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.
This module introduces AI and focuses on how to use it responsibly. You learn about the differences between Large Language Models (LLMs) and Foundation Models (FMs), including private and public models. Along the way, you discover how AI works, how it's trained on data, and the basics of machine learning. Additional topics include the impact of AI on privacy, fairness, decision-making, and prompt engineering.
涵盖的内容
7个视频2篇阅读材料1个作业
显示有关单元内容的信息
7个视频•总计33分钟
Welcome to the Course•4分钟
Introduction to AI•6分钟
AI and the Data•3分钟
LLMs and FMs•6分钟
Responsible AI•6分钟
Prompt Engineering•6分钟
Module 1 Wrap Up•3分钟
2篇阅读材料•总计20分钟
Course Roadmap•5分钟
Responsible AI•15分钟
1个作业•总计15分钟
Module 1 Quiz•15分钟
Module 2: Rocking out with PartyRock
第 2 单元•小时 后完成
单元详情
This module walks you through getting started with PartyRock. This service is able to handle much more than just text prompts, and you get a chance to see this in action. You view 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 build an application using PartyRock.
涵盖的内容
4个视频1篇阅读材料2个作业
显示有关单元内容的信息
4个视频•总计15分钟
Module 2 Introduction•1分钟
PartyRock•3分钟
PartyRock Demo•6分钟
Tech Talk: PartyRock, a Bedrock Playground•4分钟
1篇阅读材料•总计15分钟
AI Chat Bots and Work•15分钟
2个作业•总计80分钟
PartyRock Hands-On Exercise•60分钟
Module 2 Quiz•20分钟
Module 3: Getting started with AWS AI Services
第 3 单元•小时 后完成
单元详情
This module covers several Amazon AI tools. You learn about Amazon Bedrock and how it helps developers build and scale generative AI applications. Next, you explore Amazon Q Developer and Amazon Q Business, and how they can be used to create and solve business challenges. Finally, you dive into Amazon SageMaker AI, learning how it can help data scientists deploy machine learning models at scale.
涵盖的内容
6个视频2篇阅读材料1个作业1个应用程序项目1个插件
显示有关单元内容的信息
6个视频•总计33分钟
Module 3 Introduction•3分钟
Amazon Bedrock Demo•7分钟
Amazon Q Developer•6分钟
Amazon Q Business•4分钟
Amazon Sagemaker AI•9分钟
Course Wrap Up•3分钟
2篇阅读材料•总计16分钟
Course 1 Glossary•15分钟
Post Course Survey•1分钟
1个作业•总计30分钟
Module 3 Final Assessment•30分钟
1个应用程序项目•总计60分钟
Lab: Introduction to the Amazon Bedrock Console•60分钟
Since 2006, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 90 fully featured services for compute, storage, networking, database, analytics, application services, deployment, management, developer, mobile, Internet of Things (IoT), Artificial Intelligence, security, hybrid and enterprise applications, from 44 Availability Zones across 16 geographic regions. AWS services are trusted by millions of active customers around the world — including the fastest-growing startups, largest enterprises, and leading government agencies — to power their infrastructure, make them more agile, and lower costs.
Coursera and AWS have been partners since 2017 providing learners and enterprises globally, the skills they need to succeed. Coursera builds on AWS servers to scale with student demand with confidence around capacity and elasticity and in partnership with AWS. In 2019, Coursera achieved Advanced Tier Partner status and further extended the partnership with AWS Educate, AWS EdStart and AWS Academy collaborations.
Coursera's been able to make cloud skills more accessible with 8 AWS courses on the Coursera platform featuring top subject matter experts and the portfolio continues to grow.
To learn more about AWS, visit https://aws.amazon.com.
The only thing keep this from being yet another excellent AWS offering are disconnects between the Lab Instructions and the Current State of the AWS Management Console
G
GM
5·
已于 Jun 27, 2025审阅
I have gained a lot of skills through these courses. Well design and presented in a simpler format.
C
CV
4·
已于 Jan 30, 2026审阅
Instructions/workarounds can be provided on navigating certain access issues during labs
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