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AWS: IoT, Machine Learning and Blockchain
Whizlabs

AWS: IoT, Machine Learning and Blockchain

包含在 Coursera Plus

深入了解一个主题并学习基础知识。
中级 等级

推荐体验

4 小时 完成
灵活的计划
自行安排学习进度
深入了解一个主题并学习基础知识。
中级 等级

推荐体验

4 小时 完成
灵活的计划
自行安排学习进度

您将学到什么

  • Learn AWS IoT Core, IoT Events, and IoT Greengrass to enable secure device connectivity, data processing, and edge computing.

  • Gain insights into the use of Amazon SageMaker, Personalize, and Kendra for building, training, and deploying intelligent applications.

  • Discover use cases for Amazon Managed Blockchain and compare virtual desktop solutions with Amazon WorkSpaces vs WorkSpaces Web.

要了解的详细信息

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最近已更新!

May 2025

作业

4 项作业

授课语言:英语(English)

了解顶级公司的员工如何掌握热门技能

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

本课程是 Exam Prep (SAP-C02): AWS Solutions Architect - Professional 专项课程 专项课程的一部分
在注册此课程时,您还会同时注册此专项课程。
  • 向行业专家学习新概念
  • 获得对主题或工具的基础理解
  • 通过实践项目培养工作相关技能
  • 获得可共享的职业证书

该课程共有2个模块

Welcome to Week 1 of the AWS: IoT, Machine Learning, and Blockchain course. This week, we'll explore the world of connected devices with AWS IoT Core, including hands-on demos for practical understanding. We'll dive into AWS IoT Events for event-driven automation and AWS IoT Greengrass for local edge computing. Expanding into decentralized technology, we'll introduce Amazon Managed Blockchain to understand secure, scalable blockchain networks. To complete the week, we'll compare Amazon WorkSpaces and WorkSpaces Web, helping you grasp solutions for secure, remote desktop access. By the end of the week, you'll have foundational skills in IoT, blockchain, and virtual workspace solutions, setting the stage for advanced cloud applications.

涵盖的内容

6个视频2篇阅读材料2个作业1个讨论话题

Welcome to Week 2. This week, we'll explore powerful AI and ML services from AWS. You'll learn how Amazon Polly converts text into lifelike speech, and how Amazon Translate breaks language barriers with real-time translation. We'll uncover text insights using Amazon Comprehend and dive into image and video analysis with Amazon Rekognition. You'll also get introduced to smart search solutions with Amazon Kendra and personalized recommendations with Amazon Personalize. Through Amazon SageMaker and a hands-on demo, we'll explore building and deploying ML models. Additionally, we'll cover Amazon Transcribe for speech-to-text, Amazon Lex for chatbots, and Amazon Textract for document processing.

涵盖的内容

11个视频2篇阅读材料2个作业

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