GitHub: Codespaces, Actions, and Ecosystem Tools

Learn to build cloud-based development environments with GitHub Codespaces, run GPU-accelerated AI workloads, use GitHub Copilot for AI-assisted coding, and automate CI/CD pipelines with GitHub Actions. This hands-on course walks you through launching Codespaces from repository templates, configuring dev containers for different machine types, and running NVIDIA GPU instances for machine learning tasks. You will use Whisper for speech-to-text transcription on GPU-enabled Codespaces and explore Hugging Face for model hosting, datasets, and fine-tuning pre-trained models. The course demonstrates GitHub Copilot and Copilot Labs for code suggestions, code translation, and conversational development via Copilot Chat. You will also build GitHub Actions workflows using YAML configuration files to automate testing and deployment on Ubuntu containers. By the end, you will integrate Codespaces, Copilot, and Actions into a unified end-to-end development workflow. Each lesson includes live demonstrations inside real GitHub repositories, giving you practical experience with the tools used in professional software teams

• Launch and configure GitHub Codespaces with dev containers, including GPU-enabled instances for AI workloads like Whisper transcription
• Use GitHub Copilot and Copilot Labs for AI-assisted code generation, code translation, and conversational development with Copilot Chat
• Build GitHub Actions CI/CD workflows using YAML configuration files to automate testing and deployment on containers

• No deep prior experience is required, but basic computer and internet skills are helpful
• Ability to read course instructions in English and complete short practice activities