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DBA
Education
CXO
MBA
Data Science and Analytics
Machine Learning and AI
Management
Accounting and Finance
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AI-led yield, energy, and maintenance optimization across 50+ models in blast furnaces and mills.
IIM Kozhikode Strategic AI for Business Professionals - Leadership for an AI-First World
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TypeCertificate
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Start DateSeptember 30, 2026
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Duration6 Months
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- #69 globally (FT) and #3 Management in India (NIRF)
IIM Kozhikode: Legacy That Nurtures Excellence
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A Premier IIM Institution: Established in 1996, IIM Kozhikode is one of India’s leading management institutes, known for academic excellence, innovation, and its strong focus on developing future-ready professionals. -
Top-Ranked in India & Globally Recognized: Ranked 3rd in India’s top B-schools by NIRF, IIM Kozhikode is consistently recognized for its academic rigor, industry relevance, and global outlook.
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Driving Real-World Business Impact : With a strong emphasis on practical learning, leadership development, and industry integration, IIM Kozhikode prepares professionals to solve complex business challenges and drive meaningful impact.
Designed for Business Leaders Using AI to Drive Decisions and Outcomes
No coding required. Built for business leaders.
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Business Leaders, Product, Strategy & Growth Leaders
Responsible for business outcomes, team performance, and strategic decisions, looking to lead AI adoption to drive efficiency and growth
Functional Leaders - Marketing, Finance, Operations, HR, Sales
Leaders across functions who want to integrate AI into core workflows, decision-making, and business execution
Consultants & Client Professionals
Those looking to apply AI-driven solutions in client engagements, business problem-solving, and strategic advisory - to add tangible, differentiated value
Business & Strategy Professionals
Influence business direction and planning -looking to leverage AI for insights, decision-making, and organizational impact
Most AI programmes teach concepts. This one prepares leaders how to act on them.
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90 hrs Blended & Flexible learning
Learn from IIMK faculty & active CXOs
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IIMK AI Immersion & Networking
Senior leadership cohort
GenAI & Agentic AI integrated
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Enterprise AI Strategy & Execution
Certification: IIM Kozhikode
Credential from India's #3 ranked IIM, NIRF 2026
- Assessment Approach: Participants are evaluated through continuous assessments, including quizzes, course-level evaluations, and applied projects designed to reinforce learning and real-world application.
- Weightage Distribution: Capstone Project and Graded course-level assessments.
- Certification: IIM Kozhikode will award a Certificate of Successful Completion to participants who will successfully complete all the programme modules and assesments.
Programming Languages and Tools Covered
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The Complete Curriculum
What you will lead - not just learn
Topics Covered
- Course 1: The AI Landscape - From Rules to Intelligence
- Course 2: Machine Learning in Business - Proven Applications
- Course 3: Data as the Foundation
- Workshops: AI Use Case Identification Workshop: Mapping business problems to AI solution types
- Workshops: Data Readiness Reality Check: Assessing your organization's data maturity
- Deliverables: (AI Dossier Chapter 1 - AI Opportunity Scan): Wk1 -AI Technology Decision Tree · Wk 2 → ML Use Case Mapping (your org) · Wk 3 → Data Readiness Scorecard · Wk 4 → Integrated Opportunity Scan
Topics Covered
- Course 1: Large Language Models - How They Work and Why It Matters
- Course 2: Multimodal AI - Beyond Text
- Course 3: Agentic AI - From Copilots to Autonomous Systems
- Course 4: Vendor Landscape and Risk Management
- Workshops: GenAI Security Deep-Dive: Key security considerations and risk management approaches in GenAI systems
- Workshops: Vendor Evaluation Workshop: Structured approaches for evaluating AI vendors and making informed selection decisions
- Deliverables: (AI Dossier Chapter 2 - Technology Assessment): Wk 5 → LLM Evaluation Matrix (your use cases) · Wk 6 → Multimodal AI Applicability Map · Wk 7 → Agentic AI Use Case Identification · Wk 8 → Vendor Evaluation Scorecard
Topics Covered
- Course 1: Organizational AI Maturity Assessment
- Course 2: Find the highest-value AI opportunities across function - Marketing, Finance, HR, Operations, etc.- 20+ Use Cases That Drive Value
- Course 3: Competitive Intelligence and Workforce Strategy
- Workshops: AI Maturity Self-Assessment Workshop: Structured approach to assess organizational AI readiness and identify key improvement areas
- Workshops: Opportunity Portfolio and Workforce Mapping: Framework to identify, prioritize, and align AI opportunities with business goals and workforce impact
- Deliverables: (AI Dossier Chapter 3 - Opportunity Portfolio): Wk 9 → AI Readiness Self-Assessment · Wk 10 → Functional Use Case Portfolio · Wk 11 → Competitive AI Landscape Scan · Wk 12 → Opportunity Prioritization Matrix
Topics Covered
- Course 1: Strategic Planning and Business Case Development
- Course 2: Governance and Responsible AI
- Course 3: Regulatory Compliance and Architecture Decisions
- Workshops: Business Case Development Lab: Structured approach to build and validate a robust business case for AI initiatives
- Workshops: Governance Framework Design: Designing governance structures and responsible AI practices for effective oversight
- Deliverables: (AI Dossier Chapter 4 - Strategy & Governance Framework): Wk 13 → AI Business Case (financial model) · Wk 14 → Governance Operating Model · Wk 15 → Regulatory Risk Assessment & Compliance Checklist · Wk 16 → Integrated Strategy & Governance Plan
Topics Covered
- Course 1: Pilot Design and Execution
- Course 2: Prompt Engineering and RAG
