The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
University of Michigan
Inspiring and Motivating Individuals
In this course, you will learn how to create a shared vision for your team and effectively communicate it to your teammates. You will also learn how to set effective goals and expectations in a way that best enables your team to attain the shared vision. Finally, you will understand the most important needs and drivers of performance across cultures, and will learn to align rewards with desired behaviors so that your teammates are motivated to attain the team’s objectives. Motivation represents a crucial challenge for contemporary organizations: A recent Gallup poll revealed that only 13% of workers worldwide exhibit high levels of engagement and motivation. We will show you why these motivation problems are not simply due to a “bad” or “unmotivated” team member. Rather, motivation is very much driven by what work conditions we create for our teammates, how we structure goals and objectives, and how we reward people for the accomplishment of those goals. This course will help you diagnose and solve motivation problems so that you can bring out the best in your people.
Coursera
Responsive Design in Bootstrap: Create a Blog Homepage
In this 2-hour project, you will gain the skills to design and build responsive web pages using Bootstrap's grid system by mastering the process of translating design requirements and mockups into functional and visually appealing layouts. By the end of this project, you will be able to create web pages that adapt seamlessly to various devices and screen sizes. The skills taught in this intermediate-level project will help web developers and designers in a wide range of real-world scenarios such as designing websites for magazines, news, and similar types of content. Throughout this project, you will apply bootstrap techniques to build a responsive blog home page using Bootstrap by effectively analyzing design requirements and mockups and utilizing Bootstrap's grid system to construct responsive layouts, and adapt page layouts to different screen sizes and devices. To succeed in this project, you need to be familiar with HTML5 page structure and core components (div, buttons, etc.). Some CSS3 knowledge could be helpful, but it is not required.
Tecnológico de Monterrey
Conceptos y Herramientas para la Física Universitaria
Este curso provee al estudiante con conceptos y herramientas matemáticas para modelar problemas en física, que al aplicar podrá enfrentar con éxito los cursos de física universitarios. Así pues, la filosofía de este curso consiste en cubrir temas conceptuales relativos a la Física y desarrollar tu capacidad de aprender y aplicarlos en tu vida profesional. El curso se aborda en dos fases a través de las cuales el alumno: - Aprenderá a aplicar el cálculo diferencial e integral para interpretar y modelar la cinemática de una partícula en una dimensión, - Aprenderá el manejo de cantidades físicas vectoriales en forma gráfica y analítica en dos y tres dimensiones.
Amazon Web Services
Getting Started with AWS Mainframe Modernization Service
With AWS Mainframe Modernization, you can modernize your mainframe applications and migrate them to Amazon Web Services (AWS) managed runtime environments. In this course, you will learn the benefits and technical concepts of AWS Mainframe Modernization. If you are new to the service, you will learn how to start with it through a demonstration using the AWS Management Console. You will learn about the native architecture and how the built-in features can help you streamline the process of migrating your mainframe applications to the AWS Cloud.
Arizona State University
Careers in Sustainability
This course is an introduction to careers in sustainability, focusing primarily on the role of a sustainability analyst at public and private organizations. Through a mix of video, print, peer review, and interactive content, learners will be able to explain sustainability and the specifics of a sustainability analyst’s job within an organization. The course is structured around two elements: topical knowledge and practical application. Throughout the course, learners can practice what they learn and get feedback from their peers to build their skills. Additionally, knowledge checks provide milestones for learners to ensure that they understand the necessary information about each topic presented. Each module begins with a video that introduces the concepts taught in the lesson, including interviews with ASU School of Sustainability professors. Interactive activities and hands-on application are central to the learner experience in this course. They include participating in mini-application experiences, trying out real-life skills with expert feedback, and creating personalized tools like presentation slide decks and spreadsheet templates to use in the role on day one of a new job. The interactive and hands-on activities are specifically designed to teach not only sustainability skills but also professional skills like professional writing, presentation skills, and conducting successful video meetings. This combination of practical skills and specialized content makes this course a unique foundation for the rest of the specialization.
Rice University
Writing Skills for Engineering Leaders
Engineering leaders must write extensively for their jobs, and their writing needs to be professional, reader-focused, and error-free. What leaders write in particular can affect productivity and the bottom line, so the written communication that leaders create must be clear and concise. In this course, you’ll learn essential writing skills that you can apply in your daily activities on the job as an engineering leader. You’ll learn key principles in • Approaching various engineering genres • Using the writing process to create quality documents • Making your writing structured • Making your writing clear and concise • Handling style, tone, and voice Selected materials courtesy of Communication Faculty at Rice University - all rights reserved.
