The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
Material Design 3 for Beginners: Building UI Systems
This Guided Project "Material Design 3 for Beginners: Building UI Systems" is for beginners interested in UI design using Material Design 3. In this 1-hour long project-based course, you will learn how to to create a color scheme with Material Design 3's color system, select accessible typography that reflects the brand's personality following Material Design 3's typography guidelines, and design shapes using Material Design 3's principles of elevation and shapes, as you build a UI system based on your client’s brand personality using Material Design 3 in Figma. To achieve this, we will work through creating a UI system for a website. This project is unique because it provides hands-on activities that allow you to apply your newly acquired skills in real-time. In order to be successful in this project, you will need access to Figma and a basic understanding of how to use it.
Pearson
CompTIA Linux+ XK0-005: Unit 6
This course begins with configuring logging for effective system monitoring and maintenance. You'll then explore system performance monitoring, focusing on interpreting metrics and optimizing resources. You'll gain an understanding of the Linux boot process, including BIOS and UEFI systems, and learn to configure the GRUB2 Bootloader. The course also covers file compression and backup strategies to ensure data security. You'll learn about user interface management, including remote access and desktop configurations, and develop troubleshooting skills for common Linux issues like network and storage problems and resetting lost root passwords. Practical labs provide hands-on experience.
Coursera
Introduction to Cybersecurity Fundamentals
"Introduction to Cybersecurity Fundamentals" is a concise yet comprehensive course designed to provide participants with a solid understanding of the essential principles and practices in the field of cybersecurity. In just 90 minutes, learners will embark on a journey into the world of cybersecurity, learning to think like a hacker and developing strategies to protect data and networks. Through engaging lessons and demonstrations, this course will empower participants with the knowledge needed to defend against common cyber threats and instill best practices for safeguarding data and privacy. This course is ideally suited for individuals at the beginning of their cybersecurity journey or anyone seeking to bolster their foundational knowledge of cybersecurity concepts and strategies. Whether you aspire to become a cybersecurity professional or simply wish to enhance your digital security awareness, this course is designed to meet your needs. It is accessible to a broad audience, from tech enthusiasts looking to understand cybersecurity fundamentals to professionals in various fields who want to protect their personal and organizational data. To enroll in this course, participants should have a basic familiarity with computers and their use as part of a network. While no prior cybersecurity knowledge is required, a general understanding of computing concepts will be beneficial. Participants should also come with a willingness to learn and an eagerness to explore the critical world of cybersecurity. This course serves as an excellent starting point for those interested in building a career in cybersecurity or those who want to bolster their cybersecurity knowledge to better protect themselves and their organizations from the ever-evolving landscape of cyber threats.
Google Cloud
Machine Learning in the Enterprise - 日本語版
このコースでは、ML ワークフローに対する実践的なアプローチを取り上げます。具体的には、いくつかの ML のビジネス要件とユースケースに取り組む ML チームをケーススタディ形式で紹介します。このチームは、データ マネジメントとガバナンスに必要なツールを理解し、データの前処理に最適なアプローチを検討する必要があります。 2 つのユースケースに対して ML モデルを構築するための 3 つのオプションがチームに提示されます。このコースでは、チームの目標を達成するために、AutoML、BigQuery ML、カスタム トレーニングを使用する理由について説明します。
University of Illinois Urbana-Champaign
Introduction to Finance: The Role of Financial Markets
In Introduction to Finance: The Role of Financial Markets, you will be introduced to the basic concepts and skills needed for financial managers to make informed decisions. With an overview of the structure and dynamics of financial markets and commonly used financial instruments, you will get crucial skills to make capital investment decisions. With these skills, you will be ready to understand how to measure returns and risks and establish the relationship between these two. The focus of this course is on basic concepts and skill sets that will have a direct impact on real-world problems in finance. The course will enable you to understand the role of financial markets and the nature of major securities traded in financial markets. Moreover, you will gain insights into how to make use of financial markets to create value under uncertainty.
Coursera
GenAI for Customer Service Representatives
Welcome to "GenAI for Customer Service Representatives," an introductory course designed to empower customer service professionals with the knowledge and tools of Generative AI (GenAI). This course will illuminate how GenAI can revolutionize customer service by enhancing response times, personalizing interactions, and analyzing large volumes of feedback efficiently. You’ll explore the fundamentals of GenAI, practical applications in real-world scenarios, and important ethical considerations to use these technologies responsibly. This course is tailored for customer service representatives eager to leverage GenAI technologies to enhance their daily operations. It is also suitable for customer service managers aiming to integrate GenAI into their strategic initiatives, and IT professionals or technical support staff interested in the technological aspects of GenAI for seamless implementation and innovation. Participants should have a basic understanding of customer service processes and tools. While a deep technical background is not required, a curiosity and willingness to explore new technologies will be beneficial. This course is designed for those open to integrating GenAI tools into their customer service workflows. This course will help you understand Generative AI (GenAI) and its role in customer service, including its capabilities, limitations, and the latest advancements. You'll learn to apply GenAI to improve workflows, evaluate real-world applications, and experiment with tools. Additionally, you'll explore the risks, ethical considerations, and strategies for responsible integration, reflecting on how GenAI can enhance service quality and productivity.
