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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

    Jul 13 - Jul 17, 2026
    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. This is designed to spearhead and implement Generative and Agentic AI initiatives within their organizations. The course provides a comprehensive understanding of how to integrate these transformative technologies into business strategies, focusing on organizational readiness, technology adoption, and ethical considerations. Generative AI has revolutionized content creation, but its true potential lies in autonomy - where AI can act as an agent, not just a tool. With advancements in LLMs, prompt chaining, and AI orchestration frameworks, businesses are shifting towards AI-driven autonomous workflows. Now is the time to bridge the gap between static generative AI models and dynamic agent-based AI systems. This course will prepare participants to: Build, fine-tune, and deploy agentic AI models; integrate AI agents with enterprise applications; understand the ethical and governance challenges of autonomous AI. This programme blends theory, hands-on development, and real-world applications, focusing on: Autonomous AI Agents - building AI systems that operate with minimal human intervention; Enterprise Use Cases - AI in automation, RAG-based search, customer interactions, and cybersecurity; Ethical and Governance Considerations - ensuring responsible AI deployment.

    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 and managers.
    • AI practitioners and developers.
    • Software engineers and developers.
    • Any role or experience or industry is fine.

    Benefits

    • Design AI agents that act independently, make decisions, and iterate without constant human intervention.
    • Build and deploy end-to-end agentic AI solutions using frameworks such as LangGraph, Autogen, and CrewAI.
    • Create a roadmap for integrating Generative and Agentic AI into organizational workflows and infrastructure.
    • Identify high-impact use cases across sales, retail, healthcare, and banking and develop frameworks to prioritize them.
    • Apply responsible AI practices covering bias mitigation, fairness, data privacy, and environmental impact.

    What You'll Learn

    • Introduction to Generative and Agentic AI: intuitive understanding; relationship between traditional AI, Generative AI, and Agentic AI; converting a business problem into a Generative/Agentic AI problem; framework for problem-solving using Generative and Agentic AI; use cases across media, marketing, finance, healthcare, and operations; overview of business process transformation using Generative and Agentic AI.
    • Generative AI Fundamentals: generative models (VAEs, GANs, Diffusion Models); applications in image and text generation, personalization, and simulation; Prompt Engineering, RAG, and instruction fine-tuning; hands-on with LangChain.
    • Agentic AI Fundamentals: autonomous decision-making systems; planning agents, multi-agent systems (MAS), and adaptive workflows; SQL agents and agent architectures; applications in supply chain optimization, resource planning, and dynamic customer engagement.
    • Model Development and Deployment: data preparation; feature extraction, engineering, and selection; model training and optimization; deployment strategies for scalable Generative and Agentic AI applications; using APIs and tools to integrate AI into existing workflows.
    • Data Governance and Ethics in Generative and Agentic AI: data privacy, security, and quality; GDPR and other compliance frameworks; ethical AI practices, bias mitigation, addressing hallucinations, fairness; sustainability and minimizing environmental impact of large-scale AI models.
    • Building an AI-Driven Organization: setting up teams; roles and responsibilities; centralized vs. distributed organizational models; balancing fresh hires and internal training for upskilling.
    • Use Cases and Applications: Sales and Marketing (content creation, campaign optimization, customer engagement, personalization); Retail and E-Commerce (personalized product recommendations and personalized design studios); Healthcare (image generation, patient data summarization, automated analysis); Banking and Finance (fraud detection, report generation, 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

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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.

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