Introducing Generative AI with AWS

Course

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.

Built in collaboration with

AWS

Beginner
2 weeks
Last Updated January 15, 2025

Skills you'll learn:

Convolutional neural networksAmazon sagemaker

Prerequisites:

Basic Python

Beginner

2 weeks

Last Updated January 15, 2025

Skills you'll learn:

Convolutional neural networks • Amazon sagemaker • Generative AI Fluency • Prompt Engineering

Prerequisites:

Basic Python

Course Lessons

Lesson 1

Artificial Intelligence in Context

Explore AI's evolution and everyday impact, covering its history, societal prevalence, and industry applications.

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.

The Udacity Difference

Combine technology training for employees with industry experts, mentors, and projects, for critical thinking that pushes innovation. Our proven upskilling system goes after success—relentlessly.

Demonstrate proficiency with practical projects

Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.

Gain proven experience
Retain knowledge longer
Apply new skills immediately

Top-tier services to ensure learner success

Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work.