The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Packt
Introduction to Procedural Maze Building and Maze Algorithms
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 will dive into the exciting world of procedural maze building. You will explore a variety of maze generation algorithms and gain practical experience using Unity 6. As you progress, you will learn to design modular mazes, create walls and corridors, and implement several maze algorithms, including Drunken Crawl, Randomized Prim’s, Wilson’s, and Recursive Depth-First Search. Each algorithm offers a unique approach to maze generation, providing a deeper understanding of procedural generation techniques. The course takes you through hands-on exercises to ensure you not only understand the concepts but also gain practical experience. You will start by defining basic maze structures and move on to advanced topics like debugging maze generation algorithms and exploring the maze through a first-person character. With each new concept, you’ll be refining your skills in real-time through interactive challenges and problem-solving. This course is perfect for game developers, hobbyists, and enthusiasts interested in learning procedural content generation. No prior experience in Unity or maze algorithms is required, but familiarity with basic programming concepts is helpful. The course is accessible to beginners and gradually builds up to more complex topics. By the end of the course, you will be able to generate functional, interactive mazes in Unity, implement various maze-building algorithms, debug and optimize maze generation code, and explore mazes in a first-person perspective. This knowledge will be invaluable for game development, procedural generation, and algorithm design.
EDUCBA
Image Captioning with TensorFlow & Streamlit
By completing this course, learners will be able to preprocess image and text datasets, build and evaluate a deep learning model, and deploy a fully functional image captioning application. They will gain hands-on experience in applying tokenization, feature extraction, CNN-RNN architectures, and BLEU score evaluation for accurate caption generation. This course uniquely bridges computer vision and natural language processing, enabling learners to generate meaningful captions for social media images. Unlike traditional AI tutorials, it not only covers dataset preparation and neural network modeling but also demonstrates how to create an interactive Streamlit app and deploy it on AWS EC2 for real-world accessibility. Learners benefit by acquiring both technical depth and practical deployment skills, preparing them for roles in AI development, machine learning engineering, and applied data science. By the end, they will confidently design, test, and launch their own automatic image captioning systems that integrate seamlessly into modern applications.
Packt
Survey of Data Science
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 comprehensive course, you will gain a solid foundation in the field of data science, exploring various roles and tasks that data scientists perform. You will learn the distinction between data analysis and data science, gaining insight into the essential skills and activities that make data science so powerful. This course will help you develop the knowledge and skills to understand data and its real-world applications. You’ll begin by diving into exploratory data science, including understanding data distributions, visualizations, and the steps to clean and structure data. As you advance, you'll explore unstructured data, working with complex formats such as text and video, and discover the methods to extract valuable information from them. Additionally, you’ll engage with key concepts such as associative rules and decision trees, honing the skills to model data effectively. This course will also introduce you to advanced topics like linear and logistic regression, neural networks, and the Lambda architecture, empowering you with the tools to analyze both structured and unstructured data. Whether you are looking to build a data pipeline or evaluate machine learning models, you’ll explore how these techniques apply to real-world scenarios.
Google Cloud
Redacting Confidential Data within your Pipelines in Cloud Data Fusion
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to use the Cloud Data Fusion plugin for Cloud DLP to redact sensitive data.
Yale University
Managing Emotions in Times of Uncertainty & Stress
Developed by the Yale Center for Emotional Intelligence, Managing Emotions in Times of Uncertainty & Stress will provide participants with the knowledge, skills, and strategies to understand and manage their emotions and those of their students. The 10-hour online course is designed for school staff, including teachers, paraprofessionals, counselors, principals, and non-teaching staff in preK-12 schools.
Skillshare
Camera Basics for Video: Foundations for Video Creation
By the end of this course, you will be able to choose the right gear for your video style, dial in proper camera settings, plan effective shoots, and confidently capture professional-looking footage using handheld and gimbal techniques. In this class, Kent Hart walks you through the three essentials every successful videographer needs: Knowledge, Mentality, and Community. This course is designed primarily for beginners who want to stop guessing and start creating with confidence, though experienced creators can use it as a focused refresher. You’ll learn essential gear options (without overspending), master camera settings for high-quality results, build a pre-production workflow, and understand the balance between technical precision and creative storytelling. Kent also covers composition, lighting techniques, stabilization, and the mindset shift required to grow as a director—not just a camera operator. To succeed, you don’t need prior professional experience—just access to a camera (even a basic one) and a genuine desire to improve. If you’re ready to stop watching from the sidelines and start building your creative future, this class gives you the foundation to do exactly that.
