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Developing Serverless Solutions on AWS

Cost
$2025 USD
Course Code
AWS-DSS
Duration
3 Days
Format
Live Virtual Class

Course Schedule

Developing Serverless Solutions on AWS

$2,025.00

Scheduled, 20-Jul-2022 - 22-Jul-2022, 09:00 AM - 05:00 PM US Eastern
Scheduled, 23-Aug-2022 - 25-Aug-2022, 09:00 AM - 05:00 PM US Eastern
Scheduled, 21-Sep-2022 - 23-Sep-2022, 09:00 AM - 05:00 PM US Pacific
Scheduled, 19-Oct-2022 - 21-Oct-2022, 09:00 AM - 05:00 PM US Eastern
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Developing Serverless Solutions on AWS – Scheduled, 20-Jul-2022 - 22-Jul-2022, 09:00 AM - 05:00 PM US Eastern
$2,025.00
Developing Serverless Solutions on AWS – Scheduled, 23-Aug-2022 - 25-Aug-2022, 09:00 AM - 05:00 PM US Eastern
$2,025.00
Developing Serverless Solutions on AWS – Scheduled, 21-Sep-2022 - 23-Sep-2022, 09:00 AM - 05:00 PM US Pacific
$2,025.00
Developing Serverless Solutions on AWS – Scheduled, 19-Oct-2022 - 21-Oct-2022, 09:00 AM - 05:00 PM US Eastern
$2,025.00
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SKU: AWS-DSS Categories: , ,

Overview

This course gives developers exposure to and practice with best practices for building serverless applications using AWS Lambda and other services in the AWS serverless platform. You will use AWS frameworks to deploy a serverless application in hands-on labs that progress from simpler to more complex topics. You will use AWS documentation throughout the course to develop authentic methods for learning and problem-solving beyond the classroom.

Audience

  • Developers who have some familiarity with serverless and experience with development in the AWS Cloud

Suggested Prerequisites

  • Working knowledge of core AWS services and public cloud implementation
  • Knowledge equivalent to completing the following serverless digital trainings:  AWS Lambda Foundations and Amazon API Gateway for Serverless Applications
  • Attended one of Architecting on AWS or Developing on AWS

Topics

  • Introduction to the application we will build
  • Access to course resources (Student Guide, Lab Guide, and Online Course Supplement)
  • Thinking Serverless
  • API-Driven Development and Synchronous Event Sources
  • Introduction to Authentication, Authorization, and Access Control
  • Serverless Deployment Frameworks
  • Using Amazon EventBridge and Amazon SNS to Decouple Components
  • Event-Driven Development Using Queues and Streams
  • Writing Good Lambda Functions
  • Step Functions for Orchestration
  • Observability and Monitoring
  • Serverless Application Security
  • Handling Scale in Serverless Applications
  • Automating the Deployment Pipeline

Overview

This course gives developers exposure to and practice with best practices for building serverless applications using AWS Lambda and other services in the AWS serverless platform. You will use AWS frameworks to deploy a serverless application in hands-on labs that progress from simpler to more complex topics. You will use AWS documentation throughout the course to develop authentic methods for learning and problem-solving beyond the classroom.

Audience

  • Developers who have some familiarity with serverless and experience with development in the AWS Cloud

Suggested Prerequisites

  • Working knowledge of core AWS services and public cloud implementation
  • Knowledge equivalent to completing the following serverless digital trainings:  AWS Lambda Foundations and Amazon API Gateway for Serverless Applications
  • Attended one of Architecting on AWS or Developing on AWS

Topics

  • Introduction to the application we will build
  • Access to course resources (Student Guide, Lab Guide, and Online Course Supplement)
  • Thinking Serverless
  • API-Driven Development and Synchronous Event Sources
  • Introduction to Authentication, Authorization, and Access Control
  • Serverless Deployment Frameworks
  • Using Amazon EventBridge and Amazon SNS to Decouple Components
  • Event-Driven Development Using Queues and Streams
  • Writing Good Lambda Functions
  • Step Functions for Orchestration
  • Observability and Monitoring
  • Serverless Application Security
  • Handling Scale in Serverless Applications
  • Automating the Deployment Pipeline
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