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AWS Cloud Practitioner

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May 1, 2024 4 minute read
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The Amazon Web Services (AWS) Cloud Practitioner certification is an entry-level certification designed to validate cloud computing knowledge and skills for individuals new to the AWS platform. It is an excellent starting point for those seeking to pursue a career in cloud computing or enhance their understanding of AWS services.

Why Learn AWS Cloud Practitioner?

Obtaining an AWS Cloud Practitioner certification offers numerous benefits, including:

  • Career advancement: AWS Cloud Practitioner certification is a valuable credential that can enhance your job prospects and open doors to new opportunities.
  • Professional credibility: Earning this certification demonstrates your understanding of AWS cloud concepts and best practices, increasing your credibility among peers and potential employers.
  • Industry recognition: AWS Cloud Practitioner certification is recognized by the industry as a standard for cloud computing knowledge, showcasing your expertise to potential employers.
  • Stay up-to-date: The AWS Cloud Practitioner certification ensures that you are up-to-date on the latest AWS cloud technologies and trends.
  • Foundation for further certifications: AWS Cloud Practitioner certification serves as a foundation for more advanced AWS certifications, such as AWS Solutions Architect or AWS SysOps Administrator.

How can online courses help you learn AWS Cloud Practitioner?

Path to AWS Cloud Practitioner

Take the first step.
We've curated five courses to help you on your path to AWS Cloud Practitioner. Use these to develop your skills, build background knowledge, and put what you learn to practice.
Sorted from most relevant to least relevant:

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Reading list

We've selected five books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in AWS Cloud Practitioner.
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Machine Learning in Python
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Provides an overview of AWS machine learning services, including Amazon SageMaker, Amazon Rekognition, and Amazon Comprehend. It covers topics such as data preparation, model training, and model deployment. It also includes information on best practices for using machine learning in AWS.
(中文) Spark and Python Machine Learning in Action: Core...
Paperback
$$
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Serverless Architectures on AWS, Second Edition
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Provides guidance on how to build and deploy serverless applications on AWS. It covers topics such as using AWS Lambda for serverless compute, Amazon API Gateway for serverless APIs, and Amazon DynamoDB for serverless databases. It also includes information on best practices for serverless development.
Serverless Architectures on AWS, Second Edition
Paperback
$$
Serverless Architectures on AWS, Second Edition
Kindle Edition
$$
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Cloud Application Architectures
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Provides an overview of AWS storage services, including Amazon S3, Amazon EBS, and Amazon Glacier. It covers topics such as data storage, data protection, and data durability. It also includes information on best practices for using storage services in AWS.
Cloud Application Architectures: Building...
Paperback
$$
Cloud Application Architectures: Building...
Kindle Edition
$$
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Learn Amazon Web Services in a Month of Lunches
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Quick-start guide to AWS for beginners. It provides an overview of the AWS platform and its services, and it includes instructions on how to create an AWS account and use the AWS Management Console. It also covers topics such as security, cost optimization, and best practices.
Learn Amazon Web Services in a Month of Lunches
Paperback
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Learn Amazon Web Services in a Month of Lunches
Kindle Edition
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Amazon Web Services For Dummies
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Comprehensive guide to AWS for beginners. It covers all the basics of AWS, including how to create an AWS account, use the AWS Management Console, and work with the different AWS services. It also includes information on security, cost optimization, and best practices.
Amazon Web Services For Dummies
Kindle Edition
$$
Relevant careers
Cloud Architect
Cloud Engineer
Cloud Security Engineer
Cloud Data Engineer
Cloud DevOps Engineer
Related topics
Cloud Computing
AWS
Security
DevOps
Networking
Azure
Big Data
Data Analytics
GCP
Machine Learning
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