Introducing Generative AI with AWS

Overview

Master the fundamentals of generative AI and develop a deep understanding of its historical context and real-world applications. Explore AI and machine learning foundations using AWS tools, large language models (LLMs) with transformer-based architectures, and the societal impacts of generative AI to understand AI's evolution and ethical deployment.

Engage in exercises on AI history, machine learning approaches, prompt engineering, and responsible AI use to apply your knowledge in practical scenarios. Develop skills in distinguishing AI from ML, exploring LLMs, and emphasizing ethical AI deployment, enabling you to apply these concepts in real-world applications.

Designed for learners with basic Python knowledge, this program empowers you to advance your understanding of generative AI.

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

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Taught by

Matthew Purcell

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Subjects

Computer Science