Science, Engineering, AI & Data Ethics
The primary objective of this program is to integrate AI tools into education while addressing ethical standards in the development and implementation of AI.
Description for Science, Engineering, AI & Data Ethics
Conversational AI Tools in Education: This section describes the fundamentals of tools such as ChatGPT, such as their application in the development of lesson plans, assessments, and real-time course enhancements.
AI-Driven Course Delivery: Illustrates the application of AI to educational environments, including the provision of individual feedback and routine communication.
Ethical Methodology for AI: Presents the Seven-Step Guide for the evaluation and development of ethical solutions to technological challenges, accompanied by case studies.
Standards and Biases in Artificial Intelligence Ethics: Investigates the ways in which ethical guidelines and technical standards associated with AI are influenced by societal norms, trade-offs, and biases.
Level: Beginnner
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On edX provided by TokyoTechX
Duration: 2�4 hours per week approx 7 week
Schedule: Flexible
Pricing for Science, Engineering, AI & Data Ethics
Use Cases for Science, Engineering, AI & Data Ethics
FAQs for Science, Engineering, AI & Data Ethics
Reviews for Science, Engineering, AI & Data Ethics
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Featured Tools
This course covers Python programming, TensorFlow for linear regression, and app development for stock market prediction.
Examine how to improve learning and preserve integrity by incorporating morally sound and useful AI tools into evaluation procedures.
Discover AI terminology, ethical norms, and protocols for responsibly utilizing and citing Generative AI.
The material equips data engineers to incorporate machine learning models into pipelines while adhering to best practices in collaboration, version control, and artifact management.
An extensive study of the applications of AI in marketing, ranging from competitive analysis to content optimization and conversion enhancement.
Compare & Review AI Tool Directory AI Course Marketplace
