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Our Courses
Introduction to EdTech
Co-developed by Supercharger Ventures and EDHEC Business School. EdTech, short for Education Technology, is one of the most exciting sectors in the economy today poised to re-shape how education systems work and how people learn around the world. Introduction to EdTech MOOC is designed to explore EdTech fundamentals and build the foundational knowledge for educators, institutions, entrepreneurs and governments to appreciate the impact and potential of new tools, technologies, business models and learning methods in education.
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Course by
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Self Paced
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15 hours
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English
Follow a Machine Learning Workflow
Machine learning is not just a single task or even a small group of tasks; it is an entire process, one that practitioners must follow from beginning to end. It is this process—also called a workflow—that enables the organization to get the most useful results out of their machine learning technologies. No matter what form the final product or service takes, leveraging the workflow is key to the success of the business's AI solution.
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Course by
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Self Paced
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20 hours
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English
Business Implications of AI: Full course
The Business Implications of AI Throughout the course you will receive an answer to these key questions * How shall we, as leaders, understand AI from a corporate strategy point of view? * What is it and how can it be deployed? * What are the crucial strategic decisions we have to make, and how to make them? * What consequences can we expect if we decide on doing AI projects and what kind of competencies do we need? * Where shall we start, and what could be a good second as well as a third step? * What implications for the organization can we expect?
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Course by
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Self Paced
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6 hours
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English
Unsupervised Learning, Recommenders, Reinforcement Learning
In the third course of the Machine Learning Specialization, you will: • Use unsupervised learning techniques for unsupervised learning: including clustering and anomaly detection. • Build recommender systems with a collaborative filtering approach and a content-based deep learning method. • Build a deep reinforcement learning model. The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online.
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Course by
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Self Paced
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28 hours
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English
Artificial Intelligence and legal issues
The purpose of the course is to help students understand the legal implications related to the design and use of artificial intelligence systems, providing an overview of the risks and legal protections that can be envisaged and giving an overview of the legislation and legal principles currently applicable on the subject. In particular, the profiles of civil and criminal liability, protection in terms of intellectual property and the impacts of AI on the fundamental rights of the individual - including privacy and the right to non-discrimination – will be examined.
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Course by
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Self Paced
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4 hours
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English
Build Regression, Classification, and Clustering Models
In most cases, the ultimate goal of a machine learning project is to produce a model. Models make decisions, predictions—anything that can help the business understand itself, its customers, and its environment better than a human could. Models are constructed using algorithms, and in the world of machine learning, there are many different algorithms to choose from.
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Course by
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Self Paced
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20 hours
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English
AI-Powered Chest Disease Detection and Classification
Hello everyone and welcome to this hands-on guided project on Artificial intelligence (AI)-powered chest disease detection and classification.
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Course by
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Self Paced
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2 hours
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English
How Entrepreneurs in Emerging Markets can master the Blockchain Technology
This course is for entrepreneurs needing to understand the blockchain and distributed ledger technologies that are fundamentally changing how financial and personal data is handled. The course will discuss blockchain as a distributed ledger and introduce distributed consensus as a mechanism to maintain the integrity of the blockchain. The other revolutionary technologies that are changing the world are artificial intelligence and machine learning. You will learn about the three major types of AI algorithms: supervised and unsupervised machine learning, as well as reinforcement learning.
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Course by
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Self Paced
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10 hours
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English
Artificial Intelligence in Marketing
AI is everywhere! By harnessing the power of Artificial Intelligence, businesses and marketers have amazing growth potential, and the opportunities to enhance marketing with AI are always expanding. But how can businesses use AI tools to drive their success and gain sustainable competitive advantages?
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Course by
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Self Paced
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11 hours
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English
Introduction to Data Science and scikit-learn in Python
This course will teach you how to leverage the power of Python and artificial intelligence to create and test hypothesis. We'll start for the ground up, learning some basic Python for data science before diving into some of its richer applications to test our created hypothesis. We'll learn some of the most important libraries for exploratory data analysis (EDA) and machine learning such as Numpy, Pandas, and Sci-kit learn.
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Course by
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Self Paced
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14 hours
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English
Ethical Issues in Data Science
Computing applications involving large amounts of data – the domain of data science – impact the lives of most people in the U.S. and the world. These impacts include recommendations made to us by internet-based systems, information that is available about us online, techniques that are used for security and surveillance, data that is used in health care, and many more.
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Course by
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Self Paced
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24 hours
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English
Data Science Ethics
What are the ethical considerations regarding the privacy and control of consumer information and big data, especially in the aftermath of recent large-scale data breaches? This course provides a framework to analyze these concerns as you examine the ethical and privacy implications of collecting and managing big data. Explore the broader impact of the data science field on modern society and the principles of fairness, accountability and transparency as you gain a deeper understanding of the importance of a shared set of ethical values.
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Course by
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Self Paced
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15 hours
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English
New Technologies for Business Leaders
This introductory course is developed for high level business people (and those on their way) who want a broad understanding of new Information Technologies and understand their potential for business functions (e.g. marketing, supply change management, finance). This is not a course for people looking for guidance on how to become a deep technical expert or implement these technologies.
