MBA in Digital Marketing(AI)

Online Course | 40 hour | Certificate Included
Underscore the ability to bridge AI and strategic business management.
4.0
(1)
2 Enrolled
40 hours

About Course

The MBA Artificial Intelligence is devised to equip you with the skills and knowledge required to manage the intricacies that stem from an artificial intelligence-driven world.                                                                                                                                You are presented with an opportunity to study the key issues that stem from deploying AI technologies, the impact that AI has in management and business strategy, and the actions executives ought to take while creating a strategy for their company, through modules on Information Management, Artificial Intelligence and Data Analytics.

This program provides an opportunity to study MBA Artificial Intelligence using a flexible and distributed learning environment that will enhance your learning experience as Robert Kennedy College provides a bespoke series of MBA modules via distance learning that, within a set time frame, allow study at a pace, place and location which suits you.

The MBA program benefits greatly from the internationality derived from recruiting students from across the globe, and drawing on tutors well qualified in their field.

Overview of course – 

  • Start Date : 15th Jan 2023
  • Course Type: Online Live Course
  • Duration: 40 hours 
  • Total Lectures: 20
  • Skill Level: Intermediate
  • Assessments: Assignments & Projects 
  • Certificate: Yes 

For Self-Paced Programs: 2 Doubt Session(s)/Master Classes

Faculty Members – 

  • S. Aggarwal
  • Nandan Mishra
  • Niraj T.
  • Shantam D.
  • U. Tiwari
  • S. Garg

Delivery Mode & Duration – 

  • Online Live Mode- 2 Months (40 Hours Online Live sessions + 60 Hours of Assignment and Hands on)

 

 

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What Will You Learn?

  • Understand the fundamental concepts of data science and its applications.
  • Learn data manipulation techniques using Python and Pandas.
  • Gain proficiency in data visualization to effectively communicate insights.
  • Apply statistical concepts and hypothesis testing for data analysis.
  • Explore the basics of machine learning and build predictive models.

Audience

  • Individuals interested in starting a career in data science and analytics.
  • Participants should have a basic understanding of programming and mathematics.

Course Content

Introduction to Course

  • Figma – UI/UX Design
  • Getting Started with Figma
  • User Experience vs Product Designer

Curriculum Second

Instructors

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ikigaischool

4.4
25 Students
15 Courses

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  1. 2 years ago
    At vero eos et accusamus et iusto odio dignissimos ducimus qui blanditiis praesentium voluptatum deleniti atque corrupti quos dolores et quas molestias excepturi sint.

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