The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
University of Virginia
Strategic Planning and Execution
Avoid the pitfalls of strategy planning and execution with the tools and skills from this course. In this course, developed at the Darden School of Business at the University of Virginia and taught by top-ranked faculty, you'll learn the pillars of strategy execution--analysis, formulation, and implementation--and how to use the 4A model to effectively approach strategy execution. Finally, a panel of leaders from entrepreneurs, nonprofits, and industry, share their expertise gleaned from years of successful strategy planning and execution.
Scrimba
Advanced JavaScript 1: Objects, Loops, Hoisting
This advanced JavaScript course deepens your understanding of key programming concepts, equipping you with the tools to write more efficient and scalable code. Through hands-on lessons and challenges, you’ll explore key JavaScript features like hoisting, loops, and object destructuring, along with ternary operators and asynchronous functions like setTimeout and setInterval. You’ll also focus heavily on loops and methods for manipulating objects and arrays, gaining practical experience in modern function handling techniques such as arrow functions, default parameters, and callback functions. This interactive course is designed to enhance your learning with coding challenges and real-world problem-solving tasks. You'll be writing, testing, and refining code throughout, ensuring that you not only understand the concepts but also have the practical skills to implement them in various scenarios. By the end of this course, you will be able to solve complex challenges and apply best practices for structuring your code to handle real-world problems.
Google Cloud
Getting Started with Cloud KMS
This is a self-paced lab that takes place in the Google Cloud console. In this lab you'll work with advanced features of Google Cloud Security and Privacy APIs, including setting up a secure Cloud Storage bucket, managing keys and encrypted data using Key Management Storage, and viewing Cloud Storage audit logs.
Goldman Sachs
Fundamentals of Customers and Competition, with Goldman Sachs 10,000 Women
This free online course is one of 10 courses available in the Goldman Sachs 10,000 Women collection, designed for entrepreneurs ready to take their business to the next level. In this course, you will examine your customers’ buying process and explore the benefits of market segmentation. Through competitive analysis and identifying your competitive advantage, you will consider how an understanding of your customers and competitors can help you maximize the value of your offer, enabling you to achieve business growth. By the end of this course, you will have developed a clear Customer Value Proposition (CVP). This will enable you to communicate your business offering to your target audience in a compelling way. You will also have the opportunity to examine how the development of a pricing strategy can best support business growth. The 10,000 Women course collection offers a truly flexible online learning experience. You have the freedom to approach the program in any way that works for you – take any course, or combination of courses, to tailor your learning journey to your individual business growth needs. If you choose to take all 10 courses, you will explore all the key elements of your business and develop a thorough plan for your business’s growth. You can find out more about the Goldman Sachs 10,000 Women collection in the FAQs.
Coursera
Agentic AI Content for Practitioners (Teams: Legal)
Master Contract Review with Agentic AI Tools is an intermediate-level course designed for legal professionals, contract managers, and compliance officers who want to transform their contract review processes using autonomous AI systems. In today's complex regulatory environment, agentic AI offers unprecedented capabilities for contract analysis, risk assessment, and compliance validation. This course teaches you to harness AI tools that can independently analyze contracts, extract key clauses, validate compliance across multiple jurisdictions, and integrate seamlessly with existing legal workflows. Through hands-on exercises, real-world case studies, and practical implementation strategies, you'll learn to create AI-enhanced processes that reduce review time by 60-80% while maintaining professional standards. Whether you're analyzing routine vendor agreements or complex multi-jurisdictional contracts, this course provides the knowledge and tools to leverage agentic AI effectively, ensuring your legal team can focus on strategic counsel while AI handles routine analysis and compliance validation.
SoFi
Fundamentals of Investing
This is primarily aimed at novice investors who want to better understand the concept of investing and how it can fit into their overall financial plan. Taught by a CERTIFIED FINANCIAL PLANNER™ Professional, this course will cover different investment vehicles, risk tolerance, diversification, and the difference between active and passive investing, as well as investment fees and taxes. Whether you are just getting started investing or want to play a more active role in your investment decisions, this course can provide you the knowledge to feel comfortable in the investing decisions you make for yourself and your family. This course is geared towards learners in the United States of America.
