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
Duration | 36 months |
Start from | 25th Mar'25 |
Total fee | ₹36.96 Lakh |
Mode of learning | Online |
Official Website | Go to Website |
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
DBA in Emerging Technologies with Concentration in Generative AI at upGrad Course details
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
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