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AWS Certified Cloud Practitioner (CLF-C02) Cert Prep: 3 Cloud Technology and Services

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Cloud Computing continues to be a dominant platform, but documentation and resources for using AWS can be rife with technical jargons and concepts that are challenging for people without technical backgrounds to understand. In this introductory course, Hiroko Nishimura, AWS Community Hero and founder of AWS Newbies, gets you up to speed on the benefits of cloud computing and AWS, while helping you prepare for the Cloud Technology and Services domain of the AWS Certified Cloud Practitioner (CFL-C02) exam. Learn about deploying and operating in AWS Cloud. Explore compute, storage, database, and network services. Dive into AI, machine learning, and analytic services. Plus, learn how to use the management tools available to you in AWS.


01 - Introduction
  • 01 - Technology highlights
  • 02 - AWS Certified Cloud Practitioner exam
  • 03 - Cloud Technology and Services domain

  • 02 - 1. Deploying and Operating in AWS Cloud
  • 01 - Interacting with the AWS Cloud
  • 02 - Connecting with the AWS Cloud
  • 03 - Cloud deployment models
  • 04 - AWS global infrastructure
  • 05 - Study break Deploying and operating in AWS

  • 03 - 2. Compute Services
  • 01 - Amazon EC2
  • 02 - Container services
  • 03 - Elastic Beanstalk
  • 04 - Elastic Load Balancing
  • 05 - Serverless services
  • 06 - Amazon Lightsail
  • 07 - Deploying and operating in AWS
  • 08 - Study break Reviewing Compute Services

  • 04 - 3. Storage Services
  • 01 - Types of storage
  • 02 - Amazon S3
  • 03 - Amazon Elastic Block Store
  • 04 - AWS Snow Family
  • 05 - AWS Storage Gateway
  • 06 - AWS Backup
  • 07 - Study break Reviewing storage services

  • 05 - 4. Database Services
  • 01 - Database services
  • 02 - Evaluate Hosted or managed database
  • 03 - Study break Reviewing database services

  • 06 - 5. Network Services
  • 01 - Amazon VPC
  • 02 - Amazon CloudFront
  • 03 - AWS Global Accelerator
  • 04 - Amazon Route 53
  • 05 - Study break Network services

  • 07 - 6. Artificial Intelligence, Machine Learning, and Analytics Services
  • 01 - AIML services
  • 02 - Data analytics services
  • 03 - Study break Reviewing AIML and analytics services

  • 08 - 7. Management Tools
  • 01 - AWS CloudFormation
  • 02 - AWS CloudTrail
  • 03 - Amazon CloudWatch
  • 04 - Study break Reviewing management tools

  • 09 - 8. Other Services
  • 01 - Not-so-short list of services to keep in mind

  • 10 - Conclusion
  • 01 - Study break Exam tips and resources
  • 02 - Next steps
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