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https://github.com/wandb/edu
Educational materials on deep learning by Weights & Biases
https://github.com/wandb/edu
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Educational materials on deep learning by Weights & Biases
- Host: GitHub
- URL: https://github.com/wandb/edu
- Owner: wandb
- License: gpl-2.0
- Created: 2020-11-24T20:40:12.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2024-08-05T14:06:46.000Z (4 months ago)
- Last Synced: 2024-08-05T16:21:23.205Z (4 months ago)
- Language: Jupyter Notebook
- Homepage: http://wandb.ai
- Size: 23.6 MB
- Stars: 485
- Watchers: 14
- Forks: 237
- Open Issues: 28
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- jimsghstars - wandb/edu - Educational materials on deep learning by Weights & Biases (Jupyter Notebook)
README
# Weights & Biases AI Academy
Welcome to the W&B AI Academy! This repository contains materials for learning AI, organized by topic. These materials are designed to complement our online courses but can also be useful on their own.
## 🤖 Large Language Models (LLMs)
| Course | Instructor | Description |
|--------|------------|-------------|
| 🆕 [RAG++](https://www.wandb.courses/courses/rag-in-production) | Bharat Ramanathan
MLE @ W&B
Ayush Thakur
MLE @ W&B
Meor Amer
Developer Advocate @ Cohere
Charles Pierse
Head of Weaviate Labs | Practical RAG techniques for engineers: production-ready solutions to optimize performance, cut costs, and enhance accuracy. |
| 🆕 [Developer's guide to LLM prompting](https://www.wandb.courses/courses/prompting) | Anish Shah
MLE @ W&B
Teodora Danilovic
Prompt Engineer @ AutogenAI | Everything you need to get started with prompt engineering, from system prompts to model-specific strategies. |
| [LLM Engineering: Structured Outputs](https://www.wandb.courses/courses/steering-language-models) | Jason Liu
Independent Consultant | Improve LLM engineering skills, learn about structured JSON output handling, function calling, and complex validations. |
| [Building LLM-Powered Apps](https://www.wandb.courses/courses/building-llm-powered-apps) | Darek Kłeczek
MLE @ W&B
Bharat Ramanathan
MLE @ W&B
Thomas Capelle
MLE @ W&B
Shreya Rajpal
Creator of Guardrails AI
Anton Troynikov
Co-Founder of Chroma
Shahram Anver
Co-Creator of Rebuff | Learn to build LLM-powered applications using LLM APIs, Langchain, and W&B LLM tooling. |
| [Training and Fine-tuning LLMs](https://www.wandb.courses/courses/training-fine-tuning-LLMs) | Darek Kłeczek
MLE @ W&B
Ayush Thakur
MLE @ W&B
Jonathan Frankle
Chief Scientist @ MosaicML
Weiwei Yang
Principal SDE Manager @ Microsoft Research
Mark Saroufim
PyTorch Engineer @ Meta | Explore LLM architecture, training techniques, and fine-tuning methods, including LoRA and RLHF. |
| [Evaluate and Debug Generative AI](http://wandb.me/eval-debugging-gen-ai) | Carey Phelps
Founding Product Manager @ W&B | Practice evaluating and debugging Generative AI work using the W&B AI Developer Platform. |## 🚀 MLOps
| Course | Instructor | Description |
|--------|------------|-------------|
| [Model CI/CD](https://www.wandb.courses/courses/enterprise-model-management) | Noa Schwartz
Product Manager @ W&B
Darek Kłeczek
MLE @ W&B
Hamel Husain
Founder @ Parlance Labs | Overcome model chaos, automate workflows, ensure governance, and streamline the end-to-end model lifecycle. |
| [Effective MLOps: Model Development](https://www.wandb.courses/courses/effective-mlops-model-development) | Thomas Capelle
MLE @ W&B
Darek Kłeczek
MLE @ W&B
Hamel Husain
Founder @ Parlance Labs | Learn to accelerate and scale model development, improve productivity, and ensure reproducibility. |
| [CI/CD for Machine Learning (GitOps)](https://www.wandb.courses/courses/ci-cd-for-machine-learning) | Hamel Husain
Founder @ Parlance Labs | Streamline ML workflows using GitHub Actions and integrate W&B experiment tracking. |
| [Data Validation in Production ML Pipelines](https://www.wandb.courses/courses/data-validation-for-machine-learning) | Shreya Shankar
PhD student @ UC Berkeley | Build robust production ML pipelines, detect data drift, and manage data quality. |
| [ML for Business Decision Optimization](https://www.wandb.courses/courses/decision-optimization) | Dan Becker
| Optimize business decisions and translate ML predictions into actionable insights. |## 📊 W&B Tools
| Course | Instructor | Description |
|--------|------------|-------------|
| [W&B 101](https://www.wandb.courses/courses/wandb-101) | Scott Condron
MLE @ W&B | Introduction to W&B with a focus on experiment tracking, visualization, and optimization. |
| [W&B 201: Model Registry](https://www.wandb.courses/courses/201-model-registry) | Ken Lee
MLE @ W&B | Advanced model management using W&B for logging, registering, and managing ML models. |## 🌍 International Courses
| Course | Language | Description |
|--------|----------|-------------|
| [효율적인 MLOps: 모델 개발](https://www.wandb.courses/courses/effective-mlops-model-development-ko) | Korean | Comprehensive program on bringing ML models to life, optimizing performance, and preparing for primetime. |
| [効果的なMLOps: モデル開発](https://www.wandb.courses/courses/effective-mlops-model-development-jp) | Japanese | Learn to accelerate and scale model development, improve productivity, and ensure reproducibility. |## 🏫 Resources for Educators
- [Materials for Educators, TAs, and Students](https://github.com/wandb/edu/tree/main/edu_resources/)
## 🧮 Math for ML
- [Math refresher for Machine Learning](https://github.com/wandb/edu/tree/main/math-for-ml)
For more information and to enroll in courses, visit the [W&B AI Academy website](https://wandb.courses).