Cloud Computing Training Course, Uyo, Akwa Ibom State and Port Harcourt, Rivers State

Cloud Computing Training Course, Uyo, Akwa Ibom State and Port Harcourt, Rivers State.

CLOUD COMPUTING TRAINING AND CERTIFICATION COURSE:

COURSE OUTLINE

Module 1: Introduction to Cloud Computing

• Learning Outcomes:

  • Define cloud computing concepts (IaaS, PaaS, SaaS, deployment models)
  • Explain the benefits and drawbacks of cloud adoption (scalability, cost, security)
  • Identify major cloud service providers (AWS, Azure, GCP)

• Content:

  • What is Cloud Computing?
  • Cloud Service Models (IaaS, PaaS, SaaS)
  • Deployment Models (Public, Private, Hybrid)
  • Benefits of Cloud Computing (Scalability, Cost-efficiency, Agility)
  • Security Considerations in the Cloud
  • Introduction to Major Cloud Providers

Module 2: Core Cloud Services

• Learning Outcomes:

  • Describe different types of cloud services (compute, storage, networking)
  • Explain serverless computing and its benefits
  • Understand basic cloud management tools

• Content:

  • Compute Services (Virtual Machines, Containers)
  • Storage Services (Object Storage, Block Storage, File Storage)
  • Networking Services (VPNs, Load Balancers)
  • Introduction to Serverless Computing
  • Cloud Management Consoles and Tools

Module 3: Cloud Security

• Learning Outcomes:

  • Identify major cloud security threats
  • Explain key security principles for the cloud (shared responsibility model)
  • Implement basic cloud security best practices (IAM roles, encryption)

• Content:

  • Cloud Security Fundamentals (Shared Responsibility Model)
  • Identity and Access Management (IAM)
  • Data Encryption in the Cloud
  • Security Best Practices for Cloud Users

Module 4: Managing Cloud Resources

• Learning Outcomes:

  • Provision and configure cloud resources (VMs, storage)
  • Manage cloud costs and optimize resource utilization
  • Implement basic automation tools for cloud tasks

• Content:

  • Creating and Managing Virtual Machines in the Cloud
  • Cloud Storage Management
  • Monitoring Cloud Resource Utilization
  • Cloud Cost Optimization Strategies
  • Introduction to Cloud Automation Tools

Module 5: Cloud Networking

• Learning Outcomes:

  • Describe core cloud networking concepts (VPCs, subnets, security groups)
  • Configure basic cloud networking components
  • Understand different cloud network topologies

• Content:

  • Virtual Private Cloud (VPC)
  • Subnets and Security Groups in the Cloud
  • Cloud Load Balancing
  • Cloud Network Topologies and Design Considerations

Module 6: Cloud Databases

• Learning Outcomes:

  • Identify different types of cloud databases (relational, NoSQL)
  • Explore managed database services offered by cloud providers
  • Migrate on-premise databases to the cloud

• Content:

  • Introduction to Cloud Databases (Relational and NoSQL)
  • Managed Database Services (AWS RDS, Azure SQL Database, GCP Cloud SQL)
  • Database Migration Strategies to the Cloud

Module 7: Designing Cloud Solutions

• Learning Outcomes:

  • Develop an understanding of cloud architecture principles
  • Design secure and scalable cloud architectures for specific scenarios
  • Leverage infrastructure as code (IaC) tools for cloud deployments

• Content:

  • Cloud Architecture Fundamentals (Scalability, Security, Availability)
  • Designing Cloud Solutions for Different Use Cases (Web Applications, Big Data)
  • Introduction to Infrastructure as Code (IaC) Tools (Terraform, CloudFormation)

Module 8: Cloud Migration Strategies

• Learning Outcomes:

  • Develop a cloud migration strategy
  • Evaluate different migration approaches (lift and shift, refactoring)
  • Perform a basic cloud migration

• Content:

  • Cloud Migration Planning and Strategies
  • Lift and Shift vs Refactoring for Cloud Migration
  • Hands-on Lab: Migrating a Simple Application to the Cloud

Module 9: Advanced Cloud Topics (continued)

• Learning Outcomes:

  • Explain containerization technologies (Docker, Kubernetes) and their benefits in cloud deployments
  • Explore serverless architectures and design serverless applications
  • Understand disaster recovery and high availability concepts in the cloud

• Content:

  • Introduction to Containerization (Docker, Kubernetes)
  • Building and Deploying Containerized Applications in the Cloud
  • Serverless Architectures and Applications
  • Disaster Recovery and High Availability in the Cloud

Module 10: Cloud Automation and DevOps

• Learning Outcomes:

  • Explain the role of DevOps in cloud deployments
  • Implement continuous integration and continuous delivery (CI/CD) pipelines for cloud applications
  • Automate cloud configurations and deployments using infrastructure as code (IaC) tools

• Content:

  • Cloud DevOps Principles and Practices
  • Continuous Integration and Delivery (CI/CD) for Cloud Applications
  • Automating Cloud Deployments with IaC Tools (Advanced Techniques)

Module 11: Cloud Monitoring and Troubleshooting

• Learning Outcomes:

  • Utilize cloud monitoring tools to track performance metrics
  • Troubleshoot common cloud deployment issues
  • Optimize cloud deployments for performance and cost

• Content:

  • Cloud Monitoring Services and Tools
  • Troubleshooting Cloud Deployments
  • Performance Optimization Techniques for Cloud Applications

Module 12: The Future of Cloud Computing

• Learning Outcomes:

  • Discuss emerging trends and technologies in cloud computing (serverless, AI/ML in the cloud)
  • Explore the impact of cloud computing on different industries

• Content:

  • Emerging Cloud Technologies (Serverless Computing, AI/ML in the Cloud)
  • The Future of Cloud Computing and its Impact on Different Industries