跳至主內容
兼讀制

Developing on AWS

 Developing on AWS

即將開課期數

1

開課日期
2022-10-05 (Wed)
上課日期

2022-10-05 (Wed)

2022-10-06 (Thu)

2022-10-07 (Fri)

價錢
HK$12,600.00
上課地點
🇭🇰 荃灣

本課程將協助您了解如何使用 AWS 服務和開發人員工具 (如 AWS SDK 和 AWS CLI),在 AWS 專家講師的指導下開發安全且可擴展的雲端應用程式。您將探討如何利用程式碼與 AWS 互動,並討論關鍵概念、最佳實務和故障診斷秘訣。在這個為期 3 天的課堂培訓課程中,您將學習如何以程式設計方式與 AWS 服務互動,以建置 Web 解決方案。

您將學習的內容

  • 使用 AWS 軟體開發套件 (AWS SDK)、Command Line Interface (AWS CLI) 和 IDE 建置簡單的端對端雲端應用程式
  • 設定 AWS Identity and Access Management (IAM) 許可來支援開發環境
  • 在您的應用程式中使用多種程式設計模式來存取 AWS 服務
  • 使用 AWS SDK 對 Amazon Simple Storage Service (Amazon S3) 和 Amazon DynamoDB 資源執行 CRUD (建立、讀取、更新、刪除) 操作
  • 以及更多服務

本課程適用對象

  • Tecky 微學位畢業生
  • 軟體開發人員
  • 解決方案架構師
  • 想要使用 AWS 服務提高開發技能的 IT 專業人員

課程大綱

Day 1

Module 1: Course Overview

  • Logistics
  • Student resources
  • Agenda
  • Introductions

Module 2: Building a Web Application on AWS

  • 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

Module 3: Getting Started with Development on AWS

  • 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

Module 4: Getting Started with Permissions

  • 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

Module 5: Getting Started with Storage

  • 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

Module 6: Processing Your Storage Operations

  • 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.

Day 2

Module 7: Getting Started with Databases

  • 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

Module 8: Processing Your Database Operations

  • 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

Module 9: Processing Your Application Logic

  • 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

Module 10: Managing the APIs

  • 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

Day 3

Module 11: Building a Modern Application

  • 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

Module 12: Granting Access to Your Application Users

  • 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

Module 13: Deploying Your Application

  • 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

Module 14: Observing Your Application

  • 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 yourapplication
  • Analyze and debug application issues using AWS X-Ray traces and annotations

Module 15: Course Wrap-up

  • Course overview
  • AWS training courses
  • Certifications
  • Course feedback

導師團隊

  • 下期開課日期 2022-10-05
  • 上課時間 9:30am - 5:30pm
  • 修業期 3 日
  • 課堂人數 15
  • 上課場地 荃灣
 Developing on AWS
索取課程大綱
提交後, 請檢查你的電郵
hello@tecky.iot.me/TeckyAcademy
+852 9725 6400+44 07570 549084+1 (647) 556-3084
商界展關懷 2019-2022
英國頒證機構 TQUK 認可中心
aws_partner
薯片叔叔共創社 重塑教育挑戰大獎
© 2022 Tecky Academy Limited