Dive into the dynamic field of AI and machine learning with this comprehensive learning path. Gain essential insights into image processing, reinforcement learning, and neural networks while mastering tools like Python, OpenCV, PyTorch, and Keras. Implement powerful algorithms, construct efficient machine learning models, and apply innovative technologies across various sectors. Start upskilling today to become an adept machine learning engineer or data scientist.
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Gain an understanding of how AI and machine learning work.
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Learn how AI addresses accountability, security, and more.
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Analyze machine learning models for performance improvements.
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Develop neural networks using PyTorch and Keras.
Courses
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1
Artificial Intelligence Foundations: Thinking Machines1h 36mArtificial Intelligence Foundations: Thinking Machines
By: Doug Rose
Learn the key concepts behind artificial intelligence (AI), including strong and weak AI, approaches such as machine learning, and practical uses for new AI-enhanced technologies.
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2
Machine Learning Foundations: Linear Algebra1h 20mMachine Learning Foundations: Linear Algebra
By: Terezija Semenski
Explore the fundamentals of linear algebra, the mathematical foundation of machine learning algorithms.
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3
Deep Learning: Getting Started1h 13mDeep Learning: Getting Started
By: Kumaran Ponnambalam
Learn the basics of deep learning and get up and running with this technology.
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4
Building Computer Vision Applications with Python2hBuilding Computer Vision Applications with Python
By: Eduardo Corpeño
Get a deeper understanding of computer vision by creating your own image processing applications in Python.
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5
Reinforcement Learning Foundations44mReinforcement Learning Foundations
By: Khaulat Abdulhakeem
Learn the basics of reinforcement learning (RL), including the terminology, the kinds of problems you can solve with RL, and the different methods for solving those problems.
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6
Hands-On PyTorch Machine Learning56mHands-On PyTorch Machine Learning
By: Helen Sun
Discover the fundamentals of creating machine learning models with PyTorch, the open-source machine learning framework.
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7
Artificial Intelligence Foundations: Neural Networks1h 45mArtificial Intelligence Foundations: Neural Networks
By: Gwendolyn Stripling
Learn the fundamental techniques and principles behind artificial neural networks.
Instructors
Doug Rose
Author | Artificial Intelligence | Data Ethics | Agility
Terezija Semenski
Helping 200,000+ people Master AI Fundamentals 53% Faster | LinkedIn [in]structor 14 Courses | Founder @ Stack labs d.o.o. ♦ Corporate Trainer | Author @ Math Mindset newsletter
Kumaran Ponnambalam
AI / ML Leader & Author
Eduardo Corpeño
Electrical & Computer Engineer, Creator of the world-renowned Brainfuino platform.
Khaulat Abdulhakeem
🌸 Career Strategy • AI & Future of Work • Lifestyle
Helen Sun
Gwendolyn Stripling
Generative AI | Cybersecurity | Author: O'Reilly - A Practical Project-Driven Intro. to Machine Learning | Author: LinkedIn Learning - Intro. to Neural Networks and Adv. Natural Language Processing using Python!