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    JAVA Programming

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    Machine Learning

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    MERN Full Stack Web Developer

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    Python Programming

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    Special Combo (Data Science + Python Programming)

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    Special Combo (Front-End Development + UI/UX Designing)

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    Special Combo (Machine Learning + Python Programming)

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    SQL (Structured Query Language)

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    Super Combo (Machine Learning + Data Science)

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    UI / UX Designing

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            Cloud Computing With AWS

            Demo Lecture

            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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