The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
ESADE Business and Law School
La familia empresaria: individuo, dinámica y tiempo
En el tercer y último curso de la especialización, empezaremos profundizando en el análisis de la familia empresaria, veremos los modelos conservador y emprendedor así como la cultura individualista o comunitaria de esta. Luego pondremos el foco en el individuo como parte del conjunto, cuáles son sus motivaciones y su sentido de vida. Seguiremos tratando el concepto del tiempo en la empresa familiar, relacionándolo con el cambio de valores y los procesos de transformación, hasta terminar abordando la dinámica de la empresa familiar.
Board Infinity
Forecasting for Marketers: Mastering Google Analytics
In today’s data-driven marketing world, the ability to predict outcomes is a superpower. Forecasting for Marketers: Mastering Google Analytics helps professionals turn historical data into forward-looking insights that drive measurable results. Across 16 hours of immersive lessons, you’ll learn to merge marketing intuition with analytics precision, discovering how to forecast campaign performance, customer behavior, and ROI with confidence. You’ll start by mastering the fundamentals of marketing forecasting, understanding key models, statistical patterns, and real-world success stories. Then, you’ll dive into Google Analytics essentials, learning how to collect, clean, and prepare accurate data for predictive use. From there, you’ll build your own forecast models using practical, marketer-friendly statistical techniques and learn to validate their accuracy. The final module focuses on turning forecasts into strategy using insights to inform planning, budget allocation, and decision-making. You’ll also learn how to communicate forecast results through dashboards and executive presentations that inspire action. By the end, you will: • Build forecast models using marketing data • Identify key metrics influencing marketing performance • Translate forecasts into actionable insights • Apply data-backed forecasts to campaign planning This course is ideal for: • Marketing professionals seeking data-driven skills • Business analysts and digital marketers • Entrepreneurs optimizing marketing ROI • Students exploring marketing analytics careers Disclaimer: This course is an independent educational resource developed by Board Infinity and is not affiliated with, endorsed by, sponsored by, or officially associated with Alphabet Inc. or any of its subsidiaries or affiliates. This course is not an official preparation material of Alphabet Inc. All trademarks, service marks, and company names mentioned are the property of their respective owners and are used for identification purposes only.
Edureka
Securing AI Systems
Securing AI Systems is a hands-on course designed to help you safeguard machine learning applications against real-world threats. You will explore vulnerabilities such as adversarial attacks, data poisoning, and model theft, and then practice defense strategies through guided labs. By the end of the course, you will be able to secure AI pipelines, strengthen deployment environments, and implement monitoring and governance frameworks that ensure responsible AI use. This course is ideal for AI engineers, data scientists, cybersecurity professionals, and students aspiring to specialize in AI security. While prior knowledge of Python and basic machine learning concepts is recommended, all core security techniques will be taught step by step. Do not just build smarter AI. Build safer AI. Enroll now to gain the expertise needed to protect tomorrow’s intelligent systems,
Google Cloud
Orchestrating the Cloud with Kubernetes (Azure)
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to provision a complete Kubernetes cluster using Google Container Engine; deploy and manage Docker containers using kubectl; and break an application into microservices using Kubernetes’ Deployments and Services.
Google Cloud
Dataproc: Qwik Start - Console
This is a self-paced lab that takes place in the Google Cloud console. This lab shows you how to create a Google Cloud Dataproc cluster, run a simple Apache Spark job in the cluster, then modify the number of workers in the cluster, all from the gcloud Command Line. Watch these short videos, Dataproc: Qwik Start - Qwiklabs Preview and Run Spark and Hadoop Faster with Cloud Dataproc.
Google Cloud
Develop GenAI Apps with Gemini and Google Maps
This is a self-paced lab that takes place in the Google Cloud console. This lab focuses on how to build, and test proof of concept code snippets for a Travel Agent app that's built on the Gemini Pro model, the Vertex AI Python SDK, and the Google Maps API.
Google Cloud
Gemini Enterprise로 더 신속하게 지식 교환
직원들이 검색창 하나로 문서 스토리지, 이메일, 채팅, 티켓 시스템, 기타 데이터 소스에서 특정 정보를 찾을 수 있도록 설계된 강력한 도구인 Gemini Enterprise에는 Google의 전문적인 검색 및 AI 기술이 통합되어 있습니다. 또한 Gemini Enterprise 어시스턴트를 사용하면 브레인스토밍 및 조사는 물론 문서 개요를 작성하고 캘린더 일정에 동료를 초대하는 등의 작업에 도움이 되므로 직원들이 지식 관련 작업과 모든 종류의 협업을 빠르게 진행할 수 있습니다. (Gemini Enterprise의 이전 명칭은 Google Agentspace였으며, 이 과정에서 이전 제품 이름이 언급될 수 있습니다.)
