Showing 1–12 of 27 results
AI is not only for engineers. “AI for Everyone”, a non-technical course, will help you understand AI technologies and spot opportunities to apply AI to problems in your own organization. You will see examples of what today’s AI can – and cannot – do. Finally, you will understand how AI is impacting society and how to navigate through this technological change.
deeplearning.ai Beginner 6 hours
In this course, you'll define clustering for ML applications, prepare data for clustering, define similarity for your dataset, compare manual and supervised similarity measures, use the k-means algorithm to cluster data, evaluate the quality of your clustering result.
Google Advanced, Intermediate 4 hours
This specialization covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data.
Johns Hopkins University Beginner 3+ months, Self-paced
In this free TensorFlow course, you will be able to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions.
IBM Advanced 10 hours, Self-paced
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.
Reaktor, University of Helsinki Beginner 6 weeks
Develop a deep understanding of the principles that underpin statistical inference: estimation, hypothesis testing and prediction. Taking this class will allow you to expand your statistical knowledge to not only include a list of methods, but also the mathematical principles that link them together, equipping you with the tools you need to develop new ones.
Massachusetts Institute of Technology (MIT) Advanced 18 weeks
Through the preparation for HCIA-AI, you will systematically understand and grasp Python programming, essential mathematics knowledge in AI, basic programming methods using TensorFlow (a machine learning and Deep Learning platform framework), pre-knowledge and overview of Deep Learning, overview of Huawei cloud EI.
Huawei Beginner, Intermediate 5 hours