Artificial Intelligence and Machine Learning Course

Doctor of Business Administration in Artificial Intelligence and Machine Learning

Application closes on 5th Feb 2026

3 Years

Program Duration
Ranked #1

Best Online DBA course, Forbes 2024
No entrance exam

like GRE/GMAT/TOEFL
WES

Accredited

Trusted by millions of learners worldwide

Learn more about the course

Get details on syllabus, projects, tools, and more

Sorry, this content is currently not available
in your region

Continue to check out similar courses available to you

EXPLORE COURSES

Name

Mobile Number

By submitting this form, you consent to our Terms of Use & Privacy Policy and to be contacted by us via Email/Call/Whatsapp/SMS.

Doctor Of Business Administration in Artificial Intelligence and Machine Learning

Application closes 5th Feb 2026

What's new?

Build expertise in Generative AI

Dive deep into cutting-edge Generative AI concepts, leveraging tools like ChatGPT and Hugging Face Transformers library to access LLMs for text generation, summarization, and other advanced applications.
Modules on MLOps and Multimodal AI

With our Artificial Intelligence course, master MLOps for seamless model deployment alongwith Multimodel AI to integrate and process diverse data types effectively

Program Outcomes

Transform business and drive growth with AI

Drive business transformation as a strategic AI leader

Gain strategic insights to manage and execute AI projects effectively
Build innovative AI-powered products and services to drive growth
Boost your career with a globally recognized credentials
Demonstrate mastery and earn the title of 'Dr.'

Earn Doctoral and Master's Degrees from the World's Leading Institution

Ranked #1 among top 10 best Online DBA Degrees of 2024

Forbes
Top Tier 1 ranking for DBA

Global DBA Ranking by CEO Magazine
Accredited by the HLC

Accreditation agency recognized by the U.S. Department of Education

Key program highlights

Why choose the DBA in AI & ML program

Top ranked DBA by Forbes

Ranked among top 10 online DBA degrees of 2024 by Forbes for academic quality and industry relevance.
Hands-on projects followed by thesis

Work on numerous real world projects followed by capstone projects and a final dissertation with dedicated guidance from top faculty and industry experts.
WES recognized and HLC accredited

Ensures global acceptance and enhances career and academic opportunities.
Alumni status from Walsh College

Earn alumni status from Walsh College upon program completion.
Expert mentorship and support

Interact with AI experts for guidance on completing and showcasing your projects, while receiving 1:1 personal assistance, weekly concept reinforcement sessions, and dedicated support from a program manager for any queries.
Added Modules on Generative AI and Prompt Engineering

Gain practical knowledge of transformer architectures, Retrieval-Augmented Generation (RAG), and prompt engineering to build effective NLP solutions using open-source LLMs.
A cohort of experienced leaders

40% of participants are senior-level professionals, and 60% are in leadership roles, bringing diverse expertise and strategic insights.
Powerful Global Network

Connect with peers from Amazon, Microsoft, JPMorgan, and others. Unlock top-tier career opportunities beyond the classroom.
*The list of companies is indicative and may vary based on cohorts

Skills you will learn

Generative AI

Prompt Engineering

Machine Learning

Research Methodology

Academic Writing & Publication

Deep Learning

Neural Networks

Business Intelligence Using AI

AGENTIC AI

AI Strategy & Ethics

Large Language Model

Natural Language Processing

Retrieval-Augmented Generation

AI Business Application

Generative AI

Prompt Engineering

Machine Learning

Research Methodology

Academic Writing & Publication

Deep Learning

Neural Networks

Business Intelligence Using AI

AGENTIC AI

AI Strategy & Ethics

Large Language Model

Natural Language Processing

Retrieval-Augmented Generation

AI Business Application

Careers after a DBA in AI and ML

Top career roles for DBA graduates

Here are high-impact roles typically pursued by DBA in AI and ML graduates:

Chief AI officer
Director – AI strategy
AI/ML Solutions architect
Senior data scientist
Head of AI/ML research
AI and ML consultant

This program is ideal for

The DBA in AI & ML is designed to empower working professionals and senior leaders to drive innovation, lead transformation, and create research-backed business impact

