1. Certification Screenshot

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  2. Course Completion Screenshot

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  3. Summary

    1. AWS Cloud Technical Essentials – Week 1 Summary
      1. In Week 1 of the course, you were introduced to the basics of cloud computing, specifically how Amazon Web Services (AWS) operates in the real world. You learned that cloud computing is essentially the practice of using remote servers (instead of local computers) to store, manage, and process data. The cloud’s big value proposition is flexibility, it allows businesses to scale up or down based on demand, without the cost and hassle of physical infrastructure.
      2. The course also introduced you to the concept of AWS Global Infrastructure. AWS has data centers worldwide, spread across multiple regions and availability zones, ensuring high availability, redundancy, and low latency. This makes AWS particularly powerful for applications that need to reach a global audience quickly, like streaming services or e-commerce websites.
      3. A significant part of Week 1 was dedicated to security, and how AWS approaches securing data. The AWS Shared Responsibility Model outlines that while AWS takes care of the security of the cloud (like maintaining the hardware and the underlying infrastructure), customers are responsible for security in the cloud (like managing user access and securing data). This is a critical distinction in understanding how to protect sensitive information when using AWS services.
      4. The IAM (Identity and Access Management) module was also a highlight, teaching you how to control who can access your AWS resources. With IAM, you can set up permissions for users and assign roles based on their job functions, which is crucial for maintaining the security and integrity of your cloud environment.
    2. AWS in Cloud & IoT
      1. When thinking about AWS in the context of Cloud & IoT, it’s clear that AWS offers a robust platform for building, managing, and scaling IoT applications. AWS provides the infrastructure, services, and security tools to handle the vast amounts of data generated by IoT devices. Here's how you can see AWS applied:
      2. Scalable Storage and Processing: IoT devices generate large volumes of data. AWS helps manage this data through services like Amazon S3 (for storage) and AWS Lambda (for serverless processing), allowing businesses to scale as their IoT solutions grow.
      3. Real-Time Analytics: AWS can process IoT data in real-time using services like AWS IoT Core and Amazon Kinesis, enabling businesses to make immediate decisions based on data gathered from connected devices.
      4. Security: With IAM and the Shared Responsibility Model, securing IoT data is a critical part of AWS’s offering. The platform ensures that only authorized users can access the devices or the data they generate.
      5. Global Reach: If your IoT devices are deployed globally, AWS’s infrastructure across regions and availability zones ensures that your data is processed and stored in the closest available location, minimizing latency.
    3. In short, AWS gives businesses the tools to build secure, scalable, and efficient cloud-based IoT solutions.