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.
Optional preparation: Free Simplilearn Course: DevOps Fundamentals and Delivery Workflows.
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
- Review a lower-level optionFree Simplilearn Course: DevOps Fundamentals and Delivery Workflows
Focus: DevOps Culture · Delivery Workflow
Beginner - Add a related skillMicrosoft Azure Master Class: Free Course
Focus: Azure architecture · Identity and governance
Intermediate - Add a related skillPowerShell Master Class: Free Course
Focus: PowerShell pipelines · Script development
Intermediate
Compare course focus, level and study time
| Course | Level | Focus | Study time |
|---|---|---|---|
| This course — DevOps Master Class: Free Course | Intermediate | DevOps foundations · Git workflows · CI/CD | 12h 39m of video; practice time is additional |
| Free Simplilearn Course: DevOps Fundamentals and Delivery Workflows | Beginner | DevOps Culture · Delivery Workflow · Cloud Concepts | 37h 56m of video; practice time is additional |
| Microsoft Azure Master Class: Free Course | Intermediate | Azure architecture · Identity and governance · Cloud networking | 23h 47m of video; practice time is additional |
| PowerShell Master Class: Free Course | Intermediate | PowerShell pipelines · Script development · Error handling | 9h 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.
Provider: John Savill. Videos play from the John Savill's Technical Training channel on YouTube.
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