Artificial Intelligence Integration for non-AI specialists - for Managers & Executives Training Course in Dubai, UAE

Course overview

Facing a rapidly evolving technological landscape, organizations often find it challenging to integrate and understand AI-based systems. Many struggle to harness the transformative power of AI, blockchain, and IoT technologies, limiting their automation potential and their ability to maintain a competitive edge. These challenges, if not addressed, can lead to decreased efficiency, productivity, and innovation. Furthermore, a lack of AI integration can result in missed opportunities for cost savings, improved customer experiences, and better decision making. Such deficiencies can also undermine an organization's strategic positioning and make it vulnerable to more technologically agile competitors. This course, tailored for non-AI specialists, executives, and managers, confronts these challenges head-on, offering a path to demystify AI and related technologies and fully exploit their capabilities, potential, and ethical considerations.

This course prepares delegates for the new era of Industry 4.0, helping them understand the strategic implications of AI, the enablers their organizations need, and the potential consequences of intelligent autonomous systems. It also offers the opportunity for participants to obtain a valued certification upon successful completion. Course can be attended public, online or in-house. Delegates will gain a comprehensive understanding of the AI landscape, acquire essential skills, and become equipped to guide their organizations successfully through digital disruption and AI transformation.

Upon completion of this course, delegates will:

• Understand AI applications and opportunities within organizations and the concept of strategy in the digital age
• Gain awareness of the changing strategic landscape due to AI and other emergent technologies
• Recognize the business impact of these technologies and how to leverage them effectively
• Understand the importance of data in AI applications and how AI drives competitive advantage
• Recognize and categorize AI based on its usage and impact on organizational performance and value creation
• Grasp the key indicators that differentiate between leaders and laggards in the context of automation

Who Should Attend

The course is designed for:

• CEOs, all C-level executives
• Managers at corporate, tactical, and operational levels
• Government employees at different levels
• Anyone who wants to enhance their skills

What will you gain

This short “no code” training course is designed to equip both AI specialists and non-AI delegates with the ability to:

• Recommend AI solutions based on business problems and objectives
• Incorporate AI into business and strategic objectives
• Choose the best AI system to solve business problems
• Develop a deeper understanding of process automation
• Analyze the ethical adaptations businesses need to make due to AI applications
• Appreciate the value of governance and its ethical implications to protect the company from risks associated with autonomous decisions
• Develop insights into market conditions and apply proactive strategies for change
• Understand the essential elements for successful technological adaptation
• Improve leadership abilities for the digital age
• Recognize the importance of governance to safeguard business outputs
• Understand the six attributes of leadership for AI-driven leadership

Course content

• The Concept of Strategy
  • Strategy in the Age of Digital Disruption
  • What is not a Strategy?
  • Strategic Thinking and Implementation
  • Corporate, Business Unit and Operational Levels
  • The Changing Business Environment
  • Case Study: Strategy Success and Failure
• Navigating Uncertainty
  • Impact of Technological Changes
  • Importance of Technological Adaptation
  • Scenario Planning in the Digital Age
• Technological Disruption
  • Understanding AI, Blockchain, and Pervasive Computing
  • Digital Readiness and Strategic Reaction
  • Case Study: Managing Disruption
• Defining Artificial Intelligence
  • Understanding AI Definitions and Approaches
  • Filtering the AI Hype
  • Case Study: AI in Practice
• Classifying Artificial Intelligence
  • AI Tools and Systems Overview
  • AI Classification based on Use and Impact
• The Augmentation Strategy
  • Creating a Digitalization Strategy
  • Augmenting AI with Blockchain and IoT
• Automation and Primary Activities
  • Role of AI in Business Automation
  • Assessing AI Readiness
  • Autonomy and Adaptability in AI Systems
• Ethical Decision-Making in AI
  • Navigating Ethical Implications of AI
  • Implementing Ethical Reasoning in AI Systems
  • Case Study: Ethics in Practice
• Responsibilities of Directors and Executives
  • Accountability, Responsibility and Transparency in AI
  • Role of Responsible Research and Innovation
• Responsible AI Design
  • Ethical Concerns in AI System Design
  • The Responsible Development Lifecycle for AI systems
• Ethical Requirements for AI Systems
  • Understanding Ethical Action in AI
  • Approaches to Ethical Reasoning
• Governance for Responsible AI
  • Updating IT Governance for AI
  • Identifying Risks and Ethical Principles in AI Systems
• Building an AI-Ready Organization
  • Key Elements of an AI-Ready Organization
  • Building a Robotic Colleague with Personality
• AI-Driven Leadership
  • Understanding AI-Driven Leadership Attributes
  • Applying AI Leadership Model