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DevOps and AI on AWS: AIOps

DevOps and AI on AWS: AIOps

本课程是 DevOps and AI on AWS 专项课程的一部分

位教师：Russell Sayers

2,088 人已注册

包含在中

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2个模块

深入了解一个主题并学习基础知识。

10 条评论

初级等级

推荐体验

6 小时完成

灵活的计划

自行安排学习进度

2个模块

深入了解一个主题并学习基础知识。

10 条评论

初级等级

推荐体验

6 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Understand AIOps and its role in addressing operational challenges.
Implement AI-driven monitoring to reduce alarm fatigue and information overload.

您将获得的技能

您将学习的工具

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

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Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

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

In this course, we focus on how we can use AI techniques to improve our DevOps operational efficiency. We have added AI features to our applications, now it’s time to do the same for our DevOps processes. With our travel guide now in production, let’s dive into the challenges we’ll face as we scale – and how we can mitigate those challenges. As we scale, we’ll undoubtedly experience some monitoring alarms as we scan our development environment. In this scenario, information overload without the right tools can leave you stuck: you either have too much data with no clear direction on what’s actionable, or, in some cases, you don’t have enough of the right information and visibility to make informed decisions. That’s where AIOps can make a huge difference. AIOps is the process of using machine learning techniques to solve operational problems. The goal of AIOps is to reduce human intervention in the IT operations processes, reduce operational incidents, and improve your applications. Let’s learn how AIOps can help streamline operations, improve the way we monitor applications, and automate responses to common problems.

单元详情

This module introduces the concept of AIOps (Artificial Intelligence for IT Operations) and how it can enhance observability and address specific challenges in DevOps processes. It covers various AWS services and tools that leverage AI/ML to detect anomalies, identify performance issues, and improve operational efficiency.

涵盖的内容

7个视频6篇阅读材料2个作业1个应用程序项目1个插件

7个视频总计32分钟

Introduction to the Course6分钟
Module 1 Introduction1分钟
Observability5分钟
AIOps Fundamentals5分钟
Amazon CloudWatch Anomaly Detection6分钟
AWS X-Ray Insights3分钟
Amazon DevOps Guru6分钟

6篇阅读材料总计41分钟

Welcome to the Course5分钟
Pre-Course Survey1分钟
Course Roadmap5分钟
Observability5分钟
AI Ops Fundamentals10分钟
Amazon Devops Guru15分钟

2个作业总计50分钟

Module 1 Quiz30分钟
Pre-Assessment20分钟

1个应用程序项目总计60分钟

Instrument the Application and View Traces on X-Ray60分钟

1个插件总计10分钟

Pre-Course Survey10分钟

This module focuses on leveraging AI/ML to enhance the developer experience and improve code quality and security. It covers AWS services like Amazon CodeGuru and Amazon CodeCatalyst, which use AI/ML to provide intelligent code reviews, identify vulnerabilities, and offer personalized recommendations.