View Batch Profile

Senior professionals

Elevate your career with advanced leadership skills, applied research capabilities, and AI-driven business strategies
Domain experts and functional Leaders

Integrate AI/ML into functional areas like marketing, finance, operations, and HR to solve complex business problems
CXOs and business heads

Strengthen your strategic edge and guide your organization’s AI transformation with global insights and doctoral-level expertise
Technology leaders

Lead AI initiatives and innovation teams with a deep understanding of technical architectures and their business impact

Experience a unique learning journey

Our pedagogy is designed to ensure career growth and transformation

Learn with self-paced videos

Learn critical concepts from video lectures by faculty & AI experts
Engage with your mentors

Clarify your doubts and gain practical skills during the weekend mentorship sessions
Work on hands-on projects

Work on projects to apply the concepts & tools learnt in the module
Get personalized assistance

Our dedicated program managers will support you whenever you need

Get an exclusive preview of the course

Explore faculty videos and mentorship sessions. Get insights into relevant case-studies and projects.

Ready to take the next step?

Apply Now to get an exclusive course sneak peek!

Explore a sample course from our faculty
Know more about the case-studies & projects
Experience a sample mentorship session with an industry expert

Apply Now

Application closes in:

Days

Hrs

Mins

Secs

Get in touch with our Program Advisors & get your queries clarified.

Get a detailed program overview
Understand how this program can help achieve your career goals
Get more information about the admission process & next steps

Schedule a call

50,000+ learners found this helpful

Curriculum

225+ hrs

learning content
10+

languages & tools

Phase 1

Foundation

Introduction to Data Science and AI (Self-paced Module) Python for Artificial Intelligence and Machine Learning Applied Statistics

Machine Learning

Supervised Learning
Unsupervised Learning
Ensemble Techniques
Featurization, Model Selection, and Tuning
Introduction to SQL

Artificial Intelligence

Introduction to Generative AI and Prompt Engineering

Introduction to Neural Networks and Deep Learning
Computer Vision
Natural Language Processing
Self-paced Module: Demystifying ChatGPT, GenAI, and Its Applications
Self-paced Module: ChatGPT-the Development Stack

Phase 2

Term 1

Applied Research Topics In Deep Learning Theory And Practical Applications

In this module, you will master CNNs, RNNs, LSTMs, autoencoders, and state-of-the-art Generative models like GPT, PaLM, CLIP, and DALL·E, and gain the industry-critical skills of transfer learning, Prompt Engineering, and RAG and LoRA fine-tuning to create domain-specific AI systems ready for real-world impact. Database storage technologies have evolved into complex systems that support knowledge management and decision support.

Introduction to Deep Learning
Neural Networks and Backpropagation
CNN, RNN, LSTM
Autoencoders and Generative Models
Transfer Learning
Prompt Engineering basics
Foundation Models GPT, PaLM, CLIP, DALL·E
RAG, LoRA

Data Storage Technologies

This module examines the foundations of database storage technologies. Students will learn about database storage architecture, types of database storage systems (legacy, current, and emerging), physical data storage, transaction management, database storage APIs, data warehousing, governance, and big data systems.

Evaluate Different Database Storage Technologies
Compare Systems Used In Data Analytics
Investigate Legacy, Current, And Emerging Systems
Assess Database Storage Solutions Through Hands-On Labs

Term 2

AI Strategy for Leaders

The module integrates real-world case studies from industry leaders such as Tesla, Amazon, JPMorgan Chase, and Microsoft, providing students with insights into AI successes and challenges. Through case study analyses, discussions, and practical assignments, students will develop leadership strategies for AI integration, ensuring responsible and effective adoption of AI in their organizations.

