Lesson 1
Artificial Intelligence in Context
Explore AI's evolution and everyday impact, covering its history, societal prevalence, and industry applications.
Introducing Generative AI with AWS
Course
"Introducing Generative AI with AWS," a beginner-level Udacity course, delves into generative AI, focusing on its fundamentals, historical context, and real-world applications. It covers AI and ML foundations, Large Language Models (LLMs) with transformer-based architectures, and the societal impacts of generative AI. The course aims to impart a deep understanding of AI's evolution, distinguish AI from ML, explore LLMs, and emphasize ethical AI deployment. It includes exercises on AI history, ML approaches, prompt engineering, and responsible AI use. Prerequisites are basic Python.
"Introducing Generative AI with AWS," a beginner-level Udacity course, delves into generative AI, focusing on its fundamentals, historical context, and real-world applications. It covers AI and ML foundations, Large Language Models (LLMs) with transformer-based architectures, and the societal impacts of generative AI. The course aims to impart a deep understanding of AI's evolution, distinguish AI from ML, explore LLMs, and emphasize ethical AI deployment. It includes exercises on AI history, ML approaches, prompt engineering, and responsible AI use. Prerequisites are basic Python.
Built in collaboration with
AWS
Beginner
4 weeks
Real-world Projects
Completion Certificate
Last Updated February 1, 2024
Convolutional neural networks • Amazon sagemaker • Generative AI Fluency • Prompt Engineering
Basic Python
Course Lessons
Lesson 2
Fundamentals of AI and ML
Introduction to AI and ML basics, covering their relationship, machine learning models, types, and approaches, plus generative AI.
Lesson 3
Using Large Language Models (LLMs)
This lesson covers LLMs, focusing on their evolution, transformer architectures, training methods, prompt engineering, and fine-tuning.
Lesson 4
Real-world Applications of Generative AI
Examine generative AI's societal impact, focusing on creative applications, ethical use, diversity in AI, and policy implications.
Lesson 5 • Project
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 The Best
Matthew Purcell
Senior Technical Trainer (AI/ML) at Amazon Web Services
Matthew Purcell is a Senior Technical Trainer at AWS specializing in artificial intelligence and machine learning. Prior to joining AWS, Matt was a high school teacher and head of department for 14 years, integrating AWS AI/ML cloud technologies into high school digital technologies curriculum. His passion is making advanced technologies approachable for everyone, which he has continued doing at AWS through developing educational content for AWS DeepRacer, AI/ML workshops for AWS Summits and AWS re:Invent.
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