DevOps and AI on AWS: AIOps

DevOps and AI on AWS: AIOps

This course is part of DevOps and AI on AWS Specialization

Instructors: Russell Sayers

1,758 already enrolled

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2 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

6 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

6 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

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

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments

Taught in English

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This course is part of the DevOps and AI on AWS Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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There are 2 modules in this course

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.

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.

What's included

7 videos6 readings2 assignments1 app item1 plugin

7 videos Total 32 minutes

Introduction to the Course 6 minutes
Module 1 Introduction 1 minute
Observability 5 minutes
AIOps Fundamentals 5 minutes
Amazon CloudWatch Anomaly Detection 6 minutes
AWS X-Ray Insights 3 minutes
Amazon DevOps Guru 6 minutes

6 readings Total 41 minutes

Welcome to the Course 5 minutes
Pre-Course Survey 1 minute
Course Roadmap 5 minutes
Observability 5 minutes
AI Ops Fundamentals 10 minutes
Amazon Devops Guru 15 minutes

2 assignments Total 50 minutes

Pre-Assessment 20 minutes
Module 1 Quiz 30 minutes

1 app item Total 60 minutes

Instrument the Application and View Traces on X-Ray 60 minutes

1 plugin Total 10 minutes

Pre-Course Survey 10 minutes

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.

What's included

3 videos3 readings2 assignments1 plugin

3 videos Total 10 minutes

Module 2 Introduction 1 minute
Amazon Q Developer Security Scanning 5 minutes
Course Closing 4 minutes

3 readings Total 31 minutes

Amazon Q Developer Security Scanning 15 minutes
Post-Course Survey 1 minute
Glossary 15 minutes

2 assignments Total 90 minutes

Self-Reflection 30 minutes
Post Assessment 60 minutes

1 plugin Total 10 minutes

Post-Course Survey 10 minutes

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Instructors

Russell Sayers

Amazon Web Services

21 Courses 133,332 learners

Offered by

Amazon Web Services

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