Program

Career Back To Women: Certified Professional in Basics of Artificial Intelligence / Machine Learning

10 weeks English

Program Description

The two course track is targeted at professionals, practicing engineers and scientists who are interested in learning and understanding AI / ML in sufficient depth and breadth. At the end of this program, participants will develop structured thinking approach to transition from data to problem definition. Python, an open source tool will be introduced in depth. Important and commonly used machine learning and AI algorithms will be described in detail. Laboratory sessions will be conducted as part of each module with the expectation that the participants will be able to apply these algorithms on realistic data

Introduce the participants to the field of ML/AI background and key concepts

Introduce the participants to Python an easy to use tool for high level data analytics

Introduce the participants to a comprehensive overview of linear algebra, statistics and optimization concepts critical concepts for the understanding of ML/AI algorithms

Introduce the participants to in-depth explanation of the most used ML/AI algorithms supported by hands-on work in Python from an application viewpoint

Introduce the participants to real-life applications of ML/AI Techniques a case study approach.

Program Fee

  • 41300.00 (inclusive of tax)

Educational Qualification

For Indian Participants - Graduates or Diploma Holders (10+2+3) from a recognized university (UGC/AICTE/DEC/AIU/State Government) in any discipline.
For International Participants - Graduation or equivalent degree from any recognized University or Institution in their respective country.

Suggested Prerequisites

Basic understanding of technology, networks and security, while not mandatory, will be an added advantage

Successful completion of BTCUBE is a pre-requisite

Duration

10 weeks

Course Date

From 06/06/2020 to 09/08/2020

Certificate

Certificate of Completion by IIT-MADRAS

Teaching Hours

40 hours

Lead Faculty

  • Prof. Masilamani (IIITDM, Kancheepuram)

Course offered by

Learning Schedule

S.No Modules
1 Python Programming
2 Introduction To Statistical Modelling
3 Basics Of Linear Algebra
4 Data Preparation
5 Predictive Modelling