John SavillFree Video

DevOps Master Class: Free Course

Connect source control, delivery automation and cloud operations in one practical learning path. This free John Savill DevOps Master Class includes all eight numbered parts, the introduction and the additional videos present in the teaching playlist.

The complete published source lesson sequence is retained, including its introductions, examples, exercises, reviews and compilations where present.

Video 1 of 11 2:37

DevOps Master Class - Introduction

Before you start

Programming, Git and basic cloud knowledge are helpful. Practice may require accounts, software or paid cloud resources, which are separate from free viewing. Use an isolated lab and avoid applying demonstrations directly to a production system.

About this course

Connect source control, delivery automation and cloud operations in one practical learning path. This free John Savill DevOps Master Class includes all eight numbered parts, the introduction and the additional videos present in the teaching playlist. The focus is on how an engineering workflow fits together.

Course at a glance

Provider / Teaching team John Savill
Platform YouTube · John Savill's Technical Training
Access Free Video
Level Intermediate
Language English
Videos 11
Video duration 12h 39m · allow extra time for practice
Format Self-paced recorded training
Certificate Not included with video viewing

What you’ll learn

  • Describe how Git and a shared development workflow support traceable changes and collaboration.
  • Connect continuous integration and delivery with checks, repeatable builds and deployment decisions.
  • Recognise the roles of secrets handling, identity integration and infrastructure as code in the course workflow.
  • Relate containers, monitoring and feedback to the operation and improvement of a delivered application.

Skills you’ll gain

  • DevOps foundations
  • Git workflows
  • CI/CD
  • Secrets handling
  • Infrastructure as code
  • Operational feedback

Course Overview

The main sequence covers DevOps foundations, Git, Azure DevOps and GitHub, CI/CD, secrets, infrastructure as code, containers, and monitoring and feedback. The playlist also includes focused material on GitHub–Azure identity integration and a profile-page example. These additional lessons remain available alongside the numbered curriculum. The recordings teach the relationship between an organised repository, a repeatable delivery process and the systems needed to operate a service. Follow the source’s recommended order. Modern interfaces may differ from the recorded demonstrations, but the questions about traceability, testing, secrets and feedback remain useful.

How to study the course

  • Complete the foundation and Git sections before building a delivery workflow. Keep changes small enough that you can identify their purpose and review their effect.
  • Use the pipeline, secrets and infrastructure sections to distinguish source code from the configuration needed to run it. Practise in an isolated repository.
  • Finish with containers and operational feedback. A successful deployment is only one stage; observable behaviour helps you decide what to improve next.

Use the searchable classroom lesson list to revisit a specific explanation. Pause after a useful demonstration, reproduce a small example and explain the result in your own words. Keep a short note of what worked, what changed and what you still need to understand before moving on.

Who is this for?

This course suits developers, system administrators and cloud professionals looking for a connected introduction to DevOps practice. It is especially useful for learners who have used individual tools but have not assembled a complete workflow.

Before you start

Programming, Git and basic cloud knowledge are helpful. Practice may require accounts, software or paid cloud resources, which are separate from free viewing. Use an isolated lab and avoid applying demonstrations directly to a production system.

Put the lessons into practice

Put a small application in a practice repository and define one automated check. Write down the steps needed to build and run it, then identify which steps could form a delivery pipeline. Keep sensitive configuration outside ordinary source files and record how a suitable lab would supply it. Add one observable sign of application health, such as a simple log or check. Make a small change and explain how the workflow would detect failure, deliver success and provide feedback after release.

This optional activity is provided by WikiFree for independent practice. It is not a graded assignment from the instructor. Keep your working notes, check the result against the task you defined and return to the relevant lesson when an assumption or technique is unclear.

Certificate / Assessment

Watching the public videos and using WikiFree progress tracking does not award a certificate, exam voucher, academic credit or instructor assessment. The training is by John Savill; it is not a Microsoft certification exam or a guarantee of passing one.

Use your practice output to review what you can now explain and repeat independently. Completion tracking records your study progress; it does not replace an assessed qualification or professional experience.

Related courses for your next step

Compare course focus, level and study time
Compare the published course outlines. A lower level is a preparation option, not a required prerequisite.
CourseLevelFocusStudy time
This course — DevOps Master Class: Free CourseIntermediateDevOps foundations · Git workflows · CI/CD12h 39m of video; practice time is additional
Free Simplilearn Course: DevOps Fundamentals and Delivery WorkflowsBeginnerDevOps Culture · Delivery Workflow · Cloud Concepts37h 56m of video; practice time is additional
Microsoft Azure Master Class: Free CourseIntermediateAzure architecture · Identity and governance · Cloud networking23h 47m of video; practice time is additional
PowerShell Master Class: Free CourseIntermediatePowerShell pipelines · Script development · Error handling9h 36m of video; practice time is additional

Frequently asked questions

Is this course free to watch?

Yes. The public video lessons can be viewed in the WikiFree classroom. Free viewing does not include paid software, service subscriptions, provider membership benefits or a credential.

How long does the course take?

The 11 source videos total approximately 12h 39m. Allow additional time for pausing, practice, reviewing an example and checking your own result.

What background do I need?

Programming, Git and basic cloud knowledge are helpful. Practice may require accounts, software or paid cloud resources, which are separate from free viewing. Use an isolated lab and avoid applying demonstrations directly to a production system.

Does watching the course award a certificate?

No. Video viewing and WikiFree progress tracking do not award a certificate, credit or an exam voucher.

Can I study on a phone?

Yes. The classroom has a responsive player and searchable lesson list. A larger screen and suitable practice environment are helpful for following software demonstrations or technical examples.

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Provider: John Savill. Videos play from the John Savill's Technical Training channel on YouTube.

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