Stanford Online · Education

Stanford Online

You can gain access to a world of education through Stanford Online, the Stanford School of Engineering’s portal for academic and professional education offered by schools and units throughout Stanford University. https://online.stanford.edu/ Our robust catalog of degree programs, credit-bearing education, professional certificate programs, and free and open content is developed by Stanford faculty, enabling you to expand your knowledge, advance your career, and enhance your life. Stanford Online is operated and managed by the Stanford Engineering Center for Global & Online Education (CGOE). CGOE expands access to Stanford teaching and research, working in collaboration with faculty in the School of Engineering and throughout Stanford University to design and deliver extensive global, online, and enterprise education to a global audience.

Episodes

Stanford CS193p: iOS Development with SwiftUI | 2025 | L6: Demonstrating Data Flow

25 Nov 2025

1h 14m

Stanford CS193p: iOS Development with SwiftUI | 2025 | L5: Layout & Data Flow

25 Nov 2025

1h 7m

Stanford CS193p: iOS Development with SwiftUI | 2025 | L4: CodeBreaker's Model

25 Nov 2025

1h 11m

Stanford Robotics Seminar ENGR319 | Autumn 2025 | Embodied Foundation Models

24 Nov 2025

29m

Stanford Robotics Seminar ENGR319 | Autumn 2025 | General Compliant Robot Interaction

24 Nov 2025

29m

Stanford CS230 | Autumn 2025 | Lecture 7: Agents, Prompts, and RAG.

21 Nov 2025

1h 49m

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This transcript captures a lecture for CS230 Deep Learning, titled "Beyond LLM," focusing on enhancing large language model applications. The lecture covers challenges and opportunities in augmenting LLMs, diving into prompting methods, fine-tuning, retrieval augmented generation (RAG), and agentic AI workflows. It inc...

Stanford CME295 Transformers & LLMs | Autumn 2025 | Lecture 7 - Agentic LLMs

18 Nov 2025

1h 49m

AI processed

The lecture explores practical techniques for Large Language Models (LLMs) to interact with external systems, focusing on Retrieval Augmented Generation (RAG), tool calling, and agents. RAG is presented as a method to augment prompts with relevant information from external knowledge bases to overcome the limitations of...