Introduction to AWS Machine Learning for IoT

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Venkatesh Varadachari,Nidhi Agarwal

2:33:14

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1. Introduction to AWS Machine Learning

1.1 Bill of Material.pdf

1.2 GitHub Link .html

1. Introduction to the course.mp4

05:44

2. Machine learning overview.mp4

07:53

3.1 AWS Cloud Products .html

3. AWS machine learning services.mp4

05:31

4.1 Machine Learning services on AWS .html

4. AWS machine learning for IoT.mp4

04:06

5.1 AWS free services .html

5.2 AWS SignUp Link .html

5. Sign Up for AWS.mp4

04:06

6. Budgeting on AWS.mp4

07:03

7. Assignment1.html

2. AWS speech services

1.1 Voices in Amazon polly .html

1. An overview of Amazon Polly service.mp4

05:21

2.1 Installing or updating the latest version of the AWS CLI .html

2. Get started with Amazon Polly.mp4

06:36

3.1 2.3.zip

3.2 2.3.zip

3.3 AWS CLI install and update instructions .html

3.4 Install Python3 on Raspberry Pi 4 .html

3.5 Remote access of Raspberry Pi 4 .html

3.6 Update or Upgrade Raspberry Pi 4 .html

3. Demonstration of Amazon Polly with Raspberry Pi 4.mp4

05:34

4.1 Amazon Transcribe pricing model .html

4.2 Supported languages by Amazon Transcribe and language-specific features .html

4. An overview of Amazon Transcribe.mp4

03:40

5. Get started with Amazon Transcribe.mp4

05:02

6.1 2.6.zip

6.2 2.6Code.zip

6.3 commands.zip

6. Demonstration of Amazon Transcribe with Raspberry Pi 4.mp4

08:14

7. Assignment2.html

3. An Overview of Amazon Rekognition

1.1 Amazon Rekognition pricing .html

1. Introduction to Amazon Rekognition.mp4

06:05

2. Types of analysis and operations in Amazon Rekognition.mp4

06:42

3. Get started with Amazon Rekognition.mp4

03:58

4.1 3.4&3.5Code.zip

4. Demonstration of Amazon Rekognition with Raspberry Pi 4 Part 1.mp4

05:57

5.1 3.4&3.5Code.zip

5.2 3.5.zip

5. Demonstration of Amazon Rekognition with Raspberry Pi 4 Part 2.mp4

05:55

6.1 3.6.zip

6. Project Proximity human interactor. Part 1.mp4

05:07

7.1 3.7Code.zip

7. Project Proximity human interactor. Part 2.mp4

06:06

8. Project Proximity human interactor. Part 3.mp4

07:34

9. Assignment3.html

4. An overview of Amazon SageMaker

1. Introduction to Amazon SageMaker.mp4

04:48

2.1 Amazon SageMaker Pricing .html

2.2 AWS Marketplace .html

2. Amazon SageMaker training options.mp4

04:24

3. Amazon SageMaker Walk-through.mp4

06:39

4.1 CelsiustoKelvin.zip

4. Amazon SageMaker Demonstration.mp4

05:54

5. Amazon SageMaker edge manager.mp4

05:11

6. Amazon SageMaker edge manager workflow.mp4

06:18

7. Course Conclusion.mp4

03:46

8. Assignment4.html

Description

Learn the fundamentals of Amazon Machine Learning Services and build an IoT solution with Raspberry Pi 4 from scratch

What You'll Learn?

Get an overview of Amazon Machine Learning
Learn how to start working with Amazon Machine Learning Services
Gain in-depth knowledge related to Amazon Machine Learning and implementation
Develop an end-to-end IoT project using Amazon Machine Learning Services and Raspberry Pi 4
Be confident to design and deploy your own IoT projects using Amazon Machine Learning Services.

Who is this for?

An engineer who wants to explore the machine learning services on Amazon Cloud

IoT enthusiasts who wish to integrate machine learning services with IoT devices

Electronics hobbyists who look forward to exploring the world of data science and the Internet of Things

A student who wants to build end to end IoT solutions using AWS machine learning services

Anyone with basic programming experience and an interest in learning

More details

Description
Hello learners!
Welcome to MAKERDEMY's â€œIntroduction to AWS Machine Learning for IoTâ€ course.
This is a beginner level course that will teach you about Amazon Machine Learning Services. This course will help you learn the basic concepts of Amazon Machine Learning and give you hands-on experience in implementing IoT projects using Amazon Machine Learning Services. This course will teach you to integrate Amazon Machine Learning Services with IoT. Do you wish to explore the world of Amazon Machine learning with IoT? Want to learn how to work with Amazon Machine learning services and implement end-to-end IoT projects using Raspberry Pi 4?
This course is a one stop destination for getting started with Amazon Machine Learning. By the end of the course, you will become very confident with using Amazon Machine Learning services and integrate them with IoT devices to develop an end-to-end IoT solution. You will learn through demonstrations on getting started with Amazon Machine Learning and develop a complete IoT Project with real-time application. If you complete all sections in the course and the course assignments, you are sure to gain in-depth knowledge related to Amazon Machine Learning.
Throughout the course, we have provided a curated collection of original resources. These resources include links to documents for in-depth learning, links, videos, and more. At MAKERDEMY, we have a dedicated instructor team who will promptly answer any of your course-related queries.
So, what are you waiting for?! Come, join me in this course. I look forward to being your instructor for this course and introduce you to the world of AWS Machine Learning for IoT!
Who this course is for:
An engineer who wants to explore the machine learning services on Amazon Cloud
IoT enthusiasts who wish to integrate machine learning services with IoT devices
Electronics hobbyists who look forward to exploring the world of data science and the Internet of Things
A student who wants to build end to end IoT solutions using AWS machine learning services
Anyone with basic programming experience and an interest in learning

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Venkatesh Varadachari is the founder of MAKERDEMY, a pioneer maker education company head-quartered in Singapore. Venkatesh believes that knowledge should be made available to people in all walks of life. Venkatesh also believes in the power of education to transform lives. Venkatesh has an MBA from the prestigious Indian Institute of Management, Bangalore. He also has a degree in Electrical Engineering from Madras University and a Masters in Financial Engineering from National University of Singapore.

Nidhi Agarwal

Instructor's Courses

I am Nidhi, and I am a part of the instructor team at Makerdemy. I am an Electronics and Communication Engineer by education and have more than five years of academic experience. Also, I have experience working with ESP32, Raspberry Pi and Azure Cloud. I am passionate about the Internet of Things and working with connected technology.

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