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AI and Machine Learning Essentials
AI and Machine Learning Essentials
Coursera
MOOC / Non-credit
USD 49
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About this course
This course offers a comprehensive exploration of Artificial Intelligence (AI) and Machine Learning (ML), two of the most transformative technologies in the modern world. You’ll learn about their development, impact, and the ethical dilemmas they raise in business and society. The course is designed to provide both technical insights and a deep understanding of the broader implications of AI. Throughout the course, learners will gain practical knowledge about how AI and ML work and their real-world applications. You’ll also gain insight into the challenges these technologies present, such as their potential societal risks and consequences. By analyzing case studies and current use cases, this course will help you comprehend the advantages and potential pitfalls of these technologies. What sets this course apart is its unique combination of theoretical foundation and practical applications. You won’t just learn about AI and ML in the abstract, but also how they are applied in real-world settings, shaping industries and societies. This balance of theory and practice will give you a well-rounded view of AI and ML. This course is ideal for individuals interested in AI and its applications across various fields, including business, technology, and ethics. A basic understanding of computer science or programming is recommended but not essential. This course is based on the book, AI and Machine Learning, by Was Rahman. Copyright ©2020 by Sage Publications Limited. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies. Published by Sage Publications Limited, London. Used by arrangement with Sage Publications Limited.
What you'll learn
understanding the fundamentals of AI and machine learning
analyzing the impact of AI and ML on business and society
exploring ethical dilemmas associated with AI technologies
identifying real-world applications and case studies of AI and ML
Skills you'll gain
artificial intelligence
machine learning
real-world applications
ai development
case studies
business applications
ethical implications
technology impact
societal risks
technical insights
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