Whizlabs
Storage in Azure
This course is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with Storage in Azure Course is the second course of the Exam Prep AZ-104: Microsoft Azure Administrator Associate Specialization. This course assists learners with the knowledge of the Basics of Azure Storage Accounts. The course also focuses on how to access the storage accounts and then how to manage data in storage accounts. This course is basically divided into three modules Lessons and Video Lectures further segment each module. This course facilitates learners with approximately 3:00-4:00 Hours of Video lectures that provide both Theory and Hands-On knowledge. Also, Graded and Ungraded Quizzes are provided with every module in order to test the ability of learners high school students, and professionals with an interest in programming.
Google Cloud
Measuring and Improving Speech Accuracy
This is a self-paced lab that takes place in the Google Cloud console. With this lab and Google’s tools you can learn how to get the best possible quality from the Speech-to-Text systems on your specific data.
Coursera
Marketing Project Management and Strategy Fundamentals
Build the essential skills to contribute to real marketing projects from day one. In this course, you will develop practical competencies across four key areas: project management, professional communication, digital collaboration, and marketing strategy. You will work with industry-standard tools like Trello to organize and track tasks, apply the SMART framework to set clear, measurable goals, and use cloud-based platforms to share documents securely with your team. You will also gain hands-on experience with core marketing concepts — including target audiences, value propositions, and SWOT analysis — that form the foundation of strategic decision-making in any marketing role. Designed for those entering the field of digital marketing, this course connects everyday workplace tasks to the bigger picture of how marketing teams operate. Each skill you build translates directly into actions you will take in a real job: updating project boards, posting team updates, adjusting file permissions, and drafting strategic analyses. By the end, you will be ready to contribute confidently to a marketing team as a productive, organized, and strategic collaborator.
Coursera
Present Insights: Drive Prioritization with Data Stories
Turn raw data into stories that drive action. In today's data-rich environment, analytics professionals who can transform complex findings into compelling narratives hold the keys to organizational influence and strategic impact. This Short Course was created to help data analysts and product analysts bridge the gap between technical analysis and executive decision-making. By completing this course, you'll be able to structure your insights using proven storytelling frameworks, connect quantitative user data to qualitative personas, and present recommendations that resonate with stakeholders and drive immediate prioritization decisions. By the end of this course, you will be able to: Organize analytical insights into presentations using the Situation-Complication-Resolution narrative framework Create narratives that link user cohorts to personas to inform strategic prioritization This course is unique because it combines data science rigor with storytelling craft, teaching you to become the translator between complex analytics and actionable business strategy. To be successful in this course, you should have experience with data analysis tools and basic understanding of user segmentation concepts.
University of California, Davis
AI Agents: From Prompts to Multi-Agent Systems
Unlock the transformative power of AI agents to boost your productivity and job satisfaction. Join Dr. Martin Hilbert in this comprehensive course that covers generative AI basics and the creation of multi-agent systems. Designed for professionals, students, and AI enthusiasts, this course blends theoretical insights with practical skills. Learn to customize AI prompts, build effective workflows, and develop multi-agent systems to tackle complex tasks. By the end, you'll be equipped with the knowledge and tools to harness AI for immediate benefits in your personal and professional life. Enhance your career prospects as AI reshapes industries. Gain sought-after skills in designing and implementing AI agents, preparing you to stand out in the job market. Through interactive lab assignments, you'll apply AI solutions in real-world scenarios. Enroll now and become an AI-savvy innovator!
