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    3. Full Stack Deep Learning

    Full Stack Deep Learning

    Full Stack Deep Learning helps engineers bridge the gap from training machine learning models to deploying production AI systems in the real world.

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    At a Glance

    1Tool Listed
    3Products
    16Tool Views
    5Capabilities
    Discussions
    Berkeley, CaliforniaHeadquarters
    2018Est.
    10Employees
    Focus Areas
    AI Courses
    AI Tutorials
    AI Bootcamp
    Connect
    Latest News
    FSDL explores RWKV, an open-source alternative to TransformersJul 25, 2023
    Launch of the Spring 2023 LLM BootcampApr 1, 2023
    Markets
    • Software Engineers
    • Machine Learning Engineers
    • Data Scientists
    • AI Product Managers

    AI Tools by Full Stack Deep Learning

    (1)
    View Full Stack Deep Learning
    Full Stack Deep Learning tool icon

    Full Stack Deep Learning

    AI Product Development Course

    AI CoursesAI TutorialsAI Bootcamp

    Discussions

    No discussions yet

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    Latest News

    07/25/2023

    FSDL explores RWKV, an open-source alternative to Transformers

    fullstackdeeplearning.com
    04/01/2023

    Launch of the Spring 2023 LLM Bootcamp

    fullstackdeeplearning.com
    01/12/2023

    Analysis of GLM-130B open source model performance

    fullstackdeeplearning.com
    08/08/2022

    2022 Edition of Full Stack Deep Learning Course Commences

    fullstackdeeplearning.com

    Products & Services

    3
    Full Stack Deep Learning Online Course
    2021

    A comprehensive course covering the entire lifecycle of deep learning products, from data management to deployment.

    LLM Bootcamp
    2023

    A specialized program focused on building and deploying applications powered by Large Language Models.

    The Full Stack Newsletter

    A weekly/bi-weekly publication providing news, analysis, and community highlights across the AI stack.

    Market Position

    FSDL differentiates itself by focusing on the 'Full Stack'—MLOps, infrastructure, and UX—rather than just the modeling and mathematics covered by most DL courses.

    Leadership

    Founders

    JT

    Josh Tobin

    Co-founder and CEO of Gantry. Previously a Research Scientist at OpenAI. Received a PhD in Computer Science from UC Berkeley.

    SK

    Sergey Karayev

    Head of AI for STEM at Turnitin. Co-founder of Gradescope (acquired by Turnitin). Received a PhD in Computer Science from UC Berkeley.

    PA

    Pieter Abbeel

    Professor of Computer Science and Engineering at UC Berkeley. Co-founder of Gradescope, Covariant, and AIX Ventures. Recipient of numerous awards in robotics and AI.

    Executive Team

    JT

    Josh Tobin

    Co-Organizer

    CEO of Gantry, former OpenAI Research Scientist.

    SK

    Sergey Karayev

    Co-Organizer

    Head of AI for STEM at Turnitin, Gradescope co-founder.

    Board of Directors

    PA
    Pieter Abbeel
    Co-Organizer / Advisor

    Founding Story

    Started as a three-day bootcamp on the UC Berkeley campus in 2018 to address the lack of education around deploying and managing deep learning systems in production.

    Business Model

    Revenue Model

    Primarily free educational content supported by newsletter sponsorships, corporate partnerships, and historically paid live cohort registrations.

    Pricing Tiers

    Online Course Materials
    Free

    Lecture videos, labs, and reading materials are available for free online.

    Live Cohort / Certificate (Historical)
    Varies

    Paid registration typically required for live cohorts with certificates, instructor access, and community support.

    N/A

    Target Markets

    Industries & Segments
    • Software Engineers
    • Machine Learning Engineers
    • Data Scientists
    • AI Product Managers
    Use Cases
    • Developing production-grade AI apps
    • ML infrastructure setup
    • AI team leadership
    Notable Customers
    • Engineers from OpenAI
    • Google
    • Meta
    • Tesla

    Quick Facts

    Headquarters
    Berkeley, California
    Founded
    2018
    Entity Type
    Educational Initiative / Professional Brand
    Employees
    10
    Total Funding
    Bootstrapped / Privately Funded
    Investors
    None (Educational project supported by founder startups like Gantry and Gradescope)
    Office Locations
    Berkeley
    San Francisco

    History & Milestones

    2023

    Launched the Large Language Models (LLM) Bootcamp focusing on LLMops and prompt engineering.

    2022

    Launched a significantly updated 2022 version of the course content.

    2021

    Released the first major version of the Full Stack Deep Learning online course.

    2019

    Conducted subsequent in-person bootcamps in March and November.

    2018

    First Full Stack Deep Learning bootcamp hosted on the UC Berkeley campus.

    Key Capabilities

    5
    MLOps best practices
    Infrastructure management
    Prompt engineering
    LLM monitoring
    Deployment strategies

    Integrations & Partnerships

    Platform Integrations

    • PyTorch
    • Weights & Biases
    • Streamlit
    • Modal
    • LangChain

    Key Partnerships

    Weights & Biases
    Anyscale
    Lambda Labs

    Connect

    Website
    fullstackdeeplearning.com/
    YouTube
    c

    AI Topics

    3

    Full Stack Deep Learning focuses on these topics:

    AI Courses(1)
    AI Tutorials(1)
    AI Bootcamp(1)
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