DevOps Engineering Course

Begins by grounding participants in how DevOps looks in practice. Explores how modern teams build with user-centred design in mind and starts to apply learning through hands-on workshops and exercises.

Builds essential skills in programming and collaboration. This unit introduces core programming principles and effective version control to support seamless teamwork, reinforced by a practical workshop and exercise.

Now focus on automation and system integration. Explores how tools connect and automate tasks in a DevOps environment, then consolidates knowledge through a practical workshop and exercise.

Explores the principles and workflows of automated testing to ensure work is robust and reliable, then checks understanding through interactive sessions and exercises.

Takes delivery skills further. Examines why frequent deployment is central to DevOps and how to do it effectively. Practices deploying changes in the workshop and exercise.

Shifts focus to the infrastructure behind delivery. Explores how to manage virtual machines and work with immutable infrastructure, reinforced through a workshop and exercise.

Continues the building of a deployment toolkit. Explores how to work with containers and optimise container use to reduce friction in workflows. The workshop and exercise then puts this into practice.

Expanding into the cloud, this unit surveys different cloud platforms and explores how to architect applications in the cloud. Learning is applied via a workshop and technical exercise.

Progresses to infrastructure planning. Looks at cloud deployments and architecting for the cloud, alongside using infrastructure as code, reinforced by practical sessions.

With systems running live, examines how to monitor and understand performance. Explores how to set up observability tools and leverage insights to optimise outcomes via the workshop and exercise.

Focuses on data handling. Explores different persistence options and ethical practices in data management, and applies learning through hands-on exercises.

Surveys security needs and explores how to build defences into workflows. Tests and applies skills through the workshop and exercise.

Takes DevOps skills into AI. Introduces participants to ML Ops and building a basic neural network, putting theory into practice in the accompanying workshop and exercise.

The course culminates with an exploration into the future, including how to stay ahead in a DevOps career and continue developing with tools for continuous learning, supported by a final workshop and exercise.