These are the top 10 courses in artificial intelligence offered by online universities and top-tier colleges.
Artificial Intelligence is the new trend. This technology is ubiquitous. It can be used to register and verify your security for transactions.
Artificial Intelligence has had a positive impact on sectors such as healthcare, education, and automobile. Machine learning or artificial intelligence is an important skill to have.
Employers seek out people with diverse skills to help them advance their company into the future. This is the list with the 10 best Artificial Intelligence Courses (Best AI Classes) for 2022.
The Artificial Intelligence Graduate Program provides advanced skills and the foundation in the principles and technologies of AI.
Courses include logic, knowledge representation, and probabilistic models. You can learn online alongside Stanford graduate students who are taking the courses on campus. This is undoubtedly one of the most popular AI courses in 2022.
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This course is one of the best artificial intelligence courses that beginners can take in 2022. This course teaches you how to use artificial intelligence (data science, machine learning, deep learning) to design AI applications for real-world situations. After the course, candidates will be able to use their AI knowledge to create real-world applications.
This course is the best AI course. You will learn about artificial intelligence (AI), explore applications and use cases, and get to know terms such as machine learning, deep learning, and neural networks.
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You will learn the basics of big data, machine learning, and artificial intelligence. Also, discover the many areas where you can use them to help your business.
This course will cover AI ethics and risk, how to design governance frameworks for fair application of artificial intelligence, as well as people management and the fair design and implementation of human resources within machine learning.
Without the Microsoft Azure AI Fundamentals AI-900 course, the list of 10 best artificial intelligence courses is incomplete.
This course is for those who are interested in taking the Certified AI-900 Microsoft Azure AI Fundamentals Exam. This program includes 5 courses that will prepare you for the certification exam.
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This course was developed by Raj Venkatesan (Professor of Business Administration) at the Darden School of Business, University of Virginia.
It focuses on a key frontier of digital transformation for marketing. This course will focus on three major forces that allow AI in marketing strategies: algorithms, networks, data, and how they can be used to benefit businesses across a variety of industries.
This course will provide you with all the information you need to get started. Artificial intelligence (AI), which empowers to build solutions that seem like science fiction a few years ago, has enabled incredible advances in financial management, health care, and environmental protection. This will make the world a better place for all.
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This course will teach you how to use AI technology in healthcare safely and ethically. This specialization is for computer scientists and healthcare professionals. It provides insights that will facilitate collaboration between these two disciplines.
This course is a great choice for future managers. This course will teach you how to use AI to help your business projects.
This course will teach you how to efficiently manage AI projects to achieve exceptional results. Regularization of the business module and prevention of various overfit and underfit candidacy issues.
Programming in Python using the Scikit library. Deep learning, multi-layer neural network, convolutional neural networks, and recurrent neural networks.
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Google AI, a course powered Google, brings to an end the list of 10 best Artificial Intelligence courses. Google has created an educational program that will help individuals identify how artificial intelligence can be used to advance the social agenda of various communities.
This course will cover topics like machine learning basics, AI explorable, recommendation and data clustering. How to prepare data and test and debug machine-learning. Responsible use of AI for society’s benefit.
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