Live Online Applied Cloud, DevOps, FinOps & Platform Engineering Training Course
Live online, instructor-led · next cohort Nov 9, 2026 · from USD 1,700
Cloud promised speed, yet many teams now face sprawling accounts, slow releases, brittle pipelines and monthly bills nobody can explain. The answer is a disciplined engineering approach: automated delivery, reusable infrastructure, a clear platform for developers and cost visibility built in from the start.
This ten-day programme works through the stack in layers. Early days cover cloud architecture on AWS, Azure or Google Cloud, networking, identity, Linux and Git workflows, then containers with Docker and orchestration with Kubernetes and Helm. You build CI/CD pipelines with GitHub Actions or GitLab CI, provision environments with Terraform, manage secrets and policy, and apply DevSecOps scanning. Later days go deeper into GitOps with Argo CD, observability with Prometheus and Grafana, site reliability practices such as SLOs and incident response, internal developer platforms, and FinOps methods for tagging, allocation, rightsizing, commitments and unit cost reporting. A capstone project integrates the lot. It suits DevOps and cloud engineers, system administrators, software developers, solutions architects, SRE and IT managers in banks, telecoms, government and technology firms. Delivery is classroom, online or in-house, with a CPD-accredited certificate. Afterwards you can deploy a secure, monitored, cost-aware platform from code.
At a Glance
How Live Online Training Works
Live online training, led by a trainer in real time, for participants anywhere.
More about live online training →- Format
- Live online, instructor-led
- Duration
- Mon - Fri (10 Days)
- Fee
- USD 1,700 (KES 160,000)
- Next start dates
- Nov 9, 2026, Dec 7, 2026, Jan 4, 2027
- Certificate
- Certificate of Completion
- What you need
- A computer with a reliable internet connection, a webcam and a headset
About this course
Organisations in every sector are moving workloads to the cloud, but moving is not the same as benefiting. Teams that provision by hand, release rarely and ignore spend patterns discover that cloud brings new forms of risk: configuration drift, security gaps, outages during deployments and costs that grow faster than value. Platform engineering and FinOps have emerged as disciplines that bring order to this complexity.
The Applied Cloud, DevOps, FinOps & Platform Engineering Training Course is a ten-day, lab-intensive programme that takes participants from cloud fundamentals to running a production-style platform. The first week builds the engineering base: infrastructure, containers, pipelines, code-based provisioning and secure delivery. The second week applies it at scale, with orchestration, GitOps, reliability engineering, observability, self-service platforms for developers and the financial management of cloud usage.
Every topic is introduced briefly and then practised in a live cloud sandbox. Participants commit code, trigger pipelines, break and repair clusters, and read cost reports. The course ends with an integrated project that is reviewed against a quality and cost checklist, leaving participants with a reference architecture and repositories to reuse.
Training Objectives
By the end of the course, participants will be able to:
- Design secure, resilient cloud architectures using core compute, network, storage and identity services.
- Package applications in containers and deploy them to Kubernetes clusters.
- Build automated CI/CD pipelines with testing, scanning and approval gates.
- Provision and manage environments with Terraform and version-controlled infrastructure as code.
- Implement GitOps workflows and manage configuration, secrets and policy as code.
- Instrument systems with metrics, logs and traces and define service level objectives.
- Apply FinOps practices to allocate, forecast and reduce cloud spend.
- Design an internal developer platform that offers self-service paths to production.
What you'll learn
Key Takeaways
Participants leave the programme with:
- A working repository of Terraform modules for a standard cloud landing zone.
- A reusable CI/CD pipeline template with security scanning.
- A Kubernetes deployment set with Helm charts and GitOps configuration.
- A monitoring dashboard and alert rules tied to service level objectives.
- A FinOps tagging scheme, budget alerts and a cost review routine.
- A reference design for an internal developer platform at their organisation.
