Description for Essential Concepts in AI
Fundamental AI Principles: Acquire knowledge of essential AI concepts and their historical evolution.
Artificial Intelligence in Society: Examine the prospective effects of integrated AI systems on human society.
Introduction to RegTech: Explore the application of AI in regulatory technology to improve compliance and governance procedures.
Theoretical and Ethical Considerations: Comprehend essential theories, prospective forecasts, and apprehensions articulated by researchers and regulators about the integration of AI and RegTech.
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On edX provided by ICA
Duration: 1�2 hours per week 4 weeks (approximately)
Schedule: Flexible
Pricing for Essential Concepts in AI
Use Cases for Essential Concepts in AI
FAQs for Essential Concepts in AI
Reviews for Essential Concepts in AI
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Essential Concepts in AI
Featured Tools
With an emphasis on time series prediction using RNNs and ConvNets, this course educates software developers on how to create scalable AI models using TensorFlow.
Gain an understanding of the fundamental methods for training machine learning models with data, investigate advanced neural network architectures, and comprehend the challenges posed by dynamic medical practice on clinical machine learning applications by learning to bridge biostatistics, machine learning, and computer programming.
Learn to build machine learning solutions using Generative AI on AWS, including an understanding of AWS cloud computing and utilizing services like Amazon Bedrock.
Learn the principles, advantages, components, and deployment strategies of multi-cloud computing for enhanced resilience, scalability, and adaptability.
Gain a comprehensive understanding of AI terminology, applications, development, and strategy, while navigating ethical and societal considerations in a non-technical context.