The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
Electronic Schematics: From Symbols to Systems
Understanding how to design, organize, and prepare electronic schematics for PCB development is a fundamental skill in electronics. Every reliable system starts with a well-organized schematic, but proper design practices, component selection, and hands-on exercises ensure your system works—whether for a hobby project, prototype, or professional application. This course guides you step-by-step through designing schematics from scratch using KiCad while applying industry best practices. You’ll learn to select components, manage symbol libraries, build hierarchical schematics, and prepare designs for PCB layout through practical demos. The course provides a structured and hands-on introduction to schematic design. Key highlights include step-by-step KiCad demos, real-world component selection, IPC standards application, hierarchical design techniques, and workflow continuity from annotation to BOM generation and netlist export. This course is designed for electronics beginners, engineering students, makers, and early-career hardware engineers who want to build strong, industry-ready schematic design skills. Whether you are preparing circuits for prototyping, academic projects, PCB fabrication, or professional hardware development, this course gives you the practical workflows needed to design clean, structured, and PCB-ready schematics using KiCad. It is well-suited for anyone working in electronics, embedded systems, or product design who wants to confidently create, document, and prepare circuits for manufacturing. Learners should have a basic understanding of electronics—such as current flow, voltage, and common components and general computer proficiency. Prior exposure to circuit diagrams or PCB design concepts is helpful but not required. The course is accessible to beginners with foundational electronics knowledge, while still providing substantial depth for learners aiming to transition into more advanced schematic and PCB development workflows. By the end of this course, you’ll not only understand the theory behind schematic design—you’ll be able to apply it confidently in real projects. With a strong foundation in component selection, symbol management, hierarchical design, and PCB-ready documentation, you’ll be equipped with the practical skills needed to take your electronic designs from concept to fabrication with clarity, precision, and professional industry standards.
Google Cloud
BigQuery로 임베딩, 벡터 검색, RAG 만들기
이 과정에서는 AI 할루시네이션을 완화하는 BigQuery의 검색 증강 생성(RAG) 솔루션을 살펴봅니다. 임베딩 만들기, 벡터 공간 검색, 개선된 응답 생성을 포함한 RAG 워크플로를 소개합니다. 또한 이 과정은 이러한 단계의 배경이 되는 개념을 설명하고 BigQuery를 통한 실질적인 구현 과정을 살펴봅니다. 이 과정을 마친 학습자는 BigQuery와 Gemini 및 임베딩 모델 같은 생성형 AI 모델을 사용하여 자신의 AI 할루시네이션 사용 사례를 해결하는 RAG 파이프라인을 빌드할 수 있게 됩니다.
Packt
ChatGPT for Salesforce Development
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. In this course, Salesforce developers and administrators will learn to leverage ChatGPT for enhanced productivity. -The course begins with an introduction to ChatGPT, covering account setup and navigation. -It progresses into practical applications, teaching you to create and automate Salesforce flows, simplifying complex tasks. -Advanced modules focus on developing Batch Apex classes with robust testing and high code coverage. -You will also learn to automate Apex Triggers for various scenarios, such as preventing high-priority case deletions and creating contacts automatically. -The course concludes with mastering validation rules to maintain data integrity. Combining theory with hands-on practice, this course makes Salesforce development more manageable and efficient, ensuring you gain the skills to automate and streamline your workflow with AI assistance. Ideal for developers with basic knowledge of Salesforce and its development environment, exploring ChatGPT and AI's role in Salesforce. Prerequisites include basic knowledge of Salesforce and its development environment.
Tecnológico de Monterrey
Liderazgo y comportamiento organizacional
El liderazgo está en todas partes. Está implicado en casi cada acción social. Muchas personas que tienen el potencial de ser líderes no se dan cuenta, necesitan desarrollar su potencial de liderazgo personal y organizacional. Muchos que se convierten en líderes no saben cómo manejar esas responsabilidades. Los grandes líderes pueden inspirar el cambio; los malos líderes pueden paralizar a sus seguidores con estrés y frustración. Lo que diferencia a estos dos es una visión clara, un plan eficaz y conocimiento de cómo trabaja la gente. Este curso en línea te entrega los conocimientos necesarios para que desarrolles tus habilidades de liderazgo organizacional. Aprenderás diferentes estilos de liderazgo. En este curso de liderazgo, aprenderás los fundamentos de la psicología en el trabajo, para que puedas comprender mejor a los demás y guiarlos hacia metas compartidas. Durante este curso, responderás estas preguntas: ¿Por qué quieres ser un líder? ¿Qué tipo de líder puedes ser? ¿Cómo puedes persuadir e influenciar a las personas? ¿Cómo puedes motivar e inspirar a la gente? ¿Eres un líder formal o informal?
