Introduction:
Cloud computing has become a cornerstone of modern IT infrastructure, offering flexibility, scalability, and cost efficiency. However, deploying and managing cloud environments effectively requires a comprehensive understanding of cloud platforms, services, and best practices. This hands-on lab-based course provides participants with the skills to deploy, configure, manage, and optimize cloud environments on major cloud platforms such as AWS, Microsoft Azure, and Google Cloud. Participants will gain practical experience in provisioning resources, configuring services, managing security, and monitoring cloud applications.

Objectives:
By the end of this course, participants will be able to:

• Understand cloud computing models (IaaS, PaaS, SaaS) and deployment strategies (public, private, hybrid).
• Provision and configure resources in cloud environments using major platforms (AWS, Azure, Google Cloud).
• Implement security and access control measures in the cloud.
• Manage and monitor cloud services for performance, reliability, and cost optimization.
• Deploy and manage cloud applications and infrastructure as code using automation tools.
• Troubleshoot common cloud deployment issues and ensure high availability.

Who Should Attend?
This course is ideal for IT professionals, cloud architects, system administrators, and developers who are responsible for deploying and managing cloud environments. It is suitable for:

• Cloud engineers and administrators.
• DevOps engineers.
• IT managers and system architects involved in cloud strategy.
• Developers looking to learn cloud deployment and management.
• Students and professionals interested in gaining practical cloud experience.

Day 1: Introduction to Cloud Computing and Platforms

Morning Session:

• Introduction to Cloud Computing

  • What is cloud computing? Understanding the benefits and challenges of cloud adoption.
  • Cloud service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
  • Cloud deployment models: Public, private, hybrid clouds, and multi-cloud strategies.
  • Major cloud platforms overview: AWS, Microsoft Azure, Google Cloud, and their service offerings.

• Cloud Security and Compliance Basics

  • Key principles of cloud security: Data protection, encryption, and access management.
  • Security models in the cloud: Shared responsibility model, IAM (Identity and Access Management).
  • Compliance requirements in the cloud: GDPR, HIPAA, SOC2, PCI DSS.

Afternoon Session:

• Hands-On Lab: Getting Started with Cloud Platforms
  • Setting up accounts in AWS, Microsoft Azure, or Google Cloud.
  • Navigating the cloud consoles: Introduction to AWS Management Console, Azure Portal, and Google Cloud Console.
  • Provisioning basic resources: Virtual machines (VMs), storage, and networking services.
  • Understanding billing and cost estimation in the cloud.

Day 2: Cloud Infrastructure Deployment

Morning Session:

• Provisioning and Managing Cloud Resources

  • Working with compute services: EC2 (AWS), Virtual Machines (Azure), Compute Engine (Google Cloud).
  • Cloud storage solutions: S3 (AWS), Blob Storage (Azure), Cloud Storage (Google Cloud).
  • Networking in the cloud: VPC (AWS), Virtual Network (Azure), Virtual Private Cloud (Google Cloud).
  • Setting up and managing load balancers and auto-scaling groups.

• Cloud Resource Automation and Infrastructure as Code (IaC)

  • Introduction to Infrastructure as Code (IaC) using tools like Terraform and CloudFormation.
  • Benefits of IaC for cloud deployment: Versioning, repeatability, and consistency.
  • Automating resource provisioning and management with cloud-native tools.

Afternoon Session:

• Hands-On Lab: Deploying Cloud Infrastructure
  • Provisioning a virtual machine and configuring network settings.
  • Setting up cloud storage and configuring access controls.
  • Implementing auto-scaling and load balancing for a simple web application.
  • Deploying cloud resources using Terraform or AWS CloudFormation templates.

Day 3: Cloud Security and Identity Management

Morning Session:

• Cloud Security Basics

  • Securing cloud infrastructure: Firewall rules, security groups, and network ACLs.
  • Identity and Access Management (IAM) in the cloud: Users, roles, policies, and permissions.
  • Managing encryption: Data-at-rest and data-in-transit encryption strategies.
  • Securing cloud applications: Application firewalls, API security, and DDoS protection.

• Access Management and Multi-Factor Authentication (MFA)

  • Configuring IAM roles and policies to enforce the principle of least privilege.
  • Enabling MFA for additional security.
  • Managing access to cloud resources and services with RBAC (Role-Based Access Control).

Afternoon Session:

• Hands-On Lab: Securing Cloud Resources
  • Configuring IAM roles, users, and policies to manage permissions.
  • Enabling MFA for user accounts and securing access to sensitive resources.
  • Implementing security groups, network ACLs, and encryption for cloud services.
  • Securing cloud storage with access controls and encryption keys.

Day 4: Cloud Monitoring, Performance, and Cost Optimization

Morning Session:

• Monitoring Cloud Resources

  • Introduction to cloud monitoring tools: AWS CloudWatch, Azure Monitor, Google Cloud Operations Suite.
  • Setting up alerts and notifications for performance metrics: CPU, memory usage, disk I/O.
  • Log management and analysis: Centralized logging with CloudWatch Logs, Azure Log Analytics, or Stackdriver (Google Cloud).

• Performance Optimization and Troubleshooting

  • Techniques for optimizing cloud resource usage and reducing costs.
  • Identifying and resolving performance bottlenecks: Network, storage, compute resources.
  • Scaling cloud infrastructure for high availability and fault tolerance.

Afternoon Session:

• Hands-On Lab: Monitoring and Optimizing Cloud Resources
  • Setting up monitoring dashboards and performance alerts.
  • Analyzing log data to identify performance issues.
  • Implementing cost optimization strategies: Reserved instances, autoscaling, and rightsizing resources.

Day 5: Cloud Application Deployment, Management, and Automation

Morning Session:

• Deploying Cloud Applications

  • Overview of deploying applications in the cloud: Containers, serverless, and traditional VM-based deployments.
  • Container orchestration with Kubernetes: Setting up and deploying containerized applications.
  • Serverless computing with AWS Lambda, Azure Functions, and Google Cloud Functions.

• Continuous Integration and Continuous Deployment (CI/CD)

  • Building CI/CD pipelines for automating deployments: Jenkins, GitLab CI, AWS CodePipeline.
  • Automating testing, building, and deployment of applications in the cloud.
  • Implementing DevOps practices in cloud environments for faster and more reliable releases.

Afternoon Session:

• Hands-On Lab: Deploying and Automating Cloud Applications

  • Deploying a simple web application on a virtual machine or containerized instance.
  • Setting up a basic CI/CD pipeline for automating deployments.
  • Configuring serverless functions to handle specific tasks in the cloud.

• Final Q&A, Course Review, and Certification Exam

  • Recap of key concepts covered in the course.
  • Open Q&A session to address any remaining questions.
  • Certification exam to assess participants’ knowledge of cloud deployment and management.
  • Awarding certificates to successful participants.