Udemy

Diploma in Amazon Web Services (AWS)

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  • 39,863 名學生
  • 更新於 1/2022
  • 可獲發證書
4.2
(248 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
1 小時 59 分鐘
教學語言
英語
授課導師
Global Education Foundation
證書
  • 可獲發
  • *證書的發放與分配,依課程提供者的政策及安排而定。
評分
4.2
(248 個評分)
10次瀏覽

課程簡介

Diploma in Amazon Web Services (AWS)

Best suitable for AWS engineers

AWS Platforms and Services Overview

1. Compute Services

  • EC2 (Elastic Compute Cloud): Virtual machines with OS-level control; scalable cloud servers.

  • Light Sail: Simplified cloud hosting with automatic deployment of compute, storage, and networking.

  • Elastic Beanstalk: Automated deployment & provisioning for scalable applications.

  • EKS (Elastic Kubernetes Service): Managed Kubernetes clusters on AWS.

  • AWS Lambda: Serverless compute; pay only for function execution time.

2. Migration Services

  • DMS (Database Migration Service): Migrate databases (e.g., Oracle to MySQL) to AWS.

  • SMS (Server Migration Service): Migrate on-premises servers to AWS.

  • Snowball: Physical device for large data transfer to/from AWS.

3. Storage Services

  • Amazon Glacier: Low-cost archival and backup storage.

  • Amazon EBS (Elastic Block Store): Block-level storage for EC2 instances.

  • AWS Storage Gateway: Connects on-premises apps with cloud storage.

4. Security Services

  • IAM (Identity and Access Management): User and permissions management.

  • Inspector: Security vulnerability assessments on virtual machines.

  • Certificate Manager: Free SSL certificates for domains.

  • WAF (Web Application Firewall): Protects web apps from attacks like SQL injection.

  • Cloud Directory: Create cloud-native hierarchical data directories.

  • KMS (Key Management Service): Manage encryption keys securely.

  • Organizations: Manage multiple AWS accounts centrally.

  • Shield: Managed DDoS protection.

  • Macie: Data visibility and sensitive content classification.

  • GuardDuty: Threat detection service.

5. Database Services

  • Amazon RDS: Managed relational databases.

  • Amazon DynamoDB: Fully managed NoSQL database.

  • Amazon ElastiCache: In-memory caching service.

  • Neptune: Managed graph database service.

  • Amazon RedShift: Data warehousing for complex analytics.

6. Analytics Services

  • Athena: Run SQL queries directly on S3 data.

  • CloudSearch: Managed search engine for websites.

  • ElasticSearch: Search and analytics engine with extended features.

  • Kinesis: Real-time streaming data analytics.

  • QuickSight: Business intelligence and visualization tool.

  • EMR (Elastic MapReduce): Big data processing with Hadoop, Spark, etc.

  • Data Pipeline: Data movement and transformation.

7. Management Services

  • CloudWatch: Monitor AWS resources and custom metrics.

  • CloudFormation: Infrastructure as code using templates.

  • CloudTrail: Logs and audits AWS API activity.

  • OpsWorks: Automated Chef/Puppet deployments.

  • Config: Monitors compliance and configuration changes.

  • Service Catalog: Manage approved AWS services usage.

  • Auto Scaling: Automatically scale resources based on demand.

  • Systems Manager: Centralized resource grouping and issue remediation.

8. Internet of Things (IoT)

  • IoT Core: Connect and manage IoT devices securely.

  • IoT Device Management: Large-scale device management.

  • IoT Analytics: Analyze IoT device data.

  • Amazon FreeRTOS: Real-time OS for microcontrollers connecting IoT devices.

9. Application Services

  • Step Functions: Visualize and coordinate microservices workflows.

  • SWF (Simple Workflow Service): Manage automated & human workflows.

  • SNS (Simple Notification Service): Send email/SMS notifications.

  • SQS (Simple Queue Service): Decouple apps with messaging queues.

  • Elastic Transcoder: Convert videos for multiple devices.

10. Deployment and Management

  • AWS CloudTrail: Track API calls and changes.

  • Amazon CloudWatch: Monitor resource and app health.

  • AWS CloudHSM: Hardware security modules for compliance.

11. Developer Tools

  • CodeStar: Project management for software development.

  • CodeCommit: Private Git repositories.

  • CodeBuild: Automated code compilation.

  • CodeDeploy: Automated code deployment to EC2.

  • CodePipeline: Continuous integration and delivery pipelines.

  • Cloud9: Cloud-based IDE for coding and debugging.

12. Mobile Services

  • Mobile Hub: Configure mobile app features.

  • Cognito: User sign-up and authentication with social identities.

  • Device Farm: Test apps on real devices.

  • AWS AppSync: Managed GraphQL API service with real-time sync.

13. Business Productivity

  • Alexa for Business: Voice-controlled organization tools.

  • Chime: Online meetings and video conferencing.

  • WorkDocs: Cloud document storage.

  • WorkMail: Business email service.

14. Desktop & App Streaming

  • WorkSpaces: Virtual desktops in the cloud.

  • AppStream: Stream desktop applications to browsers.

15. Artificial Intelligence

  • Lex: Build chatbots.

  • Polly: Text-to-speech service.

  • Rekognition: Image and video facial/object recognition.

  • SageMaker: Build, train, and deploy ML models.

  • Transcribe: Speech-to-text transcription.

  • Translate: Language translation service.

16. Augmented Reality & Virtual Reality

  • Sumerian: Build and publish interactive 3D/VR scenes on the web.

17. Customer Engagement

  • Amazon Connect: Cloud-based contact center.

  • Pinpoint: User engagement and analytics.

  • SES (Simple Email Service): Bulk email sending.

18. Game Development

  • GameLift: Host scalable game servers.

Common Applications of AWS Services

  • Website hosting

  • SaaS and application hosting

  • Media sharing (images/videos)

  • Mobile and social apps

  • Content delivery and media distribution

  • Storage, backup, and disaster recovery

  • Development and testing environments

  • Academic computing

  • Search engines

  • Social networking

課程章節

  • 17 個章節
  • 25 堂課
  • 第 1 章 First Web Applications
  • 第 2 章 Cloud Security Fundamentals
  • 第 3 章 Mobile and Web Applications
  • 第 4 章 DevOps on AWS
  • 第 5 章 Remote Work and Learning
  • 第 6 章 Data Backup and Recovery
  • 第 7 章 Personalize costomer engagement exp
  • 第 8 章 Build Databases
  • 第 9 章 Building Artificial Intelligence
  • 第 10 章 Intelligent document processing
  • 第 11 章 Create smarter bots with intelligent search
  • 第 12 章 Using AI to streamline media content operations
  • 第 13 章 Build a self service to know your customer application
  • 第 14 章 Build an AI-enabled workflow
  • 第 15 章 Build an intelligent marketing
  • 第 16 章 Identity verification
  • 第 17 章 Notes

課程內容

  • How to use AWS platform
  • Live applications of AWS
  • Artificial Intelligence
  • AWS DEMOS


評價

  • R
    Rodolfo Ulyses Vázquez Cárdenas
    5.0

    Buena elección

  • S
    Simon Ofori-Amankwah
    4.5

    It is great. The tutor is a quite fast. But in all, I am learning

  • P
    Paolo Lizarazu
    2.5

    I am lost, in chapter 5 they are bringing from something to another so fast and are not explaining which service we are going to use or the purpose of that service.

  • H
    Hernan Ricardo Peralta Sanchez
    5.0

    Muy bueno

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