Special Combo (Data Science + Python Programming)

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