AI Fundamentals and Business Applications
AI Vision and Strategy Development
Ethical AI Leadership
Building AI-Ready Teams
AI Tools and Technologies
Data Governance and Compliance
Measuring AI Impact and Risks
The Future of AI Leadership

Mathematics of Artificial Intelligence and Machine Learning

This module introduces and explains the fundamental mathematical concepts that form the backbone of Artificial Intelligence and Deep Learning. It emphasizes a strong understanding of linear algebra and analytic geometry, which are essential for building and optimizing AI models. Upon successful completion of this module, students will be able to:

Analyze the role of scalars, vector spaces, tensors, matrices, derivatives, and gradient descent.
Apply fundamental linear algebra and its mathematics to solve problems in Artificial Intelligence and Machine Learning.
Evaluate and select the most effective optimization methods and their mathematics for specific Artificial Intelligence and Machine Learning problems.
Differentiate between the roles of probability in predicting future events and statistics in analyzing past events for their applications.

Term 3

Capstone Project

The student will work with the Capstone Project Mentor to develop a proposal. After review and approval by the Capstone Project Mentor, the student will be authorized to complete the project. The student will present the completed project at the end of the semester.

Upon successful completion of this module, students will be able to:

Demonstrate the knowledge gained from the previous modules in the program.
Write a formal research paper or conduct a detailed project.
Apply the objectives of research to a practical information technology problem.
Create a project plan to successfully present a solution/goal to the stated problem.
Use research tools for an applied research paper or project.
Evaluate the validity and reliability of statistics and other forms of research.

Applied Research in Natural Language Processing (Only for Doctorate learners)

This module is designed to provide students with advanced knowledge and practical skills in Natural Language Processing (NLP) research and applications. Students will delve into cutting-edge techniques, methodologies, and tools used in NLP, with a focus on applied research and real-world use cases.

Upon successful completion of this module, students will be able to:

Evaluate and apply advanced Natural Language Processing models and architectures to solve domain-specific language tasks.
Design, implement, and optimize NLP models using state-of-the-art algorithms, evaluation metrics, and experimental design principles.
Critically analyze the ethical, societal, and fairness implications of NLP technologies, and propose responsible solutions.
Develop NLP systems that extract, generate, and interpret structured and unstructured data for diverse real-world applications.
Conduct applied NLP research by formulating hypotheses, implementing models, and interpreting results to advance the field.

Term 4

Qualitative And Exploratory Research Methods

This module introduces qualitative research and non-statistical forecasting methods, with a focus on the study of human behavior in organizations. It covers key qualitative approaches, such as ethnomethodology, grounded theory, and phenomenological research, as well as nonparametric analysis. By the end of the module, students will be equipped to frame qualitative research problems and design robust qualitative studies for doctoral research or future scholarly inquiry.

Quantitative Research Methods I

Data Management And Non-Experimental: This module is a combination of quantitative research methods, multivariate statistics, and forecasting. It assumes the doctoral student has had a graduate-level statistics/quantitative methods module covering parametric statistics and hypothesis testing.

Doctoral Residency I: This module is the first of three residencies. The residencies occur simultaneously with coursework throughout the student's doctoral journey. A residency experience aims to provide students with the opportunity to connect directly with faculty/mentors and fellow students in the doctoral program. Students will attend information sessions, meet with faculty/mentors regarding subject matter and research methodology experts, and present their problem/purpose statement to a review board for feedback and direction.

Outcome: Finalization of project problems and purpose statements.

Phase 3

Quantitative Research Method II

This module is designed to build an advanced body of knowledge that will enable students to use an extensive array of complex statistical models, tools, and software applications to analyze numerical data. Additionally, students will be able to use these advanced techniques to perform predictive analytics.

Advanced Non-experimental and Experimental Quantitative Research Methods
Quasi-experimental Design and Analysis
True Experimental Design and Analysis
Research across Time and Space
Explanation, Prediction, and Simulation
Big Data, Artificial Intelligence, Machine Learning, and other inductive Methods and Approaches

Doctoral Residency II

Transition from coursework to dissertation research. Develop your dissertation proposal, gain ethical research approval, and begin collecting data for your study.

Doctoral Residency III

Advance your dissertation research and writing. Analyze your data, draft your dissertation chapters, and receive ongoing feedback from your dissertation committee.

