Amazon Web Services (AWS)

Planning and Designing Databases on AWS
Level: Intermediate | Duration: 3 Days
  • Classroom
  • Virtual Classroom
  • Online
In this course, you will learn about the process of planning and designing both relational and nonrelational databases. You will learn the design considerations for hosting databases on Amaz...
Data Warehousing on AWS
Level: Intermediate | Duration: 3 Days
  • Classroom
  • Virtual Classroom
  • Online
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 wareho...
Machine Learning Pipelines on AWS
Level: Intermediate | Duration: 4 Days
  • Classroom
  • Virtual Classroom
  • Online
This course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the pipel...
Building Data Lakes on AWS
Level: Intermediate | Duration: 1 Day
  • Classroom
  • Virtual Classroom
  • Online
...
Practical Data Science with Amazon SageMaker
Level: Intermediate | Duration: 1 Day
  • Classroom
  • Virtual Classroom
  • Online
You will learn how to solve a real-world use case with Machine Learning (ML) and produce actionable results using Amazon SageMaker. This course walks through the stages of a typical data sci...
Building Modern Data Analytics Solutions on AWS
Level: Expert | Duration: 4 Days
  • Classroom
  • Virtual Classroom
  • Online
...
Building Streaming Data Analytics Solutions on AWS
Level: Expert | Duration: 1 Day
  • Classroom
  • Virtual Classroom
  • Online
...
Building Batch Data Analytics Solutions on AWS
Level: Expert | Duration: 1 Day
  • Classroom
  • Virtual Classroom
  • Online
...
Building Data Analytics Solutions Using Amazon Redshift
Level: Expert | Duration: 1 Day
  • Classroom
  • Virtual Classroom
  • Online
...
MLOps Engineering on AWS
Level: Expert | Duration: 3 Days
  • Classroom
  • Virtual Classroom
  • Online
This course builds upon and extends the DevOps practice prevalent in software development to build, train, and deploy machine learning (ML) models. The course stresses the importance of data...
Amazon SageMaker Studio for Data Scientists
Level: Expert | Duration: 3 Days
  • Classroom
  • Virtual Classroom
  • Online
Explore Amazon SageMaker Studio helps data scientists prepare, build, train, deploy, and monitor machine learning (ML) models. Amazon SageMaker Studio helps data scientists prepare, build,...
Developing Generative AI Applications on AWS
Level: Intermediate | Duration: 2 Days
  • Classroom
  • Virtual Classroom
  • Online
This course is designed to introduce generative artificial intelligence (AI) to software developers interested in using large language models (LLMs) without fine-tuning. The course provides...
Build Modern Applications with AWS NoSQL Databases
Level: Intermediate | Duration: 1 Day
  • Classroom
  • Virtual Classroom
  • Online
In this 1-day instructor-led course, learners will be introduced to intermediate to advanced level concepts on NoSQL AWS Database services for handling key-value, document and cache data. Th...

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