NERD-Community-Ethiopia/generative-ai-course

Practical course on building, fine-tuning, and deploying generative AI agents with automation. # Generative AI & Automation – Course Repository Welcome to the official repository for the **Generative AI & Automation** course. This project demonstrates modern software development practices including CI/CD, automated testing, security scanning, and collaborative development workflows. ## 🚀 Quick Links - **Student Guide** - How to submit assignments - **Intern Guide** - Development workflow for team members - **Contributing Guidelines** - Complete contribution guide - **Security Policy** - Security guidelines and reporting - **Code of Conduct** - Community guidelines ## 📚 Course Overview This is an 8-week intensive course for intermediate/advanced students to gain hands-on experience with: - Building and deploying generative agents - Fine-tuning foundation models (LLMs, diffusion) - Working with multimodal AI (text, image, audio, video) - Hosting models as APIs and serving them for web and mobile front ends - Automating model workflows using GitHub Actions, Docker, and APIs - **Modern Development Practices**: CI/CD, testing, security, collaboration Each week includes 3 hours of lectures and 3 hours of practical workshops. ## 🏗️ Repository Structure ``` generative-ai-course/ ├── .github/ # GitHub configuration │ ├── workflows/ # CI/CD pipelines │ ├── ISSUE_TEMPLATE/ # Issue templates │ └── pull_request_template.md ├── lectures/week-01/ # Weekly lecture materials ├── workshops/week-01/ # Workshop starter kits ├── student-submissions/ # Student assignment submissions ├── scripts/ # Automation and utility scripts ├── tests/ # Test suite ├── docs/ # Documentation ├── capstone-projects/ # Final projects ├── .gitignore # Git ignore rules ├── requirements.txt # Python dependencies ├── pyproject.toml # Modern Python configuration ├── Dockerfile …