SAP
Business Process Modeling and Analysis
Learn the skills of analyzing and modeling business processes using industry-standard approaches and SAP tools. Gain hands-on experience with SAP Signavio, learning how to create detailed process maps and diagrams that clearly visualize complex workflows. Explore the techniques for conducting thorough gap analysis, identifying discrepancies between current processes and desired outcomes. Discover how to use SAP Analytics Cloud to analyze process data, create compelling visualizations, and generate insightful reports to support data-driven decision making. Leverage AI tools like ChatGPT to enhance process analysis and streamline documentation. By the end of this course, you will learn skills to be able to: - Create professional process diagrams to visualize workflows - Identify inefficiencies in processes and suggest ways to fix them - Analyze data to make smart decisions for improving processes - Design better future workflows and document them clearly
Coursera
GenAI for Back-End Web Developers
GenAI for Back-End Web Developers is an in-depth course designed to explore the transformative impact of Generative Artificial Intelligence on back-end development. This course provides an understanding of how GenAI can be leveraged to enhance various development functions, including code generation, database management, API development, and performance optimization. This course is designed for web development team leaders and back-end developers who want to enhance their coding and system management capabilities using GenAI. It is also suitable for aspiring web engineering professionals looking to future-proof their skills and gain a competitive edge by mastering GenAI integration in web development. Participants should have a basic understanding of back-end development concepts, including server-side languages, databases, and APIs. Familiarity with development tools like Git, Docker, and various IDEs is recommended, along with a curious and open mindset towards learning new technologies and integrating GenAI tools into their workflows. By the end of this course, developers will be equipped with the knowledge and skills to harness the transformative potential of GenAI, driving efficiency, innovation, and strategic insights in their work.
University of Toronto
Visual Perception for Self-Driving Cars
Welcome to Visual Perception for Self-Driving Cars, the third course in University of Toronto’s Self-Driving Cars Specialization. This course will introduce you to the main perception tasks in autonomous driving, static and dynamic object detection, and will survey common computer vision methods for robotic perception. By the end of this course, you will be able to work with the pinhole camera model, perform intrinsic and extrinsic camera calibration, detect, describe and match image features and design your own convolutional neural networks. You'll apply these methods to visual odometry, object detection and tracking, and semantic segmentation for drivable surface estimation. These techniques represent the main building blocks of the perception system for self-driving cars. For the final project in this course, you will develop algorithms that identify bounding boxes for objects in the scene, and define the boundaries of the drivable surface. You'll work with synthetic and real image data, and evaluate your performance on a realistic dataset. This is an advanced course, intended for learners with a background in computer vision and deep learning. To succeed in this course, you should have programming experience in Python 3.0, and familiarity with Linear Algebra (matrices, vectors, matrix multiplication, rank, Eigenvalues and vectors and inverses).
Michigan State University
Gathering and Developing the News
Journalists develop information through interviews and sources. The most successful journalists quickly master these important skill sets. The production of journalism relies on several elements: newsgathering, interviewing sources, researching and trying to find as much information as possible. The course will also teach you how to where to find information, interviewing skills and how to process information from various sources for publication.
University of Washington
الخطابة الإقناعية: تحفيز الجماهير بالحجج المُقنِعة واللغة المؤثِّرة
في المجال المهني، يجب أن نكون قادرين على برهنة أفكارنا بالحجج المنطقية بدون الدخول في مواضع جدال أو نزاع. سواء كنت تسعى إلى جمع الأموال لمنظمات غير ربحية، أو تقديم عرض عمل، أو اقتراح تغيير في سياسة الشركة، فعليك أن تُبرهِن على صحة حججك للنجاح في مسعاك. لذا، يجب أن يكون هدفك أثناء عرض موضوعك زيادة الوعي، وتحديد المشكلات الملِّحة، ومناقشة الحلول المناسبة، وتحديد خطوات معيَّنة للجمهور. ولكي تكون مُقنِعًا، يجب أن تكون واضحًا في عرض أفكارك (فربما يتمتع الجمهور بمعرفة قليلة عن الموضوع أو قد لا يدري أي شيء عنه على الإطلاق)، ويجب أن تكون أفكارك دامغة (من خلال محاولتك التأثير على جمهورك وإقناعهم أنّ حجتك صحيحة ومنطقية)، ويجب أيضًا أن يكون أسلوبك حاسمًا (من خلال تحفيز الجمهور بما فيه الكفاية حتى تلمس رغبة الناس في اتخاذ إجراءات محددة). وبالتالي، تتطلَّب الخطابة الإقناعية عرض أفكار واضحة ووضع إستراتيجية فعّالة والإلمام الشامل بالموضوع المطروح، بالإضافة إلى التمتُّع بشخصية وحضور قويين. عند انتهاء هذه الدورة التدريبية، ستتمكَّن من وضع خُطَب إقناعية تستعرض أي مشكلة وحلولها وتحفِّز الجمهور. وستتمكَّن من استخدام الأساليب البلاغية بصورة إستراتيجية وإلقاء خُطَب حماسية ومُقنِعة. سيسجِّل الدارسون الخُطَب وسيتبادلون الملاحظات مع زملائهم.