Google Cloud
Merging Results from Different Explores in Looker
This is a Google Cloud Self-Paced Lab. In this lab, you will merge results from different explores in Looker.
Coursera
كيفية جمع المال لمحاربة الاستغلال عبر أدوات فيسبوك للتبرعات
في هذه الدورة التدريبية القائمة على المشروع والتي تستغرق ساعة واحدة، ستتعلم كيفية جمع المال لمحاربة الظلم من خلال التبرع على فيسبوك باستخدام الوسائل المتاحة، إضافة إلى معرفة البلدان التي بإمكانها إنشاء حملة تبرعات على فيسبوك وكيفية إنشاء الحملة. في نهاية هذه الدورة، ستصبح قادراً على معرفة البلدان التي بإمكانها إنشاء حملة تبرعات على فيسبوك بيكسيل.
ISSA (International Sports Sciences Association)
The Building Blocks of Nutrition for Fitness
By the end of this course, you will understand how food functions as fuel, how metabolism and energy balance influence body composition, and how macronutrients, micronutrients, and hydration impact performance and health. You’ll also explore the psychology behind food choices and long-term habit formation . This course builds a strong scientific foundation for anyone interested in nutrition, fitness, or behavior change. You’ll learn how to evaluate diet trends critically and interpret nutrition information with confidence — an essential skill in an industry crowded with misinformation. What makes this course unique is its focus on applied understanding rather than memorization. Instead of just learning what nutrients are, you’ll understand how they work in real-world contexts across different goals and populations. This is the starting point for developing professional-level nutrition knowledge — and the first step toward becoming a certified Nutrition Coach.
University of the Arts London
Creative AI: Sound, Music and Interaction
This course explores how artificial intelligence is reshaping the way we make, perform, and think about music. Focusing on sound, interaction, and creative collaboration, you’ll learn how AI can be used to build new kinds of musical instruments, act as a creative partner, and generate original audio and voice. By the end of the course you will be able to: - Explore how AI can be used to design new musical instruments and interactive systems that respond to gesture, movement, and sound. - Understand the role of AI as a creative partner in music composition and performance, and examine how this reshapes ideas of creativity and authorship. - Evaluate the ethical and legal implications of using AI in music, including issues around ownership, attribution, and the rights of artists and performers. - Experiment with practical tools for generating, manipulating, and performing music using AI, gaining insight into current techniques and future possibilities. Through hands-on walkthroughs, practical tools, and case studies, you’ll experiment with gesture-based systems, explore real-time music generation, and discover how machine learning can be trained to respond to human input. Alongside these technical explorations, the course invites you to engage with critical questions around creativity, authorship, and the legal implications of AI in music production. Featuring perspectives from leading artists, choreographers and researchers working at the intersection of AI and music, this course provides both the practical knowledge and critical framework to begin experimenting with sound and AI in your own creative practice. No prior technical experience is required, the course has been designed for anyone with a curiosity and a passion for exploring new ways of making music.
28DIGITAL
AI for Cybersecurity
The AI for Cybersecurity course offers a comprehensive introduction to the usage of AI methods, most specifically machine learning in the field of cybersecurity. It begins with an introduction to AI, covering its definitions, historical development, and general applications. The course then discusses the importance of AI in cybersecurity, introducing key concepts, and the distinction between the host security and the network security. Students will gain a solid understanding of cybersecurity fundamentals, including common attack vectors and vulnerabilities, as well as an introduction to the defense mechanisms used to protect systems. In the first parts, the course presents the core AI techniques applicable to cybersecurity from a theoretical point of view, with a focus on machine learning (ML) methods such as supervised, unsupervised and reinforcement learning. In subsequent parts, students will learn how to apply ML techniques practically to specific cybersecurity challenges like malware detection and classification, intrusion detection, and email spam filtering. They will explore the process of implementing ML models for these tasks, training and evaluating them on data using the Python programming language. Overall, this course equips students with both the theoretical understanding and practical skills needed to apply AI methods in order to protect systems against evolving cyber threats.
EDUCBA
Create Sales Charts in C++ Using Graphics Programming
By the end of this course, learners will be able to design, implement, and analyze graphical sales charts using C++ programming. They will apply user input handling, screen coordinate systems, scaling techniques, and graphical functions to create accurate bar charts and pie charts that visually represent sales data. This hands-on course focuses on building a complete mini-project from scratch, guiding learners step by step through the process of creating interactive sales charts in C++. Instead of relying on theory alone, the course emphasizes practical graphics programming using real data entry, allowing learners to understand how numerical values are transformed into meaningful visual representations. What makes this course unique is its project-driven approach combined with incremental development. Learners start with basic chart concepts and gradually enhance their visualizations by adding scaling, labels, and multiple chart types. By working through bar charts and pie charts in detail, learners gain confidence in C++ graphics programming and data visualization techniques that are rarely covered in depth in beginner-level courses. This course is ideal for students, beginners, and aspiring programmers who want to strengthen their C++ skills through real-world graphical applications.
