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EMBA Pro					  - Deep Learning and Artificial Intelligence

EMBA Pro					  - Deep Learning and Artificial Intelligence					  EMBA Plus - Artificial Intelligence & Deep Learning


Duration of EMBA Pro					  - Deep Learning and Artificial Intelligence					   Duration : 1 Year

Mode of EMBA Pro					  - Deep Learning and Artificial Intelligence					    Mode : Continuing Education

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Duration of EMBA Pro					  - Deep Learning and Artificial Intelligence					   Duration : 1 Year

Mode of EMBA Pro					  - Deep Learning and Artificial Intelligence					    Mode : Continuing Education

Introduction


Artificial Intelligence and Deep Learning helps the machines in performing the task similar to human beings. Machine Learning enables the machine to access the huge data and perform task through the algorithms determining the required output without any manual intervention.

Data has been envisaged as the fuel to ignite the modern requisites of mankind wherein Deep Learning is creating an impact on decision making through actionable intelligence system.

Deep Learning is the best sought after skills for any learner who seeks a career in analytics field considering the huge potential in business world. As per the survey conducted by Accenture, 88% of Indian business houses are expected to make moderate to extensive investment in AI related technologies in coming 3 years.


Objective

Objective

After completing this course you would be able to

  • Learn to plan and implement a Machine Learning Solution for repetitive task
  • Acquire knowledge and implement skills for making predictions for future business
  • Understand building models through Python which are necessary for dynamic business requirements
  • Learn statistical methods for clustering, regression and classification which are used are used in predictive analytics

Highlights

  • EMBA is certified by one of the Top University in India Venkateshwara Open University
  • Recognized by UGC-AIU
  • This is a Blended Program with mix of synchronous and asynchronous learning.
  • Weekend Live & Interactive Sessions through eminent faculties
  • Access to Virtual Campus for learning
  • Mobile App for anywhere and anytime learning

Admission Process

  • The students would be appearing for online entrance examinations which would be based on modules like Reasoning Skills, Maths & Statistics and English Communication. (50% is passing criteria for entrance test)
  • After online test and the telephonic interview; the successful students would get an offer letter.
  • The students who have received the offer letter are required to submit the admission form with all their relevant documents and applicable fees for processing the admission.

Documents Required

  • Admission form
  • 10th Std. Mark Sheet
  • 12th Std. Mark Sheet
  • Degree All Year Mark Sheet / Degree Certificate
  • Govt. Photo ID Card
  • Experience Letter (Experience of 2 years)

Curriculum

Semester 1

  • Accounting & Financial Management
  • Modern Marketing Management
  • Statistics and Python for Machine Learning
  • Machine Learning in Python
  • Big Data and Hadoop

Semester 2

  • Production Operations & SCM
  • IOT/Cloud and Watson Analytics
  • Deep Learning and Natural Learning Process
  • Social Media & Web Analytics, Sentiment Analytics and Visualization
  • Business Application of Machine Learning

Eligiblity

Eligiblity

Graduates having zeal to enter the world of Machine Learning and Artificial Intelligence and have minimum 2 years work experience (Experience letter of 2 years). Student should have basic understanding in entry level statistics and programming concepts

Career

Careers

  Investment Banker

   Bank Manager

   Branch Manager

  Financial Broker

   Credit & Loan Officer

  Economist

   Stock Broker

  Financial Risk Advisor

Fees

Programme Fees

Entrance Exam Fees 500
Upon Receipt of Offer Letter – Registration Fees 50,000
Within 3 Months from Admission 1,00,000
Within 6 Months from Admission 1,00,000
Total Fees 2,50,000
(*Enrollment Number based on eligibility criteria would be generated after receipt of Rs. 1, 50,000/- of total fees.)



Student Testimonials

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