Artificial Intelligence & Data Science
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Online Hands-on Machine Learning and Artificial Intelligence Program

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Course Features

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Duration

5 weeks

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Advanced

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Effort

6 hours per week

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Teaching Type

Instructor Paced

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Video Content

30 hours

Course Description

A course in data analytics must be practice-based, not theory-based. A practice-based course demands constant interaction with the teacher in real time during lectures. The online course is structured in the following way: The algorithm or theory is first explained conceptually without going into mathematics, and then the project is started to implement the techniques. The datasets needed for implementation are available in advance. We will demonstrate the steps and create workflows on KNIME during the lecture. The student follows the same steps on his computer. The results are immediately available for both the students and us. Both the teacher and student are simultaneously working on their laptops; students solve problems and ask questions.

Course Overview

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Live Class

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Human Interaction

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Personlized Teaching

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Case Based Learning

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Post Course Interactions

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Case Studies,Hands-On Training

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Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

Students are required to have a laptop with minimum of 4GB of RAM

What You Will Learn

Big Data Technology

Data Visualization

Unsupervised Learning Techniques

Dimensionality Reduction

Supervised Learning Techniques for Classification and Regression

Deep Learning Technique

Anomaly Detection

Automated Machine Learning

Target Students

Teacher

Ph.d Scholar

Student (of any discipline)

Working Professional

Course Instructors

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Ashok K Harnal

Professor

Prof. Ashok K Harnal: Graduated from IIT Delhi in Electronics and Communication; M. Phil with Distinction from Punjab University, Chandigarh, and MA (Economics) from Punjabi University. Expert in Big...
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Lalit K Jiwani

Professor

Prof. Lalit K Jiwani is anexperienced academician and researcher with interest in Digital Signal Processing and Decision Science. His primary interest is in the creation and application of Informatio...
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Sunita Daniel

Professor

Prof. Sunita Daniel, PhD (IIT Kanpur); M.Phil., M.Sc. (University of Madras) is an Associate Professor at FORE. She has over 21 years experience in research and teaching. Extremely versatile in her i...
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