Packt
Design for Learning: UX in Online Teaching
In today’s digital-first educational landscape, creating engaging and effective online learning experiences is essential. This course teaches learner-centered design principles that shape clear, inclusive, and impactful digital instruction—skills highly sought after in education, training, and edtech industries. You’ll learn how to apply cognitive learning principles, structure content for multiple formats (text, video, webinar), and adapt digital instruction to meet diverse learner needs. Whether you're designing new courses or improving existing ones, this course empowers you to create meaningful and measurable learning experiences. What sets this course apart is its practical, real-world approach to digital learning design. You’ll explore not just the "why" behind learning theories, but also the "how" of applying them in real teaching scenarios, with tools to evaluate success. This course is ideal for educators, instructional designers, content developers, and learning experience professionals. While prior experience in creating or delivering educational content is helpful, no technical background is required. Copyright © 2023 Jenae Cohn and Michael Greer. All rights reserved. Originally published by Rosenfeld Media, LLC. This course edition is published by Packt Publishing under license from Rosenfeld Media LLC. No part of this material may be reproduced, distributed, or transmitted in any form or by any means—electronic, mechanical, photocopying, recording, or otherwise—without prior written permission from the author or the publisher.
University of Colorado System
Grant Proposal Plans, Sections, and Resubmission
This course is targeted to early career and novice researchers writing their first major competitive biomedical / health research grant proposals. After the course, you will be able to: 1) Identify key decisions in planning a grant proposal that reflect scope, timeline, expected outcomes, and audience; 2) Describe key parts of a grant proposal, large and small sections, and best practices for each; and 3) Describe effective responses to reviewers and recognize common pitfalls to avoid. We are faculty at a major research institution with proven experience training others to research career success. Research grant proposal planning, writing, and resubmitting are key skills. This course is part of a larger Specialization called Grant Writing for Health Researchers. Please consider taking the other courses on (1) Biostatistics study design and analysis for grant proposals, and (2) Scientific writing. Together, these have been a recipe for success for researchers at the University of Colorado and beyond. Upon completion, you will earn an e-badge to display your new skills. Please join us!
L&T EduTech
Design of Transmission Line: Modelling and Performance
This course is designed to provide a detailed exploration of the critical elements involved in transmission lines' design, modeling, and performance assessment. By enrolling in this course, participants will not only gain theoretical knowledge but also practical skills that are directly applicable in the field of transmission line engineering. Whether you're a student aspiring to enter the industry or a professional seeking to deepen your expertise, this course offers a unique blend of theoretical insights and hands-on applications, equipping you with the tools to excel in this dynamic field. By the end of this course, you will be able to: • Master the intricacies of transmission line parameters, including inductance, and capacitance, with different configurations. • Evaluate the performance of short, medium, and long transmission lines, and employ ABCD constants for accurate modeling. • Investigate phenomena like corona discharge, electromagnetic interference, and corona loss measurements, essential for mitigating environmental impacts. • Gain proficiency in MATLAB for calculating transmission line parameters, enabling practical application in real-world scenarios. This course stands out for its hands-on MATLAB demonstrations, providing learners with practical skills for transmission line analysis. Additionally, it offers a specialized focus on corona discharge and its effects, addressing a critical aspect of high-voltage transmission. The inclusion of real-world case studies and environmental impact assessments further distinguishes this course as a holistic exploration of transmission line engineering. To be successful in this course, you should have a background in basic electrical engineering principles, including knowledge of circuit analysis, electromagnetism, and mathematical modeling. Familiarity with MATLAB or similar programming languages will be beneficial for hands-on exercises.
Northeastern University
Program Structure and Algorithms Part 1
This course will guide you through the essential principles of algorithms and their significance in computational problem-solving. You'll begin by exploring what an algorithm is, its core characteristics, and how it applies to real-world scenarios—from simple everyday tasks to complex computing challenges. As you progress, you will learn about the critical role algorithms play in improving efficiency and scalability across various fields. We’ll break down key concepts such as algorithmic complexity, helping you evaluate the efficiency of different approaches, which will ultimately guide your decision-making.
