AWS Developer Associate 2021: Serverless Compute Services
Amazon Web Services
| Intermediate
- 14 videos | 1h 27m 40s
- Includes Assessment
- Earns a Badge
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
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Discover the key concepts covered in this courseDetail how the serverless compute model worksName the features of the aws lambda compute serviceOutline how to manage and configure aws lambda functionsDescribe the concepts of versions and aliases using aws lambda functions and advanced configuration settings, such as memory and the virtual private cloudOutline methods for invoking lambda functions, maintaining state, and using extensionsList the features and components of an aws lambda application, such as lambda functions, event sources, and other resources
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Identify how lambda supports multiple languages by allowing for the use of runtimes and containersRecognize how aws identity and access management (iam) can be used to access the lambda api and resources as well as aws services and resourcesCreate a simple lambda function using the consoleCreate a simple html application that uses amazon cognito to get credentials and invoke a lambda functionCreate an application using the lambda console that is integrated with a continuous delivery pipelineCreate an aws lambda function using a custom runtimeSummarize the key concepts covered in this course
IN THIS COURSE
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2m 22s
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8m 8sLearn how the serverless compute model works. FREE ACCESS
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6m 13sIn this video, you will learn how to name the features of the AWS Lambda compute service. FREE ACCESS
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4m 59sDuring this video, you will discover how to outline how to manage and configure AWS Lambda functions. FREE ACCESS
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5m 43sIn this video, you will learn how to describe the concepts of versions and aliases using AWS Lambda functions and advanced configuration settings, such as memory and the virtual private cloud. FREE ACCESS
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6m 9sDiscover how to outline methods for invoking Lambda functions, maintaining state, and using extensions. FREE ACCESS
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5m 53sIn this video, you will list the features and components of an AWS Lambda application, such as Lambda functions, event sources, and other resources. FREE ACCESS
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7m 22sAfter completing this video, you will be able to identify how Lambda supports multiple languages by allowing for the use of runtimes and containers. FREE ACCESS
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5m 29sIn this video, find out how to 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. FREE ACCESS
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5m 47sUpon completion of this video, you will be able to create a simple Lambda function using the console. FREE ACCESS
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8m 48sDuring this video, you will learn how to create a simple HTML application that uses Amazon Cognito to get credentials and invoke a Lambda function. FREE ACCESS
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13m 39sFind out how to create an application using the Lambda console that is integrated with a continuous delivery pipeline. FREE ACCESS
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6m 7sLearn how to create an AWS Lambda function using a custom runtime. FREE ACCESS
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1mIn this video, we will summarize the key concepts covered in this course. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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