AI Education for Teachers
The course on artificial intelligence (AI) compares AI to human intelligence, investigates the evolution of AI and its implications in industry, and addresses computational thinking, ethical considerations, and curriculum-based thinking skills.
Description for AI Education for Teachers
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 21
Offered by: On Coursera provided by Macquarie University
Duration: 16 hours to complete
Schedule: Flexible
Pricing for AI Education for Teachers
Use Cases for AI Education for Teachers
FAQs for AI Education for Teachers
Reviews for AI Education for Teachers
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for AI Education for Teachers
Learn to apply advanced machine learning and deep learning models to real-world challenges by immersing yourself in the cutting-edge world of AI-powered finance and insurance.
A thorough grasp of artificial intelligence (AI) and machine learning, including its various forms, methods, and applications, is given in this course.
In this course, students gain the skills necessary to use Python for data science, machine learning, and foundational applications of artificial intelligence.
Study the ethical consequences of AI development and implementation, emphasizing generative AI, AI governance, and pragmatic ethical decision-making in practical contexts.
Acquire practical expertise in the integration of machine learning models into pipelines, optimizing performance, and efficiently managing versioning and artifacts.
Examine how to improve learning and preserve integrity by incorporating morally sound and useful AI tools into evaluation procedures.
The material equips data engineers to incorporate machine learning models into pipelines while adhering to best practices in collaboration, version control, and artifact management.
From fundamental concepts to advanced methods such as deep learning and ensemble techniques, this program provides a comprehensive examination of machine learning techniques.
A program that emphasizes the practical implementation of data science and machine learning to overcome obstacles through the use of Python.
In-depth study of the applications of machine learning and computer vision, as well as practical experience in data analysis and Python programming.
Featured Tools
Preparing students for a future in artificial intelligence security, this course offers AI hacking, vulnerability discovery, and attack mitigating techniques.
This course covers Python programming, TensorFlow for linear regression, and app development for stock market prediction.
Discover AI terminology, ethical norms, and protocols for responsibly utilizing and citing Generative AI.
In order to balance or improve the integration of AI in education, this course examines conversational AI technologies and provides evaluation designs.
Examine how to improve learning and preserve integrity by incorporating morally sound and useful AI tools into evaluation procedures.