Skip to content

PDC in AI : In Business strategies & Application


Today artificial intelligence or AI has a profound impact on business strategies. AI is already disrupting virtually every business process in every industry.

As organizations increasingly navigate the digital landscape, understanding how to harness the potential of AI has become a strategic imperative. Whether you’re a business leader, decision-maker, or working professional looking to stay ahead in the AI revolution, this program offers a strategic roadmap.

Course Aim:

The aim of the “AI in Business: ( Strategies and Applications” Post doctoral training program is to equip participants with a comprehensive understanding of artificial intelligence (AI) and its strategic applications in the business domain. The course further aims to empower professionals, decision-makers, and business leaders with the knowledge and skills needed to formulate effective AI strategies, implement AI projects, and navigate the evolving landscape of AI technologies. Participants will gain insights into leveraging AI to drive business value, enhance customer experiences, optimize operations, and stay ethically and legally compliant. By the end of the course, participants would be well-prepared to harness the transformative power of AI, positioning their organizations for success in an AI-driven future.

Lesson 1: Introduction to AI in Business

  • Overview of AI and its impact on businesses
  • Key concepts and terminologies
  • Historical evolution of AI in business

Lesson 2: Business Value of AI

  • Understanding the strategic importance of AI
  • ROI analysis for AI implementation
  • Case studies on successful AI integration

Lesson 3: AI Technologies Overview

  • Deep dive into AI technologies: Machine Learning, NLP, Computer Vision
  • Exploring their applications in business contexts

Lesson 4: Developing an AI Strategy

  • Crafting a tailored AI strategy for business
  • Aligning AI with organizational goals and values

Lesson 5: Data and AI

  • Importance of quality data for AI
  • Data collection, storage, and preprocessing for AI applications

Lesson 6: AI Ethics and Responsible AI

  • Ethical considerations in AI applications
  • Implementing responsible AI practices

Lesson 7: AI Implementation Challenges

  • Identifying and overcoming common challenges
  • Mitigating risks during AI adoption

Lesson 8: Industry-specific AI Applications

  • Case studies and examples of AI in various industries
  • Tailoring AI strategies for specific business sectors

Lesson 9: AI and Customer Experience

  • Enhancing customer interactions with AI
  • Personalization and customization through AI

Lesson 10: AI in Marketing and Sales

  • Leveraging AI for marketing campaigns
  • AI-driven sales strategies and automation

Lesson 11: AI in Operations and Supply Chain

  • Optimization through AI in operations
  • Supply chain management with AI

Lesson 12: AI in HR and Workforce

  • AI applications in talent acquisition
  • Managing workforce with AI tools

Lesson 13: Legal and Regulatory Considerations

  • Navigating legal frameworks related to AI
  • Compliance and regulatory challenges

Lesson 14: Future Trends in AI

  • Emerging trends in AI for businesses
  • Preparing for the future of AI integration

Lesson 15: Implementing AI Projects

  • Step-by-step guide to implementing AI projects
  • Best practices for successful execution

Lesson 16: Review and Future Roadmap

  • Recap of key concepts from the training program
  • Developing a roadmap for continuous AI integration and improvement