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    Artificial Intelligence for Senior Leaders
    Indian Institute Of Management Bangalore

    Artificial Intelligence for Senior Leaders

    Indian Institute Of Management Bangalore, Bangalore
    HomeData & AIIndian Institute Of Management BangaloreArtificial Intelligence for Senior Leaders
    3 daysDuration
    in-personFormat
    EnglishLanguage
    Data & AITopic

    Next Available Cohort

    Choose your preferred start date

    Jun 8 - Jun 10, 2026
    3 days ยท in-person ยท Instructor-Led ยท Bangalore Campus
    Open
    $1,383

    All-inclusive program fee

    About This Program

    For senior leaders, the challenge is no longer understanding what AI is but determining how it can be deployed to create sustainable competitive advantage. This program is designed to provide executives with a rigorous framework to integrate AI into corporate strategy, develop business and lead a data-driven culture that scale. AI is used to drive: Innovation, Automation, Intelligence and Insights, and Agents. Sophistication in AI is expected to be the main differentiator between high performing companies and low-performing companies. The use of AI and its components such as statistical, machine and deep learning algorithms are expected to increase the stakeholder value and customer experience and satisfaction. The algorithmic aspects of AI are available readily through many sources; however, many companies still struggle to integrate AI into their organizational structure. The program covers the organizational journey of AI transformation, data governance, data preparation for analytic model building and descriptive, predictive and prescriptive analytics. The program will be driven by use cases from different domains, with focus on strategic issues of AI with limited focus on hands-on experience.

    Why Indian Institute Of Management Bangalore?

    IIM Bangalore occupies a position in Indian management education that no other institution quite replicates โ€” a school shaped by a post-Independence nation-building mandate that has since grown into one of Asia's most respected research and leadership institutions. Its executive education programs draw participants from across India's most consequential industries, from Bengaluru's technology corridor to Mumbai's financial sector, and bring them into contact with faculty who are as likely to be publishing in top-tier academic journals as advising a government ministry.

    Your Profile

    • Leaders with at least 10 years of experience who are either working in the field of AI or planning to set up an AI team.
    • Managers and senior leaders who are currently leading or are likely to lead AI initiatives in the organization.

    Benefits

    • Understand AI and its components.
    • Develop an AI initiation strategy for the organization.
    • Understand various AI techniques and their applications across different functional areas and sectors.
    • Understand data governance and how to set up an AI team within the organization.
    • Learn the framework of developing deployable solutions using AI.

    What You'll Learn

    • Introduction to AI, ML, Statistical Learning, and Deep Learning: intuitive understanding of AI and Gen AI, relationship between AI/ML/SL/DL, converting business problems into analytics problems, use cases across functional areas, and business process automation.
    • Machine Learning: supervised, unsupervised, and reinforcement learning algorithms; AI/ML model development covering feature extraction, engineering, selection, and deployment.
    • Descriptive, Predictive, and Prescriptive Analytics: storytelling with data, regression and logistic regression models, linear programming, and multi-criteria decision making.
    • Generative and Agentic AI: roadmap for integrating Gen AI and Agentic AI, data governance and infrastructure requirements, principles of generative AI including content creation and personalization, and autonomous multi-agent systems.
    • Cases: Package Pricing at Mission Hospital; Improving Sales Conversion at Eureka Forbes using Machine Learning Algorithms.
    • Setting up an AI team: choosing the right team, roles and responsibilities, centralized vs. distributed organizational models, key skill sets, and fresh hire vs. internal training.
    • Analytics Technology Landscape: choosing the right tools and platforms for development and deployment of AI-based solutions.
    • Data Governance: Data Governance Framework; Data Privacy, Security, Quality and Responsibility; Digital Personal Data Protection (DPDP).
    • AI Deployment across functions: sales and marketing opportunity and conversion, channel optimization, supply chain analytics, retail assortment planning, and banking credit rating.

    Frequently Asked Questions

    How to Apply

    1. 1

      Check your eligibility

      Review the entry requirements listed on this page. Most executive programs require 8โ€“15 years of professional experience.

    2. 2

      Compare programs

      Use Gradia's comparison tool to evaluate up to 3 programs side-by-side on fees, duration, format, and accreditation.

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    3. 3

      Contact the school

      Send a message directly to Indian Institute Of Management Bangalore via Gradia to request a brochure or speak with an admissions advisor.

    4. 4

      Prepare your application

      Gather your CV, reference letters, and any required test scores. Many EMBA programs waive standardised tests for senior candidates.

    5. 5

      Submit your application

      Apply directly through Indian Institute Of Management Bangalore's official application portal.

      Apply now โ†’

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