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.
AI Fundamentals and the Cloud
本课程是 AWS Generative AI Applications 专业证书 的一部分
位教师：Oksana Hoeckele
5,700 人已注册
包含在 
中
您将学到什么
AWS Services
Responsible AI
Business Applications
您将获得的技能
要了解的详细信息
添加到您的领英档案
May 2025
4 项作业
了解顶级公司的员工如何掌握热门技能
积累 Cloud Computing 领域的专业知识
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 通过 Amazon Web Services 获得可共享的职业证书
该课程共有3个模块
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1个讨论话题
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
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
获得职业证书
将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。
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学生评论
60 条评论
- 5 stars
72.13%
- 4 stars
18.03%
- 3 stars
8.19%
- 2 stars
0%
- 1 star
1.63%
显示 3/60 个
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.
常见问题
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
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提供助学金，