Easiest skill level.
Mitigating Security Vulnerabilities on Google Cloud. In this self-paced training course, participants learn mitigations for attacks at many points in a Google Cloud-based infrastructure, including Distributed Denial-of-Service attacks, phishing attacks, and threats involving content classification and use.
Mindshift: Break Through Obstacles - This course is designed to show you how to look at what you're learning, and your place in what's unfolding in the society around you, so you can be what you want to be, given the real world constraints that life puts on us all. You'll see that by using certain mental tools and insights, you can learn and do more'far more'than you might have ever dreamed!
De-Mystifying Mindfulness. Evolving from the popular Honours Academy course at Leiden University, this innovative course combines conventional scholarly inquiry from multiple disciplines (ranging from psychology, through philosophy, to politics) with experiential learning (including specially designed meditation labs,' in which you'll get chance to practice and analyze mindfulness on yourself).
Memoir and Personal Essay: Managing Your Relationship with the Reader. The blank page can be the most daunting obstacle in writing. In this course, aspiring writers will assemble a starter kit for approaching the blank page by developing constructive ways to think about the writing process as a whole.
Introduction to Mathematical Thinking. The key to success in school math is to learn to think inside-the-box. In contrast, a key feature of mathematical thinking is thinking outside-the-box _ a valuable ability in today's world. This course helps to develop that crucial way of thinking.
Learn how to think the way mathematicians do – a powerful cognitive process developed over thousands of years. Mathematical thinking is not the same as doing mathematics – at least not as mathematics is typically presented in our school system. School math typically focuses on learning procedures to solve highly stereotyped problems. Professional mathematicians think a certain way to solve real problems, problems that can arise from the everyday world, or from science, or from within mathematics itself. The key to success in school math is to learn to think inside-the-box. In contrast, a key feature of mathematical thinking is thinking outside-the-box – a valuable ability in today’s world. This course helps to develop that crucial way of thinking.
This self-paced training course gives participants broad study of security controls and techniques on Google Cloud. Through recorded lectures, demonstrations, and hands-on labs, participants explore and deploy the components of a secure Google Cloud solution, including Cloud Identity, Resource Manager, Cloud IAM, Google Virtual Private Cloud firewalls, Google Cloud Load balancing, Cloud Peering, Cloud Interconnect, and VPC Service Controls.
This course is uniquely tailored to the needs of investment professionals or those with investment industry knowledge who want to develop a basic, practical understanding of machine learning techniques and how they are used in the investment process. This course is part of the Data Science for Investment Professionals Specialization offered by CFA Institute.
This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).
In this first course, you will learn robust analysis techniques to predict and validate design performance and life. We will start by reviewing critical material properties in design, such as stress, strength, and the coefficient of thermal expansion. We then transition into static failure theories such as von Mises theory, which can be utilized to prevent failure in static loading applications such as the beams in bridges. Finally, we will learn fatigue failure criteria for designs with dynamic loads, such as the input shaft in the transmission of a car.
Based on one of the most popular open online courses in the world, this course gives you easy access to the learning techniques used by experts in art, music, literature, math, science, sports, and many other disciplines. No matter what your current skill level, using these approaches can help you master new topics, change your thinking and improve your life.
If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.