IIM Kozhikode | Professional Certificate Programme in AI for Business Strategy
IIM Kozhikode 
5 - 30 yrsAnywhere
5 - 30 yrsAnywhereFee
₹ 3,18,600 (*Incl. Taxes)
Duration
10-months
Experience
5 - 30 yrs
Delivery Method
Online
AI and Decision Making for Future Leaders
Course Detail
About the Programme:
The Professional Programme in AI for Business Strategy from IIM Kozhikode is a 10-month leadership-focused programme designed for senior professionals, CXOs, and decision-makers aiming to drive AI-led transformation within their organisations. Delivered through live online sessions and a mandatory three-day campus immersion, this programme enables participants to develop a strategic understanding of AI and its enterprise-wide applications.The programme deep dives into machine learning, natural language processing, generative AI, and domain-specific use cases across marketing, finance, operations, and HR. It emphasises how to lead and scale AI initiatives-from pilot to production-while managing organisational change, governance, and ethical considerations.
Key Features of the Programme:
- Opportunity to earn a certificate of completion from IIM Kozhikode
- Participate in a three-day in-campus immersion to experience IIM Kozhikode's high-intensity classroom environment and the scenic, sustainable campus nestled in the hills.
- Qualify for executive alumni status from IIM Kozhikode upon successful completion of all evaluation requirements.
- Build and develop products based on real-world scenarios through multiple in-course projects and assignments, and an end-of-programme capstone project.
- Curriculum developed and delivered by the esteemed IIM faculty. These lectures are not just informative but also thought-provoking, inspiring participants to think beyond conventional boundaries.
- Become proficient in applying AI for strategic decision-making, with the ability to analyze complex financial and marketing data for actionable insights.
- Understand the regulatory, ethical, and organisational challenges of AI implementation, equipping them to lead responsible AI initiatives that build trust and deliver sustainable value.
- Receive end-to-end support from dedicated cohort managers throughout the programme.
- Get access to Simplilearn's Job Assist to enhance your portfolio and explore new career prospects.
Desired Candidate Profile
Eligibility
- For Indian Participants - Graduates (10+2+3) or Diploma Holders (only 10+2+3) from a recognised university (UGC/AICTE/DEC/AIU/State Government) in any discipline.
- For International Participants - Graduation or equivalent degree from any recognised
- University or Institution in their respective country.
- A minimum of 5 years of professional experience is required.
Course Modules
Learning Path Visualization:
Business Fundamentals for the AI Age- Overview of Business Functions: Finance, Marketing, Operations, HR, Systems
- Key Business Metrics and Decision-Making Frameworks
- Business Models
- Evolution and Trends in the AI Ecosystem
- AI Technology Stack and Tooling
- Regulatory and Global Policy Landscape
- AI Investment and Talent Landscape
- Data Sourcing and Understanding
- Data Cleaning and Preprocessing
- Feature Engineering and Selection
- Data Visualisation - Traditional and Gen A
- Introduction to Machine Learning
- Supervised Learning - Classification and Regression
- Unsupervised Learning - Clustering, and Pattern Discovery
- ML Workflow and Tooling
- Introduction to NLP and Text Data
- Text Preprocessing and Feature Extraction
- Text Classification and Analysis
- Topic Modeling
- Sentiment and Emotion Analysis
- Customer Segmentation and Targeting
- Personalisation and Recommendation Engines
- Predictive Analytics for Campaign Optimisation
- Media Mix Model
- Market Basket Analysis
- Customer Lifetime Value & Cohort Analytics
- Google Analytics
- Social Listening
- Network Analytics
- Creative AI
- Case Studies
- Predictive Analytics for Credit Scoring and Risk Assessment
- Fraud Detection and Anomaly Detection
- AI in Portfolio and Wealth Management
- Case Studies: AI in Banking and Insurance
- AI in Demand Forecasting and Inventory Optimisation
- AI in Logistics and Route Optimisation
- Predictive Maintenance and Quality Control
- Process Mining and Operational Efficiency
- Supplier and Procurement Analytics
- Case Studies
- AI for Learning, Development, and Career Pathing
- Performance Management and Predictive HR Analytics
- Employee Engagement and Sentiment Analysis
- Case Studies
- Model Deployment: Cloud, On-Premise, and Hybrid Approaches
- Integrating AI Into Business Workflows
- Monitoring and Maintaining AI Systems
- Regulatory Landscape in Finance and Marketing AI
- Bias, Fairness, and Explainability in AI Models
- Building Trust and Transparency
- Generative AI and Foundation Models
- Multi-Modal and Agentic AI
- Trends in Edge AI and On-Device Intelligence
- AI + Industry 5.0 / Business Model Shifts
- End-to-End AI Solution for a Business Problem
- Project Presentation and Feedback From IIM Faculty
