[ ![logo](../images/body-54a6d317d64dbd2f245d.png) ](https://fullstackdeeplearning.com/ "The Full Stack") The Full Stack Type to start searching [ The Full Stack Website * 1.4k * 219 ](https://github.com/the-full-stack/website "Go to repository") * [ Home ](https://fullstackdeeplearning.com/) * [ Working with AI Agents ](https://fullstackdeeplearning.com/working-with-ai-agents/) * [ LLM Bootcamp ](https://fullstackdeeplearning.com/llm-bootcamp/) * [ Deep Learning Course ](https://fullstackdeeplearning.com/course/) * [ Blog ](https://fullstackdeeplearning.com/blog/) * [ Cloud GPUs ](https://fullstackdeeplearning.com/cloud-gpus/) [ ![logo](../images/body-54a6d317d64dbd2f245d.png) ](https://fullstackdeeplearning.com/ "The Full Stack") The Full Stack [ The Full Stack Website * 1.4k * 219 ](https://github.com/the-full-stack/website "Go to repository") * [ Home ](https://fullstackdeeplearning.com/) * [ Working with AI Agents ](https://fullstackdeeplearning.com/working-with-ai-agents/) Working with AI Agents * [ Multiplayer AI Manifesto ](https://fullstackdeeplearning.com/working-with-ai-agents/multiplayer-ai-manifesto/) * [ LLM Bootcamp ](https://fullstackdeeplearning.com/llm-bootcamp/) LLM Bootcamp * [ Spring 2023 ](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/) Spring 2023 * [ Launch an LLM App in One Hour ](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/launch-an-llm-app-in-one-hour/) * [ LLM Foundations ](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/llm-foundations/) * [ Learn to Spell: Prompt Engineering ](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/prompt-engineering/) * [ Augmented Language Models ](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/augmented-language-models/) * [ Project Walkthrough: askFSDL ](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/askfsdl-walkthrough/) * [ UX for Language User Interfaces ](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/ux-for-luis/) * [ LLMOps ](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/llmops/) * [ What's Next? ](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/whats-next/) * [ Reza Shabani: How to train your own LLM ](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/shabani-train-your-own/) * [ Harrison Chase: Agents ](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/chase-agents/) * [ Fireside Chat with Peter Welinder ](https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/welinder-fireside-chat/) * [ Deep Learning Course ](https://fullstackdeeplearning.com/course/) Deep Learning Course * [ FSDL 2022 ](https://fullstackdeeplearning.com/course/2022/) FSDL 2022 * [ Lecture 1: Course Vision and When to Use ML ](https://fullstackdeeplearning.com/course/2022/lecture-1-course-vision-and-when-to-use-ml/) * [ Lab Overview ](https://fullstackdeeplearning.com/course/2022/lab-0-overview/) * [ Lecture 2: Development Infrastructure & Tooling ](https://fullstackdeeplearning.com/course/2022/lecture-2-development-infrastructure-and-tooling/) * [ Lab 4: Experiment Management ](https://fullstackdeeplearning.com/course/2022/lab-4-experiment-management/) * [ Lecture 3: Troubleshooting & Testing ](https://fullstackdeeplearning.com/course/2022/lecture-3-troubleshooting-and-testing/) * [ Lab 5: Troubleshooting & Testing ](https://fullstackdeeplearning.com/course/2022/lab-5-troubleshooting-and-testing/) * [ Lecture 4: Data Management ](https://fullstackdeeplearning.com/course/2022/lecture-4-data-management/) * [ Lab 6: Data Annotation ](https://fullstackdeeplearning.com/course/2022/lab-6-data-annotation/) * [ Lecture 5: Deployment ](https://fullstackdeeplearning.com/course/2022/lecture-5-deployment/) * [ Lab 7: Web Deployment ](https://fullstackdeeplearning.com/course/2022/lab-7-web-deployment/) * [ Lecture 6: Continual Learning ](https://fullstackdeeplearning.com/course/2022/lecture-6-continual-learning/) * [ Lab 8: Model Monitoring ](https://fullstackdeeplearning.com/course/2022/lab-8-model-monitoring/) * [ Lecture 7: Foundation Models ](https://fullstackdeeplearning.com/course/2022/lecture-7-foundation-models/) * [ Lecture 8: ML Teams and Project Management ](https://fullstackdeeplearning.com/course/2022/lecture-8-teams-and-pm/) * [ Lecture 9: Ethics ](https://fullstackdeeplearning.com/course/2022/lecture-9-ethics/) * [ Project Showcase ](https://fullstackdeeplearning.com/course/2022/project-showcase/) * [ Course Announcement ](https://fullstackdeeplearning.com/course/2022/announcement/) * Older Older * [ FSDL 2021 ](https://fullstackdeeplearning.com/spring2021/) FSDL 2021 * [ Synchronous Online Course ](https://fullstackdeeplearning.com/spring2021/synchronous/) * [ Course Projects Showcase ](https://fullstackdeeplearning.com/spring2021/projects/) * [ Lecture 1: DL Fundamentals ](https://fullstackdeeplearning.com/spring2021/lecture-1/) * [ Lab 1: Setup and Introduction ](https://fullstackdeeplearning.com/spring2021/lab-1/) * [ Notebook: Coding a neural net ](https://fullstackdeeplearning.com/spring2021/notebook-1/) * [ Lecture 2A: CNNs ](https://fullstackdeeplearning.com/spring2021/lecture-2a/) * [ Lecture 2B: Computer Vision ](https://fullstackdeeplearning.com/spring2021/lecture-2b/) * [ Lab 2: CNNs and Synthetic Data ](https://fullstackdeeplearning.com/spring2021/lab-2/) * [ Lecture 3: RNNs ](https://fullstackdeeplearning.com/spring2021/lecture-3/) * [ Lab 3: RNNs ](https://fullstackdeeplearning.com/spring2021/lab-3/) * [ Lecture 4: Transformers ](https://fullstackdeeplearning.com/spring2021/lecture-4/) * [ Lab 4: Transformers ](https://fullstackdeeplearning.com/spring2021/lab-4/) * [ Lecture 5: ML Projects ](https://fullstackdeeplearning.com/spring2021/lecture-5/) * [ Lecture 6: MLOps Infrastructure & Tooling ](https://fullstackdeeplearning.com/spring2021/lecture-6/) * [ Lab 5: Experiment Management ](https://fullstackdeeplearning.com/spring2021/lab-5/) * [ Lecture 7: Troubleshooting Deep Neural Networks ](https://fullstackdeeplearning.com/spring2021/lecture-7/) * [ Lecture 8: Data Management ](https://fullstackdeeplearning.com/spring2021/lecture-8/) * [ Lab 6: Data Labeling ](https://fullstackdeeplearning.com/spring2021/lab-6/) * [ Lecture 9: AI Ethics ](https://fullstackdeeplearning.com/spring2021/lecture-9/) * [ Lab 7: Paragraph Recognition ](https://fullstackdeeplearning.com/spring2021/lab-7/) * [ Lecture 10: Testing & Explainability ](https://fullstackdeeplearning.com/spring2021/lecture-10/) * [ Lab 8: Testing & CI ](https://fullstackdeeplearning.com/spring2021/lab-8/) * [ Lecture 11: Deployment & Monitoring ](https://fullstackdeeplearning.com/spring2021/lecture-11/) * [ Lab 9: Web Deployment ](https://fullstackdeeplearning.com/spring2021/lab-9/) * [ Lecture 12: Research Directions ](https://fullstackdeeplearning.com/spring2021/lecture-12/) * [ Lecture 13: ML Teams and Startups ](https://fullstackdeeplearning.com/spring2021/lecture-13/) * [ Panel Discussion: Do I need a PhD to work in ML? ](https://fullstackdeeplearning.com/spring2021/panel/) * [ FSDL 2021 (Berkeley) ](https://bit.ly/berkeleyfsdl) * [ FSDL 2020 (UW) ](https://bit.ly/uwfsdl) * [ FSDL 2019 (Online) ](https://fall2019.fullstackdeeplearning.com) * [ FSDL 2019 (Bootcamp) ](https://fullstackdeeplearning.com/march2019.html) * [ FSDL 2018 (Bootcamp) ](https://fullstackdeeplearning.com/august2018.html) * [ Blog ](https://fullstackdeeplearning.com/blog/) * [ Cloud GPUs ](https://fullstackdeeplearning.com/cloud-gpus/) ![](../images/body-b275dd280c5b82a3a78e.jpg) A robot eating a stack of pancakes (in various styles) by DALL·E. Some prompts [generated by GPT-3](https://twitter.com/charles_irl/status/1530411605699096576). # 404 - Page not found. The Full Stack, 2026 Made with [ Material for MkDocs ](https://squidfunk.github.io/mkdocs-material/) [ ](https://twitter.com/full_stack_dl "twitter.com") [ ](https://www.youtube.com/@The_Full_Stack "www.youtube.com") [ ](https://www.linkedin.com/company/full-stack-deep-learning/posts/ "www.linkedin.com")