All Things Open Courses

10 Lessons from Building AI-Powered Features

Gain insights into practical lessons and strategies for integrating AI features into existing systems, from prompt engineering to responsible AI implementation, based on GitHub Copilot team experiences.

• YouTube
• 45 minutes
• Self-Paced
• Free Video

A Deep Dive into Vector Search Technology and Tools

Explore vector search technology through practical demonstrations of ClickHouse, OpenSearch, and PGVector, learning how AI models convert text to vectors for enhanced contextual search capabilities.

• YouTube
• 44 minutes
• Self-Paced
• Free Video

Training and Serving LLMs on Kubernetes: A Beginner's Guide

Master the fundamentals of deploying and managing Large Language Models on Kubernetes, covering essential concepts from basic architecture to practical implementation strategies for training and serving.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

LangChain Legends: Building LLM-Powered Applications

Master LangChain's framework for building powerful LLM applications through hands-on exploration of prompt templates, chains, agents, and memory, culminating in creating a practical RAG application.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

Simplifying Generative AI App Development - Standardization Matters

Explore best practices and open standards for generative AI development, focusing on LLM-based applications and RAG techniques while examining reference architectures and community initiatives.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Advanced Retrieval Augmented Generation (RAG) Techniques

Master advanced RAG implementation techniques, focusing on chunking strategies, embedding model selection, and metadata structuring for building more effective and business-valuable AI applications.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

Accelerating the Next Generation of Multimedia with GPUs

Discover how to build high-performance live streaming services using the Babit Multimedia Framework (BMF), leveraging GPU acceleration and multi-language support for advanced video processing and broadcasting.

• YouTube
• 17 minutes
• Self-Paced
• Free Video

From Retrieval to Real-Time Action: RAG, ReAct, and Flow Orchestrator in Building Smarter AI Bots

Explore cutting-edge AI techniques like RAG and ReAct, and learn how Microsoft's Flow Orchestrator enables dynamic, context-aware AI applications through a practical coding interviewer bot demonstration.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

Is AI Sexist? Examining Gender Bias in Large Language Models

Explore how gender bias manifests in AI systems, particularly in Large Language Models, and learn practical steps to identify, understand, and address these biases in technology development.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

TypeScript and Your Codebase - Proof That They Deserve Each Other

Discover how TypeScript enhances codebases through static typing, interfaces, and generics, enabling more robust and maintainable applications while reducing bugs and improving team collaboration.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

A Web Performance Story - Using Open Source Datasets for Performance and User Experience

Discover how to leverage open source datasets for web performance optimization, understanding RUM vs LAB data, and making informed decisions to enhance user experience and site performance.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

Build AI Apps in 5 Minutes - Live Demo with Vercel AI SDK, v0.dev, and RAG

Dive into rapid AI app development using Vercel AI SDK, v0.dev, and RAG through a practical demonstration showcasing how to build and deploy powerful AI applications in minutes.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

How We Built and Use Cody - An Open Source AI Designed for Large, Messy Codebases

Discover how Cody, an open-source AI coding engine, tackles real-world development challenges through code search integration, technical context awareness, and practical demonstrations of developer workflow optimization.

• YouTube
• 44 minutes
• Self-Paced
• Free Video

Exploring the Power of React Server Components

Discover how to effectively implement React Server Components in Next.js applications, understanding their fundamentals, use cases, and the distinction between server and client components.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Introducing Firebase Genkit - Adding AI-Powered Features to Node.js and Go Backends

Master Firebase Genkit's framework for building AI-powered backends in Node.js and Go, including LLM integration, RAG implementation, testing tools, and production deployment strategies.

• YouTube
• 43 minutes
• Self-Paced
• Free Video