AI Certification Courses

Here are the topmost foreign universities providing AI certification courses online.

There are many individuals who are into AI and would like to Learn AI. Sadly, they don’t know where to start How to learn AI courses? Where all to find resources to learn AI and the list will go on. There are many foreign universities providing AI Certificate Courses in order to educate and empower people who are interested in AI. Here are the top foreign universities providing AI Certification Courses online.

The role of AI has modified considerably – from its preliminary creation on the threshold of an enterprise of their innovation labs to the modern-day while human beings are starting to recognize that it has the ability to convert businesses from the center out. According to the reports, AI will be better than human beings in translating languages by 2024, promoting items by 2031, and conducting surgical procedures by 2053. Artificial intelligence (AI) is poised to redefine how businesses work, healthcare, and many other areas. Already it is unleashing the power of data across a range of crucial functions, such as customer service, marketing, training, pricing, security, surgeries, automobiles, etc. to remain competitive, firms in nearly every industry will need to adopt AI.

Top Foreign Universities Providing AI Courses

Learning From Data (Introductory Machine Learning) - Caltech (EdX)

In this you can start learning with theoretical principles and it covers advanced practical applications including creating ML algorithms used to power neural networks. It aims to help those who are set on a career as a data scientist or analyst.

IBM Applied AI by IBM

In this course you can learn Python, build a chatbot, explore machine learning and computer vision, and leverage IBM Watson. This course makes you understand the definition of AI, its applications and use cases, and explain terms like machine learning, deep learning, and neural networks and also how to create AI chatbots and virtual assistants without any programming and deploy them on a website.

Machine Learning by Standford University

This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. This course includes Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), and many.

AI For Business Specialization by University of Pennsylvania

Through this course learn the Fundamentals of AI and Machine Learning. Develop a deployment strategy for incorporating AI, ML, and Big Data into your organization that will take advantage of cutting-edge technologies vision, medical informatics, audio, database mining, and other areas

Artificial Intelligence: An Overview by Politecnico Di Milano

The course will provide a non-technical overview of the artificial intelligence field. Initially, a discussion on the birth of AI is provided, remarking the seminal ideas and preliminary goals. Furthermore, the crucial weaknesses are presented and how these weaknesses have been circumvented. Then, the current state of AI is presented, in terms of goals, importance at national level, and strategies. Moreover, the taxonomy of the AI topics is presented.

AI Product Management Specialization by Duke University

Here you can learn how to manage the Design & development of ML Products and understand how machine learning works and when and how it can be applied to solve problems. It will teach you how to apply the data science process and best practices to lead machine learning projects, and how to develop human-centered AI products which ensure privacy and ethical standards.

Advanced Machine Learning Specialization by HSE University

This course will take you into a deep dive into the Modern AI Techniques. You will teach computer to see, draw, read, talk, play games and solve industry problems. This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. Top Kaggle machine learning practitioners and CERN scientists will share their experience of solving real-world problems and help you to fill the gaps between theory and practice.

Mathematics for Machine Learning Specialization by Imperial College London

You can learn Mathematics for Machine Learning in this course and also about the prerequisite mathematics for applications in data science and machine learning. It’ll give a detailed knowledge about how to Implement mathematical concepts using real-world data, how to derive PCA from a projection perspective and many.

Data Science: Statistics and Machine Learning Specialization- John Hopkins University

This course will help to learn how to perform regression analysis, least squares and inference using regression models and also how to Build and apply prediction functions. It will help you develop public data products and understand the process of drawing conclusions about populations or scientific truths from data.

Elements of AI- Helsinki University

This is an elementary-level class aimed at anyone who wants to understand what AI does, how it might affect them, and what it can be used for, without getting involved in the underlying mathematics and statistics. It demonstrates that in-depth knowledge of those fields isn't necessary to start taking advantage of the opportunities offered by AI and machine learning, and includes practical exercises.