Welcome to the AI Immersion Workshop! This is a 7-day journey into the world of Large Language Models (LLMs) and AI development.
This repository is organized on a day-by-day basis. New content will be uploaded progressively, allowing you to follow along at a steady pace.
ai-workshop/
├── README.md
├── day-1/
├── day-2/
├── day-3/
├── day-4/
├── day-5/
├── day-6/
└── day-7/
Each day's folder will contain:
- 📚 Learning materials
- 💻 Code examples
- 🔧 Setup instructions
- 📝 Practice exercises
- 🔗 Resource links
Before starting the course:
- Basic Python knowledge
- Google account for Colab
- GitHub account (optional)
- AWS account (needed from Day 3)
- Introduction to LLMs
- Development environment setup
- Basic LLM interaction
- Amazon Bedrock
- Claude integration
- Cloud development
- Google Gemini
- Vision + Language
- Advanced features
- OpenAI API
- Advanced features
- Assistants API
- Ollama setup
- Local model deployment
- Basic prompt engineering
- Advanced techniques
- Best practices
- Real-world applications
- Practical implementation
- Best practices
- Future directions
- Start with Day 1 folder
- Complete setup instructions
- Follow daily materials
- Practice with provided examples
- Check solutions (when available)
- Prepare for next day
In youer IDE use
git clone https://github.com/aicampg/aisg-5-day-aiimmersion.git
- Check the FAQ in each day's folder
- Review troubleshooting guides
- Use community channels (AI Camp slack channel) (if available)
- Open issues for technical problems
- Content is updated daily
- Complete prerequisites before starting
- Follow setup instructions carefully
- Practice exercises are crucial
Found an issue or want to improve the content?
- Open an issue
- Submit a pull request
- Follow contribution guidelines
This workshop is brought to you by AI Camp, incorporating various open-source tools and platforms.