Introduction to AWS Machine Learning for IoT

Introduction to AWS Machine Learning for IoT, available at $54.99, has an average rating of 4.75, with 27 lectures, based on 12 reviews, and has 60 subscribers.

You will learn about 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. This course is ideal for individuals who are An engineer who wants to explore the machine learning services on Amazon Cloud or IoT enthusiasts who wish to integrate machine learning services with IoT devices or Electronics hobbyists who look forward to exploring the world of data science and the Internet of Things or A student who wants to build end to end IoT solutions using AWS machine learning services or Anyone with basic programming experience and an interest in learning It is particularly useful for An engineer who wants to explore the machine learning services on Amazon Cloud or IoT enthusiasts who wish to integrate machine learning services with IoT devices or Electronics hobbyists who look forward to exploring the world of data science and the Internet of Things or A student who wants to build end to end IoT solutions using AWS machine learning services or Anyone with basic programming experience and an interest in learning.

Enroll now: Introduction to AWS Machine Learning for IoT

Summary

Title: Introduction to AWS Machine Learning for IoT

Price: $54.99

Average Rating: 4.75

Number of Lectures: 27

Number of Published Lectures: 27

Number of Curriculum Items: 31

Number of Published Curriculum Objects: 31

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will 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 Should Attend

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

Target Audiences

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

Hello learners!

Welcome to MAKERDEMY’s “Introduction to AWS Machine Learning for IoT” 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 teamwho 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!

Course Curriculum

Chapter 1: Introduction to AWS Machine Learning

Lecture 1: Introduction to the course

Lecture 2: Machine learning overview

Lecture 3: AWS machine learning services

Lecture 4: AWS machine learning for IoT

Lecture 5: Sign Up for AWS

Lecture 6: Budgeting on AWS

Chapter 2: AWS speech services

Lecture 1: An overview of Amazon Polly service

Lecture 2: Get started with Amazon Polly

Lecture 3: Demonstration of Amazon Polly with Raspberry Pi 4

Lecture 4: An overview of Amazon Transcribe

Lecture 5: Get started with Amazon Transcribe

Lecture 6: Demonstration of Amazon Transcribe with Raspberry Pi 4

Chapter 3: An Overview of Amazon Rekognition

Lecture 1: Introduction to Amazon Rekognition

Lecture 2: Types of analysis and operations in Amazon Rekognition

Lecture 3: Get started with Amazon Rekognition

Lecture 4: Demonstration of Amazon Rekognition with Raspberry Pi 4 Part : 1

Lecture 5: Demonstration of Amazon Rekognition with Raspberry Pi 4 Part : 2

Lecture 6: Project : Proximity human interactor. Part: 1

Lecture 7: Project : Proximity human interactor. Part: 2

Lecture 8: Project : Proximity human interactor. Part: 3

Chapter 4: An overview of Amazon SageMaker

Lecture 1: Introduction to Amazon SageMaker

Lecture 2: Amazon SageMaker training options

Lecture 3: Amazon SageMaker Walk-through

Lecture 4: Amazon SageMaker Demonstration

Lecture 5: Amazon SageMaker edge manager

Lecture 6: Amazon SageMaker edge manager workflow

Lecture 7: Course Conclusion

Instructors

Venkatesh Varadachari
Founder, MAKERDEMY
Nidhi Agarwal
Instructor at Makerdemy

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4 stars: 4 votes
5 stars: 8 votes

Frequently Asked Questions

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