Section outline

• Select section Day 1: Foundations of Generative AI

  Day 1: Foundations of Generative AI

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  • Module 1: Overview of Generative AI (1 Hour)
    • Evolution, generative vs. discriminative models, popular generative models.
  • Module 2: Understanding Generative Models (2 Hours)
    • Transformer architecture and applications of GPT models.
  • Module 3: Setting Up the Environment (1 Hour)
    • Tools, libraries, and cloud resources for development.
  • Module 4: Hands-on Lab: Building a Simple Generative Model (3 Hours)
    • Create and fine-tune a text generation model using GPT-2.
• Select section Day 2: Advanced Techniques in Generative AI

  Day 2: Advanced Techniques in Generative AI

  • Module 5: Fine-Tuning and Customization (2 Hours)
    • Techniques for fine-tuning large language models with custom datasets.
  • Module 6: Introduction to Prompt Engineering (2 Hours)
    • Basics, crafting prompts, and avoiding common pitfalls.
  • Module 7: Hands-on Lab: Prompt Engineering with GPT-3 (3 Hours)
    • Experiment with prompts for tasks like content generation, Q&A, and summarization.
• Select section Day 3: Applications, Ethics, and Future of Generative AI

  Day 3: Applications, Ethics, and Future of Generative AI

  • Module 8: Applications of Generative AI (2 Hours)
    • Use cases in content creation, coding, marketing, and gaming.
  • Module 9: Ethical Considerations and Limitations (2 Hours)
    • Addressing bias, legal implications, and responsible AI strategies.
  • Module 10: Hands-on Project: AI Application Development (3 Hours)
    • Build and integrate a functional AI application with APIs and user interfaces.