VOOZH about

URL: https://www.coursera.org/learn/aws-iot-machine-learning-and-blockchain

⇱ AWS: IoT, Machine Learning and Blockchain | Coursera

AWS: IoT, Machine Learning and Blockchain

Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.

AWS: IoT, Machine Learning and Blockchain

Included with

Ask Coursera

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • 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.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments

Taught in English

Build your subject-matter expertise

This course is part of the Exam Prep (SAP-C02): AWS Solutions Architect - Professional Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 2 modules in this course

AWS: IoT, Machine Learning, and Blockchain is the second course of Exam Prep (SAP-C02): AWS Certified Solutions Architect - Professional Specialization. This course explores key AWS services for building intelligent and connected applications. Learners will gain insights into AWS IoT Core, AWS IoT Events, and IoT Greengrass. The course also covers AI services like Amazon Polly, Translate, Comprehend, Rekognition, Kendra, Personalize, and SageMaker. Additionally, it introduces Managed Blockchain and remote workspace solutions with WorkSpaces and WorkSpaces Web.

This course facilitates learners with approximately 3:00-3:30 Hours of Video lectures that provide both Theory and Hands-On knowledge. Also, Graded and Ungraded Quizzes are provided with every module to test learners' ability. - Module 1: IoT and Blockchain in AWS - Module 2: Machine Learning in AWS This course is designed for professionals seeking to master specialized AWS services beyond core infrastructure. It is ideal for developers, data scientists, architects, and engineers focused on leveraging Artificial Intelligence, Machine Learning, Internet of Things, Blockchain, and End User Computing solutions. - Senior Solutions Architects - Enterprise Architects - Cloud Infrastructure Architects - Senior DevOps Engineers By the end of the course, learners will be able to: - Understand IoT services like AWS IoT Core, IoT Events, and IoT Greengrass. - Extract data from documents and recognize images using Amazon Textract and Rekognition. - Discover use cases for Amazon Managed Blockchain and compare virtual desktop solutions with Amazon WorkSpaces vs WorkSpaces Web.

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.

What's included

6 videos2 readings2 assignments1 discussion prompt

6 videos•Total 59 minutes
  • AWS IoT Core•11 minutes
  • AWS IoT Core - Demo•15 minutes
  • AWS IoT Events•11 minutes
  • AWS IoT Greengrass•10 minutes
  • Amazon Managed Blockchain•6 minutes
  • Amazon WorkSpaces vs Amazon WorkSpaces Web•6 minutes
2 readings•Total 30 minutes
  • Welcome to the Course•20 minutes
  • Overview of IoT and Blockchain in AWS•10 minutes
2 assignments•Total 40 minutes
  • IoT and Blockchain in AWS - Assessment•20 minutes
  • IoT and Blockchain Services - Knowledge Check•20 minutes
1 discussion prompt•Total 10 minutes
  • Meet and Greet•10 minutes

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.

What's included

11 videos2 readings2 assignments

11 videos•Total 79 minutes
  • Amazon Polly•5 minutes
  • Amazon Translate•7 minutes
  • Amazon Comprehend•11 minutes
  • Amazon Rekognition•12 minutes
  • Amazon Kendra•5 minutes
  • Amazon Personalize•4 minutes
  • Amazon Sagemaker•4 minutes
  • Amazon Sagemaker - Demo•11 minutes
  • Amazon Transcribe•3 minutes
  • Amazon Lex•9 minutes
  • Amazon Textract•9 minutes
2 readings•Total 20 minutes
  • Overview of Machine Learning in AWS•10 minutes
  • Course Conclusion•10 minutes
2 assignments•Total 40 minutes
  • Machine Learning in AWS - Assessment•20 minutes
  • Machine Learning services in AWS - Knowledge Check•20 minutes

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Whizlabs
166 Courses•125,579 learners

Explore more from Software Development

Why people choose Coursera for their career

👁 Image

Felipe M.

Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
👁 Image

Jennifer J.

Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
👁 Image

Larry W.

Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
👁 Image

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,