The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Pearson
Practical Cybersecurity Fundamentals: Unit 2
This course is designed for those ready to take action and respond effectively to cybersecurity incidents. You will gain a deep understanding of incident response fundamentals, learning how to craft and automate playbooks and leverage cyber threat intelligence. Our expert-led lessons will guide you through the intricacies of threat hunting, introducing you to the MITRE ATT&CK framework and tools for adversarial emulation. Delve into the realm of digital forensics, where you will master evidence preservation, reverse engineering, and memory analysis across various devices, including mobile and IoT. By the end of this course, you will possess the critical skills needed to uncover the who, what, and when of cybersecurity incidents.
Coursera
Preparing Images for AI Models
The Preparing Images for AI Models course is designed for developers, engineers, and technical product builders who are new to Generative AI but already have intermediate machine learning knowledge, basic Python proficiency, and familiarity with development environments such as VS Code, and who want to engineer, customize, and deploy open generative AI solutions while avoiding vendor lock-in. The course provides learners with essential skills to source, prepare, and augment image datasets for training diffusion models. Learners begin by navigating public repositories such as the Large-scale Artificial Intelligence Open Network (LAION), ImageNet, and Flickr30k, evaluating datasets for quality, diversity, and legal compliance. The course then introduces preprocessing workflows, including resizing, cropping, normalization, and metadata management to enhance dataset consistency. Learners practice batch processing for large collections while applying quality checks to detect corrupted or duplicate files. The final module focuses on augmentation strategies—ranging from basic transformations to advanced techniques like CutMix, MixUp, and style transfer—to improve robustness and diversity without introducing distribution shifts. By the end of the course, learners will have developed a structured, production-ready dataset optimized for training or fine-tuning diffusion models.
Google Cloud
Architecting with Google Kubernetes Engine: Production en Español
En este curso, aprenderás sobre la seguridad de Kubernetes y Google Kubernetes Engine (GKE), los registros y la supervisión, y cómo usar los servicios administrados de almacenamiento y de bases de datos de Google Cloud desde GKE. Este es el segundo curso de la serie Architecting with Google Kubernetes Engine. Después de completar este curso, inscríbase en los cursos Reliable Google Cloud Infrastructure: Design and Process o Hybrid Cloud Infrastructure Foundations with Anthos.
Macquarie University
Marketing analytics: Know your customers
Are your customers at the centre of your organisation’s strategy? An understanding of marketing analytics, the core component of this course, is crucial to serving your customers well. Through structured learning activities (video lectures, quizzes, discussion prompts, industry interviews and written assessments) this course will teach you what to measure – and how – in order to maximise customer value. Rapid advancements in technology mean more powerful data and analytics can inform marketing decisions. However, multiple touchpoints across the customer journey make it increasingly difficult to measure effectiveness. You will develop an understanding of traditional and digital marketing metrics and what questions they answer, as well as how to achieve a single integrated view of the customer. You’ll experiment with behaviour and predictive analytics to develop marketing that delivers customers the right product via the right channel at the right time.
Coursera
Getting Started with Microsoft OneNote
By the end of this project, you will create a free account on Microsoft 365, you will get access to Microsoft OneNote, you will create a notebook with sections and pages, you will add content like text, pictures, videos, links, download add-ins, and will even explore Accessibility and translation tools. Your new skills will help you efficiently keep notes all in one place and share them with others.
