The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Google Cloud
Build an AI Image Recognition app using Gemini on Vertex AI
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to use Google's Vertex AI SDK to interact with the powerful Gemini generative AI model, enabling you to ask questions about images and receive insightful text-based responses.
Rutgers the State University of New Jersey
Rutgers MBS: Introduction to Personal Care Science
This course will introduce students to the variety of scientific careers in the cosmetics and personal care industry and the skills needed to excel in the industry. Covered topics include product ideation, formulation, testing, manufacture, and post-marketing assessment; skin, hair, and nail biology; and claim substantiation. The course also includes a home-based “lab” where students can apply some of the covered concepts.
Coursera
Cybersecurity Fundamentals for High-Tech Manufacturing
High-tech manufacturing thrives on precision, speed, and innovation, but each of these strengths creates vulnerabilities when cybersecurity is neglected. This course equips learners to see security not as a cost center, but as a core enabler of resilient manufacturing. Across three modules, participants will learn to build a disciplined security practice, grounded in fundamentals, metrics, and governance; secure the factory end-to-end, from suppliers and production lines to customer delivery; and protect the crown jewels of innovation, with strategies for intellectual property defense, disaster recovery, and continuous improvement. Through hands-on activities, case studies, and scenario-based exercises, learners will practice mapping risk, designing operational safeguards, and leading effective incident response. This course is designed for manufacturing professionals, engineers, IT managers, and operations leaders who want to strengthen their understanding of cybersecurity in industrial contexts. It’s also ideal for learners transitioning into manufacturing technology roles or those seeking to enhance their digital security awareness. Learners should have a basic understanding of computer systems, manufacturing processes, and general IT concepts. No advanced cybersecurity experience is required. By the end, participants will be able to align cybersecurity directly with business goals, creating actionable plans that ensure manufacturing innovation moves at the speed of trust. Ultimately, this empowers learners to safeguard their organizations while advancing careers at the forefront of high-tech industry.
Coursera
What are GPTs and How can they work for my business?
This course provides participants with a comprehensive understanding of how custom GPTs can be leveraged for strategic decision-making in business. It begins with an introduction to custom GPTs, explores their diverse applications in business, and delves into real-world examples of using GPTs for AI integration. The course emphasizes practical applications, equipping participants with the skills and competencies needed to effectively utilize custom GPTs in their business strategies. This course is designed for business managers, app developers, strategic planners, and IT professionals seeking to integrate advanced AI technologies into their operations. Participants should be eager to explore how custom GPTs can enhance business processes, from customer support automation to strategic decision-making. The course is tailored to individuals who wish to leverage AI to drive efficiency and innovation in their organizations. Participants should have a foundational understanding of key AI concepts such as machine learning, natural language processing (NLP), and neural networks. Basic proficiency in a programming language commonly used in AI development, like Python, is also required. Additionally, participants should be familiar with how AI technologies are applied in business contexts and have a grasp of business operations and strategy to fully engage with the course material. By the end of this course, participants will have a comprehensive understanding of custom GPTs and their applications in business. They will be equipped to apply custom GPTs for various business tasks, such as task automation and strategic decision-making. Participants will also gain insights from real-world case studies, enhancing their ability to integrate AI solutions effectively and drive business innovation and growth.
Universidad de los Andes
Análisis estático lineal y no lineal de estructuras
Este curso busca reforzar y ampliar los conceptos básicos del análisis lineal estático presentados en cursos de pregrado en ingeniería civil, y estudiar métodos no lineales estáticos para el análisis de estructuras más complejas. Al final del curso, el estudiante estará en capacidad de, primero, analizar estructuras complejas que presenten comportamiento lineal o no lineal cuando son sometidas a cargas estáticas. Segundo, desarrollar programas en Python para conducir los análisis de estructuras sencillas. Tercero, manejar a nivel básico la plataforma Opensees e interpretar correctamente los resultados e implicaciones de los análisis realizados. El curso está compuesto de cinco módulos. En los dos primeros se abordarán análisis lineales, y en los siguientes análisis incluyendo no linealidades geométricas y del material. Este curso exige la utilización intensiva de los programas de computador Python y Opensees. Se tendrán disponibles tutoriales sobre el uso de estos programas. La evaluación del curso se hará mediante la solución de problemas cerrados y un proyecto integrador de todos los conceptos.
Howard University
Cloud Transformation
This course focuses on leveraging the cloud for business problem solving and digital transformation. Learners will analyze the impact of cloud computing layers on business outcomes, identify best practices for cloud security, and discuss how cloud products and services support sustainability efforts.
Fudan University
基于Unity引擎的游戏开发进阶
诸如《Clash Royale》（部落冲突：皇室战争）、《Cross Fire》（穿越火线）之类的手机网络游戏在玩家中非常流行。 本门课程《Unity游戏编程进阶》是专项课程游戏编程的第二门课，通过《Unity游戏编程基础》课程，学习者已经具备开发移动平台3D单机游戏的基本能力，然而与次世代画面的网络手游开发仍存在很大差距。《Unity游戏编程进阶》课程重点讲解手机网络游戏的开发，提升游戏的可玩性和游戏的画面效果，优化游戏的性能。 本课程以《Unity游戏编程基础》课程为基础，具体讲解导航与寻路、僵尸AI、逆向动力学等技术的应用，增加游戏的可玩性；讲解全局光照、着色器以及Image Effect等知识点，提升游戏画面效果；讲解Unity Profiler、Unity 性能优化以及Quality设置等相关知识点来优化游戏的性能；讲解如何使用Photon网络引擎包含的PUN(Photon Unity Network)进行Unity网络游戏开发。相比Unity内置的网络工具包，Photon的PUN功能更加成熟、强大、灵活、丰富，在全球拥有数十万开发者。在课程的最后部分，完成本门课程项目《慕课英雄2》：第一人称射击手机网络游戏。 通过本门课程的学习，学习者将对Unity游戏开发有更深层次的理解，能够使用Unity与Photon网络引擎开发3D手机网络游戏，为将来入职游戏行业或进行独立游戏开发奠定优秀的编程基础。
Alignor
Leading Diverse Teams
This course is the first of a series that will enable you to become an effective leader and advocate, both within and outside your organization, on issues related to diversity, equity and inclusion. In this course, you’ll explore how to engage members of your organization in important and challenging conversations. You’ll learn by playing games (realistic simulations) in which animated characters challenge you to understand their perspectives and interests. The simulations cover a wide range of situations in which issues of diversity, equity and inclusion may arise. Complementing compliance training, this course offers a safe space to practice difficult conversations and explore diverging viewpoints. By the end of this course, you’ll be able to: • Engage others in important conversations about issues related to diversity, equity and inclusion • Understand the perspectives of others and find common ground • Manage conflicts that arise among team members • Facilitate collaboration among diverse team members • Make decisions that meet organizational objectives and satisfy people’s interests
EDUCBA
XHTML Practical - Creating Website Engineering College
This hands-on course equips learners with the practical skills to design, construct, and evaluate a structured, multi-page website using XHTML and CSS. Centered around a real-world case study of an engineering college web portal, the course guides learners through the process of setting up a clean project architecture, implementing modular and semantic content blocks, and integrating internal navigation strategies for effective user flow. Learners will begin by understanding XHTML conventions and developing a homepage using organized folder structures, then progress to creating academic and departmental subpages styled through external CSS. Advanced lessons emphasize navigation menu design, page linking techniques, and final review processes that ensure code validity and structural completeness. By the end of this course, learners will be able to: Outline the foundational requirements for an XHTML-based website project. Construct semantically structured web pages using divs, tables, and standardized XHTML elements. Apply CSS styling principles to maintain visual consistency across all pages. Design navigation systems and content layouts using list structures and floating techniques. Evaluate website structure and link integrity through browser-based manual validation. This course is ideal for aspiring front-end developers, students in computer science or digital media programs, and professionals transitioning into web development roles who seek to strengthen their XHTML structuring and layout planning capabilities.
University of Michigan
Intro to AR/VR/MR/XR: Technologies, Applications & Issues
This first course in the XR for Everybody specialization creates a foundational understanding of the differences between AR, VR, MR, and XR. The course provides learners with a broad overview of the rapidly evolving XR space and the tools to characterize future XR developments and assess their potential and limitations. It establishes key concepts and dives into the XR device landscape, helping learners to differentiate current and future platforms and devices as well as critique the use of VR or AR in applications. The course pivots in the second half to look more at how to shape the future of XR, by analyzing trends and raising issues such as COVID-19, social and ethical concerns, accessibility and equity, as well as privacy and security. The course comes with an honors track in which learners will try out and classify existing XR applications, pick technologies when designing solutions for various XR application scenarios, and dive into the issues contributing to the larger discussion around trends and the future of XR.
Board Infinity
Mastering Cloud FinOps
"Mastering Cloud FinOps" this advanced course, designed for professionals and leaders in cloud financial management, dives deep into the intricacies of FinOps, presenting a comprehensive curriculum that spans from foundational principles to practical application and strategic implementation within organizations. Through four meticulously crafted modules, learners will explore advanced FinOps concepts, cost management techniques, the challenges and strategies for adopting FinOps, and conclude with a hands-on capstone project focused on designing a FinOps Executive Dashboard and presenting a case study. The course is structured to provide a blend of theoretical knowledge, practical insights, and interactive learning experiences, enabling participants to master the art of optimizing cloud costs, driving financial accountability, and fostering a culture of cost efficiency. Whether you're looking to implement FinOps practices in your organization or aiming to enhance your expertise, this course offers valuable knowledge and skills applicable in any cloud environment. Module 1 delves into Architectural Practices for Cost Efficiency, focusing on the integration of advanced FinOps concepts and innovative cloud financial management strategies. Beginning with a comprehensive exploration of the 5R strategies (Retire, Retain, Rehost, Replatform, and Refactor), the module offers a deep dive into how these approaches can guide cost-efficient architectural decisions. It further examines cutting-edge practices like the adoption of serverless architectures and containers, leveraging machine learning and analytics, and utilizing generative AI to derive actionable insights from cloud spend data. This module is designed for individuals seeking to enhance their expertise in crafting cost-effective cloud solutions while maximizing operational efficiency and financial performance. Module 2: Advanced Cost Management Techniques dives into sophisticated methods and tools designed to enhance cloud cost management through forecasting, anomaly detection, and utilization-based optimization. The first lesson introduces learners to the principles of cost forecasting and anomaly detection, equipping them with the knowledge to predict spending trends and identify irregularities in cloud expenses. A practical demonstration on setting up these systems further solidifies understanding. The second lesson shifts focus to the optimization of resources based on actual usage, discussing strategies for right-sizing, eliminating orphaned resources, and optimizing resources with extremely low usage. This module is tailored for cloud professionals aiming to refine their approach to cloud cost management by leveraging advanced techniques for more precise control over cloud spending and resource allocation. Module 3, "Building a FinOps Case in an Organization: Adopting FinOps," guides learners through the strategic process of introducing and integrating FinOps practices within an organization. The module begins by addressing the common challenges faced during the adoption of FinOps and provides a comprehensive roadmap to navigate these obstacles effectively. It emphasizes understanding the target personas within the organization who will be key to driving the FinOps initiative. The second lesson lays out a detailed plan for FinOps adoption, covering the initial planning phase, strategies for socializing FinOps principles to gain buy-in across teams, preparation steps to ready the organization for this transformation, and finally, the formal launch of FinOps practices. This module is essential for leaders and change agents looking to champion FinOps within their organizations, ensuring a smooth transition to a more financially accountable and efficient cloud spending culture. Module 4 culminates in a Capstone Project, providing learners with the opportunity to apply their acquired knowledge from the course to a practical challenge. This module is designed around the creation of a FinOps Executive Dashboard, focusing on the critical aspects of understanding objectives, considerations for design, and a high-level approach to dashboard development. It enables learners to synthesize information from various sources into a coherent and actionable interface for decision-makers. The second lesson transitions into the presentation and review of a FinOps case study, encouraging learners to present their projects, receive feedback, and critically evaluate their own and peers' work. This hands-on project is crucial for reinforcing the concepts of FinOps and demonstrating the ability to translate theoretical knowledge into practical tools and strategies that can drive financial efficiency and optimization in cloud environments. This course is suitable for professionals and leaders seeking advanced knowledge in cloud financial management and FinOps implementation. Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.
