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Courses

DevOps course

DevOps course

Certified DevOps Specialist

The DevOps course develops skills in DevOps practices, processes, metrics and models by offering a comprehensive overview of fundamental DevOps concepts, techniques and benefits. It covers the comparison of DevOps with traditional development approaches, as well as the practical application of DevOps practices and models.

Upon completing the course you will receive a digital certificate of completion, as well as a digital training badge from Acclaim/Credly. Upon getting certified you will also receive an official DevOps Specialist digital accreditation certificate and certification badge from Acclaim/Credly, along with an account that can be used to verify your certification status.

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Learning objectives

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The DevOps course is comprised of the following 3 course modules, each of which has an estimated completion time of 10 hours:

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Module 1: Fundamental DevOps

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Module 2: DevOps in Practice

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Module 3: DevOps Lab

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Educational approach

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30 hours of Workbook Lessons & Exercises

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Supporting Video Lessons

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Course Completion Certificates & Badges

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Certification Exam & Practice Questions

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Feature-Rich eLearning Platform

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Interactive Graded Exercises, Self-Test

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Printable PDFs

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Lifetime Access

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Mind Map Poster

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Symbol Legend Poster

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Lab Exercise Booklet (if applicable)

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Module 1: Fundamental DevOps

This course module provides a comprehensive overview of DevOps practices, models and techniques, along with coverage of DevOps benefits, challenges and business and technology drivers. Also explained is how DevOps compares to traditional solution development and release approaches and how the application of DevOps can be monitored and measured for concrete business value.

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Business Drivers of DevOps

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IT Roles in DevOps Projects

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Goals and Benefits of DevOps Adoption

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Interoperability and Transparent Collaboration

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Rapid Delivery, Responsive Scalability and Increased Reliability

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Impacts and Challenges of DevOps Adoption

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Automation, Measurement and Unified Metrics

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DevOps Platform and Toolchain

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The 20 Common DevOps Tools, Repositories and Systems

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DevOps Lifecycle and Stages

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Delivery Pipeline, Feedback Loop and Dark Launching

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Continuous Integration (CI) and Continuous Delivery (CD)

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Automated Builds and Automated Testing

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Continuous Deployment and Automated Release Management

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Dependency Management, Infrastructure Resource Staging and Compliance Verification

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Introduction to IaC, PaC and CaC

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Module 2: DevOps In Practice

This course module delves into the application of DevOps practices and models by exploring how the DevOps lifecycle and its associated stages can be carried out and further identifying related challenges and considerations. In-depth coverage is provided for the application of Continuous Integration (CI) and Continuous Delivery (CD) approaches, along with an exploration of creating deployment pipelines and managing data flow, solution versions and tracking solution dependencies.

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Understanding Codified Definitions

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Infrastructure-as-Code (IaC) and Configuration Modules

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Continuous Testing and Collaborative Version Control

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Configuration-as-Code (CaC) and Continuous Software Releases

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Traceable Configuration Changes and Configuration Status Awareness

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Programmatic Versioning and Automated Configuration Testing

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Policy-as-Code (PaC) and Policy Systems

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Automated Policy Application and Enforcement Testing

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The 17 Common DevOps Metrics

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Continuous Monitoring

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The 8 Common DevOps Monitors

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Measuring DevOps, Mapping Metrics to Monitors

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Mapping Metrics and Monitors to Pipeline Stages

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DevOps with Microservices and Containers

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DevOps with Cloud Computing and Pay-Per-Use Monitoring

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CI, CD, Continuous Deployment with Microservices and Cloud Computing

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IaC, CaC, PaC with Microservices and Cloud Computing

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Module 3: DevOps Lab

This course module presents participants with a series of exercises and problems that are designed to test their ability to apply their knowledge of topics covered in previous modules. Completing this lab will help highlight areas that require further attention and will further prove hands-on proficiency in DevOps models, practices and strategies, as they are combined and applied to solve real-world problems.

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Reading Exercise 3.1: CSD Mini Case Study Background

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Lab Exercise 3.2: Project Timeline Optimization

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Lab Exercise 3.3: Post-Deployment Challenges

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Lab Exercise 3.4: Responsiveness to Feedback

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Lab Exercise 3.5: Disparate Testing Tools and Practices

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Reading Exercise 3.6: AIC Mini Case Study Background

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Lab Exercise 3.7: Continuous Releases and Lead Time

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Lab Exercise 3.8: DevOps Practices and Automation

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Lab Exercise 3.9: Tools, Repositories and Systems

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Lab Exercise 3.10: Rapid Deployment and Codified Definitions

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