Packt

AWS Data, Integration and Modern Workloads

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Packt

AWS Data, Integration and Modern Workloads

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Master AWS database services (RDS, DynamoDB, Aurora, Redshift) and their use cases.

  • Integrate applications and workflows using SNS, MQ, SQS, and Step Functions.

  • Analyze data and develop machine learning models using AWS services like Athena, SageMaker, and Rekognition.

Details to know

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Recently updated!

April 2026

Assessments

7 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the AWS Cloud Practitioner CLF-C02 Exam Training Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 5 modules in this course

In this module, we will introduce AWS database services, focusing on Amazon RDS and its use for managing relational databases. You’ll also gain hands-on experience with database creation and learn about other advanced database solutions like Aurora, DynamoDB, and Redshift. By the end, you’ll understand how to choose the right database service based on application needs and scalability requirements.

What's included

5 videos2 readings1 assignment

In this module, we will explore Amazon Route 53, AWS’s scalable and highly available DNS web service. You’ll learn how to configure Route 53 for domain registration, routing policies, and ensuring failover mechanisms. By the end, you'll be equipped to manage the DNS needs of your web applications effectively.

What's included

1 video1 assignment

In this module, we will dive into AWS’s application integration services, starting with Amazon SNS for notifications, and moving to Amazon MQ and SQS for managing message-based workflows. Additionally, we’ll explore AWS Step Functions and SWF to streamline and orchestrate complex application workflows. You’ll gain the tools needed to integrate your applications efficiently on AWS.

What's included

3 videos1 assignment

In this module, we will explore AWS analytics services, from querying data in Amazon S3 using Amazon Athena to processing real-time data streams with Amazon Kinesis. You’ll also gain insights into Amazon Glue for ETL processes and Amazon QuickSight for data visualizations. By the end, you’ll be prepared to leverage these tools for advanced data analytics in the cloud.

What's included

4 videos1 assignment

In this module, we will introduce you to machine learning services on AWS, starting with Amazon Rekognition for analyzing images and videos. You’ll explore Amazon Polly for building speech-enabled applications and learn about Amazon SageMaker for end-to-end machine learning model development. This module will provide you with the foundational knowledge to integrate machine learning into your AWS applications.

What's included

6 videos1 reading3 assignments

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Instructor

Packt - Course Instructors
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1,626 Courses472,392 learners

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