Fundamentals of TinyML, Harvard Online Course

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Learn basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the language? Fundamentals of TinyML.

Last updated on December 3, 2021 1:27 am

Introduction

The fundamentals of the TinyML course focuses on the essentials of machine learning and also embedded systems, such as smart devices, this course will present you to the language? of TinyML.

About this course

What do you know about TinyML? Tiny Machine Learning (TinyML) is one of the fastest-growing field of Deep Learning and also has quickly become much more easily accessible. This course offers a structure for you to recognize this emerging area.

TinyML goes through the crossway of embedded Machine Learning (ML) applications, algorithms, equipment/hardware, and also software program. TinyML varies from mainstream artificial intelligence (e.g., web server and also cloud) because it requires not just software program proficiency, but additionally embedded hardware proficiency.

The initially-course in the TinyML Certificate collection, Fundamentals of TinyML will certainly concentrate on the essentials of artificial intelligence, machine learning, deep learning, and also embedded gadgets and also systems, such as smart devices and also various other tiny gadgets. Throughout the course, you will certainly find out information scientific research strategies for accumulating information and also establish an understanding of knowing algorithms to educate fundamental machine learning models. At the completion of this course, you will have the ability to recognize the language? behind TinyML and also prepare to study the application of TinyML in future programs.

Following Fundamentals of TinyML, the various other programs in the TinyML Professional Certificate program will certainly permit you to see the code behind widely-used Tiny ML applications such as little gadgets, smart devices as well as deploy code to your very own physical TinyML gadget. Fundamentals of TinyML give an intro to TinyML and also are not a requirement for Applications of TinyML or Deploying TinyML for those with adequate artificial intelligence, machine learning and also embedded systems experience.

What you will learn from Fundamentals of TinyML?

  • Fundamentals of Machine Learning (ML)
  • Fundamentals of Deep Learning
  • How to collect information for ML
  • How to educate and also release ML versions
  • Understanding ingrained ML
  • Responsible AI Design

Prerequisites

  • Basic Scripting in Python

Syllabus

Chapter-1. Welcome to TinyML

Chapter-1.1. Course Overview

Chapter-1.2. The Future of ML is Tiny and also Bright

Chapter-1.3. TinyML Challenges

Chapter-1.4. Getting Started

Chapter-2. Introduction to (Tiny) ML

Chapter-2.1. The Machine Learning Paradigm

Chapter-2.2. The Building Blocks of Deep Learning

Chapter-2.3. Exploring Machine Learning Scenarios

Chapter-2.4. Building a Computer Vision Model

Chapter-2.5. Responsible AI Design

Chapter-2.6. Summary

Learn more on TinyML:

Note: Your review matters  

If you have already done this course, kindly drop your review in our reviews section. It would help others to get useful information and better insight into the course offered.

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$199.00

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  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Python
  • Basic Scripting in Python
  • Artificial intelligence Data Science Data Science with 'Python' Deep learning Machine learning TinyML
PROS: Focused on the basics of ML, DL and embedded devices and systems, such as smartphones and other tiny devices. Provides a foundation for you to understand this emerging field. Throughout the course, you will learn data science techniques.

Description

Introduction

The fundamentals of the TinyML course focuses on the essentials of machine learning and also embedded systems, such as smart devices, this course will present you to the language? of TinyML.

About this course

What do you know about TinyML? Tiny Machine Learning (TinyML) is one of the fastest-growing field of Deep Learning and also has quickly become much more easily accessible. This course offers a structure for you to recognize this emerging area.

TinyML goes through the crossway of embedded Machine Learning (ML) applications, algorithms, equipment/hardware, and also software program. TinyML varies from mainstream artificial intelligence (e.g., web server and also cloud) because it requires not just software program proficiency, but additionally embedded hardware proficiency.

The initially-course in the TinyML Certificate collection, Fundamentals of TinyML will certainly concentrate on the essentials of artificial intelligence, machine learning, deep learning, and also embedded gadgets and also systems, such as smart devices and also various other tiny gadgets. Throughout the course, you will certainly find out information scientific research strategies for accumulating information and also establish an understanding of knowing algorithms to educate fundamental machine learning models. At the completion of this course, you will have the ability to recognize the language? behind TinyML and also prepare to study the application of TinyML in future programs.

Following Fundamentals of TinyML, the various other programs in the TinyML Professional Certificate program will certainly permit you to see the code behind widely-used Tiny ML applications such as little gadgets, smart devices as well as deploy code to your very own physical TinyML gadget. Fundamentals of TinyML give an intro to TinyML and also are not a requirement for Applications of TinyML or Deploying TinyML for those with adequate artificial intelligence, machine learning and also embedded systems experience.

What you will learn from Fundamentals of TinyML?

  • Fundamentals of Machine Learning (ML)
  • Fundamentals of Deep Learning
  • How to collect information for ML
  • How to educate and also release ML versions
  • Understanding ingrained ML
  • Responsible AI Design

Prerequisites

  • Basic Scripting in Python

Syllabus

Chapter-1. Welcome to TinyML

Chapter-1.1. Course Overview

Chapter-1.2. The Future of ML is Tiny and also Bright

Chapter-1.3. TinyML Challenges

Chapter-1.4. Getting Started

Chapter-2. Introduction to (Tiny) ML

Chapter-2.1. The Machine Learning Paradigm

Chapter-2.2. The Building Blocks of Deep Learning

Chapter-2.3. Exploring Machine Learning Scenarios

Chapter-2.4. Building a Computer Vision Model

Chapter-2.5. Responsible AI Design

Chapter-2.6. Summary

Learn more on TinyML:

Note: Your review matters  

If you have already done this course, kindly drop your review in our reviews section. It would help others to get useful information and better insight into the course offered.

Specification:

  • EDX
  • Harvard University
  • Online Course
  • Self-paced
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Python
  • Basic Scripting in Python
  • Artificial intelligence Data Science Data Science with 'Python' Deep learning Machine learning TinyML

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Fundamentals of TinyML, Harvard Online Course
Fundamentals of TinyML, Harvard Online Course

$199.00

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