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Educational materials on deep learning by Weights & Biases
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Educational materials on deep learning by Weights & Biases

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Weights & Biases
Weights & Biases

# 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).