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Learn Paths

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Course Features

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Duration

6 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

Intermediate

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Teaching Type

Instructor Paced

Course Description

Companies across industries are deploying, investing in, or planning to invest in AI and Emerging Technologies. AI improves industry processes, making machines smarter. It is the future of all complex decision-making.

These technologies are impacting every aspect of enterprises today: revolutionizing work, data use, organizational efficiency, customer and employee experiences, risk management, and more.

2021 will be the year when businesses will pursue AI and other Emerging Technologies to enhance their competitiveness.

Course Overview

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Live Class

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Alumni Network

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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,Industry Exposure,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

Students from S.T.E.M (Science, Technology, Engineering, and Mathematics) background interested in exploring AI domain

A recent graduates (0 to 3 years experience) actively looking for opportunities in AI and Emerging Technologies

Basic programming knowledge required

What You Will Learn

Basics of Python

External Libraries(Numpy, SKlearn, Pytorch)

Pandas for data wrangling

Calculus and Optimisation

Machine Learning

Applications of AI

Github & Kaggle Profile

Course Instructors

DA

Dr. Antony Franklin

IoT, Mobile Edge Computing, Next-gen Mobile Network Protocols Systems

Associate Professor at the Dept of Computer Science and Engineering, IIT Hyderabad. His research interests include IoT, Mobile Edge Computing, Next-gen Mobile Network Protocols and Systems
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Dr. Vineeth Balasubramanian

Deep Learning, Machine Learning, Real-world Applications, Computer Vision

Associate Professor at the Dept of Computer Science and Engineering, IIT Hyderabad. His research interests include Deep Learning, Machine Learning, Computer Vision, Optimization and Real-world Applications.
DM

Dr. Maunendra Sankar Desarkar

Recommendation Systems, Social Network Analysis, Machine Learning

Assistant Professor at the Dept of Computer Science and Engineering, IIT Hyderabad. His research interests include Recommendation Systems, Social Network Analysis and Machine Learning
DS

Dr. Sri Rama Murty Kodukula

Signal Processing, Speech Analysis, Pattern Recognition

Associate Professor at the Dept of Electrical Engineering. His research interests include Signal Processing, Speech Analysis and Pattern Recognition.
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