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Professional Training · Development & DevOps Track

DevOps Engineering on AWS

A three-day course on applying DevOps philosophies, practices and tooling on AWS. It covers continuous integration and continuous delivery, infrastructure as code, microservices, monitoring and logging, and the collaboration habits that make them work. Hands-on labs build AWS CloudFormation templates and delivery pipelines that deploy to Amazon EC2, serverless and container-based targets.

Authorised Instructors

  • Eric Tai

    Head, Technology

    • DevOps Engineer – Professional
    • Security – Specialty
    • Solutions Architect – Professional
    • CloudOps Engineer – Associate
    • +4 more
  • Gabriel Wong

    Technical Programme Manager

    • DevOps Engineer – Professional
    • Generative AI Developer – Professional
    • Developer – Associate
    • Solutions Architect – Associate
    • +2 more

Any of these AWS Authorised Instructors may deliver this class, depending on the scheduled run. Trainers confirmed on enrolment.

Who Should Attend

  • DevOps Engineers: Engineers building and running delivery pipelines.
  • DevOps Architects: Architects designing the delivery toolchain.
  • Operations Engineers: Staff responsible for production reliability.
  • Systems Administrators: Administrators automating infrastructure work.
  • Developers: Developers taking on delivery and operational responsibility.

Prerequisites

This is an intermediate course. To get the most from it, you should have:

  • Completion of Developing on AWS or Cloud Operations on AWS, or equivalent experience.

  • Working knowledge of at least one high-level programming language such as Python, Java or C#.

  • Intermediate command-line administration skills on Linux or Windows.

  • Working experience of both the AWS Management Console and the AWS CLI.

Learning Objectives

In this course, you will learn to:

  • Apply DevOps principles: Use the core concepts and practices behind the methodology.

  • Build supporting infrastructure: Design and implement AWS infrastructure for development projects.

  • Automate environments: Deploy development, test and production environments as code.

  • Set up continuous integration: Configure Git on AWS and establish CI environments.

  • Implement deployment patterns: Apply blue/green deployment, A/B testing and similar techniques.

  • Tune and monitor: Optimise application performance and watch environments for problems.

Certification

This course maps to the AWS Certified DevOps Engineer – Professional exam, the senior credential for automation and delivery on AWS. As an AWS Advanced Tier Authorised Training Partner, we pair pipeline labs with exam-focused review.

The examination evaluates your competency across these domains:

  • SDLC Automation: 22% of scored content.

  • Configuration Management and IaC: 17% of scored content.

  • Resilient Cloud Solutions: 15% of scored content.

  • Monitoring and Logging: 15% of scored content.

  • Incident and Event Response: 14% of scored content.

  • Security and Compliance: 17% of scored content.

Format
75 questions; multiple choice or multiple response
Type
Professional level certification
Delivery Method
Pearson VUE testing center or online proctored exam
Time Duration
180 minutes
Investment
300 USD
AWS Advanced Tier Authorised Training Partner

Pricing on Request

Duration
3 Days
Level
Intermediate
Certification
AWS Certified DevOps Engineer – Professional
Enquire

In-person in Kuala Lumpur or live virtual. Team & enterprise rates available.

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