The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Columbia University
HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Social/Peer Perspective)
HI-FIVE (Health Informatics For Innovation, Value & Enrichment) Training is an approximately 10-hour online course designed by Columbia University in 2016, with sponsorship from the Office of the National Coordinator for Health Information Technology (ONC). The training is role-based and uses case scenarios. No additional hardware or software are required for this course. Our nation’s healthcare system is changing at a rapid pace. Transformative health care delivery programs depend heavily on health information technology to improve and coordinate care, maintain patient registries, support patient engagement, develop and sustain data infrastructure necessary for multi-payer value-based payment, and enable analytical capacities to inform decision making and streamline reporting. The accelerated pace of change from new and expanding technology will continue to be a challenge for preparing a skilled workforce so taking this training will help you to stay current in the dynamic landscape of health care. This course is one of three related courses in the HI-FIVE training program, which has topics on population health, care coordination and interoperability, value-based care, healthcare data analytics, and patient-centered care. Each of the three courses is designed from a different perspective based on various healthcare roles. This second course is from a social or peer perspective, geared towards care coordinators, care/case managers, social workers, community health workers, patient navigators, peer coaches, behavioral health support, and other similar roles. However, we encourage anyone working in healthcare, health IT, public health, and population health to participate in any of the three trainings.
Universitat Autònoma de Barcelona
Guidance processes in Vocational Education and Training
The development of appropriate educational and vocational guidance in Vocational Education and Training (VET) requires action strategies from guidance and tutors as a way of tackling early leaving and supporting young people in their transition to and retention in VET. This MOOC aims to contribute to this end delivering topics related to Career Guidance and Counselling in VET education, as follows: core concepts, models and function; new approaches; orientation and tutorial strategies; good practices across Europe; and the future of career guidance and counselling in VET education. This MOOC represents a dynamic and accessible tool for VET counsellors, administrators, and tutors, and it is useful for guidance professionals providing access to proven and innovative methods to enhances the educational experience and success of VET students.
DeepLearning.AI
TensorFlow を使った畳み込みニューラルネットワーク
ソフトウェア開発者であれば、拡張性のあるAI搭載アルゴリズムを構築したい場合、構築ツールの使い方を理解する必要があります。この講座は今後学んでいく「TensorFlow in Practice 専門講座」の一部であり、機械学習用の人気のオープンソースフレームワークであるTensorFlowのベストプラクティスを学習します。 deeplearning.ai が提供する「TensorFlow in Practice 専門講座」の講座２では、講座１で構築したコンピュータビジョンモデルを改善するための高度な技法を学習します。現実世界の様々な形状とサイズがある画像の扱い方を探求し、畳み込みを通過する画像がたどる行程を視覚化して、コンピューターがどのようにして情報を「見る」かを理解し、損失と精度をプロットし、拡張とDropoutなど、過学習を防ぐための戦略を探求します。最後に、講座２では転移学習を紹介し、学習した特徴をモデルから抽出する方法を学びます。 アンドリュー・エンの「 The Machine Learning（機械学習）」と「Deep Learning Specialization（ディープラーニング専門講座）」では、機械学習とディープラーニングの最も重要かつ基本的な原理を学習します。deeplearning.aiが提供する新しい「TensorFlow in Practice 専門講座」では、TensorFlowを使用してそれらの原理を実装し、拡張性のあるモデルを構築して現実世界の問題に適用する方法を学びます。ニューラルネットワークの仕組みについての理解を深めるには、「ディープラーニング専門講座」を受講することをお勧めします。
Goldman Sachs
Fundamentals of Management, 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. This course focuses on the most critical resource for growth in your business – your employees. Understanding of human resource management covers topics from employee recruitment and selection to performance management and training and development. You will plan how to develop the team needed to achieve your vision for your business, while promoting a strong organizational culture that supports business growth. By the end of this course, you will have aligned your vision with your organizational structure, considered when it is beneficial to outsource or delegate, and reflected on performance management in your business. To help prepare you for this course, you may wish to take one of the other Goldman Sachs 10,000 Women courses, ‘Fundamentals of Leadership’, in which you will develop a Vision Statement and examine your leadership style. 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.
Microsoft
Connect Your Services with Microsoft Azure Service Bus
Azure lets you create applications composed of various components: website front-ends, back-end services, and triggered functions that perform compute-on-demand services. Azure also includes various communication strategies to let these various components pass data to each other. In this course, you will learn how to leverage these communication services to create scalable, efficient solutions out of testable components. This course will help you prepare for the Microsoft Certified: Azure Developer Associate certification. This course is part of a Specialization intended for developers who want to demonstrate their expertise in all phases of cloud development from requirements, definition, and design; to development, deployment, and maintenance; to performance tuning and monitoring. It is ideal for anyone interested in preparing for the AZ-204: Developing Solutions for Microsoft Azure exam. This is the second course in a program of 8 courses to help prepare you to take the exam. Each course teaches you the concepts and skills that are measured by the exam. By the end of this Professional Certificate program, you will be ready to take and sign-up for the Exam AZ-204: Developing Solutions for Microsoft Azure.
