Executive Certificate Program in Artificial Intelligence and Machine Learning

Get Your Hands On Artificial Intelligence & Machine Learning To Decode Data

Course Snapshot
  • FeeINR 60,000 + GST
  • Work Experience4 - 30 Years
  • Duration5 Months
  • Delivery MethodOnline
  • Course Starts On07 Apr 2019
Course Detail

About SPJIMR

Established in 1981, SPJIMR, a leading school of management in the heart of India’s financial centre, has grown over the years to be recognized as one of the top 10 business schools of India. SPJIMR is a constituent unit of the Bharatiya Vidya Bhavan, India’s premier non-profit that has for over seven decades worked in the cause of education and for preserving and promoting India’s rich cultural heritage. It functions as an autonomous Institute with entrepreneurial agility.

Program Overview

The future of business industry is visualized as a combination of refined machines and adaptive software. This has hailed concepts like Artificial Intelligence (AI) and Machine Learning (ML) to consent a business attain rapid success. Business Leaders need to understand the impact they create and the value the users associate with it. Understanding the concepts, principles and the usage to manage future business thus becomes critical.

This Artificial Intelligence & Machine Learning course is immaculate for those who are seeking to understand this domain, its concepts, algorithms and application and aspire to explore how structured knowledge in this area can contribute productively to business objectives.

Program Features

- Lectures imparted by top faculty & industry experts
- Acquaint yourself with trending domains like Machine Learning, Deep Learning, etc.
- Hands-on practice of concepts learnt through working on examples and datasets
- Opportunity to get Certificate of Completion by SPJIMR

Who should attend

- Department & Business Heads: Who need fundamental knowledge of areas like AI and ML to understand and stay abreast with analytics
- Senior Leaders: Who depend on inferences from analyzing complex chunks of data for effective decision making
- Business & Marketing Managers: Who rely on information from large data, seek structured knowledge & leverage data to predict market trends
- Working Professionals & Executives: Seeking to understand these upcoming domains better and explore related career options

Talentedge Advantage

- Live & Interactive Digital Learning
- Dedicated Student support
- Industry interactions
- Weekend schedule
- Classroom based learning
- Mobile platform enabled

Course Schedule

- Duration: 5 Months
- Start: 7th April 19
- 3 hours every 2nd and 4th Saturday from 10.00 am to 1.00 pm IST and every 1st, 3rd, 5th Sunday from 10.00 am to 1.00 pm IST.

Desired Candidate Profile

Education

- For Indian Participants - Bachelors in Engineering (10+2+4) or Graduates in Computers, Science, Commerce or Business (10+2+3) from a recognized university (UGC/AICTE/DEC/AIU/State Government).
- For International Participants - Graduation or equivalent degree from any recognized University or Institution in their respective country.

Prerequisite

- Participants need to have at least 4 GB RAM PC/Laptop with i5 processor.
- Windows based PC/Laptop or ability to seamlessly install and run Windows based applications.
- Need to be ready to try hands-on practical on their own PCs/Laptops.
- Prior coding/programming is not prerequisite, although exposure will be useful.
- Participants will be asked to download some of the free softwares as course progresses, also will be required to register with one or more cloud service providers. Registered participants will get necessary inputs to do so prior to the beginning of the course.

Work Experience

- Minimum of 4 years of work experience

Course Modules

Module 1: Artificial intelligence
Module 2: Machine Learning
Module 3: Algorithms
Module 4: R
Module 5: Deep Learning
Module 6: Python and its position in ML
Module 7: Pre-processing data
Module 8: Open source Python
Module 9: Weka
Module 10: BOTS
Module 11: NLP (Natural Language Processing)
Module 12: RPA (Robotic Process Automation)