Amazon Web Services
DevOps and AI on AWS Specialization
Amazon Web Services

DevOps and AI on AWS 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. You'll learn about tools and services like AWS CodeBuild and Amazon CodeDeploy to automatically deploy changes to your applications. You'll finish the program learning about AI Ops and how it can reduce human intervention in IT Ops, decrease operational incidents and improve your applications.

Russell Sayers
Morgan Willis
Rafael Lopes

Instructors: Russell Sayers

Included with Coursera Plus

Get in-depth knowledge of a subject
Beginner level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Beginner level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace

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

Details to know

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Taught in English
Recently updated!

March 2025

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
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Specialization - 3 course series

What you'll learn

Skills you'll gain

Category: Application Lifecycle Management
Category: CI/CD Integration
Category: Software Lifecycle management
Category: Prompt Engineering
Category: DevOps Practices
Category: Large Language Models

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

Category: Infrastructure Automation
Category: DevOps Practices
Category: Cloud Monitoring
Category: CI/CD Implementation

DevOps and AI on AWS: AIOps

Course 35 hours

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

Category: Predictive Analytics
Category: Scalability Management
Category: Intelligent Monitoring
Category: AIOps Implementation
Category: DevOps Optimization

Instructors

Russell Sayers
Amazon Web Services
18 Courses107,218 learners

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