Educational materials on deep learning by Weights & Biases
691
stars
691
commits
Jupyter Notebook
primary language
Jul 28, 2026
updated
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++ | 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 | 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 | Jason Liu Independent Consultant | Improve LLM engineering skills, learn about structured JSON output handling, function calling, and complex validations. |
| 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 | 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 | 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 | 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 | 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) | Hamel Husain Founder @ Parlance Labs | Streamline ML workflows using GitHub Actions and integrate W&B experiment tracking. |
| Data Validation in Production ML Pipelines | Shreya Shankar PhD student @ UC Berkeley | Build robust production ML pipelines, detect data drift, and manage data quality. |
| ML for Business Decision Optimization | Dan Becker | Optimize business decisions and translate ML predictions into actionable insights. |
📊 W&B Tools
| Course | Instructor | Description |
|---|---|---|
| W&B 101 | Scott Condron MLE @ W&B | Introduction to W&B with a focus on experiment tracking, visualization, and optimization. |
| W&B 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 | 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 | Japanese | Learn to accelerate and scale model development, improve productivity, and ensure reproducibility. |
🏫 Resources for Educators
🧮 Math for ML
For more information and to enroll in courses, visit the W&B AI Academy website.
Contributors
Similar repos
Languages
Jupyter Notebook
88.9%
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Educational materials on deep learning by Weights & Biases
691
stars
691
commits
Jupyter Notebook
primary language
Jul 28, 2026
updated
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++ | 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 | 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 | Jason Liu Independent Consultant | Improve LLM engineering skills, learn about structured JSON output handling, function calling, and complex validations. |
| 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 | 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 | 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 | 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 | 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) | Hamel Husain Founder @ Parlance Labs | Streamline ML workflows using GitHub Actions and integrate W&B experiment tracking. |
| Data Validation in Production ML Pipelines | Shreya Shankar PhD student @ UC Berkeley | Build robust production ML pipelines, detect data drift, and manage data quality. |
| ML for Business Decision Optimization | Dan Becker | Optimize business decisions and translate ML predictions into actionable insights. |
📊 W&B Tools
| Course | Instructor | Description |
|---|---|---|
| W&B 101 | Scott Condron MLE @ W&B | Introduction to W&B with a focus on experiment tracking, visualization, and optimization. |
| W&B 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 | 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 | Japanese | Learn to accelerate and scale model development, improve productivity, and ensure reproducibility. |
🏫 Resources for Educators
🧮 Math for ML
For more information and to enroll in courses, visit the W&B AI Academy website.
Similar repos
Contributors
Languages
Jupyter Notebook
88.9%
Python
11.0%