Training Methodology
The programme is built almost entirely around labs:
- Short concept briefings followed by guided sandbox exercises
- Individual cloud accounts for every participant, with no shared environments
- Intentional failure scenarios to practise troubleshooting and recovery
- Pair reviews of pipeline, Terraform and Helm code
- A team capstone assessed against a published checklist
Day 1: Cloud Foundations and Architecture
- Cloud service models and shared responsibility
- Regions, availability zones and resilient design
- Virtual networks, subnets, gateways and security groups
- Identity and access management principles
- Compute, storage and managed database options
- Lab: building a secure network and first virtual machines
Day 2: Linux, Git and Automation Basics
- Linux command line, services and permissions
- Shell scripting for operations tasks
- Git branching, pull requests and trunk-based development
- Configuration management concepts
- DevOps culture, flow and the DORA metrics
- Lab: scripting a repeatable server setup
Day 3: Containers with Docker
- Container images, layers and registries
- Writing efficient and secure Dockerfiles
- Networking and volumes with Docker Compose
- Image scanning and software supply chain basics
- Running containers on managed services
- Lab: containerising a multi-tier application
Day 4: Continuous Integration and Delivery
- Pipeline stages: build, test, package and release
- GitHub Actions or GitLab CI workflows and runners
- Automated testing, quality gates and artefact management
- Deployment strategies: rolling, blue-green and canary
- Pipeline secrets and approvals
- Lab: a full pipeline from commit to deployed container
Day 5: Infrastructure as Code with Terraform
- Terraform providers, resources, variables and outputs
- State management, remote backends and locking
- Modules and environment promotion
- Testing and reviewing infrastructure changes
- Drift detection and safe destruction
- Lab: provisioning a landing zone from code
Day 6: Kubernetes Operations
- Cluster architecture, pods, deployments and services
- Ingress, configuration maps and secrets
- Scaling, health probes and resource limits
- Helm packaging and chart management
- Persistent storage and stateful workloads
- Lab: deploying and scaling an application on a managed cluster
Day 7: GitOps, DevSecOps and Policy
- GitOps principles and Argo CD or Flux workflows
- Static analysis, dependency and container scanning
- Secrets management with vaults and sealed secrets
- Policy as code and admission controls
- Compliance evidence from pipelines
- Lab: a GitOps release with automated policy checks
Day 8: Observability and Reliability Engineering
- Metrics, logs and traces with Prometheus, Grafana and OpenTelemetry
- Service level indicators, objectives and error budgets
- Alert design and on-call practices
- Incident response and blameless post-incident reviews
- Chaos experiments and capacity planning
- Lab: building dashboards and alerts for a failing service
Day 9: FinOps and Platform Engineering
- The FinOps lifecycle: inform, optimise, operate
- Tagging, cost allocation and showback or chargeback
- Rightsizing, autoscaling, savings plans and spot capacity
- Unit economics and cost per transaction
- Internal developer platforms, golden paths and service catalogues
- Lab: cost analysis and a self-service environment template
Day 10: Capstone Project and Operating Model
- Integrated build: code, pipeline, infrastructure, cluster and monitoring
- Review against security, reliability and cost criteria
- Team topologies and platform team operating models
- Measuring platform success and developer experience
- Adoption roadmap for the participant's organisation
- Project demonstrations and course review
The course is intended for technical professionals who build, run or govern cloud-based systems, including:
- DevOps, cloud and platform engineers
- Systems and network administrators moving to cloud
- Software developers responsible for deployment
- Solutions and enterprise architects
- Site reliability and operations engineers
- IT managers and heads of infrastructure
- Cloud cost, finance and procurement analysts working with IT
- Security engineers supporting delivery pipelines
Participants who attend the ten days and complete the labs and capstone project are awarded a CPD-accredited Certificate of Completion by Vision Reach Global Consultancy. It records the training undertaken and is separate from any vendor certification exam.
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Frequently Asked Questions About Live Online Applied Cloud, DevOps, FinOps & Platform Engineering Training Course
Everything you need to know about this course before you register.
By the end of the Applied Cloud, DevOps, FinOps & Platform Engineering programme, you'll be able to design secure, resilient cloud architectures using core compute, network, storage and identity services, package applications in containers and deploy them to kubernetes clusters, build automated ci/cd pipelines with testing, scanning and approval gates, and provision and manage environments with terraform and version-controlled infrastructure as code. The full breakdown of topics is covered session by session in the Course Outline tab above.
The course is intended for technical professionals who build, run or govern cloud-based systems, including: DevOps, cloud and platform engineers, Systems and network administrators moving to cloud, Software developers responsible for deployment, Solutions and enterprise architects, Site reliability and operations engineers, IT managers and heads of infrastructure, Cloud cost, finance and procurement analysts working with IT, and Security engineers supporting delivery pipelines.
Applied Cloud, DevOps, FinOps & Platform Engineering Training Course typically runs as 10 Days. It's available as in-person classroom, live virtual, and in-house corporate training — every course can also be delivered on-site for your team on dates that suit you.
Applied Cloud, DevOps, FinOps & Platform Engineering Training Course is scheduled in-classroom in Nairobi, Kenya, Mombasa, Kenya, Naivasha, Kenya, and Kisumu, Kenya, and 14 other locations, plus a live interactive virtual classroom you can join from anywhere. Check the schedule panel above for exact upcoming dates and fees in each location.
The next live virtual cohort of Applied Cloud, DevOps, FinOps & Platform Engineering starts November 9, 2026, with new classroom cohorts also running on a rolling basis. Pick a date and location in the schedule panel above, then click "Register for the Course" — it takes a few minutes and your seat is confirmed once payment or a signed purchase order is received.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for Applied Cloud, DevOps, FinOps & Platform Engineering Training Course from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Applied Cloud, DevOps, FinOps & Platform Engineering Training Course is pitched at advanced professionals. If you're unsure whether it's the right fit for your current role or background, message our training advisors before you register and they'll help you confirm.
Fees for Applied Cloud, DevOps, FinOps & Platform Engineering Training Course vary by delivery location and format and are shown in real time in the schedule panel above once you pick a date. Register 3 or more delegates on the same course together and a 5% team discount is applied automatically — larger cohorts can request a custom corporate quote.
Yes — Applied Cloud, DevOps, FinOps & Platform Engineering Training Course can be delivered on-site at your offices (or virtually for distributed teams), with case studies and examples tailored to your industry and the specific challenges your team is working through. Switch to the "In-House" tab in the schedule panel above to request a proposal.
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