Cloud Computing Training
1. Cloud Strategy & Advisory: Enabling Business Transformation through the Cloud
Overview:
This course empowers business and IT leaders with the knowledge and tools to define,
evaluate, and execute a robust cloud strategy aligned with business goals. It demystifies
cloud models, migration strategies, governance, and financial planning to ensure successful
digital transformation journeys.
Ideal For: CIOs, CTOs, IT Managers, Enterprise Architects, Project Managers, Business Analysts, Cloud
Champions, and Transformation Officers.
Outcomes:
• Understand the fundamentals of cloud computing (IaaS, PaaS, SaaS,
Public/Private/Hybrid/Multicloud)
• Develop a tailored cloud adoption and modernization strategy
• Evaluate different cloud providers and choose the right fit (AWS, Azure, GCP, etc.)
• Build a business case for cloud adoption including TCO & ROI
• Learn risk management, compliance, and cloud governance models
• Establish cloud operating models and cloud Center of Excellence (CCoE)
• Understand FinOps: optimizing cloud spend and financial visibility
Duration: 2 – 4 Days (customisable per leadership, technical or hybrid teams)
2. Cloud Architecture & Design: Building Secure, Scalable & Resilient Cloud Solutions
Overview:
This course provides in-depth knowledge and practical skills to design modern, secure, and
scalable cloud architectures. Participants will explore reference architectures, design
patterns, security principles, and infrastructure-as-code techniques aligned with AWS, Azure,
and GCP standards.
Ideal For: Cloud Architects, Solutions Architects, Infrastructure Engineers, DevOps Engineers, Systems
Designers, Senior Developers, and Technical Leads.
Outcomes:
• Master the principles of cloud-native architecture and 12-factor design
• Learn to design scalable, high-availability, fault-tolerant cloud solutions
• Explore multi-cloud and hybrid-cloud design strategies
• Integrate security, identity, and compliance into architecture decisions
• Design for disaster recovery, backup, and business continuity
• Implement Infrastructure-as-Code (IaC) using tools like Terraform or AWS CDK
• Understand containerization (Docker), Kubernetes architecture, and serverless frameworks
Duration: 3 – 5 Days (customisable for technical vs. leadership teams)
3. Cloud Managed Services: Operational Excellence in the Cloud
Overview:
This course equips IT professionals and service teams with the skills needed to operate,
manage, and optimize cloud environments at scale. Participants will learn how to deliver
proactive support, monitoring, automation, and compliance through managed service
models across AWS, Azure, and GCP.
Ideal For: Cloud Operations Teams, IT Managers, System Administrators, DevOps Engineers, SREs, and
Managed Service Providers (MSPs).
Outcomes:
• Understand the core components of Cloud Managed Services (CMS)
• Set up cloud operations centers using best-in-class monitoring tools (e.g., Datadog, Azure
Monitor, AWS CloudWatch)
• Implement backup, disaster recovery, and patch management strategies
• Ensure SLA compliance, service availability, and security posture maintenance
• Master incident response, alerting, and runbook execution
• Manage identity, access, and permissions across multi-tenant environments
• Learn how to reduce operational costs while increasing uptime
Duration: 3 – 5 Days (customisable for technical or non-technical teams)
4. DevOps & Automated Services: Building Continuous, Scalable Delivery Pipelines
Overview:
This course is designed to equip your technical teams with the knowledge and hands-on
expertise to implement DevOps culture, tools, and automation frameworks that accelerate
software delivery, improve system reliability, and foster cross-functional collaboration.
Ideal For: DevOps Engineers, Cloud Engineers, Software Developers, QA/Testers, Automation
Engineers, IT Managers, and Technical Project Leads.
Outcomes:
• Understand the DevOps lifecycle and principles of CI/CD (Continuous Integration &
Continuous Deployment)
• Automate infrastructure provisioning using Infrastructure as Code (IaC) tools like Terraform
and AWS CloudFormation
• Build and manage CI/CD pipelines using tools such as Jenkins, GitLab CI, Azure DevOps, or
GitHub Actions
• Implement monitoring, alerting, and logging strategies with tools like Prometheus, Grafana,
ELK Stack, and Datadog
• Automate containerization and orchestration with Docker and Kubernetes
• Apply security controls in DevOps pipelines (DevSecOps)
• Establish release management and rollback strategies
• Learn best practices in version control, branching models, and automated testing
frameworks
Duration: 4 – 6 Days (customizable based on skill levels)