Dissertation I – Chapter 1
Dissertation II – Chapter 2
Dissertation III – Chapter 3
Dissertation IV – Chapter 4
Dissertation V – Chapter 5

Master in-demand AI & ML tools

Get AI training with 27+ tools to enhance your workflow, optimize models, and build AI solutions

Python
SQL
NumPy
Pandas
Seaborn
scikit-learn
Keras
Tensorflow
Transformers
ChatGPT
OpenCV
SpaCy
LangChain
Docker
Flask
Whisper
ML Flow
Github
Gemini
Dall.E
And More...
View More

Get certificates from the world's leading institutions

Internationally recognized DBA

Gain global recognition with HLC accreditation and WES recognition, ensuring wide international acceptance and credibility.
Prestigious credentials

Earn Doctoral and Master's Degrees from the World's Leading Institution
Lifetime alumni Status

Gain full alumni status from Walsh College and join an elite network of AI consultants, C-suite leaders, and entrepreneurs.

* Image for illustration only. Certificate subject to change.

Meet your faculty

Abbas Raftari

Adjunct Instructor

Know More
Kurt Godden

Senior Analytics Scientist - Ford Motor

Know More
Javed Katibai

Chassis System Architect - General Motors

Know More
Dr. Dave Schippers

VP and Academic Dean

Know More
Michael Rinkus

DBA, Lawrence Technological University

Know More
Drew Smith

PhD, Pacifica Graduate Institute

Know More
James Gerrity

PhD, Adjunct Associate Professor

Know More
Christopher Heiden

Program Lead at IT, Associate Professor of Business Information Technology

Know More

Get industry ready with dedicated career support

1:1 mentorship from industry experts

Get 1:1 career mentorship from our industry experts to prepare for jobs in AI and ML
Interview prep with experts

Participate in mock interviews and access our tips & hacks on the latest interview questions of top companies
Resume & profile review

Get your resume/cv and LinkedIn profile reviewed by our experts to highlight your AI & ML skills & projects
Access to Great Learning Job Board

Apply directly to top opportunities from leading companies with Great Learning Job Board

Course fees

The course fee is USD 12,550

Invest in your career

Gain global recognition with HLC accreditation and WES recognition
Earn alumni status from Walsh College upon program completion
Master AI & ML to solve complex, data-driven business problems
Earn a ‘Dr.’ title & get recognised as a specialist in your field

Take the next step

00 : 00 : 00

Apply to the program now or schedule a call with a program advisor

Unlock exclusive course sneak peek

Application Closes: 5th Feb 2026

Talk to our advisor for offers & course details

Application process

Our admissions close once the requisite number of participants enroll for the upcoming batch . Apply early to secure your seats.

1. Fill the application form

Apply by filling a simple online application form.
2. Interview Process

Go through a screening call with the Admission Director’s office.
3. Join program

An offer letter will be rolled out to the select few candidates. Secure your seat by paying the admission fee.

Eligibility

Applicants must hold a 3 or 4-year bachelor’s degree or equivalent in any discipline with a minimum of 60% marks from a UGC-recognized university or institution. The medium of instruction must be in English.
No GRE/GMAT or any English proficiency test scores are required.

Limited seats available

Get recognised as a specialist in your field with a 'Dr.' title

Batch start date

Online · To be announced

Admissions Open

Apply Now

Frequently asked questions

Program Details

Faculty, Curriculum and Projects

Eligibility, Admissions, and Fees

Career-Related Queries

Is this DBA degree globally recognized?

Yes, this DBA Program by Walsh College is ranked among the top 10 Best online DBA degrees of 2024.

Are the Master's Degree and Doctorate WES-approved?

Yes. Walsh College is recognized by the World Education Services (WES). Students can showcase their educational accomplishments with a verified WES report that is accepted and respected by licensing boards, academic institutions, and employers throughout the US and Canada.

What is the duration and mode of the DBA in the Artificial Intelligence and Machine Learning program?

The program is 3 years long and offered 100% online.

How is the Walsh DBA better than other doctorate degrees in Business Administration?

#1 Ranking for Best Online DBA Programs by Forbes; Awarded Top-Tier Global DBA Ranking by CEO Magazine ; WES recognized; Accredited by The Higher Learning Commission (HLC), a regional accreditation agency recognized by the U.S. Department of Education.

