What is The Full Stack?
The Full Stack is committed to helping users systematically master the full capabilities required to build AI-driven products—going far beyond training models or crafting prompts. It encompasses every stage, from problem definition and GPU/foundation model selection to production deployment, ongoing learning, and user experience design. The platform offers free hands-on courses like the 2023 Large Language Model Bootcamp and the 2022 Deep Learning Course, which have already drawn thousands of learners from UC Berkeley, the University of Washington, and communities worldwide.
Key features
It offers full-stack course content covering LLM application development, including prompt engineering, LLMops, and user experience design.
It provides practical courses for building AI applications from scratch, such as the 2022 Deep Learning Course and the 2023 Large Language Model Bootcamp.
Use cases and audience
Targeted at developers, researchers, and engineers who wish to build AI-driven products from the ground up, it has already attracted thousands of participants from UC Berkeley, the University of Washington, and around the world.
- Hands-on practice throughout the entire lifecycle of building AI-driven products, covering problem definition, GPU or foundation model selection, production deployment, and continuous learning.
- Explore the fundamentals of Large Language Model (LLM) applications, covering prompt engineering, LLMops, and user experience design.
- Build AI applications based on deep neural networks from scratch.
The definition and objectives of AI-driven products, requirements for selecting GPUs or foundation models, deployment and continuous learning scenarios, and user experience design considerations.
A complete implementation roadmap for AI-driven products, covering prompt engineering, LLMops, production deployment, continuous learning, and user experience design.
Frequently asked questions
Is the course fee-based?
All courses are offered free of charge.
Who is this course intended for?
Targeted at developers, researchers, and engineers worldwide who wish to build AI-powered products from scratch, including participants from universities such as UC Berkeley and the University of Washington.
How to use
- 01
Understand the complete lifecycle of AI-driven products: from problem definition to continuous learning.
- 02
Join the 2023 Large Language Model Bootcamp and master the basics of LLM application development.
- 03
Participate in the 2022 Deep Learning Course and build AI applications from the ground up.
- 04
Subscribe to receive future free content updates.
Pricing and availability
All courses are provided free of charge; there are no subscription fees; no limits on word count, character count, API calls, quotas, or commercial use have been specified.
- Pricing source
- https://fullstackdeeplearning.com/
- Pricing last updated
- 2026-10-30
Prices and limits may change. Check the official website for current terms.
Official website & sources
Sources
Updated on 2026-10-31
