In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps network engineers create, update, and maintain VPC networks. You learn how to prompt Gemini to provide specific guidance for your networking tasks, beyond what you would receive from a search engine. Using a hands-on lab, you experience how Gemini makes it easier for you to work with Google Cloud VPC networks.
Duet AI was renamed to Gemini, our next-generation model.
Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course)
In this project-centered course you will build a modern software hierarchy, designed to enable the translation and execution of object-based, high-level languages on a bare-bone computer hardware platform. In particular, you will implement a virtual machine and a compiler for a simple, Java-like programming language, and you will develop a basic operating system that closes gaps between the high-level language and the underlying hardware platform. In the process, you will gain a deep, hands-on understanding of numerous topics in applied computer science, e.g. stack processing, parsing, code generation, and classical algorithms and data structures for memory management, vector graphics, input-output handling, and various other topics that lie at the very core of every modern computer system.
This is a self-contained course: all the knowledge necessary to succeed in the course and build the various systems will be given as part of the learning experience. The only prerequisite is knowledge of programming at the level acquired in introduction to computer science courses. All the software tools and materials that are necessary to complete the course will be supplied freely after you enrol in the course.
This course is accompanied by the textbook "The Elements of Computing Systems" (Nisan and Schocken, MIT Press). While not required for taking the course, the book provides a convenient coverage of all the course topics. The book is available in either hardcopy or ebook form, and MIT Press is offering a 30% discount off the cover price by using the discount code MNTT30 at https://mitpress.mit.edu/books/elements-computing-systems.
The course consists of six modules, each comprising a series of video lectures, and a project. You will need about 2-3 hours to watch each module's lectures, and about 15 hours to complete each one of the six projects. The course can be completed in six weeks, but you are welcome to take it at your own pace. You can watch a TED talk about this course by Googling "nand2tetris TED talk".
*About Project-Centered Courses: Project-centered courses are designed to help you complete a personally meaningful real-world project, with your instructor and a community of learners with similar goals providing guidance and suggestions along the way. By actively applying new concepts as you learn, you’ll master the course content more efficiently; you’ll also get a head start on using the skills you gain to make positive changes in your life and career. When you complete the course, you’ll have a finished project that you’ll be proud to use and share.
How to Innovate with the Strategy Canvas for Competitiveness
In this less than 2 hours, this project-based course will help you learn how to create a competitive advantage with the Strategy Canvas by taking into consideration the key attributes your industry competes on. You will learn how the canvas is both a diagnostic and an action framework for building a compelling strategy. Using a spreadsheet, you will learn how to design and analyze the value curve.
We will work you through the model using a case study about a startup social venture to conduct the analysis. The framework will help you to think strategically as you develop deeper insights on the key attributes your industry competes on, and also innovate new attributes in attempt to render competition irrelevant.
The project is for entrepreneurs and innovators who want to have a holistic understanding of their market entry strategy. Also, for strategist who want to help organizations to better understand their market, and the key attributes the market competes on. By the end of the project, you will learn how to design, analyze, and innovate with the value curve to create a blue ocean strategy
La crise de la Covid-19 a montré la fragilité de nos environnements et l’importance qu’il y a à gérer des évènements imprévus. La littérature managériale traite depuis longtemps la gestion des situations de crise en mode curatif ou encore au travers des HRO (Hight Reliability Organizations), les organisations de haute fiabilité qui intègrent la crise dans leur fonctionnement en mode préventif.
En mobilisant entre autres des travaux sur la construction de sens de Weick, ce MOOC définit la crise comme un effondrement du sens établi et le processus de gestion consiste à reconstruire le sens de manière avec une contrainte de temps. Ce processus est présenté comme une solution à la crise et en même temps une occasion de développer la résilience organisationnelle des groupes qui devient de plus en plus importante dans un environnement VUCA.
Ce Mooc est proposé par l’ESSEC en mobilisant ses ressources pédagogiques sur le sujet avec Marie-Léandre Gomez - Professeur, Marie Kerveillant - Directrice Académique Adjointe ESSEC MGO et David Autissier, directeur exécutif des chaires ESSEC Changement et IMEO (Innovation Managériale et Excellence Opérationnelle).
En compléments des apports académiques, ce MOOC met en avant des apports de professionnels du sujet avec Matthieu Langlois – médecin réanimateur et ancien du RAID et Gaspard Gantzer –spécialiste de la communication de crise et responsable du pôle communication à la présidence de la République de 2012 à 2017.
生成 AI を使用してユーザーがより快適に検索できるようにすることで、ウェブサイトのナビゲーション エクスペリエンスを向上する。このコースでは、ウェブサイトに含まれるコンテンツをユーザーが見つけやすくするために、Vertex AI Search を使用して生成検索機能を提供する方法を学習します。また、ウェブサイト編集者として、生成 AI による提案を利用して短時間で効率的にコンテンツの翻訳や改善を行う方法も学びます。
This course introduces marketing data analytics, focusing on the crucial concepts of correlation and causality. Learners will explore statistical concepts and tools to analyze and interpret marketing data, leading to more informed and impactful marketing strategies. The course begins with core statistical concepts, such as standard deviation, variance, and normal distributions, in the context of marketing decisions. It shows how to visualize correlations and causal networks using techniques such as Structural Equation Modeling (SEM) and Path Analysis. The course discussions of analytics ethics, guiding participants to identify and avoid common pitfalls in data interpretation. This course is an invaluable resource for anyone looking to enhance their marketing strategies through trustworthy data-driven insights.
This course helps you understand the basics of machine data. You will learn about Splunk components, its basic functions, and be introduced to apps, which becomes your workspace. It teaches you how to navigate Splunk, get you familiar with search anatomy to run searches using fields and basic commands.
Ebola: Essential Knowledge for Health Professionals
March 2014 marked the starting point of the largest outbreak of Ebola virus disease in history. Although the disease seems to be on a decrease, we are not there yet and new outbreaks will surely emerge. New efforts to combat the outbreak are necessary. This is why we developed this online course about Ebola, targeted at health professionals across the world.
In this course you will cover the fundamental knowledge any health professional should have with expected or confirmed cases or a general interest in the Ebola disease. You will discuss the epidemiology of the disease, its pathophysiology and transmission, the clinical presentation including differential diagnosis and confirmation of disease. You will also discuss the general therapeutic approach to the care of Ebola suspected or confirmed patients and discuss the novel vaccine and drug developments.
As the Ebola crisis continues to rage through the affected areas, we need health professionals like yourself to be informed and involved.
This course is developed in collaboration with colleagues at the University of Amsterdam, the University Medical Center Utrecht (Julius Center/Julius Global Health), Elevate Health, Médecins Sans Frontières and the Lion Heart Foundation.
Integrating Test-Driven Development into Your Workflow
In this course we will discuss how to integrate best practices of test-driven development into your programming workflow. We will start out by discussing how to refactor legacy codebases with the help of agile methodologies. Then, we will explore continuous integration and how to write automated tests in Python. Finally, we will work everything we've learned together to write code that contains error handlers, automated tests, and refactored functions.
Desarrollo del lado servidor: NodeJS, Express y MongoDB
En este curso trabajarás del lado servidor, en el backend, desarrollando el soporte que toda aplicación necesita para lidiar con la persistencia de la información, el setup de un servidor web, la creación de una API REST, autenticación y autorización, y la integración de librerías de terceros. Utilizarás Express para el servidor web, y una base de datos NoSQL orientada a documentos: MongoDB. Aprenderás de ODM con Mongoose y harás las típicas tareas CRUD sobre Mongo. Finalmente pondrás productivo tu sitio en Heroku.
In today’s fast-evolving software landscape, success increasingly relies on the ability to integrate AI tools strategically throughout the development lifecycle. This course teaches developers how to use generative AI to analyze, enhance, and streamline software workflows.
Building on foundational coding and AI concepts, you’ll learn to use generative AI as both a decision-making aid and a practical coding assistant. The course emphasizes real-world applications, guiding you to analyze unfamiliar code, evaluate frameworks, and create documentation with the support of AI tools. Through hands-on experience with platforms like GitHub Copilot and ChatGPT, you’ll gain the skills to integrate AI tools into everyday development tasks.
This course is designed for developers who want to improve coding practices using generative AI tools. By the end of the course, you’ll be equipped to apply AI-powered solutions that elevate your coding practices and development processes.
Enroll today to gain valuable, future-ready development insights.
Learners completing this course will be able to apply regression, clustering, classification, and feature engineering techniques to real-world datasets, evaluate models with performance metrics, and visualize results for actionable insights. Through hands-on case studies, learners will not only understand algorithms but also gain the ability to prepare data, train models, and interpret outputs effectively.
This course stands out by combining practical projects with step-by-step implementation using Python. Instead of focusing on theory alone, it demonstrates machine learning through applied case studies such as salary prediction, startup cost analysis, time series forecasting, face detection, fruit classification, and credit card default prediction. Learners benefit from structured progression—starting with foundational regression models, advancing through clustering and classification, and culminating in financial credit risk modeling with advanced evaluation techniques.
By the end of the course, participants will confidently execute machine learning workflows in Python, analyze diverse datasets, and apply predictive models to solve real-world business and research problems. This unique emphasis on project-driven learning ensures that learners develop both technical expertise and problem-solving skills valued in today’s data-driven industries.
