The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Google Cloud
Build and Configure an Integration using Application Integration
This is a self-paced lab that takes place in the Google Cloud console. Learn the core concepts, functionalities, and best practices of Application Integration
EDUCBA
MAYA Architecture - Shaders and Textures
This hands-on course dives into the core techniques of shading, texturing, and spatial layout design within Autodesk Maya for architectural visualization. Learners will explore practical workflows for applying realistic materials to a wide range of interior assets, including furniture, walls, doors, and appliances. The course systematically builds from organizing scene layers and assigning shaders, to texturing complex objects like sofas, kitchen sets, and bathroom fixtures, and finally to constructing room-specific floor layouts. Through guided exercises, students gain essential skills in UV mapping, shader management, and modular design, equipping them to deliver photorealistic interiors in professional visualization projects.
Coursera
Utiliser PicMonkey pour les petites entreprises
Ce projet vous permet de découvrir la plateforme PicMonkey, outil de conception de designs en ligne. Vous comprendrez les diverses fonctionnalités de la plateforme et serez capables de créer des designs personnalisés pour améliorer la visibilité de votre marque en ligne. Vous aurez toutes les compétences de base pour utiliser PicMonkey et créer facilement et rapidement des éléments graphiques variés pour votre marque ou petite entreprise.
Pearson
Generative AI for Web Developers
Generative AI for Web Developers introduces web developers to the transformative power of Generative AI (GenAI) in enhancing web development processes across various domains, including front-end and UI development, server management, database handling, and content creation. It aims to demystify the capabilities and applications of GenAI, providing a comprehensive understanding of how these technologies can be leveraged to streamline workflows, improve efficiency, and foster innovation in web development projects. It will bridge the gap between traditional web development practices and the innovative potential of AI, focusing on practical applications, ethical considerations, and best practices. And it addresses a critical need in the industry: empowering developers with the skills to integrate GenAI into their workflows, thus improving efficiency, security, and user experience.
Pearson
Linux Networking - Basics and Beyond: Unit 4
Designed for IT professionals, system administrators, and command line enthusiasts, this course equips you with the essential skills to manage and transfer data securely across Linux systems. Through hands-on lessons, you’ll master the Secure Shell (SSH) for remote administration, streamline file transfers using SCP and rsync, and leverage SFTP for secure, interactive file management. Explore additional connectivity options, including SMB and GUI-based tools, and broaden your toolkit with powerful networking utilities like Wget, cURL, and Netperf. You’ll even set up a basic Apache web server and run real-world labs to test your new skills. By the end of this course, you’ll confidently connect, administer, and transfer files between hosts—whether on-premises or in the cloud—using industry-standard protocols and tools.
Coursera
Test Accessibility of Your Design with WAVE
Wave is an online suite of tools that you can use to check the accessibility of a website against the Web Content Accessibility Guidelines (WCAG). In this project, you will learn about WCAG and how to use WAVE to ensure your web page is meeting the guidelines.
Google Cloud
APIs Explorer: Create and Update a Cluster
This is a self-paced lab that takes place in the Google Cloud console. In this lab you’ll learn how to use an inline Google APIs Explorer template to call the Cloud Dataproc API to create a cluster, run a simple Spark job in the cluster, and update the cluster.
