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Mastering Artificial Intelligence AI and Digital Transformation

Dates Venues Register
09/08/2026 - 13/08/2026 DOHA

Introduction

Mastering Artificial Intelligence AI and Digital Transformation

 

 

Course Objectives:

By the end of the Mastering Artificial Intelligence AI and Digital Transformation Training Course, participants will:

  • Understand the fundamentals of AI and its pivotal role in digital transformation.
  • Develop strategies to integrate AI into business models for greater efficiency and innovation.
  • Analyze the impact of AI on business functions such as operations, marketing, and customer service.
  • Explore AI-driven solutions to enhance customer experiences and streamline operations.
  • Lead and manage AI-powered digital transformation initiatives within their organization.
  • Navigate the ethical, legal, and regulatory considerations when implementing AI technologies.

Who Should Attend?

  • Business executives and managers
  • Digital transformation leaders and strategists
  • IT professionals and innovation officers
  • Strategic decision-makers seeking to leverage AI
  • Entrepreneurs looking to incorporate AI into their business ventures

 

The Course Outline:

Day 1

Introduction to Artificial Intelligence and Digital Transformation

  • Overview of AI: Concepts, History, and Applications
  • The Role of AI in Digital Transformation
  • Key AI Technologies: Machine Learning, Natural Language Processing, and Computer Vision
  • Case Studies: Successful AI Implementations in Business
  • Discussion: The Future of AI in Business and its Disruptive Potential
Day 2

AI in Business Strategy and Operations

  • How AI Transforms Business Models
  • AI-Driven Operational Efficiency and Cost Reduction
  • Leveraging AI for Data-Driven Decision Making
  • AI in Supply Chain, Production, and Logistics Optimization
  • Workshop: Designing AI-Enhanced Business Strategies
Day 3

AI for Customer Experience and Digital Marketing

  • Personalizing Customer Interactions with AI
  • AI in Digital Marketing: Predictive Analytics, Chatbots, and Recommendation Engines
  • Enhancing Customer Experience through AI-Powered Automation
  • Case Studies: AI in Retail, Finance, and Healthcare Sectors
  • Practical Exercise: Building AI-Enhanced Customer Journeys
Day 4

Leading Digital Transformation with AI

  • Strategies for Leading Digital Transformation Initiatives
  • AI and Change Management: Managing Resistance and Cultivating a Digital Culture
  • AI in Product Development and Innovation
  • Aligning AI Projects with Business Objectives
  • Panel Discussion: Challenges and Opportunities in AI Adoption
Day 5

Ethical, Legal, and Future Considerations in AI

  • Ethical Issues in AI: Bias, Fairness, and Accountability
  • Legal and Regulatory Challenges in AI Implementation
  • Data Privacy and Security in AI-Driven Transformations
  • The Future of Work: AI and the Workforce
  • Group Project: Developing an AI-Driven Digital Transformation Roadmap for a Business

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