Coursera
PySpark Foundations: Process, analyze, and summarize data
Did you know that a billion records are processed daily in PySpark by companies worldwide? As big data is on the rise, you’ll need tools like PySpark to process massive amounts of data. This guided project was designed to introduce data analysts and data science beginners to data analysis in PySpark. By the end of this 2-hour-long guided project, you’ll create a Jupyter Notebook that processes, analyzes, and summarizes data using PySpark. Specifically, you will set up a PySpark environment, explore and clean large data, aggregate and summarize data, and visualize data using real-life examples. By working on hands-on tasks related to analyzing employee data for an HR department, you will gain a solid knowledge of data aggregation and summarization with PySpark, helping you acquire job-ready skills. You don’t need any experience in PySpark, but knowledge of Python, including familiarity with basic Python syntax and data frame operations like filtering, grouping, and summarizing data, is essential to succeed in this project. Think you are ready? Let's take a deep dive into this insightful project.
Coursera
Automate, Optimize, and Benchmark Data Pipelines
Did you know that two pipelines performing the same task can differ in run time by over 10x depending on design choices? Benchmarking and automation are essential for building fast, scalable, and cost-efficient data systems. This Short Course was created to help data engineers and pipeline architects optimize data processing systems through performance benchmarking and automation scripting to enhance efficiency and scalability in enterprise environments. By completing this course, you will be able to compare competing pipeline designs using run-time metrics, justify the most efficient approach, and automate the creation of transformation models using configuration-driven scripts—skills that help you build smarter, faster, and more reliable data pipelines. By the end of this course, you will be able to: Evaluate competing pipeline designs by comparing run-time statistics to justify the faster option. Create an automated script to generate data transformation models from configuration files. This course is unique because it blends performance engineering with automation, giving you practical experience in benchmarking real pipelines and generating transformation workflows programmatically to support large-scale data operations. To be successful in this project, you should have: SQL experience Data transformation knowledge Basic scripting skills Familiarity with pipeline architecture
Packt
RESTful API with Express
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 dive into building RESTful APIs using Express, a Node.js framework. By the end, you'll have the skills to create a fully functional API, from setting up a Node project and installing necessary modules to handling routes, middleware, and data persistence. Along the way, you'll get hands-on experience creating routes, adding middleware, and setting up data models. You'll start by learning the basics of Express and how to build a simple application. From there, you’ll tackle more complex aspects such as implementing middleware, defining routes, and using tools like Postman to test your API. As you progress, you’ll learn how to model and persist data, ensuring your API can handle real-world use cases. The course covers advanced topics such as adding and tracking object locations, refactoring models, and incorporating universal identifiers for better data handling. Whether you're looking to expand your knowledge of backend development or build APIs from scratch, this course will provide you with the essential tools. This course is perfect for those interested in backend development, software engineers, or anyone keen to build scalable APIs. A basic understanding of JavaScript and Node.js is recommended, but the course is accessible to anyone with some programming background.
LearnQuest
Developing AI Applications on Azure
This course introduces the concepts of Artificial Intelligence and Machine learning. We'll discuss machine learning types and tasks, and machine learning algorithms. You'll explore Python as a popular programming language for machine learning solutions, including using some scientific ecosystem packages which will help you implement machine learning. Next, this course introduces the machine learning tools available in Microsoft Azure. We'll review standardized approaches to data analytics and you'll receive specific guidance on Microsoft's Team Data Science Approach. As you go through the course, we'll introduce you to Microsoft's pre-trained and managed machine learning offered as REST API's in their suite of cognitive services. We'll implement solutions using the computer vision API and the facial recognition API, and we'll do sentiment analysis by calling the natural language service. Using the Azure Machine Learning Service you'll create and use an Azure Machine Learning Worksace.Then you'll train your own model, and you'll deploy and test your model in the cloud. Throughout the course you will perform hands-on exercises to practice your new AI skills. By the end of this course, you will be able to create, implement and deploy machine learning models.
Google Cloud
生成式 AI 应用：改变工作方式
“生成式 AI 应用：改变工作方式”是 Generative AI Leader 学习路线的第四门课程。本课程介绍 Google 的生成式 AI 应用，例如 Gemini for Workspace 和 NotebookLM。它将引导您逐一了解接地、检索增强生成、构建有效提示和构建自动化工作流等概念。
Oracle
Oracle Data Platform Foundations Associate
In this course you will learn how Oracle's cloud data platform extends and complements its core databases. Understand how to architect data management platforms that work together to simplify and maximize productivity, while reducing cost and improving performance, reliability, and security.
Oracle
Oracle HeatWave MySQL Foundation
The Oracle HeatWave MySQL Foundations course is designed to introduce you to HeatWave's massively parallel, high-performance, native in-memory query acceleration. Learn about configuring the cluster and using the innovative Autopilot features to accelerate your MySQL performance by orders of magnitude for analytics and mixed workloads.
