LinkedIn Mastery

LinkedIn Mastery

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Description

The LinkedIn Mastery Course is your all-in-one guide to transforming your LinkedIn profile into a powerful tool for personal branding, networking, and career advancement. Whether you’re a job seeker, entrepreneur, content creator, or business professional, this course will teach you how to stand out, attract the right audience, and leverage the platform to unlock real opportunities.

By the end of the course, you’ll not only have a fully optimized and professional profile but also the knowledge and confidence to navigate LinkedIn like a pro. You’ll know how to grow your network, create impactful content, and position yourself as a trusted voice in your industry.

₹199.00 ₹800.00
  • Level
    All Levels
  • Last Updated
    05/05/2025
  • Certificate
    Certificate of completion

Demo Lecture

Course Curriculum

COURSE INSTRUCTION

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₹199.00 ₹800.00
  • Level
    All Levels
  • Last Updated
    05/05/2025
  • Certificate
    Certificate of completion

Demo Lecture

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LinkedIn

Course Instructor

AB
CC

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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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