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AWS-DEV: Developing on AWS Training

4.5
(4.5)

In this technical course, you will discover the leading procedures to interact with AWS with the help of code and talk about critical concepts, troubleshooting tips, and best practices.

  • Category : AWS

Course Price : $1895 Per Participant

Course Description

Developing on AWS Training helps individuals learn to utilize the AWS SDK to build secure and scalable cloud applications.

In this technical course, you will discover the leading procedures to interact with AWS with the help of code and talk about critical concepts, troubleshooting tips, and best practices.

It teaches you how to start with the AWS SDK and developer credentials for Python, Java, C#/.NET, and JavaScript. You will learn to communicate with AWS services and build solutions with the help of AWS SDK.

This course provides in-depth information about using AWS Identity and Access Management for service authentication and using Amazon Simple Storage Service and DynamoDB as data stores.

Master the skills of integrating data and applications by utilizing AWS Lambda, Amazon Simple Queue Service, and AWS Step Functions.

It is a perfect program for app developers who want to add more knowledge to their knowledge base and learn in-demand skills to boost their careers.

Our Enterprise Training program is perfect to upgrade the team for a dedicated task and boost overall performance.

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What you will learn

  • green-tick Build a simple end-to-end cloud application using AWS Software Development Kits (AWS SDKs), Command Line Interface (AWS CLI), and IDEs.
  • green-tick Configure AWS Identity and Access Management (IAM) permissions to support a development environment.
  • green-tick Use multiple programming patterns in your applications to access AWS services.
  • green-tick Use AWS SDKs to perform CRUD (create, read, update, delete) operations on Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB resources.
  • green-tick Build AWS Lambda functions with other service integrations for your web applications.
  • green-tick Understand the benefits of microservices architectures and serverless applications to design
  • green-tick Develop API Gateway components and integrate with other AWS services.
  • green-tick Explain how Amazon Cognito controls user access to AWS resources.
  • green-tick Build a web application using Cognito to provide and control user access.
  • green-tick Use DevOps methodology to reduce the risks associated with traditional application releases and identify AWS services that help in implementing DevOps practices.
  • green-tick Use AWS Serverless Application Model (AWS SAM) to deploy an application.
  • green-tick Observe your application build using Amazon X-Ray.

Prerequisites

  • AWS Cloud Practitioner Essentials classroom or digital training, or working knowledge of distributed systems
  • Familiarity with general networking concepts
  • Familiarity with IP addressing
  • Working knowledge of multi-tier architectures
  • Familiarity with cloud computing concepts

Who should attend this course?

  • Software developers
  • Solution architects
  • IT workers who want to improve their developing skills using AWS Services

Schedules

GTR
  • Mar 20, 2024
  • 9:00 am - 5:00 pm EST
  • online
  • Apr 03, 2024
  • 9:00 am - 5:00 pm EST
  • online
  • Apr 17, 2024
  • 9:00 am - 5:00 pm EST
  • online
GTR
  • May 01, 2024
  • 9:00 am - 5:00 pm EST
  • online
GTR
  • May 15, 2024
  • 9:00 am - 5:00 pm EST
  • online
  • May 29, 2024
  • 9:00 am - 5:00 pm PST
  • online
GTR
  • Jun 12, 2024
  • 9:00 am - 5:00 pm EST
  • online
GTR
  • Jun 25, 2024
  • 9:00 am - 5:00 pm EST
  • online

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Curriculum

  • Logistics
  • Student resources
  • Agenda
  • Introductions
  • Discuss the architecture of the application you are going to build during this course
  • Explore the AWS services needed to build your web application
  • Discover how to store, manage, and host your web application
  • Describe how to access AWS services programmatically
  • List some programmatic patterns and how they provide efficiencies within AWS SDKs and AWS CLI
  • Explain the value of AWS Cloud9
  • Review AWS Identity and Access Management (IAM) features and components permissions to support a development environment
  • Demonstrate how to test AWS IAM permissions
  • Configure your IDEs and SDKs to support a development environment
  • Demonstrate accessing AWS services using SDKs and AWS Cloud9
  • Lab 1: Configure the Developer Environment

  • Connect to a developer environment
  • Verify that the IDE and the AWS CLI are installed and configured to use the application profile
  • Verify that the necessary permissions have been granted to run AWS CLI commands
  • Assign an AWS IAM policy to a role to delete an Amazon S3 bucket
  • Describe the basic concepts of Amazon S3
  • List the options for securing data using Amazon S3
  • Define SDK dependencies for your code
  • Explain how to connect to the Amazon S3 service
  • Describe request and response objects
  • Perform key bucket and object operations
  • Explain how to handle multiple and large objects
  • Create and configure an Amazon S3 bucket to host a static website
  • Grant temporary access to your objects
  • Demonstrate performing Amazon S3 operations using SDKs
  • Lab 2: Develop Solutions Using Amazon S3

