10 Artificial Intelligence Free Courses with Certificate

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This course provides a broad introduction to AI concepts and techniques and covers topics such as search algorithms, probabilistic models, and machine learning.

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Created by the co-founder of Coursera and a renowned AI expert, this course offers a comprehensive introduction to machine learning concepts and algorithms.

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This specialization consists of a series of courses that delve into deep learning methods and applications, including neural networks, convolutional networks, and sequence models.

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This course focuses on AI techniques applied to robotics, covering topics such as localization, mapping, and control algorithms.

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Designed for non-technical learners, this course provides a high-level understanding of AI concepts and their implications in various industries.

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This course offers a beginner-friendly introduction to AI, covering topics such as search algorithms, logic and planning, and machine learning.

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This course explores deep learning techniques, including neural networks, convolutional networks, and recurrent networks.

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This course focuses on practical applications of deep learning and teaches learners how to build and deploy deep learning models.

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This course provides an introduction to machine learning through real-world case studies and hands-on programming assignments.

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This course covers a range of AI topics, including computer vision, natural language processing, and generative AI, and provides hands-on experience with deep learning frameworks.

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Thank You

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10 Artificial Intelligence Free Courses with Certificate

This course provides a broad introduction to AI concepts and techniques and covers topics such as search algorithms, probabilistic models, and machine learning.

"Introduction to Artificial Intelligence" by Stanford University

Created by the co-founder of Coursera and a renowned AI expert, this course offers a comprehensive introduction to machine learning concepts and algorithms.

"Machine Learning" by Andrew Ng (Coursera)

This specialization consists of a series of courses that delve into deep learning methods and applications, including neural networks, convolutional networks, and sequence models.

"Deep Learning Specialization" by Andrew Ng (Coursera)

This course focuses on AI techniques applied to robotics, covering topics such as localization, mapping, and control algorithms.

"Artificial Intelligence for Robotics" by Udacity

Designed for non-technical learners, this course provides a high-level understanding of AI concepts and their implications in various industries.

"AI for Everyone" by deeplearning.ai (Coursera)

This course offers a beginner-friendly introduction to AI, covering topics such as search algorithms, logic and planning, and machine learning.

"Intro to Artificial Intelligence" by Udacity

This course explores deep learning techniques, including neural networks, convolutional networks, and recurrent networks.

"Introduction to Deep Learning" by National Research University Higher School of Economics

This course focuses on practical applications of deep learning and teaches learners how to build and deploy deep learning models.

"Practical Deep Learning for Coders" by fast.ai

This course provides an introduction to machine learning through real-world case studies and hands-on programming assignments.

"Machine Learning Foundations: A Case Study Approach" by University of Washington

This course covers a range of AI topics, including computer vision, natural language processing, and generative AI, and provides hands-on experience with deep learning frameworks.

"Applied AI with DeepLearning" by IBM (Coursera)

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