Pearson
SQL for Any IT Professional: Unit 1
This course provides a solid foundation in SQL and relational database concepts. You'll start by understanding the basics of SQL and its key components. Then, you'll work with a photography database to apply SQL features in real-time, enhancing your practical skills. You'll also learn about relational database design, focusing on modeling and implementing database elements effectively. By the end of the course, you'll be able to communicate with databases, design relational databases, and use SQL across various platforms.
Coursera
Encuentre su Nuevo Trabajo con LinkedIn
¿Cuándo fue la última vez que tuvo que buscar trabajo o quiso cambiar de profesión? Si ha pasado mucho tiempo o incluso recientemente, ¡este proyecto es para usted! Este proyecto le mostrará las herramientas de LinkedIn para la búsqueda de empleo y las formas de aprovechar su perfil para conseguir un puesto de trabajo. Al final de este proyecto, su perfil estará listo y podrá solicitar posiciones de trabajo con confianza. Su tiempo en este proyecto puede ayudar a guiarle a una carrera en lugar de otro trabajo. Para tener éxito en este proyecto necesitará tener una cuenta activa y gratuita en LinkedIn. Si necesita empezar con buenas bases su cuenta antes de unirse a este proyecto, verifique "LinkedIn para principiantes" en Coursera para conocer más acerca de los pasos básicos para crear una cuenta en LinkedIn. Nota: Este curso es de mayor utilidad para estudiantes que residen en la región de América del Norte. Actualmente, estamos trabajando para proporcionar la misma experiencia en otras regiones.
Coursera
Create a Customer Service Survey in Microsoft Forms
Customer service surveys are often used by businesses to gain insights into how their customers perceive their business, service, or product. Microsoft Forms is a free online program that offers all of the tools needed to create and disseminate professional, high-quality surveys. Customer Service Surveys can be sent out to an audience in numerous ways, and the responses can be invaluable resources to business owners and managers to make important business decisions. Learners in this guided project will learn how to prepare for creating a customer service survey by outlining goals and an audience. Then, they will learn how to create all of the basic and advanced question types offered by Microsoft Forms to gather a variety of information from customers. Learners will then discover how to finalize and send the survey, and finally how to interpret the responses they receive.
Whizlabs
Design Security Ops, Identity, and Compliance capabilities
Welcome to Design Security Operations, Identity, and Compliance Capabilities, a focused and practical course tailored for cybersecurity professionals and Microsoft cloud architects. This course is part of the SC-100: Microsoft Certified Cybersecurity Architect Expert specialization and helps build the essential skills required to design identity-first, operations-aligned, and compliance-ready security strategies using Microsoft technologies. You’ll explore how to operate Microsoft Sentinel as a cloud-native SIEM, design identity and access strategies using Microsoft Entra ID, manage privileged accounts securely, and align your architecture with leading compliance frameworks like GDPR, HIPAA, and SOC 2. Through practical lessons, demos, and real-world scenarios, this course equips you with the ability to implement secure access, monitor privileged activities, and automate compliance in Microsoft’s cloud ecosystem. This course includes 6–7 hours of expert-led video content structured across two comprehensive modules. Each module contains multiple lessons and hands-on demonstrations, with quizzes and in-video questions to support continuous learning and knowledge retention. Who Should Take This Course? Security Operations Engineers and SIEM Analysts Identity and Access Management (IAM) Professionals Microsoft 365 and Azure Security Administrators Security Architects preparing for the SC-100 exam Course Modules: Microsoft Sentinel: Security Operations and SIEM Microsoft Entra: Identity and Access Management (IAM) Microsoft Privileged Access and Secrets Management Microsoft Compliance Management and Cloud Governance
Google Cloud
Introduction to Image Generation - Español
En este curso, se presenta una introducción a los modelos de difusión: una familia de modelos de aprendizaje automático que demostraron ser muy prometedores en el área de la generación de imágenes. Los modelos de difusión se inspiran en la física, específicamente, en la termodinámica. En los últimos años, los modelos de difusión se han vuelto populares tanto en investigaciones como en la industria. Los modelos de difusión respaldan muchos de los modelos de generación de imágenes y herramientas vanguardistas de Google Cloud. En este curso, se presenta la teoría detrás de los modelos de difusión y cómo entrenarlos y, luego, implementarlos en Vertex AI.
