Organisations in banking, telecoms, government and technology are moving workloads to public cloud and asking engineering teams to ship more often with fewer incidents. Tools are plentiful, but results depend on how they are combined: pipelines that test and deploy automatically, infrastructure defined in code, platforms that remove repetitive work from developers, and financial discipline that links spending to value.

This ten-day programme is arranged as a build-up. Participants begin with solid cloud foundations covering compute, storage, networking, identity and the shared responsibility model. They then establish engineering practice: version control, branching, automated testing, container images, pipeline design and infrastructure as code with Terraform. By the middle of the programme they are deploying applications to Kubernetes and managing releases through GitOps.

The second half addresses operating at scale. Participants implement observability, define service level objectives and error budgets, add security scanning and secrets management, and apply FinOps methods to allocate, forecast and reduce cloud costs. They then learn platform engineering principles, including internal developer platforms, golden paths and developer experience metrics. A capstone project asks teams to design, deploy and present a complete platform with cost and reliability controls.

By the end of the programme, participants will be able to:

• Design secure, resilient cloud architectures using sound identity, network and storage patterns.
• Build CI/CD pipelines with automated testing, quality gates and controlled releases.
• Define and provision infrastructure with Terraform and manage state safely.
• Package applications in containers and run them on Kubernetes.
• Implement GitOps workflows for repeatable environment management.
• Instrument systems with metrics, logs and traces and set service level objectives.
• Embed security scanning, policy and secrets management into delivery pipelines.
• Apply FinOps practices for cost allocation, forecasting and optimisation.

The programme is designed for technical professionals and leaders responsible for delivering and running cloud services, including:

• DevOps and cloud engineers
• Site reliability engineers
• Cloud and solution architects
• Platform and infrastructure team leads
• Software development team leads
• IT operations and infrastructure managers
• Information security engineers working on cloud workloads
• FinOps analysts and IT finance partners
• CTOs and heads of engineering in banks, telecoms and government

Participants leave with:

• A working CI/CD pipeline and Terraform codebase built during the labs.
• A Kubernetes deployment managed through a GitOps repository.
• A service level objective and alerting set for a sample application.
• A cloud tagging, budgeting and showback model.
• A cost optimisation checklist with rightsizing and commitment guidance.
• A platform engineering blueprint with golden paths for their teams.

The programme is lab-heavy and project-based:

• Daily hands-on labs in a cloud sandbox provided for the sessions
• Live coding and demonstration by experienced practitioners
• Incident simulations to practise monitoring and response
• Cost review exercises using sample billing data
• A team capstone project reviewed against agreed criteria

Delegates who attend the full ten days and complete the labs and capstone project are issued a CPD-accredited Certificate of Completion by Vision Reach Global Consultancy.

The certificate is not a vendor credential from any cloud provider.