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.

Russell Sayers
Morgan Willis
Rafael Lopes

Instructors: Russell Sayers

Access provided by New York State Department of Labor

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

  • 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

Category: Generative AI
Category: DevOps
Category: Application Deployment
Category: Amazon Web Services
Category: Application Development
Category: Amazon Elastic Compute Cloud
Category: Version Control
Category: Data Ethics
Category: Artificial Intelligence
Category: Development Testing
Category: Unit Testing
Category: Natural Language Processing
Category: CI/CD

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: CI/CD
Category: AWS CloudFormation
Category: Application Deployment
Category: Amazon CloudWatch
Category: Infrastructure as Code (IaC)
Category: Generative AI
Category: DevOps
Category: Automation
Category: Continuous Integration
Category: Amazon Web Services
Category: Cloud Management
Category: Release Management
Category: System Monitoring
Category: Continuous Deployment
Category: Application Performance Management
Category: Cloud Applications

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: DevOps
Category: Anomaly Detection
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Code Review
Category: Amazon CloudWatch
Category: Secure Coding
Category: MLOps (Machine Learning Operations)
Category: CI/CD
Category: Application Performance Management
Category: System Monitoring
Category: Artificial Intelligence
Category: Information Technology Operations
Category: Vulnerability Scanning
Category: Amazon Web Services
Category: Continuous Integration

Instructors

Russell Sayers
Amazon Web Services
18 Courses110,413 learners

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