Edureka
Generative AI for People Management
This program enhances HR processes with Generative AI, helping HR professionals, managers, and business leaders improve employee engagement, performance management, and learning and development. You’ll begin with AI in Employee Engagement, learning to personalize communication, design AI-driven surveys, and boost engagement using tools like Claude AI, Typeform, and iWeaver. Next, you’ll explore AI in Performance Management and Learning & Development, applying AI to streamline reviews, generate feedback, and align goals with Effy AI, Coassemble, SC Training, Coursebox, and Notion AI. You’ll design training content, create learning paths, and address skill gaps while gaining hands-on experience in automating metrics, enabling feedback loops, and delivering adaptive learning. The course wraps up with a reflection module, graded assignments, and a capstone project to showcase your mastery. By the end of this program, you will be able to: - Define the role of AI in enhancing key HR processes such as engagement, performance, and learning. - Apply AI to personalize employee engagement through communication, surveys, and feedback tools. - Analyze performance management workflows and streamline them with AI-assisted reviews - Design adaptive and scalable learning and development programs powered by AI. - Integrate platforms like Claude AI, Effy AI, Typeform, Coursebox, and Notion AI into HR practices. - Evaluate AI-driven HR processes to ensure fairness, transparency, and ethical best practices. This program is designed for HR professionals, L&D managers, recruiters, and business leaders aiming to modernize workforce management with AI. A background in HR practices will support your learning, but no technical expertise is required. Join us to transform the way you engage employees, manage performance, and deliver learning with next-generation AI solutions.
Board Infinity
Foundations of Usability Testing
Course Description: This course offers a comprehensive exploration of usability testing, a critical aspect of software development focused on ensuring that products meet user needs effectively and efficiently. It delves into the basics of usability testing, its importance, and the principles guiding successful usability evaluation. It also introduces learners to the evaluation of usability, user experience, and accessibility, with a focus on human-centered design. Additionally, the course addresses risks associated with usability, user experience, and accessibility, and provides insight into usability and accessibility standards. Through a blend of theoretical knowledge and practical examples, learners will acquire the necessary skills to conduct effective usability testing and improve software products' overall quality and user satisfaction. Learning Objectives: 1. Explain the fundamental concepts and importance of usability testing. 2. Evaluate usability, user experience, and accessibility in human-centered design. 3. Identify and manage risks associated with usability, user experience, and accessibility. 4. Understand and apply usability and accessibility standards in software development. Target Audience: This course is designed for aspiring software testers, usability analysts, UX designers, developers, and anyone interested in understanding usability testing and its relevance in software development. It is suitable for beginners and professionals seeking to enhance their skills in usability testing and evaluation. 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 ISTQB or any of its subsidiaries or affiliates. This course is not an official preparation material of ISTQB. All trademarks, service marks, and company names mentioned are the property of their respective owners and are used for identification purposes only.
Google Cloud
Configuring Vector Search in AlloyDB
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you learn the fundamentals of configuring vector search in AlloyDB.
Google Cloud
Build a Project Tracking App with AppSheet
This is a Google Cloud Self-Paced Lab. In this lab, you'll build a simple project tracking and approval application. AppSheet is a no-code development platform that lets anyone without coding experience build mobile and web applications. You can build AppSheet apps from data sources, such as Google Sheets, Excel, Cloud SQL, Salesforce, and other similar connectors. App user activity syncs to the connected data source(s).
Illinois Tech
Hardware and OS Foundations Capstone
The Hardware and OS Foundations Capstone is the culminating experience for students completing the Hardware and OS Foundations I, II, and III specialization. This capstone provides an opportunity to integrate and apply the key concepts learned across the three courses, including computer hardware architecture, operating system fundamentals, and system-level problem solving. Through the capstone, students will demonstrate their ability to analyze and apply hardware and operating system concepts in practical scenarios. Successful completion of the capstone confirms proficiency in core hardware and OS foundations and may serve as evidence of readiness for further study, including eligibility to begin the MIT degree program or earning a certificate demonstrating competency in hardware and operating system systems.