PGDM with AI-Powered Curriculum (2024-26)

iFEEL introduces a PGDM with AI-powered curriculum, designed to equip students with cutting-edge AI knowledge and hands-on experience to enhance their industry readiness and employability. This program integrates AI applications across all specializations, ensuring that students gain practical insights into how AI is transforming business functions.

General AI Training (25 Hours) – Common for All Specializations

Students will explore AI fundamentals, including its impact on business, machine learning basics, natural language processing, AI-driven decision-making, generative AI, cybersecurity applications, business process automation, and AI tools for productivity. The curriculum includes real-world case studies and hands-on practice with various AI technologies to develop a deep understanding of their practical applications.

Specialization-Specific AI Training (25 Hours + 50 Hours of Experiential Learning)

Each specialization is designed to integrate AI-driven tools and techniques relevant to the respective domain:

  • AI in Marketing – Covers AI uses applications in digital marketing, customer segmentation, SEO, sales forecasting, personalization, ad campaign management, and chatbots for customer engagement.
  • AI in HR – Focuses on AI in talent acquisition, resume screening, employee engagement, predictive HR analytics, AI-powered training, and chatbots for HR support.
  • AI in Operations – Includes AI applications in supply chain optimization, inventory forecasting, production planning, predictive maintenance, warehouse management, and Six Sigma processes.
  • AI in Finance – Encompasses AI-driven fraud detection, stock market prediction, algorithmic trading, credit scoring, financial planning, and automated accounting.

This AI-powered approach ensures practical exposure, industry relevance, and enhanced employability for students in the evolving business landscape.

Note: As per the Advisory Board’s decision, the curriculum content may be modified and updated from time to time to align with industry advancements.Also in AI training most emphasis will be on use case of product not on technical production of Tools