Google
Analyser les données pour répondre aux questions
Il s'agit du cinquième cours du certificat Google Data Analytics. Ces cours vous permettront d’acquérir les compétences dont vous avez besoin pour postuler les emplois d’analyste de données de niveau junior. Dans ce cours, vous explorerez la phase d’« analyse » du processus d'analyse des données. Vous prendrez ce que vous avez appris jusqu'ici et l'appliquerez à votre analyse pour donner un sens aux données que vous avez collectées. Vous apprendrez à organiser et à formater vos données à l'aide de feuilles de calcul et de SQL pour vous aider à regarder et à penser à vos données de différentes manières. Vous découvrirez également comment effectuer des calculs complexes sur vos données pour atteindre des objectifs commerciaux. Vous apprendrez à utiliser des formules, des fonctions et des requêtes SQL pour mener à bien votre analyse. Des analystes de données actuellement chez Google vous instruiront et vous fourniront des moyens pratiques d’accomplir les tâches courantes des analystes de données, avec les meilleurs outils et ressources. Les participants qui terminent cette formation certifiante seront préparés à postuler à des emplois d’analyste de données de niveau junior. Aucune expérience préalable n’est nécessaire. D’ici la fin de ce cours, vous : - apprendrez à organiser les données pour les analyser ; - découvrirez les processus de formatage et d'ajustement des données ; - comprendrez comment agréger des données dans des feuilles de calcul et en utilisant SQL ; - utiliserez des formules et des fonctions dans des feuilles de calcul pour les calculs de données ; - apprendrez à effectuer des calculs à l'aide de requêtes SQL.
Pearson
AWS Developer: Unit 10
This course is about improving workflows using AWS's execution services. You will learn about AWS Elastic Beanstalk, Kinesis, Lambda, and API Gateway, gaining practical experience in deploying and managing applications without dealing with infrastructure. By the end of the course, you will be able to deploy web applications with Elastic Beanstalk, process real-time data with Kinesis, execute serverless functions with Lambda, and create secure APIs with API Gateway.
UiPath
UI Automation and Selectors
The UI Automation and Selectors course provides a deep understanding of the different methods used while interacting with the User Interface of different applications like Excel, Word, CRM, Websites while building automation projects. It introduces the Recording feature and the different recordings available in Studio to record user actions and generate workflows. It will also provide knowledge about Selectors and how they are beneficial while building automation projects. The course has multiple practice exercises that will help strengthen your knowledge and understand the creation of workflows in Studio.
University of California San Diego
Basic Data Processing and Visualization
This is the first course in the four-course specialization Python Data Products for Predictive Analytics, introducing the basics of reading and manipulating datasets in Python. In this course, you will learn what a data product is and go through several Python libraries to perform data retrieval, processing, and visualization. This course will introduce you to the field of data science and prepare you for the next three courses in the Specialization: Design Thinking and Predictive Analytics for Data Products, Meaningful Predictive Modeling, and Deploying Machine Learning Models. At each step in the specialization, you will gain hands-on experience in data manipulation and building your skills, eventually culminating in a capstone project encompassing all the concepts taught in the specialization.
Packt
Generative AI, LLMs, and Advanced Applications with Python
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. Delve into the world of generative AI and large language models (LLMs) with hands-on applications using Python. You'll explore the power of Variational Auto-Encoders (VAEs) and Generative Adversarial Networks (GANs) to create synthetic data, including images and music. Alongside, you'll get to grips with Transformers and self-attention mechanisms, which are foundational to models like GPT and ChatGPT, unlocking advanced AI applications. Learn the intricacies of GPT architecture, including tokenization and fine-tuning, and apply these concepts using tools like Hugging Face and Google Colab. The course also covers cutting-edge topics such as Retrieval Augmented Generation (RAG) and advanced LLM agents. Through interactive activities, you’ll create powerful AI applications like chatbots and personalized systems. This course is designed for learners aiming to advance their knowledge of AI, machine learning, and Python, with a focus on generative models and LLMs. If you want to build your own AI-driven applications and deepen your understanding of state-of-the-art AI technologies, this course is for you.