AWSAD: Advanced Developing on AWS
AWS
Code: AWSAD
$2,550.00 excl GST
Length: 3 Days
This course follows on the concepts learned in Developing on AWS concerting legacy systems into a serverless microservices architecture.
This course follows on the concepts learned in Developing on AWS concerting legacy systems into a serverless microservices architecture.
DevOps Engineering on AWS demonstrates how to use the most common DevOps patterns to develop, deploy and maintain applications on AWS. The course covers the core principles of the DevOps methodology and examines a number of use cases applicable to startup, small-medium business, and enterprise development scenarios.
Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS
Deep Learning on AWS is a one-day course that introduces you to cloud-based Deep Learning (DL) solutions on Amazon Web Services (AWS)
Migrating to AWS covers various cloud migration strategies with a detailed discussion on each phase of the migration process, including portfolio discovery, application migration planning and design, migration execution, and post-migration validation and application optimisation
In this course, you will learn how to select the right strategy, people, migration plan, and financial management methodology to move your workloads to the AWS Cloud. You will learn how to build a holistic cloud adoption plan and how to hire people to execute that plan. You will learn best practices for choosing workloads to migrate from your on-premises environment to AWS. You will also learn best practices for managing your AWS expenses and dealing with internal chargebacks.This course focuses on the business aspects of cloud transformation, rather than the technical aspects.
In this one-day, advanced course, you will learn to design, build, and operate a serverless data lake solution with AWS services. This course will include topics such as ingesting data from any data source at large scale, storing the data securely and durably, enabling the capability to use the right tool to process large volumes of data, and understanding the options available for analyzing the data in near-real time.
Running Container-Enabled Microservices on AWS is designed to teach you how to manage and scale container-enabled applications by using Amazon EC2 Container Service (ECS).
In this course, we show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Hive and Hue. We also teach you how to create big data environments, work with Amazon DynamoDB, Amazon Redshift, Amazon Quicksight, Amazon Athena and Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness.