AI and Critical Thinking

This course provides a comprehensive overview of artificial intelligence (AI), focusing on its fundamentals, applications, and ethical considerations. Students will learn to describe different types of AI and their common applications in everyday life. Key ethical issues such as fairness, accountability, transparency, and bias will be explored through real-world examples. The course emphasizes critical thinking skills, enabling students to evaluate AI claims and differentiate between hype and reality. Students will gain an understanding of how machine learning works, including commonly used algorithms and current AI technologies across various sectors.

The course also addresses the ethical implications of AI, covering data privacy, security, and the impact on personal freedoms. Students will analyze AI applications in key areas such as healthcare, finance, and law, evaluating both successful and problematic case studies to develop practical AI solutions. By the end of the course, students should be able to critically assess the effectiveness and challenges of various AI implementations, understand ethical considerations and biases, and propose strategies for responsible and ethical AI deployment.

AI and Problem Solving

Balancing the use of data with human problem solving requires a nuanced approach that recognizes the strengths and limitations of both. By integrating data with human judgment, fostering cross-functional collaboration, and building a data-literate culture, organizations can solve problems in a more informed, ethical, and sustainable way.

This course introduces Artificial Intelligence (AI) and its role in solving real-world problems. Participants will explore key AI concepts, tools, and technologies such as machine learning, data-driven decision-making, and popular AI platforms. The course covers practical aspects such as building and integrating AI models, ethical considerations such as bias and privacy, and the future impact of AI on industries and employment.

AI and Project Management

Artificial Intelligence (AI) is transforming project management by automating tasks, optimizing workflows, and improving decision-making. This course explores how AI-powered tools assist with scheduling, risk management, resource allocation, and collaboration. Participants will learn how to integrate AI solutions into their project workflows, address ethical considerations, and balance AI-driven insights with human expertise. Through hands-on activities and discussions, project managers will gain the skills to effectively leverage AI while maintaining strategic control over their projects.

Digital Transformation Data and Analytics

This course will look at ways businesses can benefit from data and analytics and use them to drive decision-making as organizations embrace digital transformation. It will also discuss how to ethically collect data, and the obligation to protect data.

Digital Transformation Strategy

This course will look at how to integrate overall business strategy and digital transformation plans to ensure the best outcomes. Participants will learn how to assess the current state of the business, how to set compelling and practical goals, and the importance of making informed decisions.

Implementing AI in Your Workplace

Artificial intelligence (AI) is transforming the way businesses operate through streamlining processes and unlocking new forms of value across every industry. However, successful AI adoption requires more than just selecting a tool; it demands careful planning, strategic alignment, and thoughtful change management.

This course provides a practical introduction to implementing AI in organizational settings, focusing on how leaders and teams can prepare for AI-driven transformation. Implementing AI in Your Workplace equips professionals with the knowledge and tools to lead the adoption of AI technology in their organization. Participants will explore how to identify opportunities for AI to improve efficiency, align technology solutions with business objectives and measure the return on investment.