The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
University of Manchester
Our Earth: Its Climate, History, and Processes
Develop a greater appreciation for how the air, water, land, and life formed and have interacted over the last 4.5 billion years.
Google Cloud
Deploy a Hugo Website with Cloud Build and Firebase Pipeline
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to deploy a static Hugo based website using Cloud Build and Firebase.
Curtis Institute of Music
Exploring Beethoven's Piano Sonatas Part 4
Please join us for Part 4 of Exploring Beethoven's Piano Sonatas course, taught by Curtis faculty member and extraordinary concert artist, Jonathan Biss. This course is new and contains separate sets of lectures and sonatas that we not previously discussed. Specifically, in Part 4, we will cover Beethoven's Piano Sonatas Op. 2, No. 2, Op. 10, No. 3, Op. 28 and Op. 110. As with the other three Beethoven courses, it is not necessary to have taken the previous Exploring Beethoven's Piano Sonatas courses. We think you will be perfectly comfortable to start learning with Part 4, if you wish and go from here. There is always the option to go back to earlier parts at any time. Between these courses, there exists a large amount of additional resources and learning that might be helpful as you embark on Part 4. We certainly encourage you to take Parts 1, 2 and 3, if you have not yet. In the meantime, enjoy the class and Part 4 of Exploring Beethoven’s Piano Sonatas.
Amazon Web Services
Amazon Redshift Primer
This course introduces you to Amazon Redshift, the AWS service that provides cloud-native data warehousing. This course introduces you to the service and its core features and capabilities. You will see how this service integrates with other AWS services and be introduced to important terminology and technology concepts. The course includes a demonstration of Amazon Redshift and provides an assessment to help you gauge how well you understood the concepts covered.
University of Illinois Urbana-Champaign
Healthcare Innovation: Need/Opportunity Identification
This course offers a comprehensive and structured approach to identifying, validating, prioritizing, and selecting unmet, underserved, and unarticulated needs in healthcare, laying the foundation for meaningful, evidence-based innovation. Using a combination of real-world examples, stakeholder perspectives, and practical tools, learners will explore how to uncover high-impact opportunities that align with clinical, organizational, and policy priorities. Emphasizing both critical thinking and creative problem-solving, the course equips learners to assess the significance, feasibility, and strategic relevance of healthcare challenges, ultimately guiding them toward selecting the right opportunities for innovation. Whether learners plan to work in clinical care, health-tech startups, public health, or healthcare management, this course provides them with foundational tools to recognize and act on the right opportunities for innovation that are feasible, relevant, and aligned with stakeholder needs and systemic realities.
Google Cloud
Modernize Infrastructure and Applications with Google Cloud - 日本語版
多くの従来型企業はレガシー システムやレガシー アプリケーションを使用しているため、最新の顧客の期待に応えるために必要な規模とスピードを達成するのに苦労している場合が多々あります。ビジネス リーダーと IT 意思決定者は、レガシー システムを保守するか、それとも革新的な新製品やサービスに投資するかを絶えず選択する必要があります。 このコースでは、旧式の IT インフラストラクチャに関する課題と、企業がクラウド テクノロジーを使用してどのように IT インフラストラクチャをモダナイズできるかについて説明します。まず、クラウドで利用可能なさまざまなコンピューティング オプションとそれぞれの利点を把握してから、アプリケーションのモダナイゼーションとアプリケーション プログラミング インターフェース（API）を確認します。このコースでは、企業のシステムの開発と管理を改善するために役立つ一連の Google Cloud ソリューション（Compute Engine、App Engine、Apigee など）についても取り上げます。
Google Cloud
Görüntülere Altyazı Ekleme Modelleri Oluşturma
Bu kurs, derin öğrenmeyi kullanarak görüntülere altyazı ekleme modeli oluşturmayı öğretmektedir. Kurs sırasında görüntülere altyazı ekleme modelinin farklı bileşenlerini (ör. kodlayıcı ve kod çözücü) ve modelinizi eğitip değerlendirmeyi öğreneceksiniz. Bu kursu tamamlayan öğrenciler, kendi görüntülere altyazı ekleme modellerini oluşturabilecek ve bu modelleri görüntülere altyazı oluşturmak için kullanabilecek.
