Our goal is to demystify AI
The Elements of AI is a series of free online courses created by Reaktor and the University of Helsinki. We want to encourage as broad a group of people as possible to learn what AI is, what can (and can’t) be done with AI, and how to start creating AI methods. The courses combine theory with practical exercises and can be completed at your own pace.
Master Artificial Intelligence
100% online or study your last semester in Germany and be eligible for a Blue Card (18-month VISA in Germany to find work)
Gain the skills needed to develop, design and evaluate intelligent systems with this globally focused online master's degree.
In this course we will discover what Artificial intelligence is, and how AI is being implemented in both industry and research. Along with a conceptual look at Artificial Intelligence, we will expand on intrinsic components of building an Artificial model.
DeepLearning.AI
Whether you’re a beginner looking to gain foundational knowledge or an experienced practitioner hoping to stay current with advanced skills, our world-class curriculum and unique teaching methodology will guide you through every stage of your AI journey.
Explore the fascinating and fast-moving field of artificial intelligence with online courses. Learn artificial intelligence by studying natural language processing, reinforcement learning, predictive analytics, deep neural networks, image processing, the human brain, and more today!
Over 3,000 full-time machine learning engineer positions were listed on Indeed.com at the time of this article, with many offering salaries above $125K per year. Data scientist AI jobs typically require a bachelor’s degree or higher in computer science, engineering, or IT and experience with multiple programming languages including Java, C, Python, R, JavaScript and SQL and experience in data science is also a big plus. Top job positions include Artificial Intelligence Engineer, AI Project Manager, Researcher and Artificial Intelligence Consultant and some of the top companies hiring include Amazon, Google, Apple and IBM.
A self-study guide for aspiring machine learning practitioners
Machine Learning Crash Course features a series of lessons with video lectures, real-world case studies, and hands-on practice exercises.
Machine Learning By Stanford
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI.
Artificial Intelligence (AI) is a field that has a long history but is still constantly and actively growing and changing. In this course, you’ll learn the basics of modern AI as well as some of the representative applications of AI. Along the way, we also hope to excite you about the numerous applications and huge possibilities in the field of AI, which continues to expand human capability beyond our imagination.
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