Artificial Intelligence for Digital Transformation
Corporate Training Courses Company

Artificial Intelligence for Digital Transformation

Course schedule

Classroom Training:
DateVenueDurationPrice
6 - 10 Jul 2026London5 days£4,995
21 - 25 Sep 2026London5 days£4,995
18 - 22 May 2026Riyadh5 days£4,995
15 - 19 Jun 2026Dubai5 days£4,995
13 - 17 Jul 2026Cape Town5 days£4,995
10 - 14 Aug 2026Istanbul5 days£4,995
14 - 18 Sep 2026Riyadh5 days£4,995
12 - 16 Oct 2026Dubai5 days£4,995

Please note: prices shown above are exclusive of VAT (20%).

If you don’t see your preferred course date, please contact us.
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Course Overview

This course explores how AI can transform strategic decision-making and business operations. Delegates examine AI applications in forecasting, automation, and customer engagement. Participants learn to identify opportunities and risks associated with AI adoption. The programme equips professionals to integrate AI tools into strategic planning for innovation and growth.

Who Should Attend

Executives driving digital transformation through AI adoption and emerging technologies. Past delegates have included:

  • Digital Transformation Leaders
  • Chief Innovation Officers
  • Technology Managers
  • Programme Directors
  • Change Specialists

Course Outcomes

  • Align AI initiatives with enterprise-wide digital transformation goals.
  • Leverage data analytics and automation to streamline operations and innovation.
  • Identify opportunities for AI integration across customer and internal processes.
  • Assess the organisational impact and change management requirements of AI deployment.
  • Formulate governance models for responsible and scalable AI implementation.

Course Topics

Introduction to Artificial Intelligence

  • Understand AI principles and types across industries.
  • Identify opportunities and challenges in AI adoption.
  • Evaluate emerging AI technologies and their impact.
  • Discuss the ethical, legal, and social implications of AI.

AI in Decision-Making

  • Apply AI insights for operational and strategic decisions.
  • Integrate predictive analytics to improve decision outcomes.
  • Use AI for scenario modelling and data interpretation.
  • Manage biases and transparency issues in algorithmic decisions.

Ethical AI and Governance

  • Implement frameworks for responsible and transparent AI use.
  • Identify ethical risks associated with automated decision systems.
  • Design governance models ensuring fairness and accountability.
  • Promote stakeholder confidence in ethical AI implementation.

AI-Powered Digital Innovation

  • Explore how AI accelerates innovation and operational agility.
  • Design AI-based digital products and solutions for evolving business needs.
  • Leverage data-driven insights to drive creative digital transformation.
  • Develop KPIs and metrics to measure AI innovation success.

AI in Process Automation

  • Automate repetitive processes through AI-driven systems and RPA tools.
  • Map end-to-end process improvements achievable with AI technologies.
  • Implement governance models for large-scale process automation.
  • Ensure compliance, transparency, and ethics in AI-automated operations.

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