EDUCBA
Apply Kaizen & Master Defect Management with HP QC
By completing this course, learners will be able to define Kaizen principles, apply workplace improvement tools, demonstrate strategies for managing change, and master defect management using HP Quality Centre (QC/ALM). They will learn to log, track, update, and report defects while also fostering a culture of continuous improvement and efficiency. Learners will benefit by gaining a dual skill set: first, the ability to recognize and eliminate waste, improve workflows, and drive organizational adaptability through Kaizen; second, the technical expertise to enhance software quality assurance with structured defect management. This combination empowers professionals to bridge the gap between improvement philosophy and practical execution. What makes this course unique is its balanced integration of historical foundations, workplace methodologies, and technical defect management practices. Whether you are a manager seeking organizational efficiency or a tester aiming to improve quality processes, this course equips you with tools to lead change, boost collaboration, and deliver results with confidence.
Coursera
Get Started with Canva
In this 1 hour long project-based course, you will learn to use Canva which is an online graphic tool that is used to create designs for various categories. This course includes Canva introduction, exploration of Canva Dashboard, and then you will learn to create animated videos using the Canva platform. So we are going to create an animated COVID19 prevention video on Canva from the scratch. By the end of this project, you will be able to create amazing animated videos from the scratch using the Canva Platform and you will also learn how you can use different sections like text, images, elements, videos, and audio present on the Canva's dashboard to create your designs. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Duke University
Medical Neuroscience
Medical Neuroscience explores the functional organization and neurophysiology of the human central nervous system, while providing a neurobiological framework for understanding human behavior. In this course, you will discover the organization of the neural systems in the brain and spinal cord that mediate sensation, motivate bodily action, and integrate sensorimotor signals with memory, emotion and related faculties of cognition. The overall goal of this course is to provide the foundation for understanding the impairments of sensation, action and cognition that accompany injury, disease or dysfunction in the central nervous system. The course will build upon knowledge acquired through prior studies of cell and molecular biology, general physiology and human anatomy, as we focus primarily on the central nervous system. This online course is designed to include all of the core concepts in neurophysiology and clinical neuroanatomy that would be presented in most first-year neuroscience courses in schools of medicine. However, there are some topics (e.g., biological psychiatry) and several learning experiences (e.g., hands-on brain dissection) that we provide in the corresponding course offered in the Duke University School of Medicine on campus that we are not attempting to reproduce in Medical Neuroscience online. Nevertheless, our aim is to faithfully present in scope and rigor a medical school caliber course experience. This course comprises six units of content organized into 12 weeks, with an additional week for a comprehensive final exam: - Unit 1 Neuroanatomy (weeks 1-2). This unit covers the surface anatomy of the human brain, its internal structure, and the overall organization of sensory and motor systems in the brainstem and spinal cord. - Unit 2 Neural signaling (weeks 3-4). This unit addresses the fundamental mechanisms of neuronal excitability, signal generation and propagation, synaptic transmission, post synaptic mechanisms of signal integration, and neural plasticity. - Unit 3 Sensory systems (weeks 5-7). Here, you will learn the overall organization and function of the sensory systems that contribute to our sense of self relative to the world around us: somatic sensory systems, proprioception, vision, audition, and balance senses. - Unit 4 Motor systems (weeks 8-9). In this unit, we will examine the organization and function of the brain and spinal mechanisms that govern bodily movement. - Unit 5 Brain Development (week 10). Next, we turn our attention to the neurobiological mechanisms for building the nervous system in embryonic development and in early postnatal life; we will also consider how the brain changes across the lifespan. - Unit 6 Cognition (weeks 11-12). The course concludes with a survey of the association systems of the cerebral hemispheres, with an emphasis on cortical networks that integrate perception, memory and emotion in organizing behavior and planning for the future; we will also consider brain systems for maintaining homeostasis and regulating brain state.
Amazon Web Services
Amazon Macie - Getting Started
With Amazon Macie, you can discover data security risks and automatically protect against those risks. In this course, you will learn how Macie can help you simplify data security risk protection. This course will focus on the benefits, technical concepts, and native architecture of Macie. Through the course, you can test your knowledge and walk through a demonstration of how to use Macie in the console.
Google
Organize Projects and Measure Productivity with Scrum
Learn the five essential Scrum events and how to measure team productivity effectively. You'll practice planning and executing Sprints, conducting Daily Scrums, Sprint Reviews, and Sprint Retrospectives that drive continuous improvement. This course teaches you to create detailed Sprint plans and backlogs, facilitate productive retrospectives, and use key Scrum tools including burndown charts, velocity tracking, and Kanban boards to visualize workflow and measure team performance for data-driven project decisions. By the end of this course, you will be able to: - Organize and execute the five key Scrum events including Sprint Planning, Daily Scrums, Sprint Reviews, and Sprint Retrospectives - Create comprehensive Sprint plans and Sprint backlogs while facilitating effective retrospectives for continuous team improvement - Measure team productivity and visualize project progress using burndown charts, velocity tracking, and Kanban boards for data-driven insights