Is there a residency course component in the program?

Yes, the DBA curriculum includes Doctoral Residency I, II, and III courses.

What is the unique aspect of this DBA program?

The DBA program by Walsh College, in collaboration with Great Lakes Executive Learning, blends academic teachings with real-world applications in Artificial Intelligence and Machine Learning. This prepares graduates for leadership roles in technology-driven organizations.

What is the structure of this program?

The Doctor of Business Administration in Artificial Intelligence and Machine Learning at Walsh College is structured in distinct phases:

Demographic

Structure Overview

India

- Phase 1: Postgraduate Program in Artificial Intelligence and Machine Learning (AIML) offered by Great Lakes Executive Learning.

- Phase 2: Doctoral Program in AIML with Walsh College, upon successful completion of the postgraduate phase.

- Credentials Awarded: Earn a globally recognized DBA in AIML from Walsh College, along with a Postgraduate Certificate from Great Lakes Executive Learning.

International

Phase 1: Begins with a Postgraduate Program from the University of Texas at Austin.

- Phase 2: Doctoral Program in AIML with Walsh College, upon successful completion of the postgraduate phase.

- Credentials Awarded: Earn a globally recognized DBA in AIML from Walsh College, along with a Postgraduate Certificate from the University of Texas at Austin.

What kind of certificate will students receive upon completion?

For Domestic (India): Successful learners receive a globally recognized Doctor of Business Administration (DBA) degree in Artificial Intelligence and Machine Learning from Walsh College, along with a Post Graduate Certificate from Great Lakes Executive Learning.

For International Students: Successful learners receive a globally recognized Doctor of Business Administration (DBA) degree in Artificial Intelligence and Machine Learning. from Walsh College, along with a Post Graduate Certificate from the University of Texas at Austin.

What is the deadline to enroll in this program?

Admissions for the upcoming batch will close once we reach the required number of participants. Seats are limited and given out on a first-come, first-served basis. We encourage you to apply early to secure your spot in the program.

What support does Walsh College provide to learners of the DBA Program?

The Doctor of Business Administration in Artificial Intelligence and Machine Learning (Walsh College) provides the following support to its learners:

Flexible Learning: The program is 100% online, allowing learners to balance their studies with professional commitments.
Capstone Projects and Dissertation Guidance: Learners undertake capstone projects in Year 1 and Year 2 and work with a capstone mentor, followed by a thesis (dissertation) in Year 3 under the supervision of faculty/mentors.
Alumni Status: Graduates receive alumni status from Walsh College, which can foster networking and career support.

What possible assistance is provided to students in the final year of the dissertation?

The final year comprises a Dissertation, and to ensure students complete it without any challenges or rejection at a later stage, a Walsh faculty member will be assigned as a guide to show you the right direction.

What are the learning outcomes?

Upon successful completion of the DBA program, you will be able to:

Interpret and implement relevant AI and ML models to create new knowledge paradigms.
Propel the field forward by expanding upon existing literature.
Apply new-age AI techniques to solve real-world business problems.
Develop research methodologies in alignment with philosophical paradigms.
Generate fresh insights and offer justified recommendations.
Upskill yourself as an ideal AI innovator with the latest skills to extract actionable insights for growth.
Work as subject matter experts in your respective organizations and lead innovation/R&D projects.

Why is the DBA in AIML a better choice compared to other Doctor of Business Administration programs?

Unlike many programs that offer only basic AI exposure and limited career support, this DBA uniquely combines an MS, DBA, and PG Certificate with career guidance from Year 1. Recognized by global bodies such as the Higher Learning Commission and World Education Services, it ensures strong academic rigor and international credibility, making it an exceptional choice for professionals seeking both AI expertise and career growth.

Who are some notable faculty members in this DBA program?

