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BUILDING-A-SERVERLESS-DATA-LAKE-ON-AWS-CLASSROOM-TRAINING
0

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
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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-CLASSROOM-TRAINING
0

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.

New
BUILDING-DATA-LAKES-ON-AWS-CLASSROOM-TRAINING
0

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.

New
DATA-WAREHOUSING-ON-AWS-CLASSROOM-TRAINING
0

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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DEEP-LEARNING-ON-AWS-CLASSROOM-TRAINING
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Deep Learning on AWS

15,000.00
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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RUNNING-CONTAINER-ENABLED-MICROSERVICES-ON-AWS-CLASSROOM-TRAINING
0

Running Container-Enabled Microservices on AWS

15,000.00
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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SECURITY-ENGINEERING-ON-AWS-CLASSROOM-TRAINING
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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.

New
THE-MACHINE-LEARNING-PIPELINE-ON-AWS-CLASSROOM-TRAINING
0

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: