Executive Development Program: AI for Business Transformation
From Generative AI to Intelligent Agents
The program is designed to equip participants with a comprehensive understanding of how generative artificial intelligence (GenAI) is transforming the business landscape. The purpose of this course is to bridge the gap between AI theory and practical business applications, enabling participants to leverage AI tools and techniques to drive innovation, efficiency, and competitive advantage in various business domains.
Scope: This course covers a wide range of topics, including AI fundamentals, machine learning, data analytics, and their applications in marketing, finance, supply chain management, human resources, and customer service. The course also explores ethical considerations and the future impact of AI on businesses.
Content: Participants will engage with real-world case studies, hands-on projects, and AI tools to understand how AI can be applied to solve complex business problems. The course will also include guest lectures from industry experts to provide insights into current trends and practices.
Method: The course will be delivered through a blend of lectures, case studies, interactive sessions, and group discussions. Participants will work on individual and/or group projects that simulate real business challenges, providing them with practical experience in applying AI solutions.
By the end of this course, participants will have developed the knowledge and skills to apply AI in a business context, making them valuable assets in the rapidly evolving digital economy.
Across the program, participants progress from understanding Generative AI to
applying it, automating with AI agents and leading AI strategy. By the end, they will be
able to:
The Evolution of AI
- Trace the history of AI, from the Industrial Revolution to Generative AI.
- Understand what makes GenAI different and how to leverage its capabilities.
Large Language Models & Generative AI
- Explain how LLMs are trained, their capabilities and their limitations, in a manager-friendly
way. - Identify and evaluate business applications across marketing, operations, HR and finance.
- Assess the opportunities and risks of LLMs in decision-making: accuracy, bias and ethical use.
- Analyse the competitive landscape through the case study AI Wars 2025.
Prompt & Context Engineering
- Apply the key concepts and techniques of effective prompting across LLMs and AI applications.
- Optimize the use of LLMs and build a reusable prompt library.
AI for Productivity & Knowledge Work
- Produce high-quality presentations, summaries and reports faster and more effectively.
- Redesign everyday knowledge work to improve speed, clarity and decision support.
- Assess productivity gains and ensure outputs meet professional and managerial standards.
AI Agents: The Automation Layer
- Explain what AI agents are and how they differ from basic AI tools and automation.
- Identify practical use cases where agents improve workflows and decision speed.
- Evaluate the risks, governance requirements and enterprise boundaries of deploying AI
agents.
AI Strategy & Roadmap Development
- Identify high-impact AI opportunities aligned with business strategy and competitive
advantage. - Prioritize AI initiatives using feasibility, ROI and organizational readiness criteria.
- Develop a phased AI roadmap with clear milestones, ownership and governance structure.
Program Details
- 36 Hours program
- 8 weeks program
- Every Saturday class
- On-site Physical Sessions
- IBA City Campus
Raza Kazmi
Level of the Course
Intermediate to Advanced
Batch Number
9
Alumni
130
Duration
8 weeks
Registration Status
Open
Last Date to Apply
30 November 2026
Commencement
12th December 2026
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