AWS Developer Associate 2021: Serverless Compute Services

Amazon Web Services 2021    |    Intermediate
  • 14 Videos | 1h 33m 40s
  • Includes Assessment
  • Earns a Badge
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Serverless compute services provide cloud-based server software and hardware management on a pay-per-use basis. Use this course to explore the serverless compute model in AWS. Start with a theoretical view of the compute services of AWS Lambda before examining how to work with Lambda functions, including versions, aliases, and advanced configuration settings. Investigate methods for invoking Lambda functions, maintaining state, and using extensions. Then, explore further capabilities, such as configuring Lambda runtime and permissions. Moving along, create various lambda functions and applications. Upon course completion, you'll be able to use AWS Lambda to achieve a serverless compute model. This course is part of a collection that prepares learners for the AWS Certified Developer - Associate 2021 certification exam.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    detail how the serverless compute model works
    name the features of the AWS Lambda compute service
    outline how to manage and configure AWS Lambda functions
    describe the concepts of versions and aliases using AWS Lambda functions and advanced configuration settings, such as memory and the virtual private cloud
    outline methods for invoking Lambda functions, maintaining state, and using extensions
    list the features and components of an AWS Lambda application, such as Lambda functions, event sources, and other resources
  • identify how Lambda supports multiple languages by allowing for the use of runtimes and containers
    recognize how AWS Identity and Access Management (IAM) can be used to access the Lambda API and resources as well as AWS services and resources
    create a simple Lambda function using the console
    create a simple HTML application that uses Amazon Cognito to get credentials and invoke a Lambda function
    create an application using the Lambda console that is integrated with a continuous delivery pipeline
    create an AWS Lambda function using a custom runtime
    summarize the key concepts covered in this course

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    2m 22s
    UP NEXT
  • Playable
    2. 
    How the Serverless Compute Model Works
    8m 8s
  • Locked
    3. 
    AWS Lambda Serverless Compute Service Features
    6m 13s
  • Locked
    4. 
    AWS Lambda Function Management and Configuration
    4m 59s
  • Locked
    5. 
    Lambda Function Versions and Aliases
    5m 43s
  • Locked
    6. 
    Lambda Function Invocation Methods
    6m 9s
  • Locked
    7. 
    Features and Components of AWS Lambda Applications
    5m 53s
  • Locked
    8. 
    AWS Lambda Runtime and Container Capability
    7m 22s
  • Locked
    9. 
    AWS Lambda API, Service, and Resource Permissions
    5m 29s
  • Locked
    10. 
    Creating a Simple Lambda Function
    5m 47s
  • Locked
    11. 
    Using Mobile SDK with AWS Lambda
    8m 48s
  • Locked
    12. 
    Creating an AWS Lambda Application
    13m 39s
  • Locked
    13. 
    Using Custom Runtimes to Create AWS Lambda Functions
    6m 7s
  • Locked
    14. 
    Course Summary
    1m

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