

Our Courses

Working with Amazon DynamoDB using Python & Boto3
In this 2-hours long project, we will look at how to work with DynamoDB, a fully managed NoSQL Database provided by Amazon Web Services (AWS) using Python & Boto3.
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Course by
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Self Paced
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3 hours
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English

Integrating AWS with the SDK
In this course, we start with the basics of AWS Identity and Access Management to understand the different forms of authentication and security when integrating AWS services. We refactor an existing application using the AWS SDK to replace storage functionality with Amazon Simple Storage Service and Amazon DynamoDB. Next, we investigate using compute services Amazon EC2 and AWS Lambda to run our application code. In the final upgrade, we expose the application functionality as an API with Amazon API Gateway.
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Course by
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Self Paced
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11 hours
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English

AWS Fundamentals: Building Serverless Applications
This course will introduce you to Amazon Web Services (AWS) serverless architecture. Through demonstrations and hands-on exercises you'll learn skills in building and deploying serverless solutions.
Using real-world examples of a serverless website and chat bot, you'll build upon your existing knowledge of the AWS cloud to take advantage of the benefits of modern architectures for greater agility, innovation, and lower total cost of ownership across a range of AWS services, including AWS Lambda, Amazon API Gateway, Amazon DynamoDB, and Amazon Lex.
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Course by
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Self Paced
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11 hours
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English

AWS DynamoDB Fundamentals
Amazon DynamoDB Fundamentals is a skill enhancement course designed for candidates aiming to enhance their knowledge as Database professionals. This course will help learners understand working with NoSQL databases. Furthermore, fluency in basic concepts of AWS DynamoDB brings long-term opportunities with a specialization in database designing on the cloud. This course provides 7+ hours of training videos which are segmented into modules. The course concepts are easy to understand through lab demonstrations.
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Course by
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Self Paced
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19 hours
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English