L&T EduTech
Design of Precast System
The course on "Design of Precast Systems" provides comprehensive training in the modeling, analysis, and design of precast reinforced concrete (RC) structures using advanced software tools such as ETABS and SAFE. It covers various aspects from initial modeling to detailed design considerations, focusing on efficient construction methods and structural integrity. Target Learners: Undergraduate students of Civil Engineering Post-Graduate Students of Geotechnical Engineering Practicing Engineers in Pile Construction based projects. Faculties of Civil Engineering Domain Pre-requisites: Analytical skill for determinate & indeterminate structures and design knowledge of reinforced concrete members Exposure to codes and standards (Indian standard codes for concrete, wind and earthquake design)
Board Infinity
AI Development with DeepSeek for Developers
The AI Development with DeepSeek for Developers course is a hands-on guide to building real-world AI applications using DeepSeek's open-source models—no prior experience required. Designed for developers, students, ML engineers, and tech enthusiasts, this course combines conceptual overviews with practical projects, delivered through Jupyter notebooks and popular Python libraries like LangChain, Streamlit, Promptify, DSPy, and DeepEval. Start by exploring DeepSeek’s ecosystem, accessing V3, R1, and Coder models via web and API, and building your first Q&A app. Next, apply DeepSeek to real-world tasks—summarizing documents, generating code, building interactive Q&A systems, and advanced reasoning. Then, create task-specific AI agents, compare DeepSeek’s performance and pricing with leading LLMs, and interpret benchmark results. Finally, explore DeepSeek’s unique features—GRPO, Mixture-of-Experts architecture, quantized models, and fine-tuning options for custom use cases. By the end, you will be able to: - Build Q&A, chatbot, and code generation apps using DeepSeek and Python tools. - Apply DeepSeek for summarization, coding, and advanced reasoning in real projects. - Create and compare AI agents, analyze model performance, and interpret benchmarks. - Customize and evaluate DeepSeek models for your own use cases, leveraging open-source features. Whether you’re starting your AI journey or expanding your toolkit, this course will help you confidently build and deploy practical AI solutions with DeepSeek. 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 Deepseek or any of its subsidiaries or affiliates. This course is not an official preparation material of Deepseek. All trademarks, service marks, and company names mentioned are the property of their respective owners and are used for identification purposes only.
Banco Interamericano de Desarrollo
Dimensions of Sustainable Infrastructure in a Project
This course presents the four dimensions of sustainable infrastructure and explains the relationship and impact of sustainable infrastructure on nature-based solutions, gender equity, and employment. Additionally, it describes how public-private partnerships (PPPs) can be a valuable resource for the implementation of sustainable infrastructure. Upon completing the course, you will be able to identify how each dimension of sustainable infrastructure is articulated, as well as its operation during the planning and implementation of a project. Moreover, you will recognize the role of institutions, as well as the support strategies and technical assistance from the IDB to favor the implementation of sustainable infrastructure projects. Guided by professionals who are experts in the field, you will be able to recognize critical infrastructure projects and their characteristics of interdependence, sustainability, and resilience that are essential for achieving the goals of the Paris Agreement and the Sustainable Development Goals. In this way, you will learn about the role of sustainable infrastructure in employment, gender equity, and nature-based solutions.
IBM
Product Management: Capstone Project
In this comprehensive capstone course, you’ll apply your product management skills to take on the role of a product manager and, using the scenario provided, produce 16 essential industry-recognized product management artifacts. You’ll create an Ansoff matrix, the product vision document, the Product Requirements Document (PRD), and the product roadmap. You’ll also develop the business case and create the product narrative, the positioning statement, marketing collateral recommendations, a demand generation plan, and an end-of-life plan. You’ll submit your completed artifacts for peer review and grade your peers’ submissions. These artifacts can help you demonstrate your readiness for entry-level product manager roles to future employers. Then, test your knowledge with questions similar to those you will experience when taking the Association of International Product Marketing & Management (AIPMM) Certified Product Manager (CPM) certification exam. Take advantage of the bonus module to get personal portfolio tips that can help you showcase your product management acumen to prospective employers. You’ll also get helpful resume tips and advice about starting your product manager job search.
DeepLearning.AI
AI、機械学習、ディープラーニングのための TensorFlow 入門
ソフトウェア開発者であれば、拡張性のあるAI搭載アルゴリズムを構築したい場合、構築ツールの使い方を理解する必要があります。この講座は今後学んでいく「TensorFlow in Practice 専門講座」の一部であり、機械学習用の人気のオープンソースフレームワークであるTensorFlowのベストプラクティスを学習します。 アンドリュー・エンの「 The Machine Learning（機械学習）」と「Deep Learning Specialization（ディープラーニング専門講座）」では、機械学習とディープラーニングの最も重要かつ基本的な原理を学習します。deeplearning.aiが提供する新しい「TensorFlow in Practice 専門講座」では、TensorFlowを使用してそれらの原理を実装し、拡張性のあるモデルを構築して現実世界の問題に適用する方法を学びます。ニューラルネットワークの仕組みについての理解を深めるには、「ディープラーニング専門講座」を受講することをお勧めします。