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                Cloud Computing With AWS

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                Course Curriculum

                Module 1: Introduction to Cloud Computing

                • Overview of Cloud Computing
                  • Definition, Characteristics, and Benefits
                  • Types of Cloud Services: IaaS, PaaS, SaaS
                  • Deployment Models: Public, Private, Hybrid, and Community Clouds
                • History and Evolution of Cloud Computing
                  • From On-Premises to the Cloud
                  • Major Milestones and Innovations
                • Why AWS for Cloud Computing?
                  • AWS Overview and Market Leadership
                  • Global Infrastructure: Regions and Availability Zones

                Module 2: Core Concepts of Cloud Computing

                • Virtualization Basics
                  • AWS EC2 Instances as an Example of Virtual Machines
                  • Amazon ECS and EKS for Container Management
                • Networking in the Cloud
                  • Amazon VPC: Subnets, Route Tables, and Gateways
                  • Elastic Load Balancing (ELB) and AWS Direct Connect
                • Storage in the Cloud
                  • AWS S3 for Object Storage: Buckets, Access Policies, and Lifecycle Management
                  • Amazon EBS for Block Storage

                Module 3: Cloud Infrastructure and Architecture

                • Scalability and Elasticity
                  • Using AWS Auto Scaling for Elastic Workloads
                  • Horizontal and Vertical Scaling with Amazon EC2
                • Cloud-Native Architecture
                  • Serverless Computing with AWS Lambda
                  • Orchestrating Containers with Amazon ECS and EKS
                • High Availability and Disaster Recovery
                  • Multi-Region Deployments with AWS Route 53
                  • Backup Strategies Using AWS Backup

                Module 4: Security in the Cloud

                • Cloud Security Fundamentals
                  • Shared Responsibility Model with AWS
                  • Identity and Access Management (IAM) for User Roles and Permissions
                • Data Security
                  • Encryption Using AWS Key Management Service (KMS)
                  • Monitoring and Auditing with AWS CloudTrail
                • Compliance and Governance
                  • Managing Compliance with AWS Config and Artifact

                Module 5: Cloud Service Models

                • Infrastructure as a Service (IaaS)
                  • Provisioning EC2 Instances
                  • Managing Storage and Networking with Amazon VPC and Elastic IPs
                • Platform as a Service (PaaS)
                  • Deploying Applications Using AWS Elastic Beanstalk
                • Software as a Service (SaaS)
                  • Exploring AWS Marketplace for SaaS Solutions

                Module 6: DevOps and Automation in the Cloud

                • Cloud and DevOps Integration
                  • Building CI/CD Pipelines with AWS CodePipeline and CodeDeploy
                • Infrastructure as Code (IaC)
                  • Automating Resource Provisioning Using AWS CloudFormation and Terraform
                • Monitoring and Logging
                  • Application Monitoring with Amazon CloudWatch

                Module 7: Cloud Economics and Optimization

                • Cost Management in AWS
                  • Exploring AWS Pricing Models
                  • Using AWS Budgets and Cost Explorer to Track and Optimize Costs
                • Resource Optimization
                  • Reserved Instances and Savings Plans in EC2
                  • Using Trusted Advisor for Recommendations
                • Sustainability in the Cloud
                  • AWS’s Commitment to Renewable Energy and Carbon Footprint Reduction

                Module 8: Emerging Trends in Cloud Computing

                • Edge Computing with AWS
                  • AWS IoT Greengrass and AWS Wavelength
                • AI and Machine Learning in the Cloud
                  • Using Amazon Sage Maker for Machine Learning Workflows
                • Hybrid and Multi-Cloud Strategies
                  • Managing Hybrid Environments with AWS Outposts

                Module 9: Projects

                 

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