  • Interact with Amazon S3 programmatically using AWS SDKs and the AWS CLI
  • Create a bucket using waiters and verify service exceptions codes
  • Build the needed requests to upload an Amazon S3 object with metadata attached
  • Build requests to download an object from the bucket, process data, and upload the object back to the bucket
  • Configure a bucket to host the website and sync the source files using the AWS CLI
  • Add IAM bucket policies to access the S3 website.
  • Describe the key components of DynamoDB
  • Explain how to connect to DynamoDB
  • Describe how to build a request object
  • Explain how to read a response object
  • List the most common troubleshooting exceptions
  • Develop programs to interact with DynamoDB using AWS SDKs
  • Perform CRUD operations to access tables, indexes, and data
  • Describe developer best practices when accessing DynamoDB
  • Review caching options for DynamoDB to improve performance
  • Perform DynamoDB operations using SDK
  • Lab 3: Develop Solutions Using Amazon DynamoDB

  • Interact with Amazon DynamoDB programmatically using low-level, document, and high-level APIs in your programs
  • Retrieve items from a table using key attributes, filters, expressions, and paginations
  • Load a table by reading JSON objects from a file
  • Search items from a table based on key attributes, filters, expressions, and paginations
  • Update items by adding new attributes and changing data conditionally
  • Access DynamoDB data using PartiQL and object-persistence models where applicable
  • Develop a Lambda function using SDKs
  • Configure triggers and permissions for Lambda functions
  • Test, deploy, and monitor Lambda functions
  • Lab 4: Develop Solutions Using AWS Lambda Functions

  • Create AWS Lambda functions and interact programmatically using AWS SDKs and AWS CLI
  • Configure AWS Lambda functions to use the environment variables and to integrate with other services
  • Generate Amazon S3 pre-signed URLs using AWS SDKs and verify the access to bucket objects
  • Deploy the AWS Lambda functions with .zip file archives through your IDE and test as needed
  • Invoke AWS Lambda functions using the AWS Console and AWS CLI
  • Describe the key components of API Gateway
  • Develop API Gateway resources to integrate with AWS services
  • Configure API request and response calls for your application endpoints
  • Test API resources and deploy your application API endpoint
  • Demonstrate creating API Gateway resources to interact with your application APIs
  • Lab 5: Develop Solutions Using Amazon API Gateway

  • Create RESTful API Gateway resources and configure CORS for your application
  • Integrate API methods with AWS Lambda functions to process application data
  • Configure mapping templates to transform the pass-through data during method integration
  • Create a request model for API methods to ensure that the pass-through data format complies with application rules
  • Deploy the API Gateway to a stage and validate the results using the API endpoint
  • Describe the challenges with traditional architectures
  • Describe the microservice architecture and benefits
  • Explain various approaches for designing microservice applications
  • Explain steps involved in decoupling monolithic applications
  • Demonstrate the orchestration of Lambda Functions using AWS Step Functions
  • Analyze the evolution of security protocols
  • Explore the authentication process using Amazon Cognito
  • Manage user access and authorize serverless APIs
  • Observe best practices for implementing Amazon Cognito
  • Demonstrate the integration of Amazon Cognito and review JWT tokens
  • Lab 6: Capstone - Complete the Application Build

  • Create a Userpool and an Application Client for your web application using
  • Add new users and confirm their ability to sign-in using the Amazon Cognito CLI
  • Configure API Gateway methods to use Amazon Cognito as an authorizer
  • Verify JWT authentication tokens are generated during API Gateway calls
  • Develop API Gateway resources rapidly using a Swagger importing strategy
  • Set up your web application frontend to use Amazon Cognito and API Gateway configurations and verify the entire application functionality
  • Identify risks associated with traditional software development practices
  • Understand DevOps methodology
  • Configure an AWS SAM template to deploy a serverless application
  • Describe various application deployment strategies
  • Demonstrate deploying a serverless application using AWS SAM
  • Differentiate between monitoring and observability
  • Evaluate why observability is necessary in modern development and key components
  • Understand CloudWatch's part in configuring the observability
  • Demonstrate using CloudWatch Application Insights to monitor applications
  • Demonstrate using X-Ray to debug your applications
  • Lab 7: Observe the Application Using AWS X-Ray

  • Instrument your application code to use AWS X-Ray capabilities
  • Enable your application deployment package to generate logs
  • Understand the key components of an AWS SAM template and deploy your application
  • Create AWS X-Ray service maps to observe end-to-end processing behavior of your application
  • Analyze and debug application issues using AWS X-Ray traces and annotations
  • Course overview
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  • Course Details

    • skill skill-green
      Skill Level: Intermediate
    • enroll enroll-green
      Enrolled: 1586
    • duration duration green
      Duration: 3 Days

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