- Artificial Intelligence and Machine Learning (AI/ML)
- Computational Thinking
- Algorithms
- Computer Programming
- Data Ethics
- Data Processing
- Data-Driven Decision-Making
- Analysis
- Machine Learning
- Data Literacy
- Artificial Intelligence
- Education Software and Technology
Artificial Intelligence (AI) Education for Teachers
Completed by Dr. Sidney Anderson, PhD
July 11, 2024
16 hours (approximately)
Dr. Sidney Anderson, PhD's account is verified. Coursera certifies their successful completion of Artificial Intelligence (AI) Education for Teachers
What you will learn
Compare AI with human intelligence, broadly understand how it has evolved since the 1950s, and identify industry applications
Identify and use creative and critical thinking, design thinking, data fluency, and computational thinking as they relate to AI applications
Explain how the development and use of AI requires ethical considerations focusing on fairness, transparency, privacy protection and compliance
Describe how thinking skills embedded in Australian curricula can be used to solve problems where AI has the potential to be part of the solution
Skills you will gain
