The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
The Hong Kong University of Science and Technology
Understanding Modern Physics II: Quantum Mechanics and Atoms
Course Overview: https://youtu.be/xyF-MmGNxd0 The 20th century was known as the century of physics. In the past 120 years, concepts such as space, time, energy, entropy and particles were understood to much deeper levels. New paradigms of thinking such as relativity and quantum mechanics emerged. This course is the second course in the Understanding Modern Physics series, which covers an introduction to quantum mechanics, atomic physics and quantum information. We will find (i) How the quantum world is different from our everyday experience, and why we need quantum mechanics; (ii) How to describe atoms in fundamental physics, why atoms do not collapse, and what are the atomic states; (iii) The nature of quantum information, and why quantum information is much richer than classical information.
Google Cloud
Building No-Code Apps with AppSheet: Automation
This course helps you recognize the need to implement business process automation in your organization. You learn about automation patterns and use cases, and how to use AppSheet constructs to implement automation in your app. You learn about the various features of AppSheet automation, and integrate your app with Google Workspace products. You also learn how to send email, push notifications and text messages from your app, parse documents and generate reports with AppSheet automation.
Johns Hopkins University
Exploratory Data Analysis
This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data. We will cover in detail the plotting systems in R as well as some of the basic principles of constructing data graphics. We will also cover some of the common multivariate statistical techniques used to visualize high-dimensional data.
Check Point Software Technologies Ltd.
Check Point Jump Start: Quantum Management
"Check Point's Quantum is the best Threat Prevention solution on the Market! It offers uncompromising Security, consistently preventing both known and unknown Zero-day attacks. Check Point Quantum Network Security provides ultra-scalable protection against Gen V cyber attacks on your network, cloud, data center, IoT, and remote users. This course includes these modules: 1. Intro 2. Installing Gaia 3. Running the First Time Wizard. 4. Installing SmartConsole 5. Establish SIC 6. Create & installing Policy 7. Enable application control blade 8. Enable IDA blade 9. Enable HTTPS Inspection 10. Enable Autonomous Threat Prevention 11. Adding License 12. CPUSE SmartConsole 13. Gathering cpinfo This course is suitable for new Check Point customers with no prior experience configuring or administrating Check Point Network Security products." To learn more about Check Point Training, see: https://www.checkpoint.com/mind/ https://training-certifications.checkpoint.com/#/
Packt
Fundamentals of AI, Machine Learning, and Python Programming
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. Embark on a transformative learning experience designed to equip you with a robust understanding of AI, machine learning, and Python programming. This course begins with a thorough introduction to artificial intelligence and machine learning, demystifying the core concepts and exploring how algorithms and data-driven techniques empower computers to learn and adapt. As you progress, you'll delve into the architecture of deep learning and neural networks, grasping how these advanced structures mimic human cognition to process complex data and make accurate predictions. Transitioning from theory to practical application, the course guides you through setting up your development environment with Anaconda, laying the groundwork for efficient coding and package management. You'll then immerse yourself in Python programming, mastering flow control mechanisms, data structures, and functions. The journey continues with an exploration of essential Python libraries such as NumPy, Matplotlib, and Pandas, providing you with the tools to handle data manipulation and visualization effectively. The latter part of the course focuses on advanced AI topics, including the installation and application of deep learning libraries like TensorFlow and PyTorch. You'll learn about the fundamental structures of artificial neurons and neural networks, and the crucial roles of activation functions, loss functions, and optimizers in training models. Through hands-on projects, such as building regression models for house price prediction and binary classification models for heart disease prediction, you'll apply your knowledge to real-world scenarios, reinforcing your learning and enhancing your practical skills. This course is designed for aspiring data scientists, machine learning enthusiasts, and Python programmers. It is ideal for beginners seeking a comprehensive introduction to AI and machine learning, as well as professionals looking to deepen their understanding of these technologies. Prerequisites include basic programming knowledge and a keen interest in artificial intelligence and data science.
Microsoft
Smarter Content Creation with Microsoft Copilot
This course is the third in a series that aims to transform your marketing capabilities with Microsoft Copilot's GenAI. Its focus is on content creation. In this course, you’ll familiarize yourself with the various types of content that can be created with Microsoft Copilot. You’ll then learn how to generate content ideas and generate a content calendar. And lastly, you'll step through the process of using Microsoft Copilot to generate high performing content at scale. By the end of this course, you’ll be able to: Explain the various types of content that can be created with Microsoft Copilot's GenAI Generate content ideas with Microsoft Copilot Produce high performing content at scale with Microsoft Copilot Required Course Materials: A Copilot license is required to complete this course. If you don’t have a Microsoft 365 Personal or Family license, you can start a free 30-day trial using the link provided in the course.
Google Cloud
Introduction to Generative AI - 繁體中文
這個入門微學習課程主要說明生成式 AI 的定義和使用方式，以及此 AI 與傳統機器學習方法的差異。本課程也會介紹各項 Google 工具，協助您開發自己的生成式 AI 應用程式。
Google Cloud
Responsible AI: Applying AI Principles with GC - Yкраїнська
Що більше штучний інтелект і машинне навчання використовуються в корпоративних середовищах, то нагальнішою стає потреба розробити принципи відповідального ставлення до них. Однак говорити про принципи відповідального використання штучного інтелекту легше, ніж застосовувати їх на практиці. Цей курс допоможе вам дізнатись, як запровадити відповідальну роботу зі штучним інтелектом у вашій організації. У цьому курсі ви дізнаєтеся про підхід Google Cloud до відповідального використання ШІ, а також отримаєте практичні поради й набудете досвіду, який допоможе вам розробити власний підхід до цього завдання.
University of Colorado System
Time, Change, and Decisions for Marketing
"Time, Change, and Decisions for Marketing" shows how advanced analytics can be used to adapt and optimize marketing strategies in response to evolving market conditions. Unique to this course is the integration of advanced analytics into strategic marketing decision-making, equipping learners with the skills and knowledge to lead data-driven marketing initiatives and coordinate strategies across teams for maximum business impact.
Commonwealth Education Trust
Foundations of Teaching for Learning: Introduction to Student Assessment
The Foundations of Teaching for Learning programme is for anyone who is teaching, or who would like to teach, in any subject and any context - be it at school, at home or in the workplace. With dynamic lessons taught by established and respected professionals from across the Commonwealth, this eight course programme will see you develop and strengthen your skills in teaching, professionalism, assessment, and more. As you carry on through the programme, you will find yourself strengthening not only your skills, but your connection with colleagues across the globe. A professional development opportunity not to be missed. There are various techniques which help to assess student learning. This course helps teacher to acquire the skills to develop and use appropriate assessment procedures. Enhance your course by joining the Commonwealth teaching community on our website, Facebook and Twitter.
Fudan University
编剧：像导演一样编剧
电影编剧不同于文学创作，它意味着要以影像化、动作化的方式赋予故事生命，在这个意义上，编剧不仅是导演，而且还是那个灵动的新世界的创造者。这个世界中的每一个人物命运，每一个起承转合，都表达着创作者对于人性的判断和立场。本课程将通过丰富的案例和针对性的练习，阐述电影编剧的基本步骤、基础知识和内在规律。
Google Cloud
Selecionar um banco de dados do GC para seus aplicativos
Neste curso, você vai aprender a analisar e escolher o banco de dados certo para suas necessidades, a fim de desenvolver aplicativos com eficiência no Google Cloud. Você vai conhecer bancos de dados relacionais e NoSQL, mergulhar no Cloud SQL, AlloyDB e Spanner, além de aprender a alinhar os pontos fortes do banco de dados com os requisitos do seu aplicativo, incluindo os de IA generativa. Ganhe experiência prática na configuração da pesquisa vetorial e na migração de aplicativos para a nuvem.
Universidade Estadual de Campinas
Saúde Baseada em Evidências
Por que as informações na área da saúde são tão conflitantes? Existe algum lugar em que a informação sobre saúde é confiável? O que devo considerar ao deparar com alguma novidade que parece mágica? Como o sistema de saúde é afetado por essas questões? Essas e outras perguntas nortearam o curso Saúde Baseada em Evidências. Além dessas reflexões, são apontados aspectos sobre o desenvolvimento de pesquisas médicas que fornecem subsídios para uma interpretação mais apurada dos fatos. Este curso reflete a experiência dos tutores no ensino desses tópicos para diversos públicos e soma-se a outras estratégias desenvolvidas no Brasil na área.
University of Illinois Urbana-Champaign
IoT Cloud
This course is the last course in our series of four courses and builds on the previous three courses: IoT Devices, IoT Communications, and IoT Networking. After we have built and programmed a small self-driving vehicle, we then set out to enhance its connectivity and add important security infrastructure. In this course we will now look closer into various remaining types of decentralized network topography. In the lab, we will additionally cover important cloud technologies based on machine-learning. In the first two weeks' lectures, we will cover important components of networks. Metaphorically speaking, when you learn how the human body works, you start by understanding the "organs", the stomach, the liver, and so on. Likewise, we can best understand networks by understanding the individual components that make them up and their function. In this lecture series we will study "devices" such as routers, switches, firewalls, load balancers, and many more. We will learn about how they individually operate, how they are configured, and how they work together to achieve various network-wide properties and goals.
Google Cloud
Migrate for Anthos: Windows
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will use Migrate for Anthos to migrate a Compute Engine VM running a Windows image into a Kubernetes Cluster using a processing cluster.
Google Cloud
Introduction to AI and Machine Learning on GC - 한국어
이 과정에서는 생성형 AI 프로젝트와 예측형 AI 프로젝트를 모두 개발하는 데 중점을 두고 Google Cloud의 AI 및 머신러닝(ML) 기능을 소개합니다. 데이터에서 AI로 이어지는 수명 주기 전반에 걸쳐 사용할 수 있는 다양한 기술, 제품, 도구를 살펴보고, 데이터 과학자, AI 개발자, ML 엔지니어가 대화형 실습을 통해 전문성을 강화할 수 있도록 지원합니다.