The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Simplilearn
Selenium Course for Beginners
This comprehensive Selenium course equips you with the skills to automate web applications using industry-leading tools from the Selenium suite. Begin by mastering the fundamentals—understand the purpose of Selenium, its key components like Selenium IDE and WebDriver, and how they simplify browser-based automation. Get hands-on with guided demos to create and run test scripts. Progress to advanced automation techniques using Selenium WebDriver to implement real-world scenarios. Learn how to scale testing with Selenium Grid for efficient parallel and cross-browser execution. Discover how Selenium enhances testing speed, accuracy, and overall QA effectiveness. You should have a basic understanding of HTML, web technologies, and any programming language such as Java or Python. By the end of this course, you will be able to: - Understand Selenium: Learn the role of IDE, WebDriver, and Grid in automation - Automate Testing: Build and run browser-based tests using Selenium tools - Apply Real Scenarios: Implement practical web testing with WebDriver - Scale Testing: Use Selenium Grid for cross-browser and parallel testing Ideal for testers, QA engineers, and developers aiming to streamline and scale web automation processes.
University of Washington
Practical Predictive Analytics: Models and Methods
Statistical experiment design and analytics are at the heart of data science. In this course you will design statistical experiments and analyze the results using modern methods. You will also explore the common pitfalls in interpreting statistical arguments, especially those associated with big data. Collectively, this course will help you internalize a core set of practical and effective machine learning methods and concepts, and apply them to solve some real world problems. Learning Goals: After completing this course, you will be able to: 1. Design effective experiments and analyze the results 2. Use resampling methods to make clear and bulletproof statistical arguments without invoking esoteric notation 3. Explain and apply a core set of classification methods of increasing complexity (rules, trees, random forests), and associated optimization methods (gradient descent and variants) 4. Explain and apply a set of unsupervised learning concepts and methods 5. Describe the common idioms of large-scale graph analytics, including structural query, traversals and recursive queries, PageRank, and community detection
DeepLearning.AI
Generative AI with Large Language Models
In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications. By taking this course, you'll learn to: - Deeply understand generative AI, describing the key steps in a typical LLM-based generative AI lifecycle, from data gathering and model selection, to performance evaluation and deployment - Describe in detail the transformer architecture that powers LLMs, how they’re trained, and how fine-tuning enables LLMs to be adapted to a variety of specific use cases - Use empirical scaling laws to optimize the model's objective function across dataset size, compute budget, and inference requirements - Apply state-of-the art training, tuning, inference, tools, and deployment methods to maximize the performance of models within the specific constraints of your project - Discuss the challenges and opportunities that generative AI creates for businesses after hearing stories from industry researchers and practitioners Developers who have a good foundational understanding of how LLMs work, as well the best practices behind training and deploying them, will be able to make good decisions for their companies and more quickly build working prototypes. This course will support learners in building practical intuition about how to best utilize this exciting new technology. This is an intermediate course, so you should have some experience coding in Python to get the most out of it. You should also be familiar with the basics of machine learning, such as supervised and unsupervised learning, loss functions, and splitting data into training, validation, and test sets. If you have taken the Machine Learning Specialization or Deep Learning Specialization from DeepLearning.AI, you’ll be ready to take this course and dive deeper into the fundamentals of generative AI.
Universidad de Palermo
Programación Orientada a Objetos con Java
Si tienes conocimientos básicos de Java y quieres iniciarte en el mundo de la programación orientada a objetos, este curso es para ti. A medida que progresemos, analizaremos los conceptos básicos de la orientación a objetos para ir avanzando hacia conceptos más avanzados. Con ello, lograrás adentrarte en el mundo del diseño orientado a objetos. Con este curso, aprenderás a aplicar estos conceptos en tus programas Java, plasmarlos en código y aprovechar al máximo las herramientas que brinda el lenguaje. Los objetivos del curso son: - Comprender los conceptos fundamentales de la programación orientada a objetos. - Entender cómo se relacionan los objetos entre sí y cómo conforman un programa y hacen al funcionamiento de éste. - Conocer y aplicar las herramientas que brindan los lenguajes orientados a objetos y su utilidad. Aplicarlas al momento de codificar con Java. - Iniciarse en el diseño orientado a objetos.
University of Virginia Darden School Foundation
Building Generative AI Capabilities
The Building a Generative AI Capabilities course provides you with the holistic insights of AI in marketing and the impact of the internal and external strategic considerations of AI to support and sustain marketing strategies. You will learn how to successfully develop an AI strategy and roadmap for your organization using the AI Marketing Canvas and understand how the AI Marketing Canvas supports AI from a non-traditional data-based approach as a competitive advantage. You will also learn how key ethical considerations affects AI in marketing. This course is ideal for marketing professionals looking to stay ahead of the competition and develop or refine their AI strategy and roadmap for their marketing organization.
