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Program Dates Start Date: 09 Jun, 2025 |
Register By Early Bird: 19 May 2025 Regular: 30 May 2025 |
Pricing (Residential) Early Bird: Rs.1,30,950 Regular Fee : Rs.1,45,500 |
Pricing (Non-Residential) Regular Fee : Rs.1,18,000 Early Bird : Rs.1,06,200 |
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Mode of Delivery: In-person delivery
Case Studies – Real-life use cases; Demonstrations; Applications
Hands-on with Tools/Platform/libraries
This programme blends theory, hands-on development, and real-world applications, focusing on:
Ms. Preethi
Landline No.:+91-80-26993375
Mobile No. +91-8951974073
Email: preethi.s@iimb.ac.in
Programme Overview
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.
Key differentiators of this course:
Why Now? Setting the Context
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:
Programme Objective
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.
The objectives of the program are as follows:
Programme Content
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.
Introduction to Generative and Agentic AI:
Intuitive understanding of Generative and Agentic AI; 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 of these technologies across industries such as media, marketing, finance, healthcare, and operations; Overview of business process transformation using Generative and Agentic AI.
Generative AI Fundamentals:
Understanding generative models like Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and Diffusion Models; Applications in image and text generation, personalization, and simulation; Techniques such as Prompt Engineering, Retrieval-Augmented Generation (RAG), and instruction fine-tuning; Hands-on with frameworks like LangChain for building Generative AI applications.
Agentic AI Fundamentals:
Exploring autonomous decision-making systems; Introduction to planning agents, multi-agent systems (MAS), and adaptive workflows; Building SQL agents and understanding agent architectures; Applications of Agentic AI in supply chain optimization, resource planning, and dynamic customer engagement.
Model Development and Deployment:
Data preparation for Generative and Agentic AI; Feature extraction, feature engineering, and feature 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 considerations for Generative and Agentic AI projects; Understanding GDPR and other compliance frameworks; Ethical AI practices, mitigating bias, addressing hallucinations, and ensuring fairness; Exploring sustainability and minimizing the environmental impact of large-scale AI models.
Building an AI-Driven Organization:
Setting up teams for Generative and Agentic AI projects; Identifying roles and responsibilities for AI teams; Centralized vs. distributed organizational models for AI initiatives; Balancing fresh hires and internal training for upskilling.
Use Cases and Applications:
Key Benefits/Takeaways
The program will provide the following benefits:
Comprehensive Understanding of Generative and Agentic AI:
Gain insights into the principles, techniques, and capabilities of Generative and Agentic AI and how they transform industries and business functions.
Ability to Develop a Generative and Agentic AI Strategy:
Learn to create a robust roadmap for integrating Generative and Agentic AI into organizational workflows to drive innovation and efficiency.
Practical Knowledge of Applications Across Industries:
Understand various use cases of Generative and Agentic AI in areas like content creation, autonomous decision-making, personalization, and optimization, with industry-specific examples.
Expertise in Data Governance and Team Building:
Develop strategies for data governance, including privacy, security, and compliance, while understanding how to build and structure teams to lead Generative and Agentic AI initiatives effectively.
Framework for Developing and Deploying AI Solutions:
Master the end-to-end process of building deployable Generative and Agentic AI solutions, from problem identification and model development to deployment and scaling.
Focus on Ethical, Responsible, and Sustainable AI:
Learn about responsible AI practices, mitigating biases, ensuring fairness, and addressing environmental impact to implement AI solutions that align with organizational values and societal needs.
Programme Directors
Dr Dinesh Kumar has published more than 60 research articles in leading academic journals. Twenty eight of his case studies on Business Analytics based on Indian and multinational organizations such as Aavin Milk Dairy, Apollo Hospitals, Bigbasket, Bollywood, Flipkart.com, Hewlett and Packard, Larsen & Toubro, Manipal Hospitals, Mission Hospital, Hindustan Aeronautics Limited, Indian Premier League, Reliance Retail, Shubham Housing Finance Limited and VMWare have been published at the Harvard Business Publishing’s case portal. He has authored 3 books, his recent book is titled, “Business Analytics – The Science of Data Driven Decision Making”, published by Wiley in 2017.
Dr Dinesh Kumar has carried out predictive and prescriptive analytics consulting projects for organizations such as The Boston Consulting Group (India) Private Limited, Hindustan Aeronautics Limited, Qatar Airways, Mission Hospital, Manipal Hospitals, Scalene Works, Wipro Limited, UNIBIC and the World Health Organization etc.
Dr Dinesh Kumar has conducted training program on Analytics for several companies such as Accenture, Aditya Birla Group, Ashok Leyland, Bank of America, Blue Ocean Market Intelligence, Cisco, Fidelity, Hindustan Aeronautics Limited, Honey Well, Infosys, ITC Info Tech, Ocwen financial Services and etc
Dr Dinesh Kumar conducts corporate training programme in Analytics and trained more than 1000 professionals in the field of analytics. He is the founding president of the Analytics Society of India (ASI). Dr Dinesh Kumar was awarded the Best Young Teacher Award by the Association of Indian Management Institutions in 2003. He is listed as one of the top 10 analytics academics in India by the analytics India magazine.
Naveen Kumar Bhansali, Adjunct Professor at IIM Bangalore
Industry Experience:
Training and Institutional Experience:
Programme Fee
INR 1,45,500/- Residential and INR 1,18,000/- Non -Residential (+ Applicable GST) per person for participants from India and its equivalent in US Dollars for participants from other countries.
Early Bird Discount
Nominations received with payments on or before 19-May-25 will be entitled to an early bird Discount of 10%.
Early Bird Fee (Residential) INR 1,30,950/-(+ Applicable GST)
Early Bird Fee (Non-Residential) INR 1,06,200/-(+ Applicable GST)
Group Discount
Group Discount of 5% percentage can be availed for a group of 3 or more participants when nominations received from the same organization.
Please Note
Note: Certificate image is for reference to potential participants only and may change at the discretion of Executive Education Programmes Office
