The Full Stack

The Full Stack is a comprehensive education platform offering courses and resources to build AI-powered products from concept to production. It covers problem framing, hardware selection, model deployment, and continual learning, with a focus on hands-on labs, projects, and real-world best practices across the full AI product lifecycle. The platform features a blend of in-depth deep learning courses, Large Language Models (LLM) bootcamps, practical project walkthroughs, and community-driven content drawn from universities and industry experts. Subscribe to stay up to date with new releases and course offerings. Privacy-conscious and committed to delivering value without spamming.

How The Full Stack Helps You

• Learn to define real-world AI problems and select appropriate GPUs and foundation models.
• Build and deploy AI-powered applications from end to end, including prompt engineering, MLOps, and UX design.
• Access a curated mix of courses: Deep Learning, LLM Bootcamps, and project walkthroughs with practical labs.
• Join a community of learners from UC Berkeley, University of Washington, and worldwide.
• Access free introductory content and ongoing updates; no spam in communications.

Courses and Content

• The Full Stack Website Home
• LLM Bootcamp (Online and in-person programs)
• Deep Learning Course (Labs and lectures from foundational to deployment)
• FSDL (Full Stack Deep Learning) courses and lecture sequences from 2018 to 2023, including infrastructure, data management, deployment, monitoring, ethics, and project showcases
• Blogs, news, and course announcements related to AI-powered product development

How to Use The Full Stack

1. Explore Courses to find a track that matches your goals (LLM Bootcamp, Deep Learning, etc.).
2. Sign Up for the course(s) you want to take and enroll in the available sessions.
3. Access Content including lectures, labs, and labs walkthroughs; complete projects to reinforce learning.
4. Engage with Labs and Projects to practice end-to-end AI product development, from data management to deployment.
5. Subscribe for Updates to receive new content and course announcements. Your privacy is respected; you can unsubscribe anytime.

Core Features

• Full-stack curriculum covering problem framing, GPU/foundation model selection, and production deployment
• LLM Bootcamp and Deep Learning courses with hands-on labs and project-based learning
• End-to-end guidance on prompt engineering, MLOps, and UX design for AI-powered apps
• Extensive lecture and lab material across multiple years of FSDL courses (vision, data management, deployment, monitoring, ethics, etc.)
• Community access with learners from top universities and worldwide
• Free introductory content and ongoing updates with no spam