Note_Tech

All technological notes.

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AWS Certification Path

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• AWS Certification Path
  • Architecture
  • Development
  • Operations
  • DevOps
  • Security
  • Networking
  • Data Analytics
  • AI/ML

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Architecture

• Solutions Architect
  • Design, develop, and manage cloud infrastructure and assets, work with DevOps to migrate applications to the cloud

• Application Architect
  • Design significant aspects of application architecture including user interface, middleware, and infrastructure, and ensure enterprise-wide scalable, reliable, and manageable systems

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Development

• Software Development Engineer
  • Develop, construct, and maintain software across platforms and devices

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Operations

• Systems Administrator
  • Install, upgrade, and maintain computer components and software, and integrate automation processes

• Cloud Engineer
  • Implement and operate an organization’s networked computing infrastructure and Implement security systems to maintain data safety

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DevOps

• Test Engineer
  • Embed testing and quality best practices for software development from design to release, throughout the product life cycle

• Cloud DevOps Engineer
  • Design, deployment, and operations of large-scale global hybrid cloud computing environment, advocating for end-to-end automated CI/CD DevOps pipelines

• DevSecOps Engineer
  • Accelerate enterprise cloud adoption while enabling rapid and stable delivery of capabilities using CI/CD principles, methodologies, and technologies

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Security

• Cloud Security Engineer
  • Design computer security architecture and develop detailed cyber security designs. Develop, execute, and track performance of security measures to protect information

• Cloud Security Architect
  • Design and implement enterprise cloud solutions applying governance to identify, communicate, and minimize business and technical risks

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Networking

• Network Engineer
  • Design and implement computer and information networks, such as local area networks (LAN), wide area networks (WAN), intranets, extranets, etc.

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Data Analytics

• Cloud Data Engineer
  • Automate collection and processing of structured/semi-structured data and monitor data pipeline performance

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AI/ML

• Machine Learning Engineer
  • Research, build, and design artificial intelligence (AI) systems to automate predictive models, and design machine learning systems, models, and schemes

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