AWS Database, Machine Learning, and DevOps Training: A Comprehensive Guide

Are you interested in learning how to use AWS for databases, machine learning, or DevOps? Do you want to expand your knowledge and skills in these fields and boost your career prospects? If yes, then AWS training and certification can be your ideal solution.

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In this article, we will provide you with a complete guide to AWS database, machine learning, and DevOps training. We will cover the benefits of AWS training, different certification paths, exam formats, and recommended training resources. So, let's get started!

Table of Contents

  1. Introduction
  2. Why AWS training?
  3. AWS certification paths
    • AWS Database certification
    • AWS Machine Learning certification
    • AWS DevOps certification
  4. AWS certification exams
    • Exam formats
    • Exam domains
  5. Recommended training resources
    • AWS Training and Certification portal
    • AWS re:Invent conference
    • AWS certified community
  6. Conclusion
  7. FAQs

Introduction

AWS offers a wide range of services for databases, machine learning, and DevOps. AWS database services include Amazon Relational Database Service (RDS), Amazon DynamoDB, and Amazon Aurora. AWS machine learning services include Amazon SageMaker, Amazon Rekognition, and Amazon Comprehend. AWS DevOps services include AWS CodeCommit, AWS CodePipeline, and AWS CodeDeploy.

However, to use these services effectively, you need to have the necessary skills and knowledge. AWS training and certification can help you or your team gain these skills and knowledge and become proficient in using AWS for databases, machine learning, and DevOps.

Why AWS Training?

AWS training offers several benefits, such as:

  • Gain hands-on experience: AWS training provides hands-on experience with AWS services, enabling you to learn by doing and gain practical skills.
  • Enhance your skills: AWS training enables you to learn the latest technologies and practices in databases, machine learning, and DevOps, enhancing your skills and knowledge.
  • Boost your career: AWS certification can enhance your career prospects in databases, machine learning, and DevOps, making you more competitive in the job market.
  • Join a global community: AWS certification enables you to join a global community of certified professionals who can share knowledge, best practices, and networking opportunities.

AWS Certification Paths

AWS offers three main certification paths in databases, machine learning, and DevOps:

AWS Database Certification

The AWS Database certification validates your ability to design, deploy, and manage AWS-based databases. This certification is suitable for database administrators, solutions architects, and anyone who wants to use AWS for databases.

The AWS Database certification has two levels:

  • AWS Certified Database – Specialty
  • AWS Certified Database – Associate

AWS Machine Learning Certification

The AWS Machine Learning certification validates your ability to design, build, deploy, and maintain machine learning solutions on AWS. This certification is suitable for data scientists, machine learning engineers, and anyone who wants to use AWS for machine learning.

The AWS Machine Learning certification has one level:

  • AWS Certified Machine Learning – Specialty

AWS DevOps Certification

The AWS DevOps certification validates your ability to use AWS for DevOps practices, including continuous integration, delivery, and deployment. This certification is suitable for DevOps engineers, solutions architects, and anyone who wants to use AWS for DevOps.

The AWS DevOps certification has two levels:

  • AWS Certified DevOps Engineer – Professional
  • AWS Certified DevOps Engineer – Associate

AWS Certification Exams

AWS certification exams are designed to test your knowledge and skills in the respective fields. The exams are delivered in a proctored environment and are available in multiple languages.

Exam Formats

AWS certification exams are available in two formats:

  • Multiple

 

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