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Course by
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Self Paced
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19 hours
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English
Data Science for Business Innovation
This is your chance to learn all about Data Science for Business innovation and future-proof your career. Match your business experience tech and analytics! The Data Science for Business Innovation nano-course is a compendium of the must-have expertise in data science for executives and managers to foster data-driven innovation. The course explains what Data Science is and why it is so hyped.
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Course by
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Self Paced
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7 hours
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English
Artificial Intelligence (AI) Education for Teachers
Today’s learners need to know what artificial intelligence (AI) is, how it works, how to use it in their everyday lives, and how it could potentially be used in their future. Using AI requires skills and values which extend far beyond simply having knowledge about coding and technology. This course is designed by teachers, for teachers, and will bridge the gap between commonly held beliefs about AI, and what it really is. AI can be embedded into all areas of the school curriculum and this course will show you how.
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Course by
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Self Paced
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16 hours
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English
Financial Regulation in Emerging Markets and the Rise of Fintech Companies
This course explores the developments that have fueled the emergence of fintech companies around the world. Following the changing regulatory environment, especially since the 1997 Asian and 2008 global financial crisis, governments have enacted far-reaching new financial regulations for safeguarding financial stability. However, banks and financial institutions have found it increasingly difficult to be profitable in these new regulatory environments.
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Course by
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Self Paced
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13 hours
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English
Introduction to Digital Transformation Part 1
This course was designed to introduce the key components of digital transformation so you can understand the drivers and economics of innovation and technological change to create competitive advantage in your own industry. You'll learn the business value of data and how the exponential growth in core technologies such as artificial intelligence and autonomy are impacting the nature of competition.
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Course by
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Self Paced
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4 hours
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English
Legal Tech and the Digital Transformation of Law
The digital revolution changed the way we communicate and trade.
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Course by
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Self Paced
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15 hours
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English
Build Decision Trees, SVMs, and Artificial Neural Networks
There are numerous types of machine learning algorithms, each of which has certain characteristics that might make it more or less suitable for solving a particular problem. Decision trees and support-vector machines (SVMs) are two examples of algorithms that can both solve regression and classification problems, but which have different applications. Likewise, a more advanced approach to machine learning, called deep learning, uses artificial neural networks (ANNs) to solve these types of problems and more.
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Course by
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Self Paced
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22 hours
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English
Justice and Equity in Technology Policy
More than ever, technology is shaping, and being shaped by, public policy. This has an enormous impact, particularly for marginalized communities. The artificial intelligence and computer algorithms increasingly driving government and industry decisions—from the allocation of social services to hiring—are reflecting and reinforcing social biases towards women, people of color, and disabled people, among others. Global climate change is having a disproportionately negative impact on low- and middle-income countries, and on historically disadvantaged communities of color in the United States.
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Course by
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Self Paced
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38 hours
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English
Virtual Agent Development in Dialogflow CX for Citizen Devs
Welcome to "CCAI Virtual Agent Development in Dialogflow CX for Citizen Developers", the second course in the "Customer Experiences with Contact Center AI" series.
In this course, learn how to develop customer conversational solutions using Contact Center Artificial Intelligence (CCAI). In this course, you'll be introduced to adding voice (telephony) as a communication channel to your virtual agent conversations using Dialogflow CX.
This is an intermediate course, intended for learners with the following types of roles:
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Course by
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Self Paced
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12 hours
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English
Introduction to Digital health
This course introduces the field of digital health and the key concepts and definitions in this emerging field. The key topics include Learning Health Systems and Electronic Health Records and various types of digital health technologies to include mobile applications, wearable technologies, health information systems, telehealth, telemedicine, machine learning, artificial intelligence and big data.
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Course by
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Self Paced
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31 hours
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English
مطوّر الواجهة الخلفية من Meta
Ready to gain new skills and the tools developers use to create websites and web applications?
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Course by
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Self Paced
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Arabic
人工智慧：機器學習與理論基礎 (Artificial Intelligence - Learning & Theory)
本課程第二部分著重在和人工智慧密不可分的機器學習。課程內容包含了機器學習基礎理論（包含 1990 年代發展的VC理論）、分類器（包含決策樹及支援向量機）、神經網路（包含深度學習）及增強式學習（包含深度增強式學習。 此部份技術包含最早追溯至 1950 年代直到最近 2016 年附近的最新發展。此課程從基礎理論開始，簡介了各機器學習主流技法以及從淺層學習架構演變到最近深度架構的轉換。 本課程之核心目標為： （一）使同學對人工智慧相關的機器學習技術有基礎概念 （二）同學能夠理解機器學習基礎理論、分類器、神經網路、增強式學習 （三）同學能將相關技術應用到自己的問題上 修課前，基礎背景知識： 需要的先備知識：計算機概論 建議的先備知識：資料結構與演算法
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Course by
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Self Paced
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Chinese
Desarrollador back-end de Meta
Ready to gain new skills and the tools developers use to create websites and web applications?
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Course by
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Self Paced
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Spanish