Build a strong foundation across key business functions—Finance, Marketing, Operations, HR, and Systems. Understand essential business metrics, decision-making frameworks, and modern business models to identify where AI can deliver measurable value and transform enterprise decision-making.

Gain a strategic overview of the AI ecosystem, from key technology stacks and tools to policy shifts and regulatory developments across regions. Understand investment patterns and the evolving AI talent landscape to align organizational capabilities with emerging AI opportunities.

Master the end-to-end data pipeline for effective AI-driven decision-making. Learn how to source, clean, and preprocess data, engineer meaningful features, and select the right variables. Enhance decision clarity with impactful data visualizations using both traditional tools and generative AI, turning raw data into actionable business insights.

Understand the fundamentals of machine learning and its application in business decision-making. Explore supervised and unsupervised learning techniques—such as classification, regression, and clustering—for pattern discovery. Gain insight into the ML workflow, tools, and how to integrate them effectively into strategic initiatives.

Explore how Natural Language Processing (NLP) transforms unstructured text into strategic insights. Learn key steps like text preprocessing, feature extraction, classification, and topic modeling. Apply sentiment and emotion analysis to decode customer feedback, market trends, and stakeholder sentiment for informed, AI-driven decisions.

Unlock AI’s potential in marketing by mastering customer segmentation, personalization, and predictive analytics. Use tools like recommendation engines, media mix modeling, and market basket analysis. Analyze CLV, cohorts, social signals, and networks. Leverage Google Analytics and creative AI to optimize strategy—supported by real-world case studies for impact.

Leverage predictive analytics for smarter credit scoring and risk assessment. Detect fraud and anomalies in real time using AI-driven models. Explore how AI transforms portfolio and wealth management strategies. Deep-dive into case studies from banking and insurance to understand real-world financial applications of AI.

Harness AI to optimize demand forecasting, inventory, logistics, and routes for greater efficiency. Enable predictive maintenance and quality control to reduce downtime and defects. Use process mining and supplier analytics to streamline operations and procurement. Explore case studies demonstrating AI’s impact on supply chain and operational performance.

Use AI to transform workforce strategy through smarter learning, development, and career pathing. Enhance performance management with predictive HR analytics and uncover insights through employee engagement and sentiment analysis. Explore real-world case studies that showcase how AI drives impact across the talent lifecycle.

Learn how to deploy AI models using cloud, on-premise, or hybrid approaches aligned with enterprise needs. Integrate AI into core business workflows for seamless decision-making. Understand best practices for monitoring, maintaining, and scaling AI systems to ensure reliability, performance, and long-term impact.

Navigate the evolving regulatory landscape in finance and marketing AI. Address critical concerns around bias, fairness, and explainability in AI models. Learn how to build trust and transparency in AI systems, ensuring responsible and ethical deployment aligned with stakeholder expectations and compliance standards.

Stay ahead with the latest in AI innovation—explore generative AI, foundation models, and the rise of multi-modal and agentic AI systems. Understand how Edge AI and on-device intelligence are transforming real-time decision-making. Examine the convergence of AI and Industry 5.0 to unlock new business models and competitive advantage.

Apply your learning to solve a real-world business problem using an end-to-end AI solution—from data to deployment. Showcase your strategic and technical approach in a final project presentation, receiving detailed feedback from IIM faculty to refine your thinking and maximize business impact.