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1. Machine Learning by Stanford University on Coursera:
Taught by Andrew Ng, this course covers the fundamentals of machine learning and is highly recommended for beginners.
2. Deep Learning Specialization by deeplearning.ai on Coursera:
A comprehensive series of courses covering deep learning techniques, taught by Andrew Ng and his team.
3. AI For Everyone by deeplearning.ai on Coursera:
An introductory course to AI concepts, suitable for engineers and non-engineers alike.
4. Artificial Intelligence Nanodegree by Udacity:
This program covers AI algorithms, deep learning, and computer vision, among other topics.
5. Applied AI with Deep Learning by IBM on Coursera:
Focuses on practical applications of deep learning techniques, including natural language processing and computer vision.
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6. Machine Learning Engineer Nanodegree by Udacity:
Designed to prepare engineers for careers in machine learning, covering supervised and unsupervised learning algorithms.
7. Reinforcement Learning Specialization by University of Alberta on Coursera:
A series of courses covering reinforcement learning techniques, taught by experts in the field.
8. Computer Vision Nanodegree by Udacity:
Focuses on computer vision techniques, including image processing and object detection.
9. Natural Language Processing Specialization by deeplearning.ai on Coursera:
Covers various aspects of natural language processing, including sentiment analysis and sequence models.
10. AI Foundations for Everyone Specialization by IBM on Coursera:
Provides a broad overview of AI concepts, including machine learning and neural networks.
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11. AI Ethics by Politecnico on Coursera:
Explores the ethical implications of AI technology, suitable for engineers interested in responsible AI development.
12. TensorFlow Developer Certificate by Google on Coursera:
Focuses on building and training neural network models using TensorFlow, Google's open-source machine learning library.
13. Advanced Machine Learning Specialization by Google Cloud:
Advanced Machine Learning Specialization by Google Cloud on Coursera provides advanced training in machine learning techniques, focusing on real-world applications and scalable solutions using Google Cloud Platform.
14. Practical Deep Learning for Coders by fast.ai:
A hands-on course that teaches deep learning techniques through practical coding exercises.
15. Applied Data Science with Python Specialization by University of Michigan on Coursera:
Includes courses on data analysis, machine learning, and natural language processing using Python.
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16. Machine Learning for Trading by Georgia Institute of Technology:
Focuses on using machine learning techniques for financial trading strategies.
17. Generative Adversarial Networks (GANs) Specialization by DeepLearning.AI on Coursera:
Covers the theory and applications of generative adversarial networks, a cutting-edge deep learning technique.
18. Practical AI with Python and TensorFlow LiveLessons by O'Reilly Media: Provides hands-on experience with building AI models using Python and TensorFlow.
19. AI and Machine Learning for Coders by Full Stack Deep Learning:
A practical course that teaches AI and machine learning concepts through coding projects.
20. Introduction to Robotics Specialization by University of Pennsylvania on Coursera:
Covers robotics concepts, including kinematics, dynamics, and control, with applications of AI techniques in robotics.
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