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Quick Facts

Medium Of InstructionsMode Of LearningMode Of Delivery
EnglishSelf StudyVideo and Text Based

Course Overview

The Applications of TinyML Online Course is an open online course that discusses the applications of TinyML language and its practical applications with regard to tiny or deeply embedded devices. The course is available on the HarvardX platform with the joint effort of edX and Harvard University.

The Applications of TinyML Training Course is taught over a period of 6 weeks with the help of online course materials and informative case studies. The practical-oriented course will provide students with valuable insights into one of the most accessible and fastest-growing areas of deep learning.

The Applications of TinyML Certification Syllabus is prepared in a way its beneficial for students trying to gain a professional certificate in machine learning. The course is instructed by Vijay Janapa Reddi, Professor at Harvard University, and Laurence Moroney, Lead AI Advocate at Google. EdX gives two varied modes to take the self-paced course; verified and audit mode. The verified mode requires a course fee and the candidates will get unlimited access. In the audit mode, they can access it for a limited duration. 

The Highlights

  • Shareable certificate upon completion
  • Self-paced course 
  • 6 weeks duration
  • 2 to 4 hours weekly study
  • English medium
  • Online course materials
  • Real-world case studies
  • Graded assignments and exams
  • Knowledge of TinyML

Programme Offerings

  • Shareable Certificate upon completion
  • Self-paced Course
  • 6 Weeks Duration
  • 2 to 4 Hours Weekly Study
  • English medium
  • Online Course Materials
  • real-world case studies
  • Graded Assignments and Exams

Courses and Certificate Fees

Fees InformationsCertificate AvailabilityCertificate Providing Authority
INR 20734yesHarvard University, Cambridge

The course comes in two variants - free and paid versions. Students who choose the free version will get limited access to study materials whereas those who choose the paid version will get unlimited access. To attend the assignments, and exams and to obtain the certificate, students should choose the paid option. The course fee is Rs. 20,734 only.

Applications of TinyML Course Fee Structure

Course

Amount in INR

Applications of TinyML

Rs.20,734/-


What you will learn

Machine learningData science knowledgeKnowledge of Artificial IntelligenceKnowledge of deep learning

After learning the Applications of TinyML Course, you will gain knowledge about the following topics:

  • The code behind some of the most widely used applications of TinyML
  • Real-word industry applications of TinyML
  • Principles of Keyword Spotting
  • Principles of Visual Wake Words
  • Concept of Anomaly Detection
  • Principles of Dataset Engineering
  • Responsible AI Development

Admission Details

Follow the given steps to enroll in the Applications of TinyML Online Course:

Step 1: Click on the URL given below -

https://www.edx.org/course/applications-of-tinyml

Step 2: Click on the enroll option in the course description.

Step 3: When the tap opens, enter your name, email id and password and create a new account.

Step 4: Once your account is created you can choose the course name and enroll.

The Syllabus

Instructors

Harvard University, Cambridge Frequently Asked Questions (FAQ's)

1: Is the course suitable for beginners?

No, this is an intermediate course that requires knowledge in the Fundamentals of TinyML course or other relevant experience.

2: How many hours should I spend on the Applications of TinyML Course per week?

Students are required to contribute 2 to 4 hours per week to the course.

3: Do I get a certificate after completion?

Yes, students who take part in the paid course will receive a certificate upon completion.

4: What is the total duration of the Applications of TinyML Training Course in weeks?

The course is scheduled for a duration of 6 weeks.

5: Will I get any placement opportunities through the course?

No, the Applications of TinyML Online Course does not offer placement help to students.

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