Executive Certificate Programme in Artificial Intelligence and Machine Learning

Programme Objective

At the completion of this programme, a participant must be able to

Learn concepts behind Artificial Intelligence and Machine Learning
Know the algorithms and their usage in solving business problems.
Recognize their impact on various functions in businesses.

During the program participants will be exposed to cloud based Machine Learning tool as well as own computer based machine learning tools. Participants will understand initial Machine Learning concepts using a cloud based graphical tool (Microsoft Azure), and thereafter using two other visual programming tools that can be downloaded on individual systems.

This course is most suitable for business/functional professionals who are seeking to understand the domain of AI and ML and explore how structured knowledge in this area can contribute productively to business objectives. In-depth learning of R or Python will not be part of this program, although some exposure with respect to Machine learning will be provided.

Key Takeaways

Opportunity to earn Certificate of Completion from SPJIMR.
Programme content and structure designed by SPJIMR.
Hands-on practical exposure on trending domains like ML, DL etc.
Get first-hand exposure to tools like R, Python, Weka etc.
Lectures imparted by eminent faculty from SPJIMR. Guest lectures by Industry experts to provide practical insights into real life applications.

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Eligibility

Education

For Indian Participants - Graduates (10+2+3) or Diploma Holders (only 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.
A minimum of 4 years of work experience.

Prerequisite

Participants need to have at least 4 GB RAM PC/Laptop with i5 processor
Ability to seamlessly install and run Windows based applications will be required (most software run on Windows systems).
Off class access to reasonable internet bandwidth and readiness to do hands-on exercises on own laptop/desktop.
Prior coding/programming is not prerequisite, although exposure will be useful
Participants will need to download software as may be required. Necessary information will be sent to participants closer to commencement date.

Duration

65 Hours across 22 weeks (~6 months)

Pedagogy

The primary method of instruction will be through a combination of LIVE and recorded lectures that will be beamed online via internet to student desktops/laptops or classrooms. The lectures will be delivered by multiple eminent faculty from SPJIMR as well as Guest speakers from the industry. The approach to pedagogy combines live lectures, application exercises with hands-on practice for some sessions and instrumented feedback with a strong emphasis on concepts and theory.

All enrolled students will also be provided access to SLIQ, Talentedge’s Cloud Campus, through which students may access other learning aids, reference materials and assessments, case studies, projects and assignments as appropriate. Throughout the duration of the course, students will have the flexibility to reach out to the Professors, real time during the Live classes or offline via SLIQ to raise questions and clear their doubts.

Who Should Attend

Department and Business Unit Heads who need firsthand knowledge of and exposure to areas like AI and ML to understand and stay abreast with the advancement in the area of analytics
Senior Leaders who depend on inferences from analyzing complex chunks of data for effective decision making
Business Managers who rely on information from large databases for business decisions and seek structured knowledge on how the technology works
Marketing Managers who leverage data to predict market trends
Working Professionals and Executives seeking to understand these upcoming domains better and explore related career options.

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Fee Schedule

Course Launch Date	15 Oct 2019 (including programme listing on Talentedge website)
Application Closure Date at Talentedge	04 February, 2020
Final Enrollment sheet (shared with SPJIMR)	05 February, 2020
Date of 1st Installment	04 February, 2020
Date for 1st Class (on Talentedge Platform)	08 February, 2020
Course End Date	July 2020

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For Indian Residents

Rs. 65,000+ GST*

Payment Deadline: 21/02/2019

For International Students

USD : $1500

Payment Deadline: 21/02/2019

Installment Schedule

Rs. 25,000 + GST*

USD 550

Payment Deadline

At the time of Registration

Rs. 15,000 + GST*

USD 350

Payment Deadline

04th Feb, 2020

Rs. 25,000 + GST*

USD 550

Payment Deadline

25th April, 2020

Note : All payments will be collected online via Talentedge’s payment portal or vide DD/Cheque In favour of “Arrina Education Services Private Ltd” payable at New Delhi

Faculty

Dr. Anil Vishnu Vaidya

Doctorate (University of Bradford, UK), MBA (University of Akron, USA)

Dr. Anil Vaidya is Professor of Information Management, also holds responsibility as Area Head of ‘Information Management’ at S. P. Jain Institute of Management & Research (SPJIMR), Mumbai. He has been with SPJIMR since January 2011. Prior to joining SPJIMR he was industry practitioner for 33 years, in CIO roles in MNCs such as Philips, Rhone-Poulenc and Parke-Davis. In Philips he progressed from Country role, as Sr. Director IT, to Cluster Director role to Asia-Pacific role to Global role; was based in Eindhoven, Netherlands, in Philips IT HQ for 3 years.

Post industry career, past 8 years Dr. Vaidya has been a full time Academician, one year with Symbiosis, Pune as Director of SCIT, and after that in Mumbai with SPJIMR since 2011. Earlier he has taught for Mumbai University MMS, MMM, MFM, MIM programs at NMIMS and JBIMS as visiting faculty for 20 years.

Academically, Anil Vaidya graduated as Doctor of Business Administration from University of Bradford, UK, in 2011. He did his MBA from University of Akron, Ohio, USA, in 1982. He has his bachelor degrees from University of Mumbai; B.Sc. (Mumbai, 1972), B. Sc. (Tech) (Mumbai, 1975). Recently he completed his LLB from University of Mumbai (2013-2016) to consolidate his law base in Cyberlaws. Anil Vaidya also holds global certifications from ISACA viz. CISA and CISM. He is also certified as ITSM.