Introduction:
In this fast-paced digital age, businesses and organizations are rapidly moving towards cloud-based solutions. Cloud computing provides scalability, flexibility, and cost-efficiency, making it crucial for IT professionals to understand cloud architecture and services. This course aims to provide participants with the in-depth knowledge and hands-on experience required to design, deploy, and manage cloud infrastructure efficiently. By leveraging the latest industry practices, tools, and technologies, this training will equip participants with the necessary skills to meet the challenges of the evolving cloud landscape.

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

• Understand the fundamentals of cloud computing and its various deployment models.
• Design and architect scalable, reliable, and secure cloud-based systems.
• Explore and implement services offered by major cloud providers such as AWS, Microsoft Azure, and Google Cloud.
• Identify key considerations for managing cloud infrastructure, including cost management, performance optimization, and security.
• Develop and implement best practices for cloud operations, disaster recovery, and monitoring.

Who Should Attend?
This course is designed for IT professionals, system administrators, solution architects, cloud engineers, and developers who are looking to expand their knowledge in cloud technologies and gain expertise in designing and implementing cloud-based solutions. It is ideal for individuals who wish to enhance their career in cloud computing and take on roles that involve cloud architecture and services management.

Day 1: Introduction to Cloud Computing and Architecture

Morning Session:

• What is Cloud Computing?
  • Overview of cloud computing
  • Key characteristics: On-demand, scalability, elasticity
  • Types of cloud: Public, private, hybrid, multi-cloud
• Cloud Deployment Models
  • Infrastructure as a Service (IaaS)
  • Platform as a Service (PaaS)
  • Software as a Service (SaaS)
  • Function as a Service (FaaS)
• Cloud Architecture Overview
  • Key components: Compute, storage, networking
  • Cloud data centers and regions
  • Cloud service models vs. traditional IT models

Afternoon Session:

• Cloud Service Providers
  • AWS, Microsoft Azure, Google Cloud – comparative analysis
  • Understanding the global reach and infrastructure
• Setting Up Your First Cloud Instance (Hands-On Lab)
  • Provisioning virtual machines
  • Configuring storage and network resources

Day 2: Designing Cloud Infrastructure

Morning Session:

• Cloud Architecture Design Principles
  • High availability, fault tolerance, and scalability
  • Load balancing and auto-scaling strategies
  • Performance and cost optimization
• Case Study: Cloud Architecture Design
  • Real-world use case analysis
  • Understanding client needs and translating them into cloud architecture

Afternoon Session:

• Networking in the Cloud
  • Virtual networks, subnets, VPN, and Direct Connect
  • Cloud security considerations: Firewalls, encryption, and IAM (Identity and Access Management)
• Hands-On Lab: Cloud Network Configuration
  • Setting up a secure cloud network with VPC (Virtual Private Cloud)
  • Configuring security groups and network ACLs

Day 3: Cloud Storage and Data Management

Morning Session:

• Cloud Storage Solutions
  • Object storage, block storage, file storage
  • Database services: SQL vs NoSQL in the cloud
  • Data replication and disaster recovery solutions
• Storage Use Cases
  • Backup and archiving solutions
  • Media and content distribution in the cloud

Afternoon Session:

• Managing Data Security and Compliance in the Cloud

  • GDPR, HIPAA, and other regulatory frameworks
  • Data encryption at rest and in transit
  • Identity and Access Management (IAM) policies for data control

• Hands-On Lab: Setting Up Cloud Storage and Databases

  • Using cloud storage (e.g., S3, Azure Blob)
  • Setting up managed databases (e.g., RDS, Cloud SQL)

Day 4: Cloud Computing Services and Automation

Morning Session:

• Exploring Cloud Services: Compute, Storage, and Networking
  • Elastic Compute Cloud (EC2), Azure VMs, and Google Compute Engine
  • Serverless computing: Lambda, Azure Functions, Google Cloud Functions
  • Managed Kubernetes (EKS, AKS, GKE)

Afternoon Session:

• Automation and DevOps in the Cloud

  • Infrastructure as Code (IaC): Terraform, CloudFormation
  • CI/CD pipelines in the cloud
  • Cloud monitoring and logging services

• Hands-On Lab: Implementing Cloud Automation

  • Setting up an automated deployment pipeline with Terraform
  • Creating and managing cloud resources using code

Day 5: Cloud Security, Management, and Future Trends

Morning Session:

• Cloud Security Best Practices
  • Identity and access management
  • Securing cloud applications
  • Encryption and security at every layer
• Monitoring and Cost Management
  • Using cloud-native monitoring tools (e.g., CloudWatch, Azure Monitor)
  • Cost management and optimization techniques
  • Monitoring performance and resource utilization

Afternoon Session:

• Future Trends in Cloud Computing

  • AI and machine learning integration in the cloud
  • Cloud-native applications and microservices
  • The future of edge computing and 5G in the cloud

• Hands-On Lab: Cloud Security Configuration and Monitoring

  • Setting up security policies and IAM roles
  • Configuring cloud monitoring and alerts