Johns Hopkins University
Documentation and Usability for Cancer Informatics
Introduction: Cancer datasets are plentiful, complicated, and hold information that may be critical for the next research advancements. In order to use these data to their full potential, researchers are dependent on the specialized data tools that are continually being published and developed. Bioinformatics tools can often be unfriendly to their users, who often have little to no background in programming (Bolchini et al. 2008). The usability and quality of the documentation of a tool can be a major factor in how efficiently a researcher is able to obtain useful findings for the next steps of their research. Increasing the usability and quality of documentation for a tool is not only helpful for the researcher users, but also for the developers themselves – the many hours of work put into the product will have a higher impact if the tool is usable by the target user community. 70% of bioinformatics tools surveyed by Duck et al. (2016) were not reused beyond their introductory publication. Even the most well-programmed tool will be overlooked by the user community if there is little to no user-friendly documentation or if they were not designed with the user in mind. Target Audience: The course is intended for cancer informatics tool developers, particularly those creating tools as a part of the Informatics Technology Cancer Research. Learning Objectives: 1. Understanding why usability and documentation is vital 2. Identifying your user community 3. Building documentation and tutorials to maximize the usability of developed tools 4. Obtaining feedback from your users Curriculum: This course will demonstrate how to: Understanding why usability and documentation is vital, Identifying your user community, Building documentation and tutorials to maximize the usability of developed tools, Obtaining feedback from your users The course includes a hands-on exercises with templates for building documentation and tutorials for cancer informatics tools. Individuals who take this course are encouraged to use these templates as they follow along with the course material to help increase the usability of their informatics tool. This course is part of a series of courses for the Informatics Technology for Cancer Research (ITCR) called the Informatics Technology for Cancer Research Education Resource. This material was created by the ITCR Training Network (ITN) which is a collaborative effort of researchers around the United States to support cancer informatics and data science training through resources, technology, and events. This initiative is funded by the following grant: National Cancer Institute (NCI) UE5 CA254170. Our courses feature tools developed by ITCR Investigators and make it easier for principal investigators, scientists, and analysts to integrate cancer informatics into their workflows. Please see our website at www.itcrtraining.org for more information.
Coursera
GenAI for Project Managers: Scaling with GenAI
Welcome to the "GenAI for Project Managers" course offered by the GenAI Academy. This course is designed to explore the transformative potential of Generative Artificial Intelligence (GenAI) within the field of Project Management. Through interactive discussions, video demonstrations, and hands-on exercises, you will learn how to utilize GenAI to streamline project planning, execution, and monitoring & control processes. This course is designed for experienced Project Managers who want to stay up-to-date with the latest technologies, newcomers looking to future-proof their skillset and gain a competitive edge, and professionals seeking to enhance their project management skills and remain relevant in the industry. No prior technical knowledge is required for this course. However, a solid understanding of Project Management principles and practices is essential to fully benefit from the material. Upon completing the course, Project Managers will gain the expertise and competencies necessary to leverage GenAI's capabilities to boost productivity, reduce costs, and enhance collaboration. Whether you're an experienced Project Manager seeking to stay ahead of the curve or a newcomer looking to future-proof your skillset, this course provides a solid foundation for unlocking new levels of efficiency, innovation, and success in your professional endeavors.
Pearson
CCNA 200-301 Version 1.1: Unit 2
This course is designed to teach you how to configure and troubleshoot VLANs, understand EtherChannel basics, and manage trunking and inter-switch connections. You'll also learn about Rapid PVST+ Spanning Tree Protocol and the differences between TCP and UDP for better network performance. By the end, you'll have the skills to handle complex network issues and maintain smooth communication across your network.
Google Cloud
Gemini in Google Sheets - Español
Gemini para Google Workspace es un complemento que les proporciona a los clientes funciones potenciadas por IA generativa en esta plataforma. En este minicurso, aprenderás sobre las funciones clave de Gemini y cómo se pueden usar para mejorar la productividad y eficiencia en Hojas de cálculo de Google.
Fundação Instituto de Administração
Gestão da Cadeia de Suprimentos
Nossas boas-vindas ao Curso Gestão da Cadeia de Suprimentos. Neste curso, você aprenderá sobre os principais conceitos necessários para entender o que é a cadeia de suprimentos, como ela pode gerar maior valor para a empresa, quais são as novas tecnologias que permitem uma maior eficácia na sua gestão e como podemos personalizar a oferta para os segmentos de cliente da empresa. Ao final deste curso, você será capaz de compreender os desafios encontrados em toda a cadeia de suprimentos e como as novas ferramentas tecnológicas tem auxiliado nesse processo, sempre com o objetivo de melhorar a experiência dos clientes e gerar valor para a empresa. Este curso é composto por quatro módulos, disponibilizados em semanas de aprendizagem. Cada módulo é composto por vídeos, leituras e testes de verificação de aprendizagem. Ao final de cada módulo, temos uma avaliação de verificação dos conhecimentos. Estamos muito felizes com sua presença neste curso e esperamos que você tire o máximo de proveito dos conceitos aqui apresentados. Bons estudos!
