Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
Our Courses
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
Preparing for DP-900: Microsoft Azure Data Fundamentals Exam
Microsoft certifications give you a professional advantage by providing globally recognized and industry-endorsed evidence of mastering skills in digital and cloud businesses. In this course, you will prepare to take the DP-900 Microsoft Azure Data Fundamentals certification exam. You will refresh your knowledge of the fundamentals of database concepts in a cloud environment, the basic skilling in cloud data services, and foundational knowledge of cloud data services within Microsoft Azure.
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Course by
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Self Paced
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6 hours
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English
AI Materials
Learn about the materials that have advanced the performance of artificial intelligence, and the machine learning models that could help accelerate the design and development of novel materials. This course defines artificial intelligence (AI) as a machine to which some or all of the functions of the human brain have been delegated. It highlights the need, and explains in an easy-to-understand way how machine learning from artificial intelligence can dramatically accelerate the development of new materials.
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Course by
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Self Paced
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50 hours
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English
Microsoft Azure Machine Learning for Data Scientists
Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. Automated machine learning can help make it easier.
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Course by
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Self Paced
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11 hours
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English
Exam Prep AI-102: Microsoft Azure AI Engineer Associate
The AI-102: Designing and Implementing a Microsoft Azure AI Solution certification exam tests the candidate’s experience and knowledge of the AI solutions that make the most of Azure Cognitive Services and Azure services.
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Course by
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Self Paced
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16 hours
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English
Advanced Learning Algorithms
In the second course of the Machine Learning Specialization, you will: • Build and train a neural network with TensorFlow to perform multi-class classification • Apply best practices for machine learning development so that your models generalize to data and tasks in the real world • Build and use decision trees and tree ensemble methods, including random forests and boosted trees 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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English
Diabetic Retinopathy Detection with Artificial Intelligence
In this project, we will train deep neural network model based on Convolutional Neural Networks (CNNs) and Residual Blocks to detect the type of Diabetic Retinopathy from images.
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Course by
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Self Paced
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4 hours
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English
Generative AI Teach-Out
This Teach-Out introduces learners to artificial intelligence (AI) and explains how large language models and generative AI tools, like ChatGPT, work. Explore the ethical use of artificial intelligence, the implications of authorship, and how these tools might be utilized and regulated moving forward. Generative AI has developed rapidly over the last year and there is growing demand for a variety of AI tools, such as chatbots and visual media generators.
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Course by
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Self Paced
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8 hours
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English
Contact Center AI: Conversational Design Fundamentals
Welcome to "CCAI Conversational Design Fundamentals", the first course in the "Customer Experiences with Contact Center AI" series.
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Course by
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Self Paced
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4 hours
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English
Trustworthy AI for Healthcare Management
This MOOC gives an introduction to trustworthy artificial intelligence and its application in healthcare. This includes modules on basics of artificial intelligence and an introduction to trustworthy and ethical applications of artificial intelligence. A dedicated lesson will present the Z-Inspection® process for assessing trustworthy AI, and real-world case studies will illustrate how to apply the knowledge. The course is aimed at healthcare professionals, patients, and AI practitioners. It does not require previous knowledge on AI.
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Course by
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Self Paced
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4 hours
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English
Innovations in Investment Technology: Artificial Intelligence
Explore the evolution of AI investing and online wealth management. Investing and managing your wealth online has never been easier, but how does AI investing work and what are the challenges? On this course, you’ll explore how technology has changed the way we invest money.
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Course by
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Self Paced
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10 hours
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English
Machine Learning Introduction for Everyone
This three-module course introduces machine learning and data science for everyone with a foundational understanding of machine learning models. You’ll learn about the history of machine learning, applications of machine learning, the machine learning model lifecycle, and tools for machine learning. You’ll also learn about supervised versus unsupervised learning, classification, regression, evaluating machine learning models, and more. Our labs give you hands-on experience with these machine learning and data science concepts.
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Course by
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Self Paced
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7 hours
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English
AI, Empathy & Ethics
This nontechnical course provides an overview of artificial intelligence advancements and the ethical challenges we now face as we navigate the development, implementation, and ubiquitous global use of AI.
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Course by
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Self Paced
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4 hours
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English
Robot Localization with Python and Particle Filters
In this one hour long project-based course, you will tackle a real-world problem in robotics. We will be simulating a robot that can move around in an unknown environment, and have it discover its own location using only a terrain map and an elevation sensor. We will encounter some of the classic challenges that make robotics difficult: noisy sensor data, and imprecise movement. We will tackle these challenges with an artificial intelligence technique called a particle filter. By the end of this project, you will have coded a particle filter from scratch using Python and numpy.
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Course by
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Self Paced
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4 hours
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English
Narrative Economics
Dear Potential Learner, Please take some time to read through this note before deciding to enroll. This course, Narrative Economics, is relatively short and proposes a simple concept: we need to incorporate the contagion of narratives into our economic theory. You can think of narratives as stories that shape public beliefs, which in turn influence our decision making.
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Course by
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Self Paced
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6 hours
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English
Computer Vision in Microsoft Azure
In Microsoft Azure, the Computer Vision cognitive service uses pre-trained models to analyze images, enabling software developers to easily build applications"see" the world and make sense of it. This ability to process images is the key to creating software that can emulate human visual perception. In this course, you'll explore some of these capabilities as you learn how to use the Computer Vision service to analyze images. This course will help you prepare for Exam AI-900: Microsoft Azure AI Fundamentals.
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Course by
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Self Paced
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8 hours
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English
Artificial Creativity
Artificial Creativity explores the emerging field of creativity in artificial intelligence (AI) from a design perspective, bringing together insights from computer science and creative disciplines. In this course, you will survey the history and theories behind today's creative AI, analyze the unorthodox approaches that have advanced the field, and experience cutting-edge creative AI tools. At the same time, you will learn design thinking research methods, how to implement them for your creative insights, and how to translate them to professional and business contexts.
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Course by
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Self Paced
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13 hours
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English
Ethics of Artificial Intelligence
This course deals with the problems created, aggravated or transformed by AI. It is intended to give students a chance to reflect on the ethical, social, and cultural impact of AI by focusing on the issues faced by and brought about by professionals in AI but also by citizens, institutions and societies. The course addresses these topics by means of case studies and examples analyzed in the light of the main ethical frameworks.
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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 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