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Course Description Video (Must Watch)

Embedded AWS Cloud <> Python Gateway

Complete Source Code Included

9+ hours of training content

Empowering Embedded Devices with Cloud Storage : Amazon Web Services(AWS)

This course seamlessly merges the realms of embedded systems and Amazon Web Services (AWS). As an engineer, IT professional, data analyst, or tech enthusiast, this course is a crucial tool in your kit for navigating the IoT landscape.

AWS, alongside Microsoft Azure and Google Cloud, stands tall as one of the three most reputable and widely-used cloud service providers in the industry. This course spotlights AWS, providing you with hands-on experience and profound insights into the features, services, and best practices that have solidified AWS as a go-to choice for IoT professionals worldwide.

Empowering Embedded Devices with Cloud Storage : Amazon Web Services(AWS)

Through this course, you will:

Leverage Python for Effective Communication:

Harness the power of Python for UART communication, from scripting to error detection and handling, preparing you for the real-world challenges of IoT applications.

Navigate the AWS Ecosystem:

Get an insider's tour of AWS, from setting up an account to exploring the diverse range of services it offers. Understand how to create access keys for local development and configure Boto3 access keys.

Experience the Potential of AWS S3 Storage Service:

Understand the workings of AWS's storage service, from creating and inspecting S3 buckets to managing file uploads and downloads.

Appreciate the Role of Databases in IoT:

Gain insights into the variety of databases, their role in IoT systems, and the distinct characteristics of SQL and NoSQL databases. Understand the pros and cons of cloud-based versus local databases.

Explore AWS DynamoDB NoSQL Database Service:

Dive into DynamoDB, AWS's NoSQL database service. Learn to create tables, insert data, and retrieve data, equipping you with the tools to manage large-scale real-time data in IoT systems.

Develop an Embedded AWS Cloud Storage System:

Put your knowledge into practice by saving sensor data into local CSV files, uploading these files to S3 buckets, and storing real-time sensor data in DynamoDB.

Understand Considerations for AWS Usage:

Uncover key considerations when using AWS S3 buckets and DynamoDB, including pricing and scalability, among others.

Bring Your Skills to Life by Analyzing some Real-World Case Studies

Analyze some real-life IoT scenarios, ranging from quality control in production lines to laboratory equipment monitoring, and more.

Whether you're new to IoT, a seasoned professional seeking to enhance your skills, or a tech hobbyist, this course will equip you with the knowledge and expertise to implement IoT solutions using AWS. Join us on a fascinating exploration of the AWS ecosystem, and step confidently into the future of IoT.

A little about me : Israel Ninsaw Gbati

Some of you may have taken some of my embedded systems courses from other online platforms.

This is my private channel.

I have been writing embedded firmware for years, I have built embedded devices like consumer products and robotic arms.

Till date I have

trained over 100,000 students in embedded

firmware development online till date

...including third year undergraduate university students in-person.

If you have taken any of my courses before you will know I start from the absolute basics, I do not assume that the student has any prior knowledge of the topic under discussion. You will also know that by the end of the course you understand the functions of every register used in developing the particular firmware or driver.

This method is the same for all of my published embedded systems courses.

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