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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study, Virtual Classroom	Video and Text Based

Course Overview

The Machine Learning for Engineering and Science Applications certification course offers a duration is 12 weeks which focuses on providing a a broad overview of modern algorithms in ML for engineers. This course covers the key aspects of machine learning such as the basics of ML, Linear Algebra, Numerical Computation, Neural, and Autoencoders.

Students gain hands-on training from industry experts in applying ML algorithms in the engineering field. The Machine Learning for Engineering and Science Applications certification by NPTEL intended audience is postgraduate students in all engineering and science fields and mature senior undergraduate students can also pursue this course.

Also Read: Online Machine Learning Courses & Certifications

The Highlights

12 Weeks Course
Completion Certification
For PG/UG Students

Programme Offerings

videos
assignments
Hands-on Learning
Books
Transcripts
Live Session

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	IIT Madras

Eligibility Criteria

Academic Qualifications

Postgraduation or mature senior undergraduate Students are eligible for the Machine Learning for Engineering and Science Applications certification course.

What you will learn

Machine learningApplication of ML AlgorithmsKnowledge of MATLAB

After completing the Machine Learning for Engineering and Science Applications certification syllabus, candidates will gain insights into leading industry cutting-edge techniques and principles. Students gain proficiency in utilising the learned methods and techniques to predict and develop models. They will also explore computational capabilities and understand the limits and application of the appropriate ML algorithms.

Upon completing the Machine Learning for Engineering and Science Applications training, the students will gain an in-depth understanding of modern algorithms in ML and their applications. The students gain the essential skills and knowledge required to implement the methods in open-source packages such as TensorFlow.

Who it is for

Machine Learning EngineerDeep Learning EngineerArtificial Intelligence Engineer

The Machine Learning for Engineering and Science Applications online course is designed for aspiring engineers or engineers working in the industry. This course will help the students and professionals to enhance their skills and knowledge. This course can also be beneficial for:

Admission Details

To join the Multimodal Interaction classes, follow these steps:

Step 1: Go to the link below:

https://nptel.ac.in/courses/106106198

Step 2: Candidates must “Login In” with the “Log In button” provided on the top right side of the page and create a separate account or “Log In with Microsoft or Google Account.”

Step 3: After filling out the details in the form submit and join the course.

The Syllabus

Mathematical Basics 1 – Introduction to Machine Learning
Linear Algebra

Mathematical Basics 2 -- Probability

Computational Basics – Numerical computation and optimization
Introduction to Machine Learning packages

Linear and Logistic Regression – Bias/Variance Tradeoff
Regularization
Variants of Gradient Descent
MLE
MAP
Applications

Neural Networks – Multilayer Perceptron
Backpropagation
Applications

Convolutional Neural Networks 1 – CNN Operations
CNN architectures

Convolutional Neural Networks 2 – Training
Transfer Learning, Applications

Recurrent Neural Networks RNN
LSTM
GRU
Applications

Classical Techniques 1 – Bayesian Regression
Binary Trees, Random Forests
SVM
Naïve Bayes
Applications

Classical Techniques 2 – k-Means
kNN, GMM
Expectation Maximization
Applications

Advanced Techniques 1 – Structured Probabilistic Models
Monte Carlo Methods

Advanced Techniques 2 – Autoencoders
Generative Adversarial Networks

Evaluation process

Students are required to register themselves to appear in the examination. An optional proctored certification exam must be taken by students at a nominal fee at the end of the certificate course to receive the certificates from the IITs.

Instructors

IIT Madras Frequently Asked Questions (FAQ's)

1: How long is the Machine Learning for Engineering and Science Applications online course?

The certification course duration is 12 weeks. The candidates can get the entire course notes online on the official website of NPTEL.

2: What are the eligibility requirements for the Machine Learning for Engineering and Science Applications online course?

The students are required to have familiarity with Multivariable Calculus, Linear Algebra, Probability, Statistics and basic knowledge of programming. Both UG and PG students can apply for this course.

3: Does the Machine Learning for Engineering and Science Applications certification course cover the essential topics of ML Algorithms?

Yes, the course covers almost every important topic related to ML Algorithms and how to apply, design or develop them. Students get the opportunity to train themselves with industry experts.

4: Will I receive certification after completing the Machine Learning for Engineering and Science Applications certification course?

Yes, upon completion of the certification course, the students will receive the certificates based on their performance in the assignments and examination.

5: What are the eligibility criteria to get a certificate?

The Candidates need to clear the examination with a score of at least a minimum of 10 out of 25 percent in assignments and 30 out of 75 percent in the final proctored exam.