- Course 3: Agentic Implementation and AI Product Management
- Workshops: Pilot Kickoff Workshop: Guidance on planning, scoping, and initiating AI pilot projects effectively
- Workshops: Prompt Engineering Lab: Practical introduction to designing and refining prompts for real-world AI applications
- Deliverables: (AI Dossier Chapter 5 - Pilot Results & Lessons Learned): Wk 17 → Pilot Scope & ToImplementationol Selection · Wk 18 → Core Build & · Wk 19 → Testing, Feedback & Iteration · Wk 20 → Pilot Results Documentation
Topics Covered
- Course 1: Performance Measurement and Value Demonstration
- Course 2: Stakeholder Communication and Scaling Decisions
- Course 3: Production Scaling and Organizational Transformation
- Workshops: ROI Presentation Lab: Document outcomes and communicate the value of AI initiatives effectively
- Workshops: Scaling Strategy Workshop: Framework for planning the scale-up of AI initiatives with the right operating model and adoption approach
- Deliverables: (AI Dossier Chapter 6 - Scaling Strategy) Wk 21 → ROI Analysis & Metrics Framework · Wk 22 → Executive Stakeholder Deck · Wk 23 → Production Scaling Plan (incl. FinOps) · Wk 24 → Change Mgmt & Adoption Playbook
Topics
- Capstone Kickoff and Structure Review
- Strategy Document Workshop
- Presentation Dry Run with Executive Panel
- Final Preparation and Submission
- Deliverables: AI Strategy Document and Executive Presentation
Experts Shaping the Programme
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Faculty and Industry Experts
Krishnan TN
Professor, Programme Director
Department of Decision Sciences and Operations Management. With over 20 years of experience in teaching, research, consulting, and executive education, he specialises in business analytics, predictive modelling, statistical learning, and data-driven decision-making. He is a recipient of the Emerald Literati Award 2019, has undergone executive training at Harvard Business School, and has taught more than 5,000 executives across analytics-focused programmes. He has also co-authored books on applied statistics, forecasting, and predictive analytics, and has published extensively in leading international journals in statistics, analytics, and operations research.
Prof. Mohammed Abdulla
Associate Professor, Programme Director
Department of Information Systems. With a PhD and M.E. from Indian Institute of Science, he specialises in machine learning, multi-criteria decision making, and information systems. His experience spans academia and industry, including roles as Assistant Professor in Avionics at Indian Institute of Space Science and Technology and as a Researcher in General Motors R&D. He has published research on reinforcement learning, decision-making algorithms, cloud systems, and low-code/no-code technologies, and serves on the Technical Core Committee of the Kerala State IT Mission.
Dr. Aniket Mhala
CAIO/CTO- AI Strategist & Technology
A veteran AI and innovation leader with nearly three decades of experience in digital transformation, enterprise data strategy, and emerging technologies. He currently leads innovation initiatives focused on AI, multi-cloud, and agentic systems, while also advising organisations and universities on responsible AI adoption and governance.
Srikanta Mukherjee
Chief Technology Officer
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An experienced technology and business transformation leader with deep expertise in enterprise AI, digital strategy, and large-scale technology implementation. He has worked extensively at the intersection of business and technology, helping organisations translate emerging technologies into measurable business outcomes.
Sandeep K
Chief AI, Data & Analytics Officer
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An AI engineer and full-stack developer known for building practical AI-powered products across healthcare, web, and enterprise systems. His work spans generative AI, agentic systems, image search, and AI application development, with a strong focus on shipping scalable solutions quickly and effectively.
2-day IIM Kozhikode Campus Immersion: Where strategy meets the people who execute it
Immersion Highlights
- Leadership cohort networking - The relationships built across industries, functions and organisations
- Faculty & Industry Masterclasses - Learn from top experts
- Leadership Capstone Presentation - Present your AI solution to an industry panel
- AI Strategy Case Competition - Solve a live business challenge in teams
- Governance Crisis Simulation - Respond to a live AI incident under time pressure
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AI Leadership outcomes: What you will be able to do as a leader
Own AI strategy for your function or business
Lead AI transformation initiatives from pilot to scale
Evaluate and challenge vendor AI claims
Make smarter & faster decisions using the right AI tools
Build and lead AI-ready talent your organization needs
Govern AI ethically and responsibly while building board-level trust
Who Can Apply
Our Admission Process
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Eligibility
Bachelor’s degree with a minimum of 3 years of work experience.
Submit Application
Submit your application on upgrad.com. The admissions committee will review your application details.
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Receive Offer Letter
Once shortlisted, you will receive an offer letter.
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Reserve Your Seat
Upon receiving the offer letter, you can proceed to confirm your candidature by paying the block amount.
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Learner Support
Available from 9 AM to 8 PM GMT (Monday - Friday)
Phone Number
Mail us
*All telephone calls will be recorded for training and quality purposes.
*If we are unavailable to attend to your call, it is deemed that we have your consent to contact you in response.
By proceeding, you agree to receive communication from and on behalf of Golden Gate University and upGrad (or its affiliates) about this program and other relevant programs.
*If we are unavailable to attend to your call, it is deemed that we have your consent to contact you in response.
By proceeding, you agree to receive communication from and on behalf of Golden Gate University and upGrad (or its affiliates) about this program and other relevant programs.
