Programme Overview

Generative AI (Gen AI) is reshaping enterprises by revolutionizing operations, decision-making, and customer engagement. Businesses must now move beyond experimentation to enterprise-scale AI adoption, where custom AI solutions, open-source models, and data security play a crucial role.

This program provides managers and business leaders with practical strategies to implement, integrate, and scale Gen AI applications across business functions. Participants will gain insights into deploying their own foundation models, leveraging open-source AI frameworks like DeepSeek, LLaMA, and Falcon, and ensuring data security and compliance while integrating AI into their organization.

Covering enterprise AI strategy, LLMs, predictive analytics, and cloud-based AI solutions (Google Cloud, Azure AI, AWS Bedrock), this program bridges the gap between AI technology and business strategy, enabling participants to develop AI-driven competitive advantages.

Programme Objective
  • Enterprise AI Strategy & Deployment Learn how to scale Gen AI from isolated pilots to enterprise-wide applications, ensuring business alignment.
  • Leveraging Foundation Models & Open-Source AI Explore DeepSeek, GPT-4, Claude, LLaMA, Falcon, and the advantages of developing proprietary AI models.
  • Implementing AI with Data Security & Compliance Understand secure AI deployment, data governance, privacy regulations, and ethical AI practices.
  • Optimizing Business Operations with AI Apply AI-driven automation, predictive analytics, and decision intelligence to improve efficiency and decision-making.
  • Deploying AI on Leading Cloud & On-Prem Platforms Navigate Google Cloud, Azure AI, AWS Bedrock, and open-source AI architectures for enterprise implementation.
  • Driving AI Adoption & ROI Develop a structured roadmap for AI integration, maximizing business impact while ensuring regulatory and ethical compliance.
Key Topics
  1. AI and ML Fundamentals for Enterprise AI
    • Core principles of AI, machine learning, and LLM architecture for business applications.
  2. Predictive Analytics & AI-Driven Decision Intelligence
    • Leveraging AI for forecasting, business intelligence, and data-driven decision-making.
  3. AI in Marketing & Customer Engagement
    • Using LLMs for hyper-personalization, sentiment analysis, and AI-driven content generation.
  4. Unsupervised Learning & AI-Driven Insights
    • Identifying patterns, customer segmentation, and fraud detection using unsupervised learning.
  5. Building & Deploying Proprietary Foundation Models
    • Developing custom enterprise-grade AI models using DeepSeek, LLaMA, Falcon, and open-source LLMs.
  6. Enterprise AI Strategy & Deployment
    • Scaling Gen AI from pilots to full-scale enterprise-wide AI adoption.
  7. AI Automation & Workflow Optimization
    • Implementing AI-driven process automation, document processing, and intelligent decision-making.
  8. Navigating Google Cloud, Azure AI, AWS Bedrock & Open-Source AI Deployment
    • Comparing cloud-based and on-prem AI solutions for scalable enterprise applications.
  9. Data Security, Privacy & Ethical AI Deployment
    • Ensuring compliance, bias mitigation, and secure AI adoption in enterprise environments.
  10. AI Governance & ROI Optimization
    • Best practices for measuring AI success, mitigating risks, and aligning AI with business goals.
Programme Directors
Professor Saravana Jaikumar L.

Professor Saravana Jaikumar L.

Marketing

Who May Attend

This program is tailored for mid-to-senior professionals looking to deploy enterprise-level Gen AI solutions, leverage open-source AI, and ensure AI-driven business success.

  • C-Suite Executives (CEOs, CTOs, CIOs, COOs, CMOs) Business leaders looking to scale AI across their organization and drive enterprise-wide transformation.
  • AI Strategy & Digital Transformation Leaders Professionals overseeing AI integration, customer experience, and business intelligence.
  • Data Science & AI Innovation Heads Leaders developing and deploying custom AI models and AI-driven decision frameworks.
  • Enterprise IT & Cloud Architects Those working on Gen AI deployment, cloud AI solutions, and AI security.
  • Marketing, Product, and Customer Experience Heads Managers implementing AI-driven content generation, automation, and AI-enhanced consumer insights.
  • Operations, HR, and Supply Chain Professionals Decision-makers aiming to enhance workflows and automate key business functions using AI.
  • Tech Entrepreneurs & AI Startups Founders looking to develop AI-powered products, optimize operations, and scale AI adoption.

This MDP provides the strategic and operational knowledge needed to implement AI at an enterprise level, ensuring practical and scalable Gen AI adoption.

Programme Duration and Delivery
  • From the morning of November 24, 2025 till the afternoon of November 28, 2025
  • Face to face - classroom based
Pedagogy

This program combines interactive case studies, real-world AI applications, and hands-on exercises, ensuring participants can apply Gen AI in enterprise settings. The approach includes:

  • Case Studies & Industry Insights AI adoption strategies from leading enterprises.
  • Expert-Led Discussions Insights from AI thought leaders, industry practitioners, and data scientists.
  • AI in Action Real-world examples of businesses leveraging AI to drive efficiency, customer engagement, and innovation.
How to Apply
  • You can apply/nominate your personnel by clicking on the Apply Now link corresponding to the particular MDP, as appearing on our online calendar available at:
  • Once the candidature(s) is (are) approved, the sponsoring authority or participant (in case of self-nomination) will be intimated over email along with a Proforma Invoice seeking programme fees in advance.
  • Programme fees can be remitted online through Electronic Fund Transfer (NEFT/RTGS).
  • Upon remitting the fees online, kindly intimate Executive Education Office with the UTRNo. /relevant transaction details through email, so that we can connect your remittance to your nomination(s). Please note that confirmation of participation is subject to receipt of Programme fees by CMDP Office before commencement of the MDP.

For further assistance, please connect with:

Name: Ms. Payel Majumder
Number: +91 33 7121 6012
Email ID: program_mdp[at]iimcal[dot]ac[dot]in

Programme Brochure
MDP Brochure