University of Colorado Boulder
Anti-Racism II
Anti-Racism II is an intermediate course between Anti-Racism I and Anti-Racism III, focusing on the topic of race, racism, and strategies regarding how to be an anti-racist. Anti-Racism II is for anyone who has previously taken Anti-Racism I, or who has basic knowledge of the racial issues plaguing the United States, and globally. Anti-Racism I focused upon how to have open dialogue and conversations about race and racism. Anti-Racism II takes on the vital role assisting students in guiding their own conversations regarding race, and additionally gender and sexuality. Anti-Racism II will expand your knowledge and critically engage your inquiry, centering upon short interviews with leading scholars and activists in the field. Coupled with supplementary video and reading material, these interviews will further demonstrate the power of open dialogue and self-narration, directing you towards being an anti-racist ally. The centrality of the course interviews will culminate in a final project where students will construct and carry out their own personalized interview. The final project will test dialogic skills while asserting the importance of intimate conversations about race, gender, and sexuality. This is challenging work in troubling times that may conjure uneasy feelings and emotions. Anti-Racism II can work as a bridge coming face to face with your personal individual relationship with social demands plaguing us nationally and globally. The remedy is to allow yourself uncomfortableness in order to get to the solutions. We are all in this together. Peace & Love Shawn Course logo image credit: Emmanuel Gido, 08/31/2020. Available on Unsplash at https://unsplash.com/photos/SAjZSZUA690
L&T EduTech
Construction Aspects of Formwork
The "Construction Aspects of Formwork" course offers a concise yet comprehensive overview of formwork planning, modular formwork, and its applications, blending theoretical knowledge with practical applications. In Module 1, we will delve into crucial aspects of formwork planning and monitoring, aiming to enhance productivity and improve construction processes. Module 2 provides a thorough understanding of modular and aluminum formwork systems, highlighting their practical applications and advantages. Module 3 focuses on formwork assembly for wall and column panels, covering erection, inspection, safety, and correction techniques. In Module 4, learners explore scaffolding aspects, including installation sequence, innovation, and global practices, ensuring a well-rounded understanding of construction formwork. Upon completing the "Construction Aspects of Formwork" course, learners will acquire a comprehensive understanding of formwork planning, modular formwork, and its practical applications. They will gain insights into formwork planning and monitoring to optimize productivity and improve construction processes ensuring safety and efficiency. The learners will develop proficiency in formwork assembly for wall and column panels, including erection, inspection, safety protocols, and correction techniques and understand scaffolding practices. Target Learners: Undergraduate students of Civil & Structural Engineering Post-Graduate Students of Structural Engineering Practicing Engineers in Structural Design Faculties of Civil Engineering Domain
IBM
Data Storage Fundamentals with IBM Storage Scale
This course is intended for IT professionals tasked with administering an IBM Storage Scale storage cluster in environments running Linux and AIX nodes. The course includes information on installing, configuring, and monitoring an IBM Storage Scale cluster. Many Storage Scale features are described in lecture materials and then implemented in lab exercises. These features include: Storage management, high availability options, cluster management, and information lifecycle management (ILM) tools. Upon completion of this course, you will earn an IBM digital badge that recognizes your skills and knowledge in this area.
Duke University
Business Impact
In this course, you will learn how to apply financial principles and analyses to make strategic decisions that drive business growth, enhance operational efficiency, and maximize shareholder value. You will apply these concepts by engaging in strategic decision-making exercises and completing assessments that link financial insights to business outcomes. This course is ideal for non-financial managers or professionals who seek to enhance their financial acumen to make better business decisions. No prior experience in finance is required. However, a basic understanding of business operations and strategic thinking will be beneficial.
Starweaver
Management Skills for New Managers
This course equips new managers with the practical tools and leadership strategies needed to succeed in their roles. Participants will explore key management skills including emotional intelligence, effective communication, performance management, and delegation. The course also addresses how to build trust, manage conflict, and foster a collaborative team culture. Through real-world scenarios and expert guidance, learners will develop the confidence to lead with clarity, provide constructive feedback, and support both high-performing and struggling team members. Designed for new supervisors, team leads, or managers, especially those without prior formal training, this course supports learners in navigating the shift from individual contributor to leader. It is also ideal for managers seeking to refresh and strengthen their foundational leadership skills. By the end of the course, learners will be able to coordinate team efforts, guide performance effectively, and motivate individuals toward shared goals. This course lays the groundwork for long-term leadership development and team success.
