AI Fundamentals and the Cloud

Overview

Begin your AI journey by understanding fundamental concepts and ethical considerations of artificial intelligence in the cloud. This course introduces you to AI technology, focusing on how different models work and their practical applications. You'll learn to distinguish between Large Language Models (LLMs) and Foundation Models (FMs), understand responsible AI practices, and gain hands-on experience with Amazon PartyRock. Through practical exercises and real-world examples, you'll develop essential prompt engineering skills and learn how AI can enhance productivity across various job roles. The course concludes with an exploration of key AWS AI services, including Amazon Bedrock, Q Developer, Q Business, and SageMaker, providing you with a solid foundation for AI solution development.

Syllabus

MODULE 1 - Introduction to AI
This course introduces AI and focuses on how to use it responsibly. You’ll learn about the differences between Large Language Models (LLMs) and Foundation Models (FMs), including private and public models. Along the way you’ll discover how AI works, how it's trained on data, and the basics of machine learning. Key topics include the impact of AI on privacy, fairness, decision-making, and prompt engineering.

C1-M1-A-00 - Welcome to the Course
C1-M1-A-05 - Course Roadmap (Graphic)
C1-M1-A-10 - Introduction to AI
C1-M1-A-20 - AI / ML and the data
C1-M1-A-30 - LLMs and FMs
C1-M1-A-40 - Responsible AI
C1-M1-A-50 - Responsible AI - Reading
C1-M1-A-60 - Prompt Engineering
C1-M1-A-70 - Module 1 Wrap Up
C1-M1-A-80 Module 1 Quiz

MODULE 2 - Rocking out with PartyRock
Module Description: This module will walk you through getting started with Amazon PartyRock. This service is able to handle much more than just text prompts, and you’ll get a chance to see this in action. You’ll see a demo of PartyRock, showcasing how to use chat prompts, generate images, and create widgets or applications. There’s also a hands-on exercise where you’ll build an application using PartyRock.

C1-M2-A-10 - Module 2 Introduction
C1-M2-A-20 - Amazon PartyRock
C1-M2-A-30 - Amazon PartyRock Demo
C1-M2-A-35 - Tech Talk: PartyRock, an Amazon Bedrock Playground (Alex, Oksana, Raf)
C1-M2-A-40 - PartyRock Hands Exercise
C1-M2-A-50 - Reading: AI Chat Bots and Work
C1-M2-A-60 - Module 2 Reading
C1-M2-A-70 Module 2 Quiz

MODULE 3 - Getting started with AWS AI Services
Module Description: This module covers several Amazon AI tools. You’ll learn about Amazon Bedrock and how it helps developers build and scale generative AI applications. Next, you'll explore Amazon Q Developer and Amazon Q Business, and how they can be used to create and solve business challenges. Finally, you’ll dive into Amazon SageMaker AI, learning how it can help data scientists deploy machine learning models at scale.

C1-M3-A-10 - Module 3 Introduction
C1-M3-A-20 - Amazon Bedrock
C1-M3-A-25- Lab -Introduction to the Amazon Bedrock Console
C1-M3-A-30 - Amazon Q Developer
C1-M3-A-40 - Amazon Q Business
C1-M3-A-50 - Amazon Sagemaker AI
C1-M3-A-70 - Course Wrap Up
C1-M3-A-80 Module 3 Final Assessment