Northeastern University
Healthcare Information Design and Visualizations
Introduces processes and design principles for creating meaningful displays of information that support effective business decision-making. Studies how to collect and process data; create visualizations (both static and interactive); and use them to provide insight into a problem, situation, or opportunity. Introduces methods to critique visualizations along with ways to answer the elusive question: “What makes a visualization effective?” Discusses the challenges of making data understandable across a wide range of audiences. Introduces the fundamentals of communication required for effective data storytelling. Other topics may include ethical uses of information displays, storytelling, infographics, and immersive visualizations. Offers students an opportunity to use one or more software tools. Looking for a for-credit offering of this course? Take this course as a 3-credit For-Credit, Non-Degree course and get a taste Northeastern University's world-class online programs without the commitment of a full degree. Take the course as a standalone for credit or stack the credits into eligible degree and certificate programs. Learn more and register: https://online.northeastern.edu/courses/information-visuals-and-dashboards-for-business
Board Infinity
Fundamentals of NuxtJS
Welcome to the "Fundamentals of NuxtJS" course, a comprehensive journey into the world of NuxtJS, an incredibly powerful framework for building web applications. This course is structured into two modules. Module 1 provides a strong foundation in NuxtJS and its core concepts, and Module 2 delves into advanced features, state management, SEO, and deployment. By the end of this course, you will be well-equipped to create dynamic, performant, and SEO-friendly web applications with NuxtJS. Welcome to Module 1, "Introduction to NuxtJS and Core Concepts." In this module, we'll embark on a journey to understand NuxtJS, a powerful framework for building Vue.js applications. Lesson 1 will introduce you to NuxtJS, set up the development environment, and explore NuxtJS pages and routing. In Lesson 2, we'll delve into layouts and components, teaching you how to work with layouts, create and utilize components, and establish effective page navigation. In Module 2, "Advanced Features and State Management," we'll take your NuxtJS skills to the next level. In Lesson 1, we'll explore VueX State Management in NuxtJS, covering introductory concepts, state management, mutations, actions, and getters. You'll also learn how to fetch data effectively with NuxtJS. In Lesson 2, we'll focus on SEO and Deployment, discussing NuxtJS's SEO features, static site generation, and deployment best practices. This course is designed as an introductory program, focused on providing you with a solid understanding of Nuxt.js fundamentals. While it covers essential topics comprehensively, please be aware that it is an introductory course. Our primary aim is to equip you with the necessary skills and knowledge to embark on your Nuxt.js journey successfully. We're excited to embark on this introductory adventure with you! 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 Vercel or any of its subsidiaries or affiliates. This course is not an official preparation material of Vercel. All trademarks, service marks, and company names mentioned are the property of their respective owners and are used for identification purposes only.
Coursera
NightCafe for Beginners: Create AI Art
In this 1-hour long project-based course, you will learn how to Create AI-generated art using NightCafe, Apply styles and techniques to customize artwork, and Produce a digital art portfolio showcasing AI creativity. By the end of this project, learners will have learned creating distinctive AI-powered artworks using NightCafe, employing diverse styles and advanced editing tools. They will have mastered generating personalized creations with custom models. Additionally, learners will be able to curate and present a professional art portfolio, showcasing their journey and skills in AI-driven artistic innovation.
Codio
Advanced Django: Advanced Django Rest Framework
Code and run Django websites without installing anything! This course is designed for learners who are familiar with Python and basic Django skills (similar to those covered in the Django for Everybody specialization). The modules in this course cover testing, performance considerations such as caching and throttling, use of 3rd party libraries, and integrating frontends within the context of the Django REST framework. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, 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 code blocks) to slowly building features, resulting in large coding projects at the end of the course. Course Learning Objectives: Write and run tests on Django applications Optimize code performance using caching, throttling, and filtering Use a 3rd Party library Integrate with common Frontends
Coursera
Transforming Exploratory Data Analysis with AI
Picture this: You’re a data scientist working for a non-profit organization responding to a natural disaster. You’ve been tasked with analyzing data from multiple sources—satellite imagery, social media posts, and relief agency reports—to identify the most affected areas and allocate resources efficiently. The problem? The data is massive, unstructured, and needs to be processed in real-time. So, with the help of Generative AI, you automate the analysis, summarize critical insights, and create actionable visualizations in hours—saving precious time and ensuring aid reaches those in need faster. This short course was created to help you tackle challenges like these. You’ll learn how to use Generative AI to streamline exploratory data analysis (EDA), automate repetitive processes, and extract meaningful insights efficiently. Whether you’re managing data during a crisis or optimizing daily workflows, this course equips you with practical tools to work smarter, not harder. By completing this course, you’ll gain the skills to immediately apply Generative AI to your data workflows. Automate time-intensive tasks, critically evaluate AI-generated outputs for accuracy, and implement strategies from real-world case studies to make impactful decisions. By the end of this 3-hour course, you will be able to: - Recognize the key capabilities of Generative AI in improving and automating exploratory data analysis (EDA) workflows. - Apply Generative AI tools to automate repetitive tasks in EDA, such as summarizing datasets or generating descriptive statistics. - Analyze outputs generated by Generative AI for accuracy and relevance to ensure ethical and unbiased use in EDA. - Evaluate case studies of Generative AI applications to identify strategies for integrating AI into real-world exploratory data analysis tasks EDA. This course is unique because it integrates practical examples from diverse fields, from disaster response to e-commerce, to illustrate the power of Generative AI. With hands-on practice and a focus on ethical AI use, you’ll not only master the tools but also gain the confidence to apply them responsibly. To be successful in this course, you should have: - A foundational understanding of data analysis concepts. - Familiarity with programming tools like Python. - Some experience with AI platforms such as GitHub Copilot or OpenAI will be helpful but it is not mandatory. This course uses a combination of assessments, including practice quizzes in every lesson to reinforce key takeaways, a hands-on activity using an AI tool to process and analyze a sample dataset, and a final graded assessment to evaluate your understanding of all course concepts. To get the most out of this course, approach it with curiosity and a willingness to experiment. Engage deeply with the lessons, complete the activities, and apply the techniques to your own projects. By the end, you’ll have the skills and confidence to transform how you approach exploratory data analysis!
