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Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Lund University
Artificial Intelligence: Ethics & Societal Challenges
Artificial Intelligence: Ethics & Societal Challenges is a four-week course that explores ethical and societal aspects of the increasing use of artificial intelligent technologies (AI). The aim of the course is to raise awareness of ethical and societal aspects of AI and to stimulate reflection and discussion upon implications of the use of AI in society. The course consists of four modules where each module represents about one week of part-time studies. A module includes a number of lectures and readings. Each lesson finishes with a mandatory assignment in which you write a short sum-up of the most important new knowledge/insight you gained from this lesson, and review a lesson sum-up written by another student/participant. The assessments are intended to encourage learning and to stimulate reflection on ethical and societal issues of the use of AI in society. Participating in forum discussions is voluntary but strongly encouraged. In the first module, we will discuss algorithmic bias and surveillance. Is it really true that algorithms are purely logical and free from human biases or are they maybe just as biased as we are, and if they are, why is that and what can we do about it? AI in many ways makes surveillance more effective, but what does it mean to us if we are increasingly being watched in more and more sophisticated ways? Next, we will talk about the impact of AI on democracy. We discuss why democracy is important, and how AI could hamper public democratic discussion, but also how it can help improve democracy. We will for instance talk about how social media could play in the hands of authoritarian regimes and present some ideas on how to make use of AI tools to develop the functioning of democracy. A further ethical question concerns whether our treatment of AI could matter for the AIs themselves. Can artefacts be conscious? What do we even mean by “conscious”? What is the relationship between consciousness and intelligence? This is the topic of the third week of the course. In the last module we will talk about responsibility and control. If an autonomous car hits an autonomous robot, who is responsible? And who is responsible to make sure AI is developed in a safe and democratic way? The last question of the course, and maybe also the ultimate question for our species, is how to control machines that are more intelligent than we are. Our intelligence has given us a lot of power over the world we live in. Shall we really give that power away to machines and if we do, how do we stay in charge? At the end of the course, you will have · a basic understanding of the AI bias phenomenon and the role of AI in surveillance, · a basic understanding of the importance of democracy in relation to AI and acquaintance with common issues with democracy in relation to AI, · an understanding of the complexity of the concepts ‘intelligence’ and ‘consciousness’ and acquaintance with common approaches to creating artificial consciousness, · a basic understanding of the concepts of ‘forward-looking’ and ‘backward-looking responsibility’ and an acquaintance with problems connected to applying these concepts on AI, · a basic understanding of the control problem in AI and acquaintance with commonly discussed solutions to this problem, · and an ability to discuss and reflect upon the ethical and societal aspects of these issues.
Google Cloud
Infrastructure as Code with Terraform
This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab you will build, change, provision, and destroy infrastructure using Terraform in the cloud environment.
Google
IT-Sicherheit: Grundlagen für Sicherheitsarchitektur
In diesem Kurs behandeln wir eine Reihe von Konzepten, Tools und Best Practices rund um das Thema IT-Sicherheit. Sie erfahren mehr über verschiedene Formen von Bedrohungen und Angriffen und erhalten Hintergrundinformationen zu Verschlüsselungsalgorithmen und deren Funktionsweisen. Anschließend gehen wir näher auf drei besonders wichtige Konzepte der IT-Sicherheit ein: Authentifizierung, Autorisierung und Konten. Wir behandeln außerdem einige Lösungen zur Netzwerksicherheit, von Firewalls bis hin zur WLAN-Verschlüsselung. Schließlich untersuchen wir das Sicherheitsmodell von Chrome OS im Rahmen einer Fallstudie. Abschließend werden alle diese Elemente zu einer mehrschichtigen, detaillierten Sicherheitsarchitektur kombiniert. Sie erhalten auch Empfehlungen dazu, wie Sie dafür sorgen können, dass Sicherheit in Ihrem Unternehmen oder Team zum A und O wird. Am Ende dieses Kurses wissen Sie: ● wie verschiedene Verschlüsselungsalgorithmen und ‑methoden funktionieren, welche Vorteile sie bieten und welche Einschränkungen sie haben ● welche verschiedenen Authentifizierungssysteme und ‑typen es gibt ● was der Unterschied zwischen Authentifizierung und Autorisierung ist ● wie Sie potenzielle Risiken einstufen und wie Sie sie am besten vermeiden können ● was die Best Practices der Netzwerksicherheit sind ● wie Sie anderen Personen diese Sicherheitskonzepte näherbringen können, damit sie sich besser schützen können
EDUCBA
Apply SketchUp to Build 3D House Models from 2D Plans
Learners will be able to interpret 2D house plans, construct accurate 3D architectural models, apply essential SketchUp tools, and enhance designs with components and textures by the end of this course. The course focuses on developing practical, job-ready skills for transforming flat AutoCAD-style layouts into fully realized 3D house models using SketchUp. This hands-on case study–driven course guides learners step by step through the SketchUp interface, navigation tools, and core 3D modeling workflows. Learners will begin by understanding the workspace and basic drawing techniques, then progress to creating walls, doors, and windows with precise dimensions. The course also covers efficient use of reusable components and realistic texture application to improve visual clarity and presentation quality. What makes this course unique is its end-to-end project approach, where learners follow a complete real-world workflow rather than isolated tool demonstrations. By working directly from a 2D plan and building a structured 3D model from the ground up, learners gain confidence in applying SketchUp for architectural visualization, interior planning, and design communication. This course is ideal for beginners and aspiring designers seeking practical SketchUp modeling experience.
Packt
Web Hacker's Toolbox - Tools Used by Successful Hackers
Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Ethical hackers and penetration testers need an efficient toolbox and a step-by-step guide to use these tools effectively. This course covers: - Sqlmap for SQL injection detection, - Google Hacking for identifying security weaknesses, - Fuzzing with Burp Suite Intruder. - How to exploit race conditions using OWASP ZAP. By the end of the course, you'll be equipped to use these tools in your penetration testing projects. The course is ideal for intermediate-level penetration testers, ethical hackers, bug hunters, and security engineers/consultants. It offers a practical, hands-on approach with real-world case studies and expert tips, enhancing your pentesting skills and aligning you with industry standards. Basic hacking skills are required; no installation videos are included.
Google Cloud
Feature Engineering - 한국어
이 과정에서는 Vertex AI Feature Store 사용의 이점, ML 모델의 정확성을 개선하는 방법, 가장 유용한 특성을 만드는 데이터 열을 찾는 방법을 살펴봅니다. 이 과정에는 BigQuery ML, Keras, TensorFlow를 사용한 특성 추출에 관한 콘텐츠와 실습도 포함되어 있습니다.
Google
Ask Effective Questions
In this course, you'll learn about problem solving in data analysis through real-world scenarios. You’ll explore the phases of data analysis and the problem types that data analysts face. You’ll also learn how to ask effective questions to guide data analysis. Current Google data analysts will instruct and provide you with hands-on ways to accomplish common data analytics tasks. By the end of this course, you will be able to: - Explore problem solving in data analysis through a variety of real-world business scenarios - Describe the six phases of the data analysis process - Identify the common problem types that data analysts face - Practice effective questioning techniques that can help guide analysis
Google Cloud
Building Applications with Eventarc on Google Cloud
This course teaches you how to build and secure event-driven applications by using Eventarc. Using lectures and hands-on labs, you create Eventarc triggers to route events from Google Cloud services to event receivers that act on the events. You learn about the standard CloudEvents format that is used by Eventarc, and you build and deploy an event receiver service to consume events.
Packt
Advanced Machine Learning, Big Data, and Deep Learning
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Dive deep into advanced machine learning techniques, including data mining, dimensionality reduction, reinforcement learning, and deep learning. You'll gain hands-on experience with tools like K-Nearest Neighbors, Principal Component Analysis, and Apache Spark while working with real-world datasets. The course emphasizes key machine learning concepts such as model evaluation, cross-validation, and handling unbalanced data. As you progress, you'll explore advanced neural networks like Convolutional and Recurrent Neural Networks, with practical applications such as sentiment analysis and handwriting recognition. Learn how to deploy models, use transfer learning, and understand the ethics behind machine learning and deep learning. This course is ideal for anyone with a basic understanding of machine learning who wants to advance their skills with real-world applications and big data tools. Gain the expertise needed to work with cutting-edge technologies in machine learning and deep learning. Ideal for data scientists, machine learning engineers, and anyone with a keen interest in AI and its real-world applications.
IBM
Python Project for Data Science
This mini-course is intended to for you to demonstrate foundational Python skills for working with data. This course primarily involves completing a project in which you will assume the role of a Data Scientist or a Data Analyst and be provided with a real-world data set and a real-world inspired scenario to identify patterns and trends. You will perform specific data science and data analytics tasks such as extracting data, web scraping, visualizing data and creating a dashboard. This project will showcase your proficiency with Python and using libraries such as Pandas and Beautiful Soup within a Jupyter Notebook. Upon completion you will have an impressive project to add to your job portfolio. PRE-REQUISITE: **Python for Data Science, AI and Development** course from IBM is a pre-requisite for this project course. Please ensure that before taking this course you have either completed the Python for Data Science, AI and Development course from IBM or have equivalent proficiency in working with Python and data. NOTE: This course is not intended to teach you Python and does not have too much instructional content. It is intended for you to apply prior Python knowledge.
Coursera
Using Video in Social Media Posts with Canva
By the end of this 40-minute project, you will create 5 video-based social media posts using Canva. The posts can be used for Instagram, Facebook, or Twitter as determined in the project. To conclude the project, we will review managing these posts in folders within the web-based Canva platform. Note that videos in these examples will not contain audio, but don’t let that discourage you from incorporating video and audio in your own design time. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
University of Glasgow
Computational Thinking with JavaScript 4: Create & Deploy
This is the fourth and final course in the Computational Thinking with JavaScript specialisation. It is an added-value unit and entirely builds on what you will have learned in the first three units and enables you to synthesise and develop that knowledge. The course supports you to develop your own larger application, using a combination of the technologies you have seen already, including HTML, JavaScript and various libraries, while also encouraging you to reach out to incorporate new libraries. You are taken through the software development process step-by-step, with guidance along the way. You have plenty of opportunity to interact with your peers on the course, and to review their work at periodic intervals.
University of Minnesota
IT Infrastructure and Emerging Trends
Today organizations are either embracing digital technologies to improve their businesses or being disrupted by entrants with such capabilities. Therefore it is important for managers and executives of all organizations to learn about various technologies and apply them in innovative ways. Some of the most important trends in Information Technology are in mobile, cloud, security, and blockchains. This course gives you an overview of the fundamental technical aspects of Information Technology. After taking this course you will be familiar with the basic knowledge of IT/IS solutions needed to help with decision-making in the real world. We will first learn about issues in cloud computing and various realizations of service-oriented computing. We will then discuss the range of mobile technologies available to modern enterprises and how these can be used to create innovative business models. We will look at cybersecurity threats that organizations need to be aware of and learn about the various defense mechanisms available to them. Finally we will talk about the innovation that emerging technologies like Blockchains can bring about. Using this knowledge of various technologies, IT managers can better overcome technical challenges, evaluate tradeoffs, unlock new revenue streams, and implement change in the organization’s Information systems capabilities.
Coursera
Créer un Moodboard pour votre marque avec Canva
À la fin de ce projet, vous aurez toutes les compétences de base pour créer un moodboard appelé aussi planche d'inspiration pour votre marque en utilisant la plateforme Canva, outil en ligne de création et d’édition de visuels Marketing. Vous serez capable de définir votre identité de marque et de mener à bien vos projets créatifs en utilisant les divers outils de conception, couleurs et graphiques proposés par Canva.
Packt
Using Community Code
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you will gain a solid understanding of managing Python environments and the essential tools that facilitate code management within communities. You'll start with the basics of setting up and managing Python environments using tools like pip, pipenv, and conda. As you progress, you'll dive into more advanced techniques, making sure your development environment is efficient and tailored to your projects. You'll explore several methods to manage environments, starting from pip and virtual environments, moving on to the use of pipenv for advanced environment management, and finally mastering conda for full control. Each section is designed to give you practical, hands-on experience, including real-world projects like resizing images, analyzing data, and linking images on a webpage. The course also highlights the differences and advantages of each environment management tool. This course is perfect for developers looking to streamline their development processes, especially those who want to understand environment management in Python at a deeper level. It’s suitable for anyone with a basic understanding of Python who wants to learn advanced environment management techniques to manage dependencies and create isolated, reproducible environments for their projects.
Università Bocconi
Capital-investissement et capital-risque
Le cours traite de l’analyse du secteur du capital-investissement et du capital-risque. Ce cours permettra aux étudiants de comprendre parfaitement le mécanisme sous-jacent à la création et/ou l’élaboration d’une entreprise et le soutien financier qu’elle peut obtenir du système financier par le biais du capital-risque. Il vise à découvrir comment des intermédiaires financiers particuliers (appelés des investisseurs en capital-investissement) financent par le biais de titres des entreprises à différentes étapes de leur cycle de vie, du tout début (lancement et phase initiale) à une phase plus mûre (c’est-à-dire le développement, la maturité, etc.) ou en situation de crise ou de déclin. Le capital-investissement (appelé capital-risque, lorsque l’entreprise se trouve dans les premières phases de son cycle de vie) comprend des activités très différentes, comme le repérage, le conseil, les transactions, l’évaluation et le financement, en qualité d’intermédiaires financiers. PLAN DU COURS Le cours est composé de quatre modules : SEMAINE 1 : présentation du capital-investissement et du capital-risque SEMAINE 2 : présentation des investisseurs en capital-investissement : questions juridiques et imposition SEMAINE 3 : gestion des fonds de capital-investissement et de capital-risque SEMAINE 4 : évaluation des entreprises et transactions dans le secteur du capital-investissement SEMAINE 5 : examen final Dans ce cours, vous découvrirez des entretiens avec des intervenants et des professionnels pour fournir des exemples d’applications concrètes des contenus présentés. CONNAISSANCES RECOMMANDÉES est nécessaire de comprendre les concepts fondamentaux des principes de comptabilité des finances d’entreprise. Des connaissances préalables sur le capital-investissement et le capital-risque ne sont pas nécessaires, mais sont recommandées, étant donné que ce cours est conçu pour vous présenter les concepts fondamentaux du capital-investissement et du capital-risque.