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An execution-first Professional Certificate Programme in AI by IIM Kozhikode, with a Generative and Agentic AI-focused curriculum, designed to enable business professionals to apply AI effectively within their domain.
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The question is “How fast can I start using it in my domain?”
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Too Technical to Apply
Too Theoretical to Use
Tool Overload Without Clarity
No Domain Relevance
No Clear Outcome
IIM Kozhikode Programme
Built for business professionals - no coding, practical and accessible
Hands-on, application-driven learning in real business contexts
Structured approach - learn what to use, when, and how
Domain-specific learning across Marketing, Finance, Ops, HR, etc.
Apply and deploy AI in your own role or domain to drive measurable business impact
Other Courses
Built for engineers - heavy coding, ML, and technical depth
Concepts and frameworks without real application
Exposure to multiple tools without knowing when or why to use them
Generic content not aligned to your function or role
Ends with knowledge, not real capability
Built for the Business Professional, Not the Engineer
AI in Business-From Foundations to Execution
AI & Machine Learning Foundations
Module 1
4 weeks
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
Skills
AI-Literacy
Forecasting
Data Strategy
Feature Engineering
Decision-Making
Data Governance
Data Privacy
Generative AI and Agentic AI
Module 2
4 Weeks
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
Skills
Generative AI
Agentic AI
Prompting
Automation
LLM
Vendor Assessment
Data Rights
IP Ownership
Risk Management
AI Across Business Functions: Opportunity Discovery
Module 3
4 Weeks
Topics covered
Course 1: Organizational AI Maturity Assessment
Course 2: AI Across Functions - 50+ 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
Skills
Data Readiness
Governance Readiness
Opportunity Prioritization
Workforce-Planning
AI Strategy
Change-Readiness
AI Business Transformation
AI Strategy Design and Governance
Module 4
4 Weeks
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
Skills
Strategic Thinking
ROI Modelling
Agentic AI Governance
AI Ethics
AI regulatory Compliance
Risk Mitigation
Decision Making
Industry Specific Regulations
AI Implementation and Pilot Execution
Module 5
4 Weeks
Deliverables
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 & Tool Selection · Wk 18 → Core Build & Implementation · Wk 19 → Testing, Feedback & Iteration · Wk 20 → Pilot Results Documentation
Skills
AI Pilot Design
AI MVP
Resource Planning
Prompt Engineering
RAG
Multimodal Prompting
Workflow Automation
Tool Integration
AI Product Management
Platform Selection
Measuring Impact, Scaling AI, and Organizational Transformation
Module 6
4 weeks
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
Skills
ROI-Measurement
Data-Storytelling
Stakeholder Communication
Scaling Strategy
Performance Management
Change Management
Operating Model Design
FinOps
Scaling AI Agents
AI Project : Capstone
2 weeks
Topics covered
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
Skills
Business Storytelling
Problem Solving
Stakeholder-Alignment
Executive-Presentation
Persuasion
Strategic Recommendation
Build & Deploy Your AI Project for Real-World Impact: A tangible proof of AI Readiness
Turn Every Module into a Strategic Plan for Your Organization & Domain
Domain
Focused
Built Across
6 Months
Real-World
Application
Choose Your Domain - Work on a real problem from your function (Marketing, Finance, Ops, HR, etc.)
Build Across 6 Months - Develop your AI project step-by-step through every module
End-to-End AI Application - From use cases and AI selection (GenAI, Agentic) to execution
Pilot, Measure & Refine -Implement a real AI solution and track performance & ROI
Scale & Present Your Project - Create a deployment plan and present your outcomes to experts

*Case studies are indicative and may change. All product and company names are trademarks of their owners; use does not imply affiliation or endorsement.
A Lifelong Credential from India’s NIRF #3 IIM
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 achieve a minimum of 50% overall score across evaluations and complete all the programme modules successfully.

1
Immersion Highlights
AI Strategy Case Competition - Solve a live business challenge in teams
Capstone Presentations - Present your AI solution to an industry panel
AI Tool Immersion Lab - Hands-on experience with real AI tools
Agentic & Multimodal AI - Build and apply advanced AI use cases
Governance Crisis Simulation - Respond to a live AI incident under time pressure
Faculty & Industry Masterclasses - Learn from top experts
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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.
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.
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Videos from top faculty and world-class industry experts
Industry-oriented projects for real AI & ML exposure
Live interventions from experts
Real time doubt clearing sessions
Reserve your seat
Eligibility
Eligibility
Bachelor’s degree with a minimum of 3 years of work experience.
Talk to our experts. We are available 7 days a week, 10 AM to 7 PM
Indian Nationals
Foreign Nationals
The above statistics depend on various factors and individual results may vary. Past performance is no guarantee of future results.
The student assumes full responsibility for all expenses associated with visas, travel, & related costs. upGrad does not .