Yale University
استخدام الوسائط الرقمية لتعزيز النتائج الصحية
ستُوفِّر الدورة التدريبية "استخدام الوسائط الرقمية لتعزيز النتائج الصحية" تدريبًا لمتخصصي الاتصالات في مجال الصحة للاستفادة من الرؤى الاجتماعية والسلوكية لتصميم الرسائل الصحية عبر الإنترنت وتنفيذها وتقييمها. تم تصميم هذه الدورة التدريبية لتكون برنامجًا تعليميًا شاملاً مستندًا إلى الأدلة حول الخطوات المنهجية الرئيسية لإعداد حملات صحية ناجحة وتنفيذها على مواقع التواصل الاجتماعي وتقييم أدائها ومدى تأثيرها على السلوك الصحي. سيتعرَّف الطلاب خلال الدورة التدريبية على أفضل الممارسات المتعلقة بتصميم الرسائل ومحتويات الحملات الإبداعية ذات الصلة. وفي نهاية الدورة التدريبية، سيكون الطلاب قادرين على تنفيذ استراتيجية اتصالات رقمية تشمل أهداف حملة قابلة للتحقيق، وكذلك تقييم مدى تأثيرها من خلال مقاييس الإعلانات وبيانات الاستطلاع والتكاليف ومؤشرات التغطية.
Packt
Prompt Engineering in Python, with GPT, and the OpenAI API
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. Master the art of prompt engineering in Python and unlock the full potential of GPT models and the OpenAI API. This course will teach you how to create, improve, and fine-tune prompts for various tasks, from personal coaching to building chatbots. You'll gain hands-on experience in iterative prompt design, mitigating hallucinations, and extracting structured information with JSON mode. The course begins with an introduction to prompt engineering fundamentals and explores how GPT models work in practical scenarios. You'll learn to set up your OpenAI API key, implement chain-of-thought prompting, and compare model versions like GPT-3.5 and GPT-4. Through real-world examples, you’ll also tackle advanced topics such as emotion-driven prompts and exponential backoff strategies. In later modules, you'll build your own Python API chatbot, enhance multi-turn conversations, and use GPT for extracting numerical values and image-based input. Techniques like "prompt hacking" and smart prompting will teach you how to maximize GPT’s performance, even with older models. This course is ideal for developers, data enthusiasts, and AI professionals seeking to master prompt engineering. Basic Python knowledge is required, and the course is designed for an intermediate difficulty level.
EDUCBA
Master AWS Lambda & API Workflows for Serverless Automation
Learners will build, test, and optimize AWS Lambda functions, integrate them with API Gateway, and apply serverless logic to real-world arithmetic operations. This hands-on course empowers learners to design API request structures, validate GET and POST workflows, and enhance Lambda logic for secure and efficient execution. Throughout the course, learners gain practical experience implementing Python-based Lambda functions, configuring API Gateway endpoints, and interpreting CloudWatch logs to resolve errors. By completing guided demonstrations and real API tests, learners develop the confidence to deploy event-driven microservices without managing servers. What makes this course unique is its end-to-end case study approach, walking learners through every step of building a functional serverless application—from foundational concepts to advanced method-selection logic. Instead of abstract theory, each lesson builds directly toward a working, testable system. By the end, learners will be fully prepared to create, troubleshoot, and scale their own serverless workflows using AWS Lambda, making this course ideal for beginners and professionals seeking practical cloud skills.
Commonwealth Education Trust
Foundations of Teaching for Learning: Planning for Teaching and Learning
The Foundations of Teaching for Learning programme is for anyone who is teaching, or who would like to teach, in any subject and any context - be it at school, at home or in the workplace. With dynamic lessons taught by established and respected professionals from across the Commonwealth, this eight course programme will see you develop and strengthen your skills in teaching, professionalism, assessment, and more. As you carry on through the programme, you will find yourself strengthening not only your skills, but your connection with colleagues across the globe. A professional development opportunity not to be missed. This course will help you consider how to develop appropriate learning goals for individual and groups of students. You will learn how to plan learning activities to engage your students in ways that will achieve these goals. Enhance your course by joining the Commonwealth teaching community on our website, Facebook and Twitter.