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
From fundamental concepts to advanced methods such as deep learning and ensemble techniques, this program provides a comprehensive examination of machine learning techniques.
Gain proficiency in the automation of software development processes through the utilization of generative artificial intelligence, AI-assisted programming, MLOps, and Amazon Web Services.
Learn the skills necessary to operate, optimize, and implement large language models through practical experience with state-of-the-art LLM architectures and open-source resources.
Study the ethical consequences of AI development and implementation, emphasizing generative AI, AI governance, and pragmatic ethical decision-making in practical contexts.
A thorough grasp of artificial intelligence (AI) and machine learning, including its various forms, methods, and applications, is given in this course.
To enhance machine learning models, this course offers fundamental understanding of artificial intelligence, machine learning methods like classification, regression, and clustering.
Preparing students for a future in artificial intelligence security, this course offers AI hacking, vulnerability discovery, and attack mitigating techniques.
To address OpenAI Gym challenges and real-world problems, this course offers pragmatic artificial intelligence methods like Genetic Algorithms, Q-Learning, and neural network implementation.
An extensive study of the applications of AI in marketing, ranging from competitive analysis to content optimization and conversion enhancement.
A practical guide to the use of generative AI for the purpose of composing, refining, and planning, utilizing structured and context-driven inputs.
Featured Tools
In order to balance or improve the integration of AI in education, this course examines conversational AI technologies and provides evaluation designs.
An insightful introduction of the foundational models, generative AI concepts, and their applications on a variety of platforms.
A structured guide to the study of business opportunities in the chatbot space, as well as the comprehension, design, and deployment of chatbots using Watson Assistant.
Preparing students for a future in artificial intelligence security, this course offers AI hacking, vulnerability discovery, and attack mitigating techniques.
Acquire an extensive understanding of reinforcement learning, deep neural networks, clustering, and dimensionality reduction to effectively address real-world machine learning challenges.
Compare & Review AI Tool Directory AI Course Marketplace
