Learn generative AI fundamentals using AWS, covering AI history, machine learning basics, large language models, prompt engineering, and ethical considerations, with guided exercises and a SageMaker project for domain adaptation.
Overview
Syllabus
- Artificial Intelligence in Context
- Explore AI's evolution and everyday impact, covering its history, societal prevalence, and industry applications.
- Fundamentals of AI and ML
- Introduction to AI and ML basics, covering their relationship, machine learning models, types, and approaches, plus generative AI.
- Using Large Language Models (LLMs)
- This lesson covers LLMs, focusing on their evolution, transformer architectures, training methods, prompt engineering, and fine-tuning.
- Real-world Applications of Generative AI
- Examine generative AI's societal impact, focusing on creative applications, ethical use, diversity in AI, and policy implications.
- Project: Building a Domain Expert Model
- In this project, you'll fine-tune a text generation large language foundation model for domain adaptation to be a domain expert using AWS Sagemaker
Taught by
Matthew Purcell