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.



DevOps and AI on AWS: AIOps
This course is part of DevOps and AI on AWS Specialization



Instructors: Morgan Willis
Access provided by Coursera Learning Team
Recommended experience
What you'll learn
Understand AIOps and its role in addressing operational challenges. Implement AI-driven monitoring to reduce alarm fatigue and information overload.
Details to know

Add to your LinkedIn profile
4 assignments
March 2025
See how employees at top companies are mastering in-demand skills

Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate


Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review

There are 2 modules in this course
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 videos7 readings2 assignments1 app item1 discussion prompt1 plugin
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
Offered by
Why people choose Coursera for their career




Recommended if you're interested in Information Technology
Amazon Web Services
Amazon Web Services
Amazon Web Services
Amazon Web Services

Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy