8 Courses and Certifications

NPTEL Machine Learning Courses & Certifications

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Introduction to Machine Learning

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Certificate

Introduction to Machine Learning

Candidates looking for an undergraduate or postgraduate course in machine learning should enroll in the Introduction to Machine Learning program. It is an elective twelve-week course in the field of computer science and engineering, programming, artificial intelligence, and data science. A collaboration of IIT Madras and NPTEL, this course is an initiative by the Ministry of Education, Government of India, and is available on the learning platform Swayam.

Introduction to Machine Learning certification will be taught by professor Balaraman Ravindran. The syllabus includes various topics from the data-driven disciplines such as machine learning and analytics. Candidates will be introduced to different learning paradigms and some popular algorithms and architectures used in these paradigms.  

Introduction to Machine Learning is an online free audit course that offers an e-certificate for interested participants. Candidates will attend the online lectures, and submit assignments periodically. There is also an optional offline examination for participants who want to achieve certification.

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12 Weeks
Free
Skills Covered:
Knowledge of Algorithms Machine learning Data science knowledge
Reinforcement Learning

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Certificate

Reinforcement Learning

The Reinforcement Learning program focuses on studying the mathematical grounds of reinforcement learning- a psychological phenomenon. Students will explore such concepts and view this learning paradigm in light of AI, research, and psychology. Through this AICTE approved course, learners can avail a verified certificate that validates their newly acquired expertise and acquired skills.

Spread across 12 weeks, the Reinforcement Learning certification syllabus is replete with learning modules, books, and research references. Students may proceed to the next module after completing the previous week’s topics. The curriculum highlights bandit algorithms, function approximation, hierarchical RL, and much more. It is an elective course based on AI, data science, and computer engineering. 

The Reinforcement Learning online course is developed by IIT Madras. Professor Balaraman Ravindran from the institute instructs the study. For the certification, students need to write a proctored examination after completing the course and assignments. This certificate will carry logos of IIT Madras and NPTEL, which is verifiable on NPTEL’s website.

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12 Weeks
Free
Skills Covered:
Mathematical skill Programming skills
Machine Learning for Engineering and Science Applications

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Certificate

Machine Learning for Engineering and Science Applications

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

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12 Weeks
Skills Covered:
Machine learning Application of ML Algorithms Knowledge of MATLAB
Multivariate Procedures with R

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Introduction to Machine Learning Tamil

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Certificate

Introduction to Machine Learning (Tamil)

8 Weeks
Free
Machine Learning for Earth System Sciences

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Certificate

Machine Learning for Earth System Sciences

The Machine Learning for Earth System Sciences certification course offers a comprehensive exploration of spatio-temporal statistics and data mining, focusing on their applications in earth system sciences. Intended for final-year undergraduates, postgraduates, and research students, it covers earth system observations, data analytics, and modelling in domains like hydrology and climate.

Prerequisites include mandatory machine learning knowledge, optional deep learning expertise, and a working understanding of earth system science domains. The Machine Learning for Earth System Sciences certification by Swayam caters to both undergraduate and postgraduate levels, fostering a solid grasp of statistical concepts in analysing earth system phenomena.

Also Read: Online Machine Learning Certification Courses

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8 Weeks
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Practical Machine Learning with Tensorflow

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Certificate

Practical Machine Learning with Tensorflow

The Practical Machine Learning with Tensorflow certification course offers a comprehensive curriculum that covers the key aspects of Tensorflow and Machine Learning such as data input, Tensorflow preprocessing, and prediction. This certification course lasts 8 weeks, and its prerequisites are Programming, Data Mining, Machine Learning, or Data Science. 

The students gain hands-on training in the subject from industry experts. The Practical Machine Learning with Tensorflow certification by NPTEL equips students with the required skills and knowledge to build ML models using Tensorflow. The candidates also learn the application of techniques, principles, and strategies in real-world projects.

Also Read: Online Machine Learning Courses & Certifications

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8 Weeks
Skills Covered:
Machine learning
Linear Regression Analysis

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