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DBA in Emerging Technologies with Concentration in Generative AI 

  • Offered byupGrad
  • Private Institute
  • Estd. 2015

DBA in Emerging Technologies with Concentration in Generative AI
 at 
upGrad 
Overview

Empower to solve the challenges of tomorrow and lead in industries reshaped by Generative AI and emerging technologies

Duration

36 months

Start from

25th Mar'25

Total fee

36.96 Lakh

Mode of learning

Online

Official Website

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Course Level

PG Degree

DBA in Emerging Technologies with Concentration in Generative AI
 at 
upGrad 
Highlights

  • Earn a degree after completion of the course
  • Capstone projects for real world exposure
  • Fee can be paid in instalments
  • Global immersions: san francisco, singapore, india
  • Lifetime alumni status
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Details Icon

DBA in Emerging Technologies with Concentration in Generative AI
 at 
upGrad 
Course details

What are the course deliverables?

Generative AI and Innovation

Dissertation Guidance

Quantitative and Qualitative Research Excellence

Leadership in a Digital Age

Global Perspective and Collaboration

AI-Driven Problem Solving

Ethical Business Practices

Strategic Thinking and Decision-Making

Publication and Innovation Outcomes

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More about this course

The Doctor of Business Administration (DBA) program from Golden Gate University (GGU) is designed to arm you with future-ready skills, enabling you to lead confidently in an era dominated by Generative AI and emerging technologies

This DBA in generative AI program integrates industry-leading tools into its curriculum, ensuring you graduate equipped with hands-on expertise to tackle real-world challenges

DBA in Emerging Technologies with Concentration in Generative AI
 at 
upGrad 
Curriculum

Foundations of Machine Learning and AI

Statistics and Probability in Decision Modeling

Supervised and Unsupervised Learning

Learning Theory: Bias/Variance Tradeoffs

AI and ML Applications

 

Deep Learning & its variants

Auto Encoders

Convolutional Neural Networks (CNNs)

Recurrent Neural Networks (RNNs)

Generative Adversarial Networks (GANs)

Sequence-to-Sequence (Seq2Seq) Models

 

Generative AI Using Pre-Trained Models

In-house vs. Pre-trained Models

Large Language Models (LLMs) such as GPT

Image Generators and LangChain

AgentGPT and Enterprise Variants

Research Proposal Development

 

AI Project Design and Execution

AI and ML Project Design Principles

Blueprint Creation for AI Projects

Impact of Emerging Technologies on the Workplace

Project Execution Frameworks

Leading AI Initiatives

 

Responsible AI

AI Ethics and Explainability

Responsible AI Development

Social Impact of AI

Future of Work, Workforce, and Workplace

 

Doctoral Research

Quantitative Analysis: Survey & Experimental Design

Statistical Analysis, Regression, and Time Series

Qualitative Research: Interviews & Focus Groups

Case Study Approach

Doctoral-Level Writing & Research Skills

 

Applied Innovation

AI Fundamentals and Innovation Landscape

Ethical AI and Practical Implementation

Applied AI Innovation

Patenting and Product Development

Capstone Project

Faculty Icon

DBA in Emerging Technologies with Concentration in Generative AI
 at 
upGrad 
Faculty details

Dr Venkatesh Sunkad
Dr. Venkatesh Sunkad, Ph.D. from Univ. of Colorado, M.S. from UT Arlington, has 20+ years of expertise in IoT, Systems Architecture, Network Security, ML, and IT Strategy.
Dr. Dakshinamurthy V Kolluru
Dr. Dakshinamurthy, B.E. from NIT Trichy, M.S. & Ph.D. from Carnegie Mellon, has 20+ years in AI, ML, Deep Learning, and Optimization with expertise in emerging technologies.

DBA in Emerging Technologies with Concentration in Generative AI
 at 
upGrad 
Entry Requirements

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  • N/A

DBA in Emerging Technologies with Concentration in Generative AI
 at 
upGrad 
Admission Process

    Important Dates

    Mar 25, 2025
    Course Commencement Date

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    DBA in Emerging Technologies with Concentration in Generative AI
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