Google Cloud
Einbettungen, Vektorsuche und RAG mit BigQuery erstellen
In diesem Kurs wird eine Lösung für Retrieval-Augmented Generation (RAG) in BigQuery vorgestellt, die KI-Halluzinationen minimiert. Sie lernen einen RAG-Workflow kennen, der die Erstellung von Einbettungen, die Suche in einem Vektorraum und die Generierung verbesserter Antworten umfasst. Darüber hinaus werden die konzeptionellen Gründe für diese Schritte und ihre praktische Umsetzung mit BigQuery erklärt. Am Ende des Kurses werden Sie in der Lage sein, eine RAG-Pipeline mithilfe von BigQuery und generativen KI-Modellen wie Gemini zu erstellen und Modelle einzubetten, um KI-Halluzinationen zu verhindern.
University of Pennsylvania
Employment Contracts
The employment relationship is one of the foundations upon which modern society and the greater economy is built, but the nature of this relationship can be both complex and confusing. This course seeks to demystify the ways that U.S. contract law principles govern the fundamental relationship between employers and employees. We begin by examining the default rule of at-will employment that applies to most U.S. employment relationships, and we then consider the necessary elements required to create a binding employment relationship. We also explore how courts interpret the content of employment agreements as well as what factors courts consider in awarding damages when an employment agreement is breached. Finally, we take a deeper dive into employment-related agreements such as non-disclosure agreements, non-disparagement agreements, and mandatory arbitration clauses, and how the law has evolved to keep up with the changing nature of the fundamental employment relationship.
LearnKartS
GCP Computing and Storage Services
Welcome to the GCP Computing and Storage Services course! This course provides an in-depth exploration of Google Cloud Platform's (GCP) computing and storage services, designed to help you effectively manage, deploy, and scale applications using GCP infrastructure. Learners should have a basic understanding of cloud computing concepts and familiarity with GCP's interface and core services. Prior experience with cloud platforms and knowledge of fundamental IT concepts are recommended. By the end of this course, you will: - Understand the core computing services offered by GCP, including Compute Engine, Kubernetes Engine, and App Engine. - Learn how to deploy, manage, and scale applications using GCP's computing services. - Explore GCP's storage solutions, including Cloud Storage, Persistent Disks, and Cloud SQL. - Compare and contrast different storage options to determine the best fit for various use cases. - Gain insights into best practices for security, cost management, and performance optimization in GCP. - Apply practical skills through hands-on labs and real-world scenarios to reinforce learning and build confidence in using GCP services. The course includes engaging videos, practical assessments, and hands-on demos that will enrich your learning experience and ensure a thorough understanding of GCP's computing and storage services. Disclaimer: This course is not affiliated with or endorsed by Google Cloud. ‘Google Cloud’ and ‘GCP’ are trademarks of Google LLC.
University of Virginia Darden School Foundation
The Strategist's Challenge
In this course, you will develop your ability to think strategically, analyze the competitive environment, and recommend firm positioning and value creation. We will explore the underlying theory and frameworks that provide the foundations of a successful business strategy and provide the tools you need to understand that strategy including SWOT, Competitor, Environmental, Five Forces, and Capabilities Analyses.
Meta
Introduction to Front-End Development
Welcome to Introduction to Front-End Development, the first course in the Meta Front-End Developer program. This course is a good place to start if you want to become a web developer. You will learn about the day-to-day responsibilities of a web developer and get a general understanding of the core and underlying technologies that power the internet. You will learn how front-end developers create websites and applications that work well and are easy to maintain. You’ll be introduced to the core web development technologies like HTML and CSS and get opportunities to practice using them. You will also be introduced to modern UI frameworks such as Bootstrap and React that make it easy to create interactive user experiences. By the end of the course, you will be able to: - Describe the front-end developer role - Explain the core and underlying technologies that power the internet - Use HTML to create a simple webpage - Use CSS to control the appearance of a simple webpage - Explain what React is - Describe the applications and characteristics of the most popular UI frameworks For the final project in this course, you will create and edit a webpage using HTML and the Bootstrap CSS framework. Using a responsive layout grid, you will construct a responsive webpage containing text and images that looks great on any size screen. This is a beginner course intended for learners eager to learn the fundamentals of web development. To succeed in this course, you do not need prior web development experience, only basic internet navigation skills and an eagerness to get started with coding.