This repository contains examples for customers to get started using Amazon Bedrock Data Automation. The samples focus mainly on document processing use cases

AirPods liberated from Apple's ecosystem.

Agent samples built using the Strands Agents SDK.

Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.

React - The Complete Guide Course Resources (Code, Attachments, Slides)

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, and Python. Designed for d…

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

11 Lessons to Get Started Building AI Agents

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

Implementation of all RAG techniques in a simpler way

Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

All Algorithms implemented in Python

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

A collection of MCP servers.

Google Research

A solution for collecting, correlating and visualizing multiple types of logs to help investigate security incidents.

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)