Google Cloud
Architecting with Google Kubernetes Engine: Foundations - 繁體中文
"在 「Google Kubernetes Engine 架構：基礎知識」的課程中，您將復習 Google Cloud 的配置和原則，接著是建立和管理軟體容器簡介和 Kubernetes 架構簡介。 這是 Google Kubernetes Engine 架構系列中的第一項課程。完成此課程後，請註冊 Google Kubernetes Engine 架構：工作負載課程。"
EDUCBA
Apply ExpressJS for Full-Stack Web Application Development
In this course, learners will develop, integrate, and apply ExpressJS concepts to build a complete full-stack web application using Node.js and MongoDB. Learners will gain hands-on experience setting up a project environment, creating frontend pages, configuring an Express server, connecting a database, and displaying stored data within a working application. By completing this course, learners will strengthen their ability to design structured web applications, implement backend logic using ExpressJS, and manage persistent data with MongoDB. The step-by-step case study approach ensures that learners clearly understand how individual components—frontend, server, and database—work together in real-world development scenarios. What makes this course unique is its end-to-end, case-study-driven learning model, which emphasizes practical implementation over isolated theory. Instead of learning concepts in abstraction, learners build a functional project from scratch, reinforcing skills that are directly transferable to professional web development roles. This course is ideal for beginners seeking applied experience and for aspiring full-stack developers looking to solidify their ExpressJS fundamentals.
Deep Teaching Solutions
学会如何学习：帮助你掌握复杂学科的强大智力工具（Learning How to Learn）
本课程将介绍各领域专家所使用的学习方法，他们包括艺术家、文学家、数学家、科学家、运动员和很多其他领域专家。我们将学习如何使用两种不同的大脑模式，以及大脑如何封装（“chunks”）信息。我们还将介绍能力错觉（illusions of learning），记忆技巧，对付拖延症的方法，以及研究表明能帮助我们掌握困难科目的方法。 无论您在所学领域是专家还是菜鸟，您都可以使用这些方法，改变自己的思维模式，重塑自己的人生。如果您是所学领域的专家，通过学习大脑认知的底层知识，您可以进一步提高自己的学习能力，您将了解反直觉的考试技巧和见解，从而能够更高效地完成作业和习题。如果您在学习中遇到困难，系统有效的学习技巧将帮助您将走上正轨。无论您希望学习什么内容，这门课程都可以作为您的指南。
Coursera
Grow Trees & Powerful Ensembles
Ready to transform your data science expertise with the most powerful tree-based modeling techniques? This Short Course was created to help data analysis professionals accomplish advanced predictive modeling using decision trees and ensemble methods. By completing this course, you'll master CART model construction, ensemble method implementation, and deployment feasibility assessment. You'll gain hands-on experience with scikit-learn, XGBoost, and real-world performance optimization scenarios that directly impact business decisions. By the end of this course, you will be able to: Build and prune CART models with stakeholder-ready visualizations Evaluate model stability through bootstrapping techniques Compare bagging, boosting, and stacking performance gains Assess computational trade-offs for production deployment This course is unique because it bridges the gap between theoretical ensemble methods and practical deployment constraints, ensuring your models are both performant and operationally feasible. To be successful in this project, you should have a background in Python programming and basic machine learning concepts.
Google Cloud
データ アナリストのための BigQuery
このコースは、データ分析のニーズに合わせた BigQuery の使用方法について学習したいと考えているデータ アナリストを対象としています。動画、ラボ、デモを組み合わせることにより、BigQuery でデータを取り込み、変換し、クエリを実行してビジネス上の意思決定に役立つ分析情報を引き出す方法について、さまざまなトピックを取り上げます。
Coursera
Mapping the Mission: User Personas & Journey Design in Figma
In this course, you'll dive into the essential practice of user persona development and journey mapping using Figma. We'll demystify the concepts behind user-centered research translation, exploring how to transform user insights into actionable design tools. You'll gain a clear understanding of how personas and journey maps fit within the broader UX design process, from research analysis to strategic design planning. You'll be introduced to the specific capabilities of Figma for creating compelling user personas and detailed journey maps within the UX design ecosystem. We'll showcase how Figma harnesses the power of collaborative design to revolutionize your productivity when developing and sharing user-centered design artifacts. From analyzing user research data to crafting detailed user journeys, you'll discover the myriad ways Figma can enhance your persona and journey mapping workflow. By the end of this course, you'll be able to: - Analyze user research data to identify key user segments and needs. - Create comprehensive user personas using Figma's design tools. - Develop detailed user journey maps that highlight pain points and opportunities. - Apply personas and journey maps to inform design decisions and strategy.