Program Overview

Artificial intelligence (AI) is an interdisciplinary field of study that tries to mimic or recreate human intelligence in machines. Previously, the term “artificial intelligence” was used to describe machines that mimic and display “human” cognitive skills that are associated with the human mind, such as “cognition”, “thinking”, “learning” and “problem-solving”. However, for lack of flexibility, this view has been modified by major AI researchers. Thus, AI is now described in terms of rationality and acting rationally. This flexibility does not limit how intelligence can be articulated. One such definition by Stuart Russell and Peter Norvig, defines AI as the field that studies intelligent agents, where an “intelligent agent” refers to any system that perceives its environment and takes actions that maximise its chance of achieving its goals.

AI applications, having emerged out of the laboratory, have started diffusing not just across businesses but also in normal day-to-day life. These include advanced web search engines (e.g., Google), recommendation systems (YouTube, Amazon and Netflix), understanding human speech (such as Siri and Alexa), self-driving cars (e.g., Tesla), automated decision-making and competing at the highest level in strategic game systems (such as chess and Go). Business surveys regularly rank AI as one of the most interesting and fastest-growing fields, and it is already generating yearly revenues of over a trillion dollars. One widely respected AI expert Kai-Fu Lee predicts that AI’s impact will be “more than anything in the history of mankind.”

Considering the transformative impact that AI is poised to have across all sectors, it is increasingly essential for managers to understand AI from a business perspective. Such knowledge enables them not only to apply AI solutions within their functional domains but also to identify new opportunities for solving business challenges using AI-driven tools and techniques.

The course “Artificial Intelligence for Business” has been thoughtfully designed with a balanced blend of concepts and hands-on practice. Participants will gain a solid understanding of contemporary AI techniques and the confidence to apply these tools effectively in real-world business contexts.

AI adoption has increased dramatically in the last few years as shown in the graph below –

Here are industry statistics (global reports from McKinsey, IBM, PwC, and Deloitte) that make it imperative or business managers to upskill themselves on various aspects of AI:

Adoption & Demand

• 85% of global executives believe AI will significantly change how their organisations operate in the next 3–5 years (McKinsey, 2024).
• 66% of companies have increased their training budgets specifically for AI-related upskilling.
• 75% of executives say AI skills are now critical for managerial and leadership roles (Deloitte Human Capital Trends).

Skills & Capability Gap

• Only 1 in 4 managers feel confident in their ability to use AI tools to support decision-making.
• 82% of organisations report a shortage of AI-ready business managers who can translate AI capabilities into business value (IBM Global AI Index).

Program Objectives

• To provide a theoretical and practical understanding of the broad approaches in Artificial Intelligence, inclusive of Classical AI, Machine Learning (Supervised, Unsupervised and Reinforcement Learning), Deep Learning & Foundation Models (LLMs) and AI-driven applications like recommender systems, web search, disease identification, etc.
• To provide a critical understanding of how an AI-driven business can transcend traditional levers of competitive advantage, such as economies of scale and scope, while delivering high-quality services at an unprecedented scale.
• To help participants develop an intuitive understanding of the applicability of AI tools and techniques, this approach provides a business decision-making context for each of the discussed methods.

Pedagogy

• Lectures
• Hands-on exercises using Python
• Home assignments – readings
• Case studies

Who is it for?

• Mid-level managers with 3–9 years of professional experience
• Professionals who currently have limited exposure to Artificial Intelligence
• Managers who are likely to interact with or oversee AI-driven applications in the near future
• Vertical-agnostic participants from any industry or functional background who wish to build AI literacy for business decision-making

Program Content

Total Sessions: 24; Theory Sessions: 18; Hands-On Sessions: 6; Session Duration: 75 minutes each)
Note: The instructor will prescribe multiple readings and case studies during the duration of the course.

Dr. Rajesh Natarajan V., Associate Professor – Data Science & Information Systems at IFMR GSB, Krea University, is a seasoned Data Science and Business Analytics professional with 20+ years of experience across Data Science, Data Mining, AI, and Machine Learning.

He brings rich and diverse industry expertise, having worked in roles spanning analytics and data science project delivery, product and platform development, data science consulting and research, establishing Business Analytics Centres of Excellence, and driving pre-sales and business development initiatives.

Dr. Natarajan has designed and deployed analytical solutions for global clients across a wide spectrum of industries, including Banking and Financial Services, Insurance, Retail, Healthcare, Railroads, Hospitality, and Manufacturing. He has held key positions in leading IT and technology organizations such as Cognizant Technology Solutions, Hexaware, Wipro, GE Transportation, and Tech Mahindra.

In his prior role with the Tamil Nadu e-Governance Agency, IT Department, Government of Tamil Nadu, he contributed to the design and implementation of advanced analytical solutions and data-driven policies, strengthening the state’s digital and governance capabilities.

Dr. Rajesh Natarajan combines strong academic credentials with deep industry experience, offering participants a unique blend of conceptual rigor and practical, real-world insight. In academia, Rajesh worked as an Assistant Professor with the IT & Systems Group of the Indian Institute of Management, Lucknow (IIML) and as a Visiting Associate Professor, Industrial Engineering Group, Mechanical Engineering Area of Universidad Carlos III de Madrid (UC3M), in Madrid, Spain. Rajesh has been an active researcher and has contributed 20+ articles to leading international technical conferences (IEEE ICDM, IEEE IRI, etc.)  and refereed journals.

Rajesh holds a Bachelor’s degree in Electronics Engineering (B.E. (Honours)) from the University of Bombay (Mumbai) and has completed the Fellow Program in Management (PhD in Management) from the Indian Institute of Management Bangalore (IIMB).

Program Schedule

Schedule: Two sessions of 75 minutes each every week on Sat and Sun between 7 pm and 8:15 pm.

The program starts on Sat, 12 Sep 2026 and would run for 12 weeks.  The program has a total of 24 sessions.

Delivery Mode: Live-Online through Zoom

Application and Enrollment Flow

To enroll and apply for the program, click on the button below –

The payment and enrollment happen through our enrollment and learning management website – https://lms.labinmotion.com . We offer easy installment plans for all our programs. This can help plan your cash flows. We offer an additional 5% discount on group registrations for 3 or more people from a single organisation. Please email support@labinmotion.com for group registrations, and we will guide you through the enrollment process.

Contact For Queries

Parthasarathy S
Ph. +91 9110614400
Email: partha@labinmotion.com

Connecting the Dots

AI creates impact when supported by strategic leadership. The program on Strategic Management, Leadership and Emotional Intelligence  helps you assess AI opportunities and influence adoption.

To ensure AI initiatives drive real value, the program on Customer Centricity: Driving Growth Through Customer Value  aligns insights with customer needs and growth.

Successful AI adoption also depends on teams embracing change. The program on Creating and Leading High-Performing Teams supports collaboration and capability building in AI-driven environments.