Are you working with DevOps to help more efficiently and cost-effectively bring value to your customers? Curious about how AIOps could further strengthen this collaboration by helping to refine requirements, set up plans, automate repetitive tasks and improve the speed and efficiency of your software development efforts? Maximize this union and move from reactive troubleshooting to proactive, data-driven problem prevention.
DevOps and AI on AWS: Build Smarter, Faster Specialization
DevOps and AI on AWS: Build Smarter, Faster Specialization
Amplify your Dev Team with DevOps and AI on AWS. In this program, you’ll walk through each step of the DevOps flywheel to create a CICD pipeline.
Instructors: Russell Sayers
Included with 
Get in-depth knowledge of a subject
(35 reviews)
Beginner level
Recommended experience
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
(35 reviews)
Beginner level
Recommended experience
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
How to use an Amazon Bedrock large language model (LLM) to generate customized text generation
Implement Continuous Integration and Continuous Deployment pipelines, explore strategies for reliable automation & improve monitoring & observability
Explore how AIOps can help streamline operations, improve the way we monitor applications, and automate responses to common problems
Overview
Skills you'll gain
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
13 practice exercises
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from Amazon Web Services
Specialization - 3 course series
What you'll learn
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
Skills you'll gain
Amazon Bedrock, Generative AI, Application Deployment, Responsible AI, Prompt Engineering, Git (Version Control System), DevOps, Amazon Web Services, Artificial Intelligence, Amazon Elastic Compute Cloud, CI/CD, Unit Testing, Application Lifecycle Management, and LLM Application
What you'll learn
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.
Skills you'll gain
DevOps, CI/CD, Amazon CloudWatch, Application Deployment, Infrastructure as Code (IaC), AWS CloudFormation, System Monitoring, Generative AI, Continuous Integration, Amazon Web Services, Application Performance Management, Cloud Management, Cloud Applications, Release Management, Automation, and Continuous Deployment
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
Anomaly Detection, Amazon Web Services, DevOps, Artificial Intelligence and Machine Learning (AI/ML), Amazon CloudWatch, Code Review, CI/CD, Predictive Analytics, Application Performance Management, Vulnerability Scanning, DevSecOps, Continuous Monitoring, MLOps (Machine Learning Operations), IT Automation, and System Monitoring
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructors
Offered by
Compare with similar products
| Rating | ||||
|---|---|---|---|---|
| Level | ||||
| Skills | ||||
| Tools | ||||
| Last updated | ||||
| Number of practice exercises | ||||
| Degree eligibility | ||||
| Part of Coursera Plus |
You might also like
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
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
Frequently asked questions
We estimate that this specialization could be completed in 1 month (average 10 hours/week of learning).
AWS Cloud Technical Essentials
We recommend that this specialization be taken in sequential order, although some learners may prefer to browse through just one of the three courses if a topic is particularly interesting or valuable.
More questions
Financial aid available,