AWS Training In New York

This course is for individuals who seek an overall understanding of the Amazon Web Services (AWS) Cloud. You will learn about AWS Cloud concepts, AWS services, security, architecture, pricing, and support.

 This AWS Technical Essentials course introduces you to AWS services, and common solutions. It provides you with fundamental knowledge to become more proficient in identifying AWS services.

In this course Architecting on AWS, you will learn to identify services and features to build resilient, secure and highly available IT solutions on the AWS Cloud.

In this course, each module presents a scenario with an architectural challenge to be solved. You will examine available AWS services and features as solutions to the problem.

Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing a cloudbased data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS.

In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake.

In this course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service.

Learn to build streaming data analytics solutions using AWS services, including Amazon Kinesis and Amazon Managed Streaming for Apache Kafka

This bootcamp is a collection of four one-day AWS courses including Building Data Lakes on AWS, Building Batch Data Analytics Solutions on AWS, Building Data Analytics Solutions Using Amazon Redshift, and Building Streaming Data Analytics Solutions on AWS.

This course teaches how to programmatically interact with AWS services to build web solutions. Includes code examples to help you implement the design patterns and solutions needed.

The Advanced Developing on AWS course uses the real-world scenario of taking a legacy, on-premises monolithic application and refactoring it into a serverless microservices architecture.

You will learn how to frame your business problems as ML problems and use Amazon SageMaker to train, evaluate, tune, and deploy ML models.

This course walks through the stages of a typical data science process for Machine Learning from analyzing and visualizing a dataset to preparing the data, and feature engineering.

This AWS Migration Essentials course is intended to provide solutions architects with the foundational knowledge required to successfully plan and perform lift and shift migrations to the AWS Cloud.

In this course you will learn about various cloud migration strategies, including portfolio discovery, application migration planning and design, conducting a migration, and post-migration validation and application optimization.

This AWS Security Essentials course covers fundamental AWS cloud security concepts, including AWS access control, data encryption methods, and how network access to your AWS infrastructure can be secured.

This course demonstrates how to efficiently use AWS security services to stay secure in the AWS Cloud. The course focuses on the security practices that AWS recommends for enhancing the security of your data and systems in the cloud.

DevOps Engineering on AWS teaches you how to use the combination of DevOps cultural philosophies, practices, and tools to increase your organization’s ability to develop, deliver, and maintain applications and services at high velocity on AWS.

In this AWS Cloud Financial Management for Builders course, you will learn how to implement architectural best practices, explore cost optimisation strategies, and design patterns to help you architect cost-efficient solutions on AWS.