This introductory week will lay the groundwork for understanding what Generative AI is, its history, key concepts, and the diverse range of applications across various industries. You’ll explore the fundamental principles that enable machines to create new content.

Dive into the core of modern Generative AI by exploring Large Language Models. This week will focus on understanding their architecture, capabilities, and the exciting concept of multimodality – how LLMs can process and generate different types of data like text, images, and audio.

Learn the crucial art of prompt engineering – crafting effective instructions to guide Generative AI models. This week will cover fundamental techniques for eliciting desired outputs and understanding how different prompting strategies can influence the generated content.

Take your prompting skills to the next level. Explore advanced strategies for controlling creativity, fine-tuning outputs, handling complex tasks, and leveraging techniques like few-shot learning to get the most out of Generative AI models.

Get hands-on experience by applying your knowledge to a practical project. This week focuses on building a storytelling application using Generative AI, exploring how to generate narratives, develop characters, and create engaging textual content.

Discover the power of NotebookLM, an AI-powered research and writing tool. Learn how to effectively use its features to analyze documents, synthesize information, generate summaries, and enhance your research and creative writing workflows. Furthermore, you will gain hands-on experience in building your own research assistant utilizing the Gemini model with real-time streaming capabilities, enabling you to process and analyze information dynamically.

Apply your understanding of LLMs to a real-world application by building your own chatbot. This week will cover the key steps involved in designing, developing, and testing a conversational AI agent powered by a Large Language Model.

This final week will focus on practical tips and tricks for working effectively with Generative AI models. You’ll also explore the concept of AI agents and, critically, learn about the ethical considerations and responsible practices for developing and deploying Generative AI technologies.