Cloud Engineering equips IT professionals with the knowledge and practical skills to design, deploy, automate, secure, and manage scalable cloud infrastructure and cloud-native applications.
Duration 5 Days – 35 hrs.
Overview
Cloud computing has become the foundation of modern IT infrastructure, enabling organizations to build scalable, secure, resilient, and cost-effective solutions. Cloud Engineers play a critical role in designing, deploying, automating, securing, and managing cloud environments that support digital transformation and business innovation.
This Cloud Engineering Training Course provides participants with a comprehensive understanding of cloud computing concepts, cloud architecture, networking, virtualization, storage, compute services, identity and access management, security, automation, monitoring, and cloud operations.
The course introduces cloud engineering best practices that are applicable across major cloud platforms such as Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP). Participants will gain practical knowledge of cloud infrastructure design, deployment strategies, Infrastructure as Code (IaC), containers, DevOps integration, and cloud governance.
Through instructor-led discussions, demonstrations, hands-on laboratories, and real-world case studies, participants will build the foundational skills required to support, deploy, and manage enterprise cloud environments.
Objectives
- Understand core cloud computing concepts, deployment models, and service models.
- Explain cloud architecture principles and design considerations.
- Deploy and manage cloud resources using industry best practices.
- Configure networking, storage, compute, and identity services in cloud environments.
- Implement cloud security controls and governance practices.
- Understand virtualization, containers, and orchestration technologies.
- Apply Infrastructure as Code (IaC) concepts to automate cloud deployments.
- Monitor cloud environments for availability, performance, and cost optimization.
- Integrate cloud engineering practices with DevOps methodologies.
- Apply cloud engineering best practices to support scalable, secure, and resilient enterprise solutions.
Target Audience
- Cloud Engineers
- Systems Administrators
- Network Engineers
- Infrastructure Engineers
- DevOps Engineers
- Site Reliability Engineers (SRE)
- Systems Engineers
- IT Operations Professionals
- Software Developers
- Cloud Support Engineers
- Application Support Engineers
- Technical Consultants
- IT Project Team Members
- Fresh Graduates entering Cloud or Infrastructure roles
Prerequisites
- Basic understanding of computer networking.
- Basic knowledge of operating systems (Windows or Linux).
- Familiarity with IT infrastructure concepts.
- Basic command-line experience is recommended.
- Prior cloud experience is beneficial but not required.
Course Outline
Day 1 – Cloud Computing Foundations
Module 1 – Introduction to Cloud Computing
- Evolution of Cloud Computing
- Cloud Computing Concepts
- Benefits and Business Value
- Cloud Characteristics
- Shared Responsibility Model
Module 2 – Cloud Service Models
- Infrastructure as a Service (IaaS)
- Platform as a Service (PaaS)
- Software as a Service (SaaS)
- Function as a Service (FaaS)
- Serverless Computing Concepts
Module 3 – Cloud Deployment Models
- Public Cloud
- Private Cloud
- Hybrid Cloud
- Multi-Cloud
- Community Cloud
Module 4 – Cloud Architecture Fundamentals
- Regions and Availability Zones
- High Availability
- Fault Tolerance
- Scalability
- Elasticity
- Disaster Recovery Concepts
Workshop: Design a basic cloud architecture for a business application, selecting appropriate deployment and service models.
Day 2 – Cloud Infrastructure and Networking
Module 5 – Compute Services
- Virtual Machines
- Virtual Networks
- Auto Scaling Concepts
- Load Balancing
- Compute Optimization
Module 6 – Cloud Storage
- Object Storage
- Block Storage
- File Storage
- Backup and Recovery
- Data Lifecycle Management
Module 7 – Cloud Networking
- Virtual Private Cloud (VPC/VNet)
- Subnets
- Routing
- DNS Services
- VPN Connectivity
- Firewalls
- Security Groups
- Network Access Control
Module 8 – Identity and Access Management (IAM)
- Authentication
- Authorization
- Role-Based Access Control (RBAC)
- Multi-Factor Authentication (MFA)
- Least Privilege Principle
- Identity Federation
Workshop: Configure a secure cloud network architecture with identity and access controls.
Day 3 – Cloud Security, Monitoring, and Governance
Module 9 – Cloud Security Fundamentals
- Cloud Security Principles
- Data Protection
- Encryption at Rest and in Transit
- Key Management
- Secrets Management
- Security Monitoring
Module 10 – Governance and Compliance
- Cloud Governance
- Resource Management
- Tagging Strategies
- Cost Management
- Compliance Frameworks
- Cloud Policies
Module 11 – Monitoring and Logging
- Performance Monitoring
- Log Management
- Alerts and Notifications
- Health Monitoring
- Resource Optimization
- Incident Response
Module 12 – Backup and Disaster Recovery
- Backup Strategies
- Replication
- Business Continuity
- Recovery Objectives (RPO/RTO)
- Disaster Recovery Planning
Workshop: Develop a cloud monitoring, governance, and disaster recovery plan for a production environment.
Day 4 – Automation, Containers, and DevOps
Module 13 – Infrastructure as Code (IaC)
- Infrastructure Automation Concepts
- Declarative vs Imperative Approaches
- Infrastructure Templates
- Version Control Integration
- Configuration Management
Module 14 – Containers
- Container Fundamentals
- Docker Concepts
- Container Images
- Registries
- Container Security
- Container Networking
Module 15 – Container Orchestration
- Kubernetes Fundamentals
- Pods
- Services
- Deployments
- Scaling
- High Availability
Module 16 – DevOps Integration
- Continuous Integration (CI)
- Continuous Delivery (CD)
- CI/CD Pipelines
- DevSecOps Concepts
- Automation Best Practices
Workshop: Design an automated cloud deployment workflow using Infrastructure as Code and CI/CD concepts.
Day 5 – Cloud Operations and Enterprise Best Practices
Module 17 – Cloud Operations
- Provisioning Resources
- Capacity Planning
- Performance Optimization
- Operational Excellence
- Service Reliability
Module 18 – Cloud Cost Optimization
- Cost Monitoring
- Resource Right-Sizing
- Reserved Capacity
- Auto Scaling Strategies
- Budget Management
Module 19 – Enterprise Cloud Architecture
- Well-Architected Framework Principles
- Multi-Tier Applications
- High Availability Design
- Resilient Architectures
- Migration Strategies
Module 20 – Emerging Trends in Cloud Engineering
- Artificial Intelligence for Cloud Operations (AIOps)
- Edge Computing
- Hybrid Cloud Operations
- Cloud-Native Applications
- Microservices Architecture
- Platform Engineering
- FinOps Fundamentals
- Sustainable Cloud Computing
Capstone Workshop
Participants will work in teams to design and present a secure, scalable, and highly available cloud solution for a business application, including:
- Cloud Architecture Design
- Service Model Selection
- Network Topology
- Compute and Storage Design
- Identity and Access Management
- Security Controls
- Monitoring and Logging Strategy
- Backup and Disaster Recovery Plan
- Infrastructure Automation Approach
- Cost Optimization Recommendations