École normale supérieure
Statistical Mechanics: Algorithms and Computations
In this course you will learn a whole lot of modern physics (classical and quantum) from basic computer programs that you will download, generalize, or write from scratch, discuss, and then hand in. Join in if you are curious (but not necessarily knowledgeable) about algorithms, and about the deep insights into science that you can obtain by the algorithmic approach.
Scrum Alliance
Metrics that Matter: Improving Product Outcomes
In this course, learners will develop the ability to use metrics as a practical tool for alignment and better decision-making. They will explore how metrics support adaptable, impactful ways of working and how the right metrics can help teams understand progress, surface insights, and focus on outcomes that matter. Completing this course helps product professionals move beyond reporting for the sake of reporting. Learners will practice interpreting data in context, using metrics to guide conversations, and applying insights to real work rather than treating numbers as a control mechanism. The emphasis is on using metrics to support improvement and shared understanding, not compliance. What makes this course unique is its focus on mindset as much as measurement. Instead of teaching metrics as static indicators, the course shows how they become powerful when used thoughtfully and ethically. Designed by Scrum Alliance, this course helps learners strengthen their ability to guide teams and organizations using evidence, clarity, and agility in modern product environments.
Coursera
Advanced Programme Planning Phases Framework in ClickUp
By the end of this guided project, you will be fluent in creating Programme framework for the Planning Phases for diverse programmes. You will utilise a logical diagramming plan in an agile environment to develop the solution. This will enable you to identify and classify the required process for programmes and the functionality of domains involved in such complex undertaking. Furthermore, it will help develop a structural model for learning about the field of Programme Management. If you are interested in building up the knowledge leading to this guided project, the following is the link to: [ Developing Programme Management Blueprint with ClickUp] https://www.coursera.org/projects/program-blueprint This Guided Project is essential for individuals wanting to learn about the field, or looking to transition into working in Programme Management. This guided project is designed to engage and harness your visionary and exploratory abilities. You will use proven models in an agile environment with ClickUp to engage in a hands-on learning experience.
Coursera
Supplier, Inventory, and Spend Management
This course equips you to operationalize supplier onboarding and performance monitoring, keep inventories aligned with demand through trigger levels and cycle counts, and analyze spend to reveal cost-saving opportunities. Topics include creating and managing preferred-supplier lists, vendor master-data best practices, performance reporting cadence and data maintenance, document-control conventions, and accounts-payable controls such as the three-way match. You will practice inventory cycle-count procedures and replenishment triggers, and use basic spend–analytics techniques (pivoting, summarization) to identify primary cost drivers. The course is oriented toward maintaining data integrity across supplier and inventory systems and translating transactional records into actionable spend insights.
University of Glasgow
Data-Driven Leadership Skills Course 1: Leadership Narrative
This course will explore the theme of 'Authenticity' in leadership by introducing you to the history of leadership theory going back to Ancient Greece. We will establish how traditional leadership became so important. We will also explore how traditional leadership began to unravel when leadership went scientific. We explain how this new data-driven approach to leadership showed that leadership qualities alone do not explain leadership.
Packt
Building Smart Chatbots with LangChain
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’ll learn how to leverage LangChain to build intelligent chatbots that can perform a wide range of tasks. You’ll explore how LangChain's capabilities, including Chain of Thought, ReAct Reasoning, and PromptChaining, enhance chatbot intelligence and improve interaction quality. By understanding key LangChain concepts and applying them through hands-on projects, you will master the art of developing highly functional chatbots. The course begins with an introduction to LangChain, laying the foundation for chatbot development. Then, we dive into the key concepts that will form the backbone of your chatbot-building skills, like action plan generation and self-consistency. As you progress, you’ll work through a variety of LangChain projects, creating everything from SEO optimization chatbots to mental health support bots, providing you with real-world, practical experience. By taking this course, both aspiring developers and experienced professionals can gain invaluable expertise in building chatbots across multiple domains, from healthcare to e-commerce. It is ideal for those looking to understand and apply cutting-edge tools in conversational AI. By the end of the course, you will be able to create custom chatbots for a variety of use cases, integrate LangChain techniques for better user interaction, design both back-end and front-end chatbot applications, and develop chatbots with memory, accuracy, and contextual relevance.
