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)
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Introduction to LLMs
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Development environment setup
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Basic LLM interaction
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Amazon Bedrock
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Claude integration
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Cloud development
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Google Gemini
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Vision + Language
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Advanced features
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OpenAI API
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Advanced features
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Assistants API
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Ollama setup
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Local model deployment
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Basic prompt engineering
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Advanced techniques
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Best practices
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Real-world applications
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Practical implementation
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Best practices
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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-7-day-aiimmersion.git
Alternatively run directly in IDX(make sure you have less than 5 projects) LINK
- 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
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Content is updated daily
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Complete prerequisites before starting
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Follow setup instructions carefully
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Practice exercises are crucial
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The IDX workshops were tested before the workshops, without maintenance it is expected that workshops will work within only a certain period.
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 London, incorporating various open-source tools and platforms.