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Big Data on AWS classroom training Course
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Big Data on AWS | Certification Course

49,500.00
3D / 24 HRS

This course will help you learn about data collection, ingestion, storage, processing, and visualization. Learning Plans can also help prepare you for the AWS Certified Data Analytics – Specialty certification exam.

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In this course, "Building A Serverless Data Lake On AWS," you will create a functional data lake that enables the analysis of both structured and unstructured data.
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Building a Serverless Data Lake on AWS

15,000.00
1D / 8 HRS

In this course on Building A Serverless Data Lake On AWS, you will develop an operational data lake that allows the study of structured and unstructured data. You will gain knowledge of the elements and features of the services used to build a data lake.

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Building Batch Data Analytics Solutions on AWS

15,000.00
1D / 8 HRS

You will develop batch data analytics solutions in this course utilizing Amazon EMR; an enterprise-grade managed service for Apache Spark and Apache Hadoop. You will see how Amazon EMR works with AWS services like AWS Glue and AWS Lake Formation, as well as with open-source initiatives like Apache Hive

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Building Data Analytics Solutions Using Amazon Redshift

15,000.00
1D / 8 HRS

You will create a data analytics solution in this course utilizing the cloud data warehouse provider Amazon Redshift. The course focuses on the parts of the analytics pipeline that deal with data collection, ingestion, cataloging, storage, and processing.

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Building Data Lakes on AWS

15,000.00
1D / 8 HRS

In this course, you will develop an operational data lake that allows the study of structured and unstructured data. You will gain knowledge of the elements and features of the services used to build a data lake.

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Data Warehousing on AWS introduces you to the ideas, methods, and best practises for creating a cloud-based data warehousing system using Amazon Redshift, the petabyte-scale data warehouse in AWS.
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Data Warehousing on AWS

49,500.00
3D / 24 HRS

Using Amazon Redshift, the petabyte-scale data warehouse in AWS, Data Warehousing on AWS exposes you to principles, techniques, and best practices for developing a cloud-based data warehousing system. This AWS course shows how to leverage AWS services, including Amazon DynamoDB,

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In this course, you will learn about deep learning on AWS solutions, use cases for deep learning, and its guiding principles. You'll learn how to run deep learning models in the cloud using Amazon SageMaker and the MXNet framework. You'll learn how to use resources like AWS Lambda to run your deep learning algorithms as you build intelligent systems on AWS.
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Deep Learning on AWS

14,500.00
1D / 8 HRS

You will learn about deep learning on AWS solutions in this course, as well as use cases for deep learning and its principles. You’ll discover how to use Amazon SageMaker and the MXNet framework to run deep learning models in the cloud. While creating intelligent systems on AWS, you’ll also learn how to use tools like AWS Lambda to execute your deep learning algorithms.

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In this course, you will learn how to utilise Amazon EKS for Kubernetes container management and orchestration.
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Running Container-Enabled Microservices on AWS

14,500.00
1D / 8 HRS

Without having to build, manage, and maintain your own Kubernetes control plane, as the Amazon EKS makes it simple for you to run Kubernetes on AWS. You will discover how to use Amazon EKS for Kubernetes container management and orchestration in this course.

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This AWS Security course teaches you how to utilise AWS security tools wisely so that you can stay secure when using the AWS Cloud.
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Security Engineering on AWS

49,500.00
3 D / 24 HRS

This course on AWS Security shows you how to use AWS security services effectively to stay safe in the AWS Cloud. The training focuses on the security procedures that AWS suggests using to improve the security of your data and cloud-based services.

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This Machine Learning Pipeline on AWS course discusses how to use an iterative machine learning process pipeline to handle some real-world business difficulties that many firms confront.
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The Machine Learning Pipeline on AWS

60,000.00
4D

This Machine Learning Pipeline on AWS course explores how to the use of the iterative machine learning (ML) process pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the process pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: