Explore the intersection of DevOps and Generative AI on AWS in this hands-on course. Learn to enhance existing applications with powerful AI features using Amazon Bedrock's large language models (LLMs). You'll gain practical experience in implementing customized text generation, mastering prompt engineering, and applying advanced techniques like fine-tuning and Retrieval Augmented Generation (RAG).
DevOps and AI on AWS: Upgrading Apps with Generative AI
DevOps and AI on AWS: Upgrading Apps with Generative AI
本课程是 DevOps and AI on AWS 专项课程 的一部分
位教师：Morgan Willis
2,984 人已注册
包含在 
中
您将学到什么
Understanding observability and its importance in application development
Practical use cases for AIOps in real-world scenarios
Key components of AIOps, including anomaly detection, predictive analysis, automated root cause analysis, and remediation
您将获得的技能
要了解的详细信息
可分享的证书
添加到您的领英档案
作业
4 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
本课程是 DevOps and AI on AWS 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
- 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
- 获得可共享的职业证书
该课程共有2个模块
This module introduces the TravelGuideAI application, a travel guide application that will be upgraded with generative AI features. It covers the course overview, source code repositories, and the tools and services required for developing generative AI applications, such as Amazon Bedrock, prompt engineering, and Amazon Q Developer.
涵盖的内容
10个视频4篇阅读材料2个作业1个应用程序项目1个插件
This module focuses on integrating generative AI features into the TravelGuideAI application using Amazon Bedrock. It covers branching strategies, upgrading the application, deploying the updated application, and exploring advanced topics like customizing Amazon Bedrock models, responsible AI, and the need for DevOps practices.
涵盖的内容
10个视频3篇阅读材料2个作业1个应用程序项目1个讨论话题1个插件
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学生评论
4.6
25 条评论
- 5 stars
72%
- 4 stars
24%
- 3 stars
0%
- 2 stars
0%
- 1 star
4%
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SO
5
已于 Jun 13, 2025审阅
It very much technical course not just the theoretical also it has very good 2 hands on lab to understand and implement the course concepts
SK
5
已于 May 13, 2025审阅
I can understand more about AWS services that they can apply in GenAI projects. This course can help me to work in my project.
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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 Specialization, 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.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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