Princeton University
Algorithms, Part II
This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms. All the features of this course are available for free. People who are interested in digging deeper into the content may wish to obtain the textbook Algorithms, Fourth Edition (upon which the course is based) or visit the website algs4.cs.princeton.edu for a wealth of additional material. This course does not offer a certificate upon completion.
University of Minnesota
Healthcare Delivery Providers
Welcome to the exciting world of Healthcare Delivery Providers! This second course in the Healthcare Marketplace Specialization will help you understand the various providers of healthcare across the U.S. delivery continuum. We will explore the unique value proposition of the various providers- from hospitals and clinics to physicians to community based providers. We will dissect this important value chain using various lenses such as- site of care delivery, people who provide the care and payers who pay for care. You will also learn about the challenges facing these providers and the innovations they are creating in order to help transform this important industry. I will use readings such as a case study and videos to make this learning more experiential for you, so that you can see and feel the world of healthcare delivery. I will also explain the various acronyms and specialized terms used in healthcare, so that you become more proficient and familiar with the language. Given the fact that Healthcare is one of the largest industries in the U.S. and growing at an rapid pace, it is critical that current and future leaders understand the internal and external drivers that are shaping this industry. Current and future leaders will need to constantly innovate in order to sustain this industry into the future- by creating value for the end customer and the entire population, as well as increasing engagement of the humans who work within this industry. Get ready to take a deep dive into the complex ocean that is U.S. healthcare delivery- and make sure your oxygen tank is securely fastened!
LearnKartS
Architecting in AWS
Welcome to the Architecting in AWS course! The 'Architecting in AWS' course aligns with the AWS Certified Solutions Architect - Associate certification requirements. It assumes you have a basic understanding of cloud computing concepts and familiarity with AWS services. This course is designed to prepare you for architecting scalable, highly available, and fault-tolerant systems on Amazon Web Services (AWS). As organizations increasingly migrate to the cloud, AWS covers advanced AWS services and best practices that are essential for designing cloud solutions. This course requires a solid knowledge of Cloud computing, AWS Services, and advanced topics related to AWS such as AWS scalability, load balance, messaging integration, monitoring, and management By the end of this course, you'll be equipped to: - Understand the core AWS services and how they fit into cloud-based solutions. - Design resilient architectures that leverage AWS services to meet availability, scalability, and performance requirements. - Gain proficiency in cost optimization strategies, including using AWS pricing models and services. - Learn best practices for security and compliance on AWS, including identity and access management, data encryption, and securing network communications. - Explore advanced topics such as serverless architectures, container orchestration with ECS and EKS, and hybrid cloud solutions using AWS. This course contains engaging videos, hands-on labs, assignments, and exam simulators to reinforce learning and ensure a high-quality training experience. Disclaimer: This course is not affiliated with or endorsed by Amazon Web Services (AWS). ‘AWS’ and ‘Amazon Web Services’ are trademarks of Amazon.com, Inc. or its affiliates.
John Wiley & Sons
The Power of a Positive Team
Based on the best-selling book by Jon Gordon. This course teaches essential principles and strategies for leading high-performing teams, focusing on positivity, clear vision, and effective communication. It provides leaders with tools to foster collaboration, overcome challenges, and ensure sustainable success. Learn how to eliminate negativity and create a growth-oriented environment that motivates your team to perform at their best. Practical applications and actionable strategies allow immediate impact in your team’s culture. What sets this course apart is its combination of proven theories with real-world applications, showing leaders how to implement principles in their unique teams. You’ll be encouraged to apply these strategies to see tangible outcomes. Designed for leaders, managers, and professionals looking to improve team culture and performance, this course requires a basic understanding of leadership principles and a commitment to positive growth. Copyright © 2018 by Jon Gordon. All rights reserved. Published by John Wiley & Sons, Inc., Hoboken, New Jersey. Published simultaneously in Canada. Used by arrangement with John Wiley & Sons, Inc.
Codio
Cloud Computing Primer: Software as a Service (SaaS)
Explore cloud computing basics without installing anything! This course is designed for semi-technical and business learners, providing a solid foundation of cloud computing basics. Learners will build an understanding of how software as a service (SaaS) works as well. The modules in this course cover cloud computing basics, considerations for SaaS adoption, techniques for SaaS success and growth, as well as provide an exploratory SaaS experience for learners. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and suggested exploration examples, building a deeper understanding by doing. You'll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling answer blocks) to small, approachable exercises that take minutes instead of hours.
Coursera
Get Started with Microsoft Forms
There are many uses for Microsoft online. In this project you will explore Microsoft Forms. You will be able to create surveys, polls, quizzes and invitations for free using the web based Microsoft Forms application. You can tailor the form that you make by adding special fonts, various answer choices and images. Data collection is made easy with the program and you can even track your responses and perform data analytics with your results.