The Full Stack brings people together to learn and share best practices across the entire lifecycle of an AI-powered product: from defining the problem and picking a GPU or foundation model to production deployment and continual learning to user experience design.
Course: Full Stack Deep Learning 2022
| Week | Lecture | Resources | Note | Completion |
|---|---|---|---|---|
| 1 | Note | |||
| 2 | Course Vision and When to Use ML | |||
| 3 | Development Infrastructure & Tooling | |||
| 4 | Troubleshooting & Testing | |||
| 5 | Data Management | |||
| 6 | Deployment | |||
| 7 | Continual Learning | |||
| 8 | Foundation Models | |||
| 9 | ML Teams and Project Management | |||
| 10 | Ethics | |||
| 11 | Project Presentation |
Course: LLM Bootcamp - Spring 2023
| S.N | Lectures | Resources | Completion |
|---|---|---|---|
| 1 | Learn to Spell | ||
| 2 | LLMOps | ||
| 3 | UX for Language User Interfaces | ||
| 4 | Augmented Language Models | ||
| 5 | Launch an LLM App in One Hour | ||
| 6 | LLM Foundations | ||
| 7 | Project Walkthrough | ||
| 8 | What's Next? |