-Parallel Computing Using Spark

Stanford CS149 I Parallel Computing I 2023 I Lecture 8 - Data-Parallel Thinking

Stanford CS149 I Parallel Computing I 2023 I Lecture 7 - GPU architecture and CUDA Programming

Stanford CS149 I Lecture 6 - Performance Optimization II: Locality, Communication, and Contention

Stanford ECON295/CS323 I 2024 I A World Without Work, Daniel Susskind

Stanford CS149 I 2023 I Lecture 5 - Performance Optimization I: Work Distribution and Scheduling

Stanford CS149 I Parallel Computing I 2023 I Lecture 4 - Parallel Programming Basics

Stanford CS149 I 2023 I Lecture 3 - Multi-core Arch Part II + ISPC Programming Abstractions

Stanford ECON295/CS323 I 2024 I AI and Democracy, Lawrence Lessig

Stanford CS149 I Parallel Computing I 2023 I Lecture 1 - Why Parallelism? Why Efficiency?

Stanford ECON295/CS323 I 2024 I AI and Creativity, Anima Anandkumar

Stanford Webinar - AI in the Workplace: Rethinking Skill Development

Stanford ECON295/CS323 I 2024 I Business of AI, Reid Hoffman

Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)

Stanford Webinar - Identifying AI Opportunities: Strategies for Market Success

Information Session: Health and Medicine Online Programs

Stanford ECON295/CS323 I 2024 I The AI Awakening, Erik Brynjolfsson

Stanford CS149 I Parallel Computing I 2023 I Lecture 2 - A Modern Multi-Core Processor

Avoid the Trap of Over-Engineering in #AI Development

Why Full-Stack Engineers Are Key to #AI Project Success