Introduction to Generative AI

Week 1: Foundations of Generative AI

- Learn what generative AI is and how it has evolved from early AI to the large language models used today

- Understand how these models work in applications by learning about model architectures and the training process

- Get an overview of major foundation models like ChatGPT and Hugging Face, highlighting their capabilities and limitations

- Explore the generative AI landscape, comparing options like open source models, local models, and cloud APIs

Week 2: Interacting with Models

- Learn the fundamentals of prompt engineering to interact effectively with generative AI models

- Understand the concept of few-shot prompting and practice basic prompting techniques using context and examples

- Learn methods for improving prompts through personas, detailed instructions, and iteration based on feedback

- Explore more advanced skills like breaking down tasks, chaining prompts, and other techniques to overcome context limitations

Week 3: Building Robust Generative AI Systems

- Explore different types of generative AI applications, including API-based, embedded model, and multi-model systems

- Learn the fundamentals of building robust applications using techniques like Retrieval Augmented Generation (RAG) to improve context

- Gain hands-on experience testing an application locally and deploying it on the cloud using tools like Azure