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AI in Marketing

By Dr. Ritika Singh, Dr. Manjusha Kadam, Dr. Swati Upveja   |   BITM, Sri Balaji University, Pune, Balaji Institute of Technology & Management, Sri Balaji University, Pune, Balaji Institute of Technology & Management, Sri Balaji University, Pune
Learners enrolled: 2677

The course AI in Marketing explores how artificial intelligence is revolutionizing the marketing landscape by enabling smarter, data-driven decisions and personalized customer experiences. Students will gain a deep understanding of AI applications such as predictive analytics, recommendation systems, chatbots, and marketing automation. The course bridges theory with practice by integrating machine learning models, natural language processing, and sentiment analysis to understand consumer behavior and optimize marketing strategies. Through hands-on exercises and case studies, learners will explore tools used for AI-enabled targeting, pricing, and content generation. Emphasis will also be placed on the ethical use of AI and data privacy in digital marketing. By the end of the course, students will be equipped to design and implement AI-driven marketing campaigns that enhance customer engagement, retention, and brand value. This elective prepares future marketing professionals to lead in a rapidly evolving, technology-driven business environment.

Summary
Course Status : Upcoming
Course Type : Elective
Language for course content : English
Duration : 8 weeks
Category :
  • Marketing
Level : Undergraduate/Postgraduate
Start Date : 12 Jan 2026
End Date : 30 Apr 2026
Enrollment Ends : 28 Feb 2026
Exam Date :
Translation Languages : English
NCrF Level   : 6.5
Industry Details : Retail and E-Commerce

Page Visits



Course layout

Week 1: Foundations of AI in Marketing

Week 2: Prompt Engineering & Generative Content

Week 3: Content & Social Media Tools

Week 4: Marketing Automation with AI

Week 5: Fundamentals of AI-Driven Marketing Analytics and Insights

Week 6: Personalization & Customer Experience (CX)

Week 7: Emerging Technologies in Marketing

Week 8: Futuristic Innovations in Marketing

Books and references

  • Roetzer, Paul, and Mike Kaput. Marketing Artificial Intelligence: AI, Marketing, and the Future of Business. 1st ed., Emerald Publishing Limited, 2021
  • Park Thaichon & Sara Quach, Artificial Intelligence for Marketing Management, 1st Edition, Routledge, 2023.
  • Shiv Singh & Katie Martell, Marketing with AI For Dummies, 1st Edition, Wiley, 2024.
  • Avi Goldfarb & Mengqi (Annie) Ding, Artificial Intelligence in Marketing, 1st Edition, Emerald Publishing, 2024
  • Raj Venkatesan & Jim Lecinski, The AI Marketing Canvas: A Five-Stage Road Map to Implementing Artificial Intelligence in Marketing, 1st Edition, Stanford Business Books, 2021

Instructor bio

Dr. Ritika Singh

BITM, Sri Balaji University, Pune

Dr. Ritika Singh is an accomplished academician, researcher, and mentor with over a decade of experience in teaching and marketing research. She is currently serving as an Associate Professor at the Balaji Institute of Technology & Management (BITM), Sri Balaji University, Pune, Maharashtra, where she contributes to shaping the next generation of management professionals through her engaging pedagogy and research-driven approach.


A Ph.D. in Marketing, Dr. Singh is also a gold medalist in MBA with an Honors Degree, reflecting her consistent academic excellence. Her areas of expertise include consumer behavior, advertising, sensory marketing, influencer marketing, and pricing management. She has authored several research papers published in SCOPUS-indexed national and international journals, establishing her as a respected voice in the field of marketing.

 

Beyond her academic contributions, Dr. Singh is actively involved in institutional development and academic event leadership, organizing major initiatives such as Case Quest 2.0 - global level initiative. Her strong communication skills, firm determination, and positive attitude have made her a valued faculty member and a guiding force for her students.


Dr. Singh has participated in numerous national and international faculty development programs (FDPs) and conferences, constantly updating her knowledge and integrating global best practices into her teaching. Her ability to blend theory with practical insights makes her sessions both intellectually stimulating and industry-relevant.



Dr. Manjusha Kadam

Balaji Institute of Technology & Management, Sri Balaji University, Pune

Dr. Manjusha Kadam is a distinguished academician and management professional with extensive experience in teaching, research, and institutional leadership. She currently serves as a faculty member at Sri Balaji University, Pune, where she contributes to academic excellence through her innovative teaching methods and student mentorship. Dr. Kadam holds a Ph.D. in Management and has a strong academic background in marketing, strategic management, and organizational behavior. Her research interests include consumer psychology, digital transformation, and leadership development. She has presented and published several research papers in reputed national and international journals. Known for her dedication, professionalism, and student-centric approach, Dr. Kadam actively participates in academic committees, faculty development programs, and university initiatives aimed at fostering holistic learning. Her passion for education and commitment to nurturing future leaders make her an inspiring figure in the field of management education.



Dr. Swati Upveja is an accomplished academic with a Ph.D. in Economics, specializing in Development Economics and Quantitative Techniques. She serves as an Assistant Professor at the Balaji Institute of Technology & Management (BITM), Sri Balaji University, Pune, bringing over eight years of teaching and research experience. Her doctoral work examined the role of human capital in India’s economic growth, and she was a silver medalist in M.A. Economics from Banasthali University. Dr. Upveja’s research interests include macroeconomics, monetary economics, and econometric modelling, and she is proficient in tools such as SPSS for data analysis. Recognized for her academic excellence, she has actively participated in faculty development programs and was honored with the Gargi Award by the Government of Rajasthan for her outstanding scholarly contributions.

Course certificate

Given that this is a non-credit course, it is important to note that there will be no final examination. Consequently, learners will not receive a certificate upon completion of the course. This structure aligns with the academic nature of the program, emphasizing the absence of a formal assessment and certification process for non-credit courses.

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