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Amazon Web Services
DevOps and AI on AWS Specialization

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Amazon Web Services

DevOps and AI on AWS Specialization

Amplify your Dev Team with DevOps and AI on AWS. In this program, you鈥檒l walk through each step of the DevOps flywheel to create a CICD pipeline.

Russell Sayers
Morgan Willis
Rafael Lopes

Instructors: Russell Sayers

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Get in-depth knowledge of a subject
4.7

(11 reviews)

Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.7

(11 reviews)

Beginner level

Recommended experience

4 weeks to complete
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

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Taught in English
Recently updated!

March 2025

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  • 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

Category: Generative AI
Category: Amazon Web Services
Category: DevOps
Category: Application Deployment
Category: Git (Version Control System)
Category: Large Language Modeling
Category: Prompt Engineering
Category: Artificial Intelligence
Category: Amazon Elastic Compute Cloud
Category: Application Development
Category: Unit Testing
Category: Data Ethics
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: DevOps
Category: AWS CloudFormation
Category: Application Deployment
Category: Amazon Web Services
Category: Infrastructure as Code (IaC)
Category: Generative AI
Category: Amazon CloudWatch
Category: Continuous Deployment
Category: Automation
Category: Continuous Integration
Category: CI/CD
Category: System Monitoring
Category: Continuous Monitoring
Category: Cloud Applications
Category: Release Management
DevOps and AI on AWS: AIOps

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: Anomaly Detection
Category: DevOps
Category: Amazon Web Services
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Code Review
Category: Application Performance Management
Category: Automation
Category: Amazon CloudWatch
Category: CI/CD
Category: DevSecOps
Category: Continuous Monitoring

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Instructors

Russell Sayers
Amazon Web Services
18 Courses113,277 learners

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