DevOps and AI on AWS: CI/CD for Generative AI Applications

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DevOps and AI on AWS: CI/CD for Generative AI Applications

本课程是 DevOps and AI on AWS 专项课程的一部分

位教师：Russell Sayers

1,917 人已注册

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3个模块

深入了解一个主题并学习基础知识。

12 条评论

初级等级

推荐体验

1 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

3个模块

深入了解一个主题并学习基础知识。

12 条评论

初级等级

推荐体验

1 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

Implement DevOps practices including automated builds, testing, and continuous integration pipelines.
Design and execute automatic deployments using Amazon CodeDeploy in a CI/CD pipeline.
Demonstrate how DevOps and AIOps practices improve continuous releases, time to market, and reduce human error in app development and operations.
Apply AI-enhanced monitoring and observability techniques using Amazon CloudWatch Anomaly Detection and AWS X-Ray Insights.

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作业

5 项作业

授课语言：英语（English）

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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。

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该课程共有3个模块

In this course, we focus on the DevOps practices of building, deploying, and managing applications enhanced with generative AI features. You’ll learn how to implement Continuous Integration and Continuous Deployment (CI/CD) pipelines, explore strategies for reliable automation, and improve monitoring and observability for your applications. The course emphasizes practical skills to streamline releases, reduce potential errors, and maintain high-quality, scalable systems in dynamic cloud environments.

With dedicated modules for Automatic deployments, Infrastructure as Code, Monitoring, and Operations, you’ll improve your understanding and ability to execute as a Developer or DevOps Engineer. Get comfortable with AWS services by learning how to use Amazon CodeDeploy in a CI/CD pipeline and using the AWS Cloud Development Kit. You’ll then use AWS Services to help with observability and monitoring (Amazon CloudWatch Anomaly detection and AWS X-Ray insights) - both services with AI features to help with more effective monitoring and alarms. By the end of this course, you’ll have built a robust application that supports continuous releases, improves time to market for new features and fixes, and reduce potential for human error.

This module introduces the fundamentals of DevOps and its role in modern software development. It covers key principles such as Continuous Integration (CI), Infrastructure as Code (IaC), and automation, providing a foundation for managing infrastructure efficiently. You will explore how DevOps integrates with generative AI workflows, addressing unique challenges like AI model testing and deployment.

涵盖的内容

11个视频8篇阅读材料2个作业1个应用程序项目2个插件

11个视频总计67分钟

Introduction to the Course 3分钟
Introduction to DevOps 6分钟
Module 1 Introduction 1分钟
The Role of IaC in DevOps 7分钟
The Code Phase 6分钟
GenAI Considerations for DevOps 4分钟
The Build 10分钟
The Test 7分钟
Testing Generative AI Applications 6分钟
Adding Tests to Continuous Integration 7分钟
Continuous Integration 9分钟

8篇阅读材料总计52分钟

Welcome to the course 5分钟
Pre-Course Survey 1分钟
Course Roadmap 5分钟
DevOps and IaC 10分钟
GenAI considerations for DevOps 10分钟
Code build tools and services 10分钟
Continuous Integration 10分钟
Mid-Course Survey 1分钟

2个作业总计30分钟

Pre-Assessment 20分钟
Module 1 Quiz 10分钟

1个应用程序项目总计60分钟

Set Up CI/CD Pipeline 60分钟

2个插件总计25分钟

Pre-Course Survey 10分钟
Mid-Course Survey 15分钟

This module focuses on deployment strategies and automation in a DevOps pipeline. Learners gain hands-on insights into AWS CodeDeploy, AWS CloudFormation, and AWS CDK, understanding how to automate infrastructure provisioning and application releases. The module also explores best practices for reducing downtime, troubleshooting deployments, and ensuring smooth model rollouts in generative AI applications.

涵盖的内容

12个视频4篇阅读材料1个作业1个应用程序项目

12个视频总计72分钟

Module 2 Introduction 3分钟
Deployment Strategies for Amazon EC2 8分钟
Understanding the AppSpec file 4分钟
Using AWS CodeDeploy in a Pipeline 4分钟
Troubleshooting Deployment Details and Errors 5分钟
CI/CD Pipelines for Infrastructure Components 4分钟
Introduction to AWS CloudFormation 6分钟
Reviewing an AWS CloudFormation Template 8分钟
AWS CloudFormation: How to Handle and Prevent Errors 6分钟
Troubleshooting AWS CloudFormation 5分钟
Using the AWS Cloud Development Kit 8分钟
Deploying Our Application Stack Using the AWS CDK 11分钟

4篇阅读材料总计45分钟

Deployment Strategies for Serverless 10分钟
AWS CloudFormation Extended Features 15分钟
Troubleshooting AWS CloudFormation 10分钟
AWS Cloud Development Kit 10分钟

1个作业总计10分钟

Module 2 Quiz 10分钟

1个应用程序项目总计60分钟

Deploy Application Infrastructure Using CDK With a CI/CD Pipeline 60分钟

This module explores the importance of monitoring, observability, and operational management in DevOps workflows. Learners discover how to use Amazon CloudWatch, AWS CloudTrail, AWS X-Ray, and AWS Systems Manager to track application performance, detect issues, and ensure infrastructure stability. Special focus is given to observability in generative AI applications, highlighting metrics, logging, and automated response strategies to maintain system reliability.

涵盖的内容

11个视频7篇阅读材料2个作业2个应用程序项目1个插件

11个视频总计74分钟

Module 3 Introduction 1分钟
Cloud Monitoring with Amazon CloudWatch 9分钟
AWS CloudTrail: Activity and Administrative API Monitoring on AWS 14分钟
Instrumenting the Application with AWS X-Ray 10分钟
Amazon CloudWatch Application Monitoring 8分钟
Infrastructure Management and Operations 5分钟
AWS Config: Detecting Configuration Changes to Your Cloud Resources 7分钟
AWS Systems Manager: An Operations Hub for Cloud Environments 2分钟
Exploring AWS Systems Manager 5分钟
Remotely Run Commands on Your Servers 8分钟
Node Management Features Powered by Systems Manager 7分钟

7篇阅读材料总计66分钟

Amazon CloudWatch 10分钟
AWS CloudTrail 10分钟
AWS X-Ray 10分钟
AWS Config 10分钟
AWS Systems Manager 5分钟
Post-Course Survey 1分钟
Glossary 20分钟

2个作业总计25分钟

Module 3 Quiz 10分钟
Final Assessment 15分钟

2个应用程序项目总计120分钟

Amazon CloudWatch Anomaly Detection 60分钟
Systems Manager for Diagnostics 60分钟

1个插件总计10分钟

Post-Course Survey 10分钟

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位教师

Russell Sayers

Amazon Web Services

21 门课程 133,532 名学生

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学生评论

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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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