Cloud Computing Training

DIXONTECH delivers a comprehensive Cloud Computing Training course designed to provide participants with the knowledge and skills to understand, deploy, and manage cloud-based environments. The program covers fundamental cloud concepts, architecture, service models, and best practices for implementing cloud solutions across business and technical contexts. Delegates gain the ability to design scalable, secure, and cost-effective cloud infrastructures.

TRAINING TOPICS

• CLOUD COMPUTING FUNDAMENTALS & ARCHITECTURE
• CLOUD SERVICE MODELS (IaaS, PaaS, SaaS)
• CLOUD SECURITY & GOVERNANCE
• MIGRATION, AUTOMATION & COST OPTIMIZATION
• CLOUD MONITORING, MANAGEMENT & BEST PRACTICES

BY THE END OF THIS TRAINING COURSE, DELEGATES WILL BE ABLE TO:

• Deploy and manage scalable, secure cloud solutions aligned with business objectives.
• Understand core cloud computing models and principles.
• Design and manage cloud architectures effectively.
• Implement robust security and compliance measures.
• Optimize performance and operational costs.
• Automate workflows using cloud-native tools.
• Support hybrid and multi-cloud environments.

TRAINING IS TAILORED TO

• Professionals and organizations adopting or managing cloud technologies.
• Cloud Architects and Engineers.
• IT Managers and System Administrators.
• Network and Infrastructure Specialists.
• Software Developers and DevOps Engineers.
• Cybersecurity and Compliance Officers.
• Business Leaders transitioning to cloud solutions.

TRAINING METHODOLOGY

The program integrates conceptual learning, guided demonstrations, and real-world labs. Participants use cloud platforms such as AWS, Azure, and Google Cloud to design and manage solutions, ensuring hands-on understanding of deployment, security, and automation.

DAY 1:

CLOUD COMPUTING FUNDAMENTALS & ARCHITECTURE

• Cloud computing principles and evolution overview.
• Understanding virtualization and resource pooling.
• Public, private, hybrid, and multi-cloud models.
• Core components of cloud architecture.
• Cloud deployment patterns and scalability concepts.
• Identifying business drivers for cloud adoption.

DAY 2:

CLOUD SERVICE MODELS (IaaS, PaaS, SaaS)

• Differences and use cases of service models.
• Building virtual machines and managed services.
• Deploying cloud applications with PaaS environments.
• SaaS applications for enterprise productivity.
• Comparison of AWS, Azure, and Google services.
• Designing hybrid service architectures.

DAY 3:

CLOUD SECURITY & GOVERNANCE

• Core principles of cloud security and compliance.
• Identity and access management (IAM) configuration.
• Data encryption and secure storage solutions.
• Governance frameworks and ISO cloud standards.
• Managing privacy, GDPR, and shared responsibility.
• Security monitoring and incident response.

DAY 4:

MIGRATION, AUTOMATION & COST OPTIMIZATION

• Cloud migration planning and methodologies.
• Tools for workload migration and automation.
• Containerization and orchestration with Kubernetes.
• Cost optimization and cloud resource management.
• Automating deployments with IaC (Terraform, CloudFormation).
• Building resilient and elastic infrastructures.

DAY 5:

CLOUD MONITORING, MANAGEMENT & BEST PRACTICES

• Monitoring tools and performance optimization.
• Logging, auditing, and SLA management.
• Backup, disaster recovery, and business continuity.
• Multi-cloud management platforms and APIs.
• Cloud cost reporting and forecasting models.
• Capstone project: build and present a cloud solution.

FORMATTING NOTES:

• Font: Poppins

• Size: 12

• Headings: Uppercase + Bold

• DAY titles: Bold + separate line

• Main titles: Bold + separate line

• Bullets: Standard, one line each (5–10 words)

• Spacing and alignment: Clean professional layout.