Khalifa University
AI for Executives: AI for Business Decision Making
AI for Business Decision Making equips managers and executives with practical, non-technical skills to lead AI-driven decisions across the enterprise. You’ll learn how supervised, unsupervised, and reinforcement learning improve decision accuracy; how to prepare data and engineer features; and how to train, validate, and integrate models into existing workflows and systems via APIs and automation. Through guided, hands-on notebooks, you’ll experiment with predictive analytics, Natural Language Processing (including sentiment analysis), and Large Language Models (LLMs) for real executive use cases—from customer feedback to process optimization and risk prediction. The course also covers governance and ethics (privacy, security, bias, explainability), human-in-the-loop design, and measuring business impact. Advanced topics introduce genetic/evolutionary methods and long-term reward optimization with reinforcement learning to inform strategy and planning. By the end, you’ll be able to select the right technique for a decision problem, evaluate model reliability, integrate AI into business processes, and build an actionable roadmap for sustainable, responsible AI adoption.
University of California, Davis
Designing and Implementing Your Coaching Strategy
In order to be an effective manager in increasingly fast-paced and complex organizational environments, coaching skills to develop and get the best work out of employees has become essential. Throughout the Coaching Skills for Managers specialization, we’ve discussed many topics for improving coaching conversations with our employees. It is now time to put all of that theory and discussion into practice as you solidify your coaching philosophy, develop your coaching practice and agendas, and demonstrate mastery at handling everyday coaching conversations! Please take note that this course builds upon all previous courses in the Coaching Skills for Managers specialization. While not required, it is highly recommended that students complete or be familiar with the topics covered in those courses before taking this course in order to be most prepared for the assignments in this course. You will use the leadership point of view developed in Course 1 to articulate your coaching philosophy, and produce clearly defined expectations for people on your team, as well as Key Performance Indicators you will use to evaluate performance, building on your work from Course 2. You will use the techniques learned in Courses 3 to prepare for and practice coaching conversations, and use what you have learned to provide feedback to your other colleagues in this project-based course. By the end of this project-based course, you will have developed and refined your entire coaching strategy to roll out with your team. Specifically, you will be able to define your coaching philosophy and explain it to someone else, develop a tailored coaching practice along with coaching agendas for your team in alignment with your organization's goals, and have an effective and productive coaching conversation with those you supervise.
Google Cloud
Responsible AI: Interpretability & Transparency - Deutsch
In diesem Kurs werden Konzepte in Bezug auf die Interpretierbarkeit und Transparenz von künstlicher Intelligenz vorgestellt. Sie erfahren, warum die Transparenz der KI für Entwickler-Teams wichtig ist. Dabei lernen Sie praktische Techniken und Tools kennen, mit denen Sie sowohl die Interpretierbarkeit als auch die Transparenz von Daten und KI-Modellen optimieren können.
The University of Tokyo
Interactive Computer Graphics
Computer graphics can be a powerful tool for supporting visual problem solving, and interactivity plays a central role in harnessing the users' creativity. This course will introduce various interactive tools developed in computer graphics research field with their design rationales and algorithms. Examples include enhancements to graphical user interfaces, authoring tools for 2D drawings and 3D animations, and interactive computer-aided design systems. Rich live demonstrations and course assignments will give you insights and skills to design and implement such tools for your own problems.
Packt
Advanced 3D Printing with Fusion 360: Design Your Phone Case
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. This project-based course takes you through the complete design and creation process of a custom phone case for the iPhone XR using Fusion 360. Starting with an introduction to the software, you'll first model the phone itself using official technical drawings. As the course progresses, you'll apply 3D printing techniques to craft a functional, hinged phone case with attachment features. You'll start by mastering the basics of 3D modeling, followed by creating a simple phone case before advancing to more complex elements like hinges and attachment clips. Along the way, you'll develop hands-on skills to design a grip attachment for ease of handling and a foldable tripod for added functionality. Each lesson is designed to build your knowledge step-by-step, culminating in a complete, printed phone case with multiple attachments. By the end of the course, you'll have gained expert-level proficiency in Fusion 360, enabling you to create detailed, professional-grade 3D models and attachments. With your new skills, you can modify and upgrade your designs, making them as functional or aesthetic as you desire. This course is ideal for intermediate to advanced users of Fusion 360 and those with basic knowledge of 3D printing. Familiarity with technical drawing interpretation will be beneficial, though not required.
