The Full Stack

Lecture 5: ML Projects (Full Stack Deep Learning - Spring 2021)

Lecture 01: When to Use ML and Course Vision (FSDL 2022)

Lecture 3: Recurrent Neural Networks (Full Stack Deep Learning - Spring 2021)

What's Next? (LLM Bootcamp)

Lecture 4: Transfer Learning and Transformers (Full Stack Deep Learning - Spring 2021)

Top 10 Final Projects (Full Stack Deep Learning - Spring 2021)

LLM Foundations (LLM Bootcamp)

Lab 08: Monitoring (FSDL 2022)

Lab 5: Experiment Management (Full Stack Deep Learning - Spring 2021)

Lecture 11B: Monitoring ML Models (Full Stack Deep Learning - Spring 2021)

Versioning (5) - Data Management - Full Stack Deep Learning

Lab 9: Web Deployment (Full Stack Deep Learning - Spring 2021)

Lab 07: Web Deployment (FSDL 2022)

Lecture 5: ML Projects (Full Stack Deep Learning - Spring 2021)

Lecture 06: Continual Learning (FSDL 2022)

Computing and GPUs (3) - Infrastructure & Tooling - Full Stack Deep Learning

Peter Welinder - Fireside Chat with OpenAI VP Product (LLM Bootcamp)

LLMOps (LLM Bootcamp)

Lecture 2A: Convolutional Neural Networks (Full Stack Deep Learning - Spring 2021)

Web Deployment (5) - Testing & Deployment - Full Stack Deep Learning

Lab 05: Troubleshooting & Testing (FSDL 2022)

Lecture 2B: Computer Vision Applications (Full Stack Deep Learning - Spring 2021)

Panel Discussion: Do I need a PhD to work in ML? (Full Stack Deep Learning - Spring 2021)

Lab 06: Data Annotation (FSDL 2022)

Lab 7: Paragraph Recognition (Full Stack Deep Learning - Spring 2021)

Lab 8 - Web Deployment - Full Stack Deep Learning

Building production-ready LLM-powered applications @ Scale By the Bay

Lecture 09: Ethics (FSDL 2022)

Lecture 04: Data Management (FSDL 2022)

Learn to Spell: Prompt Engineering (LLM Bootcamp)

Lecture 05: Deployment (FSDL 2022)

Lecture 07: Foundation Models (FSDL 2022)

Lecture 13: ML Teams (Full Stack Deep Learning - Spring 2021)

Augmented Language Models (LLM Bootcamp)

Lab 03: Transformers and Paragraphs (FSDL 2022)

LangChain Demo + Q&A with Harrison Chase

Deep Learning Frameworks

Hyperparameter Tuning (7) - Infrastructure and Tooling - Full Stack Deep Learning

Launch an LLM App in One Hour (LLM Bootcamp)

Livecoding: ICE and the Factored Cognition Primer by Ought

UX for Language User Interfaces (LLM Bootcamp)

Labs 6-9: Detection, Data Labeling, Testing, and Deployment - Full Stack Deep Learning - March 2019

Lecture 6: Infrastructure & Tooling (Full Stack Deep Learning - Spring 2021)

Harrison Chase - Agents Masterclass from LangChain Founder (LLM Bootcamp)

Livecoding: Getting Started with LLMs, by Jeremy Howard