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    Generative AI and Agentic AI with Business Applications
    Indian Institute Of Management Bangalore

    Generative AI and Agentic AI with Business Applications

    Indian Institute Of Management Bangalore, Bangalore
    HomeData & AIIndian Institute Of Management BangaloreGenerative AI and Agentic AI with Business Applications
    5 daysDuration
    in-personFormat
    EnglishLanguage
    Data & AITopic

    Next Available Cohort

    Choose your preferred start date

    Feb 22 - Feb 26, 2027
    5 days ยท in-person ยท Instructor-Led ยท Bangalore Campus
    Open
    $1,886

    All-inclusive program fee

    About This Program

    This course goes beyond traditional Generative AI by integrating Agentic AI - AI systems that demonstrate autonomy, goal-directed behavior, and adaptability. Unlike conventional Generative AI applications that require explicit human prompts at every step, Agentic AI enables autonomous decision-making, planning, and execution, making AI systems more dynamic and responsive. The programme is designed to spearhead and implement Generative and Agentic AI initiatives within organizations. It provides a comprehensive understanding of how to integrate these technologies into business strategies, focusing on organizational readiness, technology adoption, and ethical considerations. This course blends cutting-edge theory, hands-on implementation, and real-world applications to equip participants with the skills to build and deploy AI agents. Participants will work with frameworks such as LangGraph, Autogen, and CrewAI, and models including Deepseek, OpenAI reasoning models, Grok, Llama, and Mistral AI.

    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

    • Organizations and enterprises seeking AI-driven automation, decision-making, and operational efficiency.
    • Tech and business leaders understanding AI agents for enterprise integration and innovation.
    • Functional experts exploring AI applications in finance, marketing, cybersecurity, customer service, and more.
    • Technical architects, managers, AI practitioners, developers, and software engineers.
    • Any role or experience or industry is fine.

    Benefits

    • Design end-to-end autonomous AI agents that act, decide, and iterate without constant human intervention.
    • Build a roadmap for integrating Generative and Agentic AI into organizational workflows and infrastructure.
    • Apply RAG, prompt engineering, and fine-tuning techniques to domain-specific AI problems.
    • Structure data governance, privacy compliance, and ethical AI practices for responsible deployment.
    • Identify and prioritize high-impact AI use cases across industries including finance, healthcare, and retail.

    What You'll Learn

    • Introduction to Generative and Agentic AI: intuitive understanding of both paradigms, converting business problems into AI problems, use cases across media, marketing, finance, healthcare, and operations, and business process transformation.
    • Generative AI Fundamentals: generative models (VAEs, GANs, Diffusion Models), prompt engineering, Retrieval-Augmented Generation (RAG), instruction fine-tuning, and hands-on with LangChain.
    • Agentic AI Fundamentals: autonomous decision-making systems, planning agents, multi-agent systems (MAS), SQL agents, adaptive workflows, and applications in supply chain and customer engagement.
    • Model Development and Deployment: data preparation, feature engineering, model training and optimization, scalable deployment strategies, and API integration into existing workflows.
    • Data Governance and Ethics: data privacy, GDPR compliance, mitigating bias, addressing hallucinations, ensuring fairness, and minimizing environmental impact of large-scale AI models.
    • Building an AI-Driven Organization: team setup for AI projects, roles and responsibilities, centralized vs. distributed models, and balancing hiring with internal upskilling.
    • Use Cases and Applications: Sales and Marketing (content creation, campaign optimization), Retail and E-Commerce (personalized recommendations), Healthcare (image generation, patient data), Banking and Finance (fraud detection, credit analysis).
    • Case Studies: Generative AI for automated content creation in a media company; Agentic AI for Generative Business Intelligence (GenBI) converting natural language to reports and dashboards.

    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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