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AI & MACHINE LEARNING

Tech Mahindra along with IIIT, New Delhi will prepare the future AI & Machine Learning Experts to fulfill the market demand.

6 Months -

Total 128 Hrs of Learning

Duration

Saturday

10:30 am - 01:30 pm

Timings

INR 1,30,000

3 Easy EMI

Course Fee

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Why to Take

AI & Machine Learning

  • Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especiallycomputer systems. These processes inclaude learning (the acquisition of information and rules for usingthe information), reasoning (using rules to reach approximate or definite conclusions) and self-correction.Particular applications of AI include expert systems, speech recognition and machine vision.
  • Certification course in AI & Machine Learning provides a broad introduction to artificial intelligence and machine learning, including data analysis and data visualization.
  • Certification course in AI & Machine Learning will go into depth about supervised learning, unsupervised learning, reinforcement learning and deep learning.
  • Participants will have the opportunity to explore numerous AI and/or ML applications, which will enable them to apply learning algorithms for solving trending real world problems such as autonomous driving, social media analytics, affect recognition, computer vision, medical informatics, and building interactive robots.

WHO SHOULD ATTEND?

ACADEMICIANS

EXECUTIVES

DATA SCIENTISTS/ DEVELOPERS

Lecturers and Professors for extending the horizon of their knowledge through deepening their research skills.

Ambitious Executives (from Private/Public sectors) with 0-2 year of experience looking forward to sharpening their skills in making sense of data in order to innovate and add more value to their organization and to society

Techniques taught to them will have applications in a broad array of disciplines.

Why Education Lanes

Course Fee

INR 1,30,000

for 6 Months

3 Easy EMI Option

Interactual Learning Platform

Financial Saving

Certification

Convenient Schedule

24 Hours Support

Bring Education to your Home

PEDAGOGY

Case Study and capstone project under the guidance of a mentor.

Online Live Classes supplemented by Assignments/Quiz etc

Virtual labs by TAs (hand-selected PhD students)

ASSESMENT

Assignment based evaluations - every fortnight.Quizzes every month.One end-sem examination. Capstone project evaluation at the end of the semester. A minimum of 70% attendance to the LIVE lectures is a prerequisite for the successful completion of thisprogram. There may be periodic evaluations built in throughout the duration of the course. These may bein the form of a quiz, assignment or other objecti in the form of a quiz, assignment or other objective/subjective assessments as relevant and applicable tothe program and are designed to ensure continuous student engagement with the course and encouragelearning.

Course Module

Duration

6 Months -

128 Hrs of Learning

Foundation

Advance Learning

Fundamental Learning

Advance Learning Application

Advance Learning Capstone

**Above Modules are sub-divided into further more modules.

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About Faculty

Dr. Mayank Vatsa

Program Coordinator

Mayank Vatsa received the M.S. and Ph.D. degrees in computer science from West Virginia University,USA, in 2005 and 2008, respectively. He is currently the Head of the Infosys Center for ArtificialIntelligence, an Associate Professor with the IIIT-Delhi, India, and an Adjunct Associate Professorwith West Virginia University, USA. He was the Vice President (Publications) of the IEEEBiometrics Council where he started the IEEE Transactions on Biometrics, Behavior, And Identity science

Dr. Sanjit Kaul

Dr. Saket Anand

Dr. Richa Singh

Dr. Debarka Sengupt

Dr. Tanmoy Chakrabort

Dr. Tav Pritesh Sethi

Dr. Jainendra Shukla

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