Artificial Intelligence for leadership & decision makers #401524

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Artificial Intelligence (AI) is rapidly transforming industries and reshaping the way we live and work. Leaders and decision-makers are increasingly recognizing the need to understand and leverage AI to drive innovation, improve efficiency, and gain a competitive edge. This course is designed to equip you with the essential knowledge and skills to navigate the AI landscape and make informed decisions that will shape your organization's future.

By the end of this course, you will be able to:
• Understand the fundamentals of AI: Grasp key concepts, technologies, and applications of AI.
• Identify AI opportunities: Recognize how AI can be applied to solve business challenges and drive value.
• Assess AI risks and challenges: Understand potential pitfalls and ethical considerations associated with AI implementation.
• Develop an AI strategy: Create a roadmap for integrating AI into your organization's goals and operations.
• Make data-driven decisions: Utilize AI to analyze data, gain insights, and make informed choices.

Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a binder containing a copy of the presentation
• slides and handouts
• Post-assessment

This course is ideal for:
• Executives and senior leaders: Those responsible for strategic planning and decision-making.
• Managers and supervisors: Individuals involved in operational decision-making and team management.
• Entrepreneurs and innovators: Individuals seeking to leverage AI for business growth and competitive advantage.
• Policymakers and regulators: Those shaping the regulatory landscape for AI development and deployment.

• What is AI?
• Types of AI (narrow, general, super)
• AI applications and examples
• AI's impact on society and business

• Machine learning (supervised, unsupervised, reinforcement)
• Deep learning (neural networks, convolutional networks, recurrent networks)
• Natural language processing
• Computer vision
• AI platforms and frameworks

• Data-driven decision-making
• AI-powered analytics and insights
• Predictive modeling and forecasting
• Ethical considerations in AI decision-making

• Developing an AI strategy
• Identifying AI use cases
• Building an AI team
• Overcoming AI challenges and risks

• Emerging trends and technologies in AI
• AI's impact on the future of work
• Leadership in the age of AI
• Ethical considerations for AI development and deployment

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