Fractal Analytics
Introduction to Vertex AI
Welcome to "Introduction to Vertex AI"! In this concise yet impactful microlearning course spanning around 4 hours, we're diving into the world of Vertex AI to equip you with fundamental insights and practical skills. We'll unravel the essentials of Vertex AI, guiding you through the interface to empower you to navigate this powerful platform seamlessly. Get ready to grasp strategic insights that will enable you to effectively harness the capabilities of Vertex AI in your projects. The course is best suited for aspiring data scientists, machine learning enthusiasts, and professionals eager to harness the potential of AI. Understanding of Programming, Understanding of AI, and GenAI technology, and understanding Cloud computing, ML platform, DevOps, or LLMOps would be an added advantage. You'll walk away with a clear understanding of Vertex.AI's basics, mastering its interface, and acquiring strategic insights to leverage this tool effectively. Elevate your AI journey and stay ahead in the dynamic landscape of machine learning with "Introduction to Vertex AI." Let's get started! Note: To be able to explore Vertex AI and its features, you would need a Gmail account and Vertex AI access. In case you want to create a free trial account before you start, you can follow the link (https://cloud.google.com/vertex-ai?hl=en) and create your account. Please read the information page before
Coursera
Collect Feedback Easily
You will be introduced to a real world application of Confluence which will help you understand and apply Confluence features that support collaboration and feedback collection. You will first explore how inline comments keep discussions directly connected to page content, enabling teams to ask questions, share input, and suggest changes without disrupting a document’s structure. You will also be introduced to the Poll macro as a simple, effective way to gather group input and make quick decisions. You will see the use of coached explanations, screencasts, practical examples, quizzes, and graded assessments. You will compare how these two different feedback tools serve different purposes and work together in collaborative workflows across projects. Learning is reinforced as you will create a basic poll to collect team votes on a meeting time, showing how Confluence can streamline communication and improve alignment. You will be able to capture feedback efficiently and support everyday team decision-making using Confluence.
Coursera
Visualizing and Collaborating with Popplet
By the end of this project, you will be able to use Popplet as a teaching and learning tool with your students. Popplet allows users to create colourful graphic organizers complete with videos, hyperlinks, and more. Graphic organizers allow teachers to communicate information in a clear and organized manner, whether teaching online or in person. For students, graphic organizers are an essential step when planning writing and project ideas, presenting new information, and much more. As we work togther throughout this project, you will become a confident Popplet user, allowing your teaching and your student’s learning to thrive in new ways. *You will need a free trial of Popplet for this project.
DeepLearning.AI
Vector Databases: from Embeddings to Applications
Vector databases play a pivotal role across various fields, such as natural language processing, image recognition, recommender systems and semantic search, and have gained more importance with the growing adoption of LLMs. These databases are exceptionally valuable as they provide LLMs with access to real-time proprietary data, enabling the development of Retrieval Augmented Generation (RAG) applications. At their core, vector databases rely on the use of embeddings to capture the meaning of data and gauge the similarity between different pairs of vectors and sift through extensive datasets, identifying the most similar vectors. This course will help you gain the knowledge to make informed decisions about when to apply vector databases to your applications. You’ll explore: 1. How to use vector databases and LLMs to gain deeper insights into your data. 2. Build labs that show how to form embeddings and use several search techniques to find similar embeddings. 3. Explore algorithms for fast searches through vast datasets and build applications ranging from RAG to multilingual search.
Coursera
Create website videos with Canva
At the end of this project, you will have all the basic skills to create videos for your website using Canva, an online tool for creating and editing Marketing visuals. You will use the various design tools, colors and graphics offered by Canva. This project is intended for intermediaries, small business owners and startups who have little to no knowledge of graphic design. It is ideal to create professional videos for websites using various video templates offered by Canva.