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.
Learning Objectives:
- Define the fundamentals of AI and its capacity for solving problems
- Use specific AI tools and technologies that facilitate problem-solving
- Explain how machine learning models are developed and used in AI solutions
- Apply AI solutions in real-world problem-solving scenarios
- Discuss the ethical implications of using AI in problem-solving
- Recognize future trends and the evolving role of AI in solving complex problems
- Apply the knowledge and skills that are learned to a real or simulated problem
How You Will Benefit:
- Obtain practical AI skills for problem solving
- Ethical awareness and responsible AI implementation
- Form a future oriented perspective
- Develop a data literate mindset
Who Should Attend:
- Any individual interested in developing knowledge and skills to effectively leverage AI for problem solving
Prerequisites: None
Course Format: Live instructor led (synchronous)
Course Duration: 8 hours