National Academy of Sports Medicine
Anatomy, Physiology, and Kinesiology for Fitness Professions
In this course, you will gain the necessary scientific education that provides the groundwork for the application of safe and effective programming for fitness clients. Anatomy, Physiology, and Kinesiology are the sciences that provide the basis for fully understanding the parts of the body, how it works, and how it moves. It is vital for personal fitness trainers to have a strong understanding of anatomical structures, systems, and their functions to help guide clients in achieving their goals. By applying the understanding of Anatomy, Physiology, and Kinesiology in a fitness setting, you will be able to design and implement safe and effective exercise programs that meet the diverse needs of each client. This course will help you understand these concepts as a basis for applying them in real-world settings. By the end of the course, you will be able to: • Explain the importance of understanding Anatomy as a fitness professional. • Explain the importance of understanding Physiology as a fitness professional. • Explain the importance of understanding Kinesiology as a fitness professional. • Apply the understanding of Anatomy, physiology, and kinesiology in a fitness setting.
Rice University
Engineering Project Management: Risk, Quality, Teams, and Procurement
Many Project Managers focus only on the scope, schedule and budget. However, a successful project requires that you manage risk, control the quality of the deliverables, engage and manage people and procure goods and services. This course will focus on these key support functions that make the difference between a highly successful project and an average one. During the course, you will prepare a Qualitative Risk Analysis and Evaluate the Cost of Quality for a provided Case Study. By the end of this course you will be able to: • Identify positive and negative risks • Develop risk strategies • Perform a qualitative risk analysis • Identify cost contingencies and reserves • Develop a quality plan • Identify quality standards • Utilize cause and effect tools • Create a prioritization matrix • Develop a team management plan that includes team development, identifying team members and clarifies roles and responsibilities • Develop a procurement plan that includes contracts and incentives All of this will position you to understand the more intangible aspects of project management to drive better overall performance. Rice Center for Engineering Leadership is a Registered Education Provider through the Project Management Institute (PMI)®. Learners who complete this course on the Certificate track will be awarded 12 hours of Profession Development Units. These are recognized by PMI for continuing education or can be applied toward the 35 hours of education required for the Project Management Professional (PMP)® certification. *PMI and PMP are registered marks of the Project Management Institute, Inc.
IBM
Introduction to Neural Networks and PyTorch
PyTorch is one of the top 10 highest paid skills in tech (Indeed). As the use of PyTorch for neural networks rockets, professionals with PyTorch skills are in high demand. This course is ideal for AI engineers looking to gain job-ready skills in PyTorch that will catch the eye of an employer. AI developers use PyTorch to design, train, and optimize neural networks to enable computers to perform tasks such as image recognition, natural language processing, and predictive analytics. During this course, you’ll learn about 2-D Tensors and derivatives in PyTorch. You’ll look at linear regression prediction and training and calculate loss using PyTorch. You’ll explore batch processing techniques for efficient model training, model parameters, calculating cost, and performing gradient descent in PyTorch. Plus, you’ll look at linear classifiers and logistic regression. Throughout, you’ll apply your new skills in hands-on labs, and at the end, you’ll complete a project you can talk about in interviews. If you’re an aspiring AI engineer with basic knowledge of Python and mathematical concepts, who wants to get hands-on with PyTorch, enroll today and get set to power your AI career forward!
Princeton University
Алгоритмы, часть I
Данный курс охватывает ключевые знания об алгоритмах и структурах данных, которыми обязан владеть каждый профессиональный программист. При этом акцент сделан на практических областях применения и научном анализе эффективности алгоритмов, реализованных на Java. В части I рассматриваются элементарные структуры данных, а также алгоритмы сортировки и поиска. В части II освещаются алгоритмы обработки графов и строк. Все компоненты этого курса предоставляются бесплатно. При этом по завершении не выдаются какие-либо сертификаты.