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.
At a Glance
- Software Engineers
- Machine Learning Engineers
- Data Scientists
- AI Product Managers
AI Tools by Full Stack Deep Learning
(1)Full Stack Deep Learning
AI Product Development Course
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Latest News
FSDL explores RWKV, an open-source alternative to Transformers
Launch of the Spring 2023 LLM Bootcamp
Analysis of GLM-130B open source model performance
2022 Edition of Full Stack Deep Learning Course Commences
Products & Services
A comprehensive course covering the entire lifecycle of deep learning products, from data management to deployment.
A specialized program focused on building and deploying applications powered by Large Language Models.
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
Josh Tobin
Co-founder and CEO of Gantry. Previously a Research Scientist at OpenAI. Received a PhD in Computer Science from UC Berkeley.
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.
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
Josh Tobin
Co-Organizer
CEO of Gantry, former OpenAI Research Scientist.
Sergey Karayev
Co-Organizer
Head of AI for STEM at Turnitin, Gradescope co-founder.
Board of Directors
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
Lecture videos, labs, and reading materials are available for free online.
Paid registration typically required for live cohorts with certificates, instructor access, and community support.
Target Markets
- Software Engineers
- Machine Learning Engineers
- Data Scientists
- AI Product Managers
- Developing production-grade AI apps
- ML infrastructure setup
- AI team leadership
- Engineers from OpenAI
- Meta
- Tesla