Admissions are in progress

AIAT Registration

Register

AIAT Registration

Facebook

AIAT Registration

Youtube

AIAT Registration

Instagram

BBA in Artificial Intelligence & Machine Learning


BBA in Artificial Intelligence & Machine Learning
Objective:
  • AI is a bigger concept to create intelligent machines that can simulate human thinking capability and behavior, whereas, machine learning is an application or subset of AI that allows machines to learn from data without being programmed explicitly.

  • Artificial intelligence is a technology using which we can create intelligent systems that can simulate human intelligence.

  • It is for developing the skills of business administration and entrepreneurship to achieve the objectives of higher education and benefit the society at large.AI is one of the fastest-growing and most transformational technologies, with 2.3 million new jobs opening up by 2020.

Eligibility:
  • Age: 17-24 Years
  • Eligible: 10+2 (any stream)
  • Duration: 3 Years
Training Areas:

    The program is balances both the areas of Management and Artificial Intelligence and Machine Learning. Here we are providing some of the areas where the student will be trained on

    Management
  • Human Values and Professional Ethics
  • Operations Management
  • Human Resource Management
  • Financial Management

  • AI & ML
  • Intro to Artificial Intelligence
  • Data Science with Python
  • Deep Learning with Tensor Flow
  • Natural Language Processing
Career Opportunities:

Along with the Management career opportunities, here we provide some of theArtificial Intelligence and Machine Learning career opportunities also

    Management
  • Logistics Manager
  • Marketing Executive
  • Branding and Communication Intern
  • Social Media and Content Intern
  • Finance Manager
  • Human Resource Manager
  • Business IT Analyst
  • Sales Manager
  • Management Trainee
  • Manager
  • Commercial Planning Analyst
  • Business Development Executive
  • Product Manager
  • Travel Management Executive
  • Customer Happiness Executive

  • AI & ML
  • Predictive Data Analyst
  • Quantitative Researcher
  • Customer Analytics Developer
  • Deep Learning R&D Engineer
  • Data Visualisation Intern
  • Data Warehouse Engineer
  • ML Engineer
  • ML Scientist
  • Speech Scientist
  • Data Analyst
  • Big Data Engineer
  • Python Developer
  • Solution Architect
  • Expert in Speech Recognition and NLP
  • Data Scientist