Name	Credentials/Background	Affiliation/Expertise
Dr. Abbas Raftari	Dual Ph.D., 25+ years at GM and Ford	Teaches advanced courses in Vehicle Safety, AI, and Data Security at Walsh College.
Kurt Godden	Senior Analytics Scientist	Ford Motor
Javad Katiibai	Assistant Professor - Quantitative Methods	Walsh College; Chassis System Architect - General Motors
Christopher Heiden	Program Lead at IT, Associate Professor of Business Information Technology	Walsh College
James Gerrity	Ph.D., Adjunct Associate Professor	Walsh College; Portfolio Associate and Business Service Manager - Morgan Stanley
Dr. Dave Schippers	VP and Academic Dean, Assistant Professor at Automotive Cybersecurity	Walsh College
Michael Rinkus	DBA, Lawrence Technological University; MA, Central Michigan University; BS, Wayne State University	Walsh College
Drew Smith	Ph.D. Pacifica Graduate Institute; MA, Pacifica Graduate Institute; BS, Rochester University	Walsh College

*Faculty list is indicative and subject to change.

What are the key subjects covered in the curriculum?

Aspect

Domestic learners

International learners

Year 1 – Foundations

Focus on Python, Generative AI, ML, and LLMs.

Modules: Python Bootcamp, EDA, ML (Regression, Trees, Clustering), NLP with Transformers, Computer Vision, MLOps, SQL, Applied Statistics, Capstone Project.

Covers core AI & Data Science fundamentals.

Modules: Python for AI & ML, Applied Statistics, ML (Supervised/Unsupervised), SQL, Generative AI & Prompt Engineering, Neural Networks, NLP, Computer Vision, Self-paced ChatGPT modules, Capstone Project.

Year 2 – Advanced AI & Research

Deep learning (CNNs, GPT, DALL·E), AI Strategy for Leaders, Data Governance, Math for AI, Research Methods (Qualitative & Quantitative), Capstone & Doctoral Residency I.

AI Strategy & Leadership, Advanced NLP, Research Methods (Qualitative & Quantitative), Mathematics for AI, Predictive Analytics, Ethical AI, Capstone Project.

Are there hands-on projects included in the program?

Yes, the program includes Capstone Projects in Year 1 and Year 2, followed by a thesis in Year 3.

What are the languages and tools covered in this program?

The languages and tools covered are Python, TensorFlow, NumPy, Matplotlib, Statsmodels, Keras, Scikit-learn, and Seaborn.

What are the eligibility criteria for this DBA program?

Applicants must hold a 3- or 4-year bachelor's degree (or equivalent) in any discipline from a UGC-recognized university.
The medium of instruction must be English.
No GRE/GMAT scores are required.

For International students: An English proficiency test score is required. Please speak with your program advisor for more details.

What is the admission process?

Step 1: Apply online
Fill out a fast and easy application form. No additional tests or prerequisites are needed.

Step 2: Pre-screening
Our team will contact you by phone to confirm your eligibility for the program.

Step 3: Application assessment
The admissions team will assess your application and provide a timely response.

Step 4: Join the program.
If selected, you will receive an acceptance letter with instructions on how to pay and join the program.

Note: Admission to the program is subject to Walsh College acceptance.*

What is the DBA online program fee?

For the most up-to-date information on the course fee, please refer to the official program page here.

What career benefits does a DBA in Artificial Intelligence and Machine Learning offer?

Graduates become prime candidates for accelerated career progression in AI. They gain skills to lead AI innovation and R&D projects and work as subject matter experts in their organizations.

What skills will I gain after completing the program?

The skills you will gain after completing the DBA program include:

Implementing AI and ML models
Applying AI techniques to solve business problems
Developing research methodologies
Generating insights
Implementing Strategic AI Leadership

Who typically enrolls in this program?

The cohort consists mostly of professionals from IT (47.6%), manufacturing (19.05%), finance, education, marketing, consulting, pharma, and other industries, with work experience ranging primarily from 3 to 15+ years.

*This data is indicative and may vary based on cohorts.

Will I receive alumni status after completion?

Yes, graduates receive alumni status from Walsh College.

Will I receive any career support after completing the program?

Yes, you will receive career support from Great Learning, India’s renowned ed-tech platform for professional development and higher education.

T&C valid*

What are the career opportunities after I complete a DBA degree online?

Here are high-impact career roles typically pursued by graduates of a DBA in AI and ML: