The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
University of Michigan
Real Estate Development: Building Value in Your Community
“Real Estate Development: Building Value in Your Community” provides an introductory understanding of real estate and community development. You will learn the fundamentals of real estate development, including development stages, team building, project feasibility, social impact, and financial modeling. Through immersive, augmented reality experiences, you will be able to identify and analyze neighborhood-scale real estate development projects to determine feasibility and understand the implementation process. The course's unique focus on the community's history, demography, and culture will equip you with the knowledge to develop projects that center the community you’re building them in. By the end of the course, you will have gained the skills and knowledge to begin working with your community to invest in your area and create a positive impact for years to come.
Epic Games
Unreal Engine Fundamentals
Welcome to Unreal Engine Fundamentals course: Your gateway to the world of game design using Unreal Engine 5. In this introductory course, we'll equip you with essential skills to navigate Unreal Engine from a new user to a proficient game designer. We'll start by guiding you through setting up your account, downloading the engine, and familiarizing you with the interface. Then, we'll explore Quixel Megascans, asset importing, materials, world building, lighting, sound, and source control. Throughout the course, you'll learn to sculpt immersive environments, implement dynamic lighting, basic audio effects, and collaborate effectively with team members using source control. Are you ready to begin your game design journey with Unreal Engine? Let's dive in and discover the exciting possibilities this fantastic platform offers! This course is meant for learners who are looking to learn the basics of getting started with Unreal Engine. To take this course learners won't need any experience with Unreal Engine.
Google
ІТ-безпека: захист від цифрового кібершахрайства
Цей курс охоплює широкий спектр понять ІТ-безпеки, інструментів та найкращих практик. У ньому представлено загрози й атаки, а також багато способів їхнього прояву. Ми розповімо вам про алгоритми шифрування та про те, як вони використовуються для захисту даних. Далі ми розглянемо три аспекти інформаційної безпеки: автентифікацію, авторизацію та облік. Ми також розглянемо рішення мережевої безпеки, починаючи брандмауерами й закінчуючи параметрами шифрування Wi-Fi. Курс завершується об’єднанням усіх цих елементів у багаторівневу, поглиблену архітектуру безпеки, а потім рекомендаціями щодо того, як інтегрувати культуру безпеки у вашу організацію чи команду. Пройшовши цей курс, ви зрозумієте: ● як працюють різні алгоритми та методи шифрування, а також їхні переваги та обмеження; ● різні системи та типи автентифікації; ● різницю між автентифікацією та авторизацією; ● як оцінити потенційні ризики та рекомендувати способи їхнього зниження; ● найкращі практики захисту мережі; ● як допомогти іншим зрозуміти поняття безпеки та захистити себе.
University of London
Problems, Algorithms and Flowcharts
This course is the fourth of eight courses aiming to help you to become confident working with algorithms and data structure. You will learn the history of algorithms, discretisation and pseudocode and Euclidean algorithm in pseudocode.
Coursera
تعلّم أساسيات نظام التشغيل لينكس
في هذه الدورة التدريبية القائمة على المشروع والتي تستغرق ساعة واحدة، ستتعلم كيفية التعامل مع نظام التشغيل لينكس عن طريق استخدام الطرفية. ستتعرف على كيفية التعامل مع المجلدات والملفات، كيفية تغيير مكان العمل، كيفية إنشاء ملفات ومجلدات جديدة بالإضافة إلى كيفية نسخها، نقلها، ومسحها. كما ستتعرف على أنواع الأذونات وكيفية منحها وسحبها من المستخدمين. هذا المشروع لا يحتاج لأي خبرات سابقة في التعامل مع نظام التشغيل لينكس أو حتى في كيفية التعامل مع محرر الأوامر، هذا المشروع للمبتدئين تماما في التعامل مع لينكس أو مع محرر/ سطر الأوامر أو الطرفية. سيتيح لك هذا المشروع القدرة على التطبيق العملي بشكل فوري أثناء العملية التعليمية.
Google Cloud
矢量搜索和嵌入
在本次课程中，探索 AI 赋能的搜索技术、工具和应用。学习利用向量嵌入的语义搜索、融合语义和关键字的混合搜索方法，以及检索增强生成 (RAG) 技术，以打造基于事实的 AI 智能体，尽可能减少 AI 幻觉。获取 Vertex AI Vector Search 实战经验，打造您自己的智能搜索引擎。
Coursera
AI Agent Development Fundamentals
The AI Agent Development Fundamentals course is designed for developers, engineers, and technical product builders who are new to Generative AI but already have intermediate machine learning knowledge, basic Python proficiency, and familiarity with development environments such as VS Code, and who want to engineer, customize, and deploy open generative AI solutions while avoiding vendor lock-in. The course introduces learners to the core design patterns and practical skills required to build autonomous AI agents. Learners begin by studying the architectural foundations of agent systems, including perception, reasoning, and action loops, as well as the differences between reactive, deliberative, and hybrid agent types. The course then focuses on building simple reactive agents, where learners apply structured prompting, decision-making frameworks, and natural language understanding to implement predictable and testable behaviors. In the final module, learners extend their agents with tool-use and memory management capabilities, using function-calling patterns, conversation history maintenance, and context window optimization. Practical exercises emphasize building agents with resilience through error handling and recovery strategies. By the end of the course, learners will have created functional agents capable of integrating tools, maintaining memory, and performing autonomous tasks.
DeepLearning.AI
KI für alle
KI ist nicht nur für Ingenieure. Wenn Sie möchten, dass Ihre Organisation KI besser einsetzt, ist dies der Kurs, an dem alle – insbesondere Ihre nicht technischen Kollegen – teilnehmen müssen. In diesem Kurs lernen Sie: - Die Bedeutung der gängigen KI-Terminologie, dazu gehören neuronale Netze, maschinelles Lernen, Deep Learning und Datenwissenschaft - Was KI realistisch kann und was nicht - Wie Sie Möglichkeiten erkennen, KI bei Problemen in Ihrer eigenen Organisation anzuwenden - Wie man Projekte für maschinelles Lernen und Datenwissenschaften aufbaut - Wie Sie mit einem KI-Team zusammenarbeiten und eine KI-Strategie in Ihrem Unternehmen entwickeln - Wie man sich in ethischen und gesellschaftlichen Diskussionen rund um KI zurechtfindet Obwohl dieser Kurs größtenteils nicht technisch ist, können Ingenieure diesen Kurs auch nutzen, um die geschäftlichen Aspekte der KI kennenzulernen.
University of Lausanne
HEALTHY URBAN SYSTEMS - PART 1
Welcome to an immersive exploration of Urban Health Systems with our expertly developed MOOC, specifically designed for professionals and enthusiasts in Urban Health. This inaugural part of our MOOC series (consisting in 3 MOOCs) launches you into a comprehensive 4-week journey, navigating through multidisciplinary frameworks and analytical observations crucial to understanding urban health complexities. Attain 2 ECTS credits as you explore pivotal themes, including urbanization-planetary health connections and a “Health in All Policies” approach. Module 1 solidifies foundational knowledge of systemic approaches and key urban health issues, whereas Module 2 enhances your observational and analytical skills, introducing GIS, data stewardship, and innovative AI tools. The MOOC culminates with the creation of a systemic flow chart, ensuring a practical, applied understanding, thereby facilitating informed decision-making towards realizing sustainable, health-oriented urban environments. Engage in a profound learning journey where theoretical knowledge harmoniously meets practical application, sculpting the future of Urban Health Systems.
Coursera
GenAI for Algorithmic Trading
In the rapidly evolving world of finance, algorithmic trading strategies powered by generative AI (GenAI) are transforming how traders approach the markets. This hands-on course is designed to equip traders, financial analysts, and developers with the skills to leverage GenAI for enhanced trading performance. Participants will delve into setting up a GenAI trading environment, creating custom AI-driven strategies, and automating trading processes. Through real-world examples and practical exercises, learners will gain the expertise to build, test, and deploy GenAI-enhanced trading systems, making this course an essential toolkit for modern algorithmic trading. This course is designed for algorithmic traders, financial analysts, developers, and anyone interested in applying AI in trading. A foundational understanding of financial markets, trading principles, Python programming, as well as basic knowledge of machine learning (ML) and neural networks (NN), is recommended. By the end of this course, the learner will be able to create and test different GenAI based trading strategies. The learner will also be to optimize their portfolio using GenAI and other advanced techniques such as sentiment analysis.
University of Lausanne
Accounting 1
This is part of a two-class sequence on financial accounting. FINANCIAL ACCOUNTING I & II, held consecutively, will provide you with a strong foundation to tackle many financial issues. Accounting I covers the basics, while Accounting II deals with more advanced topics. The topics discussed are “general” and apply to accounting practices worldwide – whether in the USA, Europe, Asia, etc. You can take Accounting I on a standalone basis, or, you can take it as part of a two course sequence. Accounting is “the language of business”. It is spoken by managers, employees, investors, financial analysts, internal and external auditors, supervisory boards, management accountants, bankers and other decision-makers with whom managers regularly interact. It is widely agreed that future business leaders need to understand this language in order to interpret and use financial statements and other accounting information for internal management purposes (e.g., planning, directing, controlling) as well as corporate communication purposes (e.g., capital markets, banks, rating agencies). If you want to compete in this arena, it will be useful for you to acquire a working knowledge of accounting. This class is targeted to students having little, if any, background in financial accounting. At the end of the day, numbers are what matter in the business world. You just cannot escape them; hence, you should learn them well. Contrary to what you might believe, you cannot become a successful professional unless you master the numbers of the financial world. This is the class that will teach you how.
Kennesaw State University
An Employee's Guide to Cybersecurity
Cybersecurity awareness training course for employees of organizations of all sizes. Targeted at small and medium-sized organizations that may not have a complete training program prepared for use by the organization. This course presents cybersecurity fundamentals for employees of organizations that use information systems and want all users to have basic cybersecurity knowledge and skills.
Pearson
Cisco Certified Support Technician IT Support 100-140 Unit 3
This course provides an in-depth exploration of the ports, cables, and adapters you’ll encounter in real customer environments—from HDMI and USB to Ethernet and power cables. You’ll learn how to identify, select, and use the right cable types for any device, including how to adapt connections with converters and adapters. The course also dives into the inner workings of desktop computers, guiding you through the identification and installation of key components such as hard drives, RAM, graphics cards, and wireless adapters. You’ll gain practical experience using Device Manager to update and manage drivers, and develop a clear understanding of internal and external storage solutions. By mastering these foundational skills, you’ll be prepared to troubleshoot, upgrade, and maintain computer systems with confidence—making you a valuable asset in any IT support role.
Google Cloud
Cloud Next Generation Firewall の概要
このトレーニング コースでは、Cloud NGFW の概要を説明します。トピックには、Cloud NGFW が提供する一元化されたファイアウォール管理、一元化されたファイアウォールの可視性、高度な脅威保護、ファイアウォール インサイトなどが含まれます。
Institute for the Future
Urgent Optimism: How to Turn Foresight into Action
When you get better at thinking about the future, you get better at changing the future. This course will help you take all of the foresight skills you’ve developed so far and apply them to making real positive change in your life, in your work, and in the world around you. You’ll learn how to create and share “preferred futures”, which are highly persuasive, compelling visions of the changes you want to make real. You’ll use your preferred future to identify obstacles, recruit allies, collect resources, and plan action to make your vision real. You’ll also practice making “artifacts” from the future, which are creative representations of how everyday life might be different in the future. Artifacts can inspire others to join you in your quest to make a preferred future real. Leading futurists from the Institute for the Future will share with you their favorite future artifacts – and walk you through the entire creative process it took to make them. Every action we take today changes the future. This course will help you identify and take the actions that make the BIGGEST, most strategic impacts on the most urgent challenges you and society face. Many thanks to the Enlight Foundation and the Enlight Collaborative, which provided a grant to support the creation of this course.
EDUCBA
Deep Learning with ANN in Python: Build & Optimize
By the end of this course, learners will be able to configure a Python environment, preprocess and encode data, build Artificial Neural Network (ANN) architectures, generate predictions, and address imbalanced datasets using resampling techniques. Participants will gain hands-on experience with TensorFlow, Keras, and Anaconda while mastering practical skills in data preparation, model construction, and performance optimization. This course benefits students, data enthusiasts, and professionals seeking to strengthen their deep learning expertise with a focused, project-based approach. Unlike generic tutorials, it emphasizes a complete end-to-end workflow—from environment setup and data preprocessing to ANN design and evaluation—ensuring learners can independently create predictive models. What makes this course unique is its balance between conceptual clarity and real-world implementation. Learners not only understand the theory but also apply it directly to customer churn analysis, a practical business use case. With step-by-step lessons, quizzes, and guided projects, this course equips participants with the confidence to implement ANN models in real scenarios and transition smoothly into more advanced deep learning topics.