Universidad de Chile
Abordaje del riesgo suicida en adolescentes y jóvenes
El suicidio en adolescentes y jóvenes se asocia en gran medida a problemas de salud mental. Sabemos que gran parte de los problemas de salud mental de la vida adulta se inician en la adolescencia y juventud. Por otra parte, se ha demostrado en diversos estudios internacionales que ha aumentado la prevalencia de problemas de salud mental en adolescentes y jóvenes respecto a los datos registrados antes de la pandemia. Dada la relevancia de esta temática, es que se ha diseñado este curso introductorio sobre abordaje del riesgo suicida en adolescentes y jóvenes. El curso está dirigido a población adulta que esté en contacto estrecho con adolescentes y jóvenes como: personas encargadas de grupos de jóvenes (ej. grupos deportivos, scouts, etc.), profesionales de la salud, docentes, familias, entre otras y que tenga interés en adquirir herramientas, desarrollar habilidades e implementar estrategias para un abordaje oportuno y adecuado del riesgo suicida en esta población. Con el mismo propósito, también este curso está dirigido a quienes en el futuro ejercerán un rol profesional con jóvenes (ej. estudiantes de carreras de la salud, de psicología, de trabajo social, de educación, etc.), a quienes ejercen el rol o ejercerán un rol en la comunicación sobre suicidio (ej. periodistas, estudiantes de periodismo), y a personal de primera línea en la atención de personas afectadas por esta temática, (ej. policías, bomberos/as, rescatistas, gendarmes, etc.). Al final del curso esperamos que puedas: • Reconocer la relevancia de abordar el riesgo suicida en adolescentes y jóvenes y el rol que tenemos todos y todas en su prevención considerando directrices de la Organización Mundial de la Salud, el cuestionamiento a los mitos y creencias erróneas, y el uso de una comunicación segura y responsable con el fin de favorecer un entorno protector. • Reconocer los factores asociados al riesgo suicida en adolescentes y jóvenes y aplicar herramientas para la detección y evaluación de su gravedad con el propósito de favorecer el acceso a los apoyos que se requieren. • Describir conductas y procedimientos iniciales a seguir frente a adolescentes y jóvenes con riesgo suicida para disminuir dicho riesgo de manera oportuna. • Describir el actuar más adecuado en el caso de una muerte por suicidio de una persona adolescente o joven, de manera de apoyar a las personas cercanas que han sufrido la pérdida, promover la recuperación saludable de la comunidad afectada y reducir el riesgo de comportamiento suicida imitativo. Alerta: Si usted tiene interés en esta temática porque conoce a una persona que presenta un potencial riesgo suicida, porque ha perdido a una persona cercana por suicidio o porque usted está con pensamientos de suicidio, le advertimos que el contenido del curso puede ser sensible y que éste, en ningún caso, reemplaza la atención de profesionales de la salud. Además, con el objetivo de proteger a otras personas de este contenido sensible, se recomienda la realización de este curso en un espacio privado, considerando el uso de audífonos para escuchar las lecciones. Este curso fue desarrollado por el Núcleo Milenio Imhay gracias al financiamiento de la Iniciativa Científica Milenio del Ministerio de Ciencia, Tecnología, Conocimiento e Innovación a través de su programa de Proyección al Medio Externo
Google Cloud
Dataflow: Qwik Start - Python
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will set up your Python development environment, get the Cloud Dataflow SDK for Python, and run an example pipeline using the Google Cloud Platform Console.
Google Cloud
Networking in Google Cloud: Fundamentals
"Networking in Google cloud is a 6 part course series. Welcome to the first course of our six part course series, Networking in Google Cloud: Fundamentals. This course provides a comprehensive overview of core networking concepts, including networking fundamentals, virtual private clouds (VPCs), and the sharing of VPC networks. Additionally, the course covers network logging and monitoring techniques. "
Fred Hutchinson Cancer Center
Researcher's guide to omic fundamentals
The course is intended for students in the biomedical sciences and researchers who have been given data and don’t know what to do with it or would like an overview of the different genomic data types that are out there. This course is written for individuals who: - Have genomic data and don’t know what to do with it. - Want a basic overview of genomic data types. - Want to find resources for processing and interpreting genomics data. Goal of this course: Equip learners with tutorials and resources so they can understand and interpret their genomic data in a way that helps them meet their goals and handle the data properly. This includes helping learners formulate questions they will need to ask others about their data What is not the goal Teach learners about choosing parameters or about the ins and outs of every genomic tool they might be interested in. This course is meant to connect people to other resources that will help them with the specifics of their genomic data and help learners have more efficient and fruitful discussions about their data with bioinformatic experts. The course is intended for students in the biomedical sciences who have been given data and don’t know what to do with it or would like an overview of the different genomic data types that are out there.
Coursera
Orchestrate, Analyze, and Evaluate ML Pipelines
This course teaches you how to design, evaluate, and operate reliable machine learning data pipelines in production. You’ll learn how daily ETL and ELT pipelines feed feature stores, how orchestration supports reproducible feature engineering, how to handle upstream schema changes without breaking downstream systems, and how to evaluate pipeline health using freshness, lag, and SLA metrics. Designed for data engineers, analytics engineers, and ML practitioners, the course builds job-ready judgment for delivering timely, trustworthy, and resilient data to ML systems.