ISAE-SUPAERO
Developments of structural dynamics
This course is devoted to the dynamic implementation of continuous structural elements vs discrete models. The matrix representation and implicit solution of Lagrange’s equation are at the heart of this approach, in the framework of conservative structural systems, with Gaussian modes. The prototype of the continuous element being the prismatic beam - as an illustration, but with general value - and the implicit model/solution leads to the major place of natural eigenshapes in vibration and shocks theory and general dynamic representation of structures and foundations of the dynamic tests and certification. In fact, this course is a perspective on the double vision of any dynamic structure, with the continuous point of view and a digital model in perspective. At the end of this course, the physicist, the mechanical engineer, the specialist in control will have a general overview of the dynamic representation and implicit solution applicable in structural analysis and control of general dynamic systems. In a certain way, it is founded on the famous discussions between Albert Einstein and Niels Bohr. Recommendation: we suggest having a look, at the course "Foundation of structural dynamics: from static to discrete dynamics". This course proposes an original point of view of the foundations of dynamics. And could highlight the present course.
Edureka
Generative AI for Cybersecurity Professionals
This program equips cybersecurity professionals, AI security practitioners, SOC leaders, and governance specialists with the expertise required to integrate Artificial Intelligence and Generative AI into security operations responsibly and securely. You will begin by exploring AI fundamentals, comparing traditional detection approaches with AI-driven analytics, and understanding how Large Language Models enhance SOC workflows. Through guided demonstrations, you will examine real-world applications such as AI-based malware detection, automated triage, and intelligent threat analysis. Building on AI foundations, you will explore transformer architectures, evaluate LLM capabilities and limitations, and apply AI systems to cybersecurity use cases. Emphasis is placed on identifying output risks, implementing guardrails, and maintaining human oversight in AI-assisted workflows. Next, the program advances into secure prompt engineering and AI system defense. You will learn how prompt injection attacks occur, how adversarial machine learning manipulates models, and how AI pipelines can be hardened against misuse. Structured exercises demonstrate how robust model training, monitoring, and validation reduce AI-specific security risks. The course then expands into governance, ethics, and compliance frameworks. You will analyze bias, fairness, transparency, and accountability challenges in AI systems, and align AI deployment with recognized standards such as NIST and regulatory compliance frameworks. Practical examples demonstrate how to audit AI systems and establish responsible oversight mechanisms. Finally, you will integrate AI security, adversarial defense, and governance strategies in a structured practice project, designing a secure AI-enabled SOC framework aligned with enterprise risk management principles. By the end of this program, you will be able to: -Explain AI, GenAI, and LLM concepts in cybersecurity contexts. -Apply AI and LLMs to enhance SOC detection and triage workflows. -Design secure prompt engineering and guardrail controls. -Identify vulnerabilities across AI pipelines and system architectures. -Defend against adversarial machine learning attacks. -Implement ethical, transparent, and compliant AI governance frameworks. -Audit AI-assisted decisions for bias, risk, and misuse. -Design a secure AI-driven security operations strategy. This course is designed for SOC professionals, cybersecurity engineers, AI security practitioners, governance officers, and security leaders seeking to responsibly integrate AI into enterprise defense strategies. Join us to build the technical insight, defensive resilience, and governance expertise required to secure AI-powered cybersecurity operations in modern enterprises.
Coursera
Safeguard LLM Outputs: Test and Evaluate
As AI models like Google's Gemini have shown, even the most advanced systems can have spectacular safety failures, leading to brand damage and a loss of user trust. "Safeguard LLM Outputs: Test and Evaluate" is an intermediate course for developers and ML engineers who need to move beyond functional testing and build truly trustworthy AI. This course teaches you the rigorous, adversarial testing methodologies that professional AI Red Teams use to secure high-stakes applications. You will learn to translate abstract safety policies into concrete, automated behavioral tests using pytest, designing adversarial prompts to systematically probe for weaknesses. Then, you will master the practice of "testing your tests" by using mutation testing frameworks like mutmut to find and eliminate hidden gaps in your safety net. By the end of this course, you will be able to not only ensure your LLM behaves safely but also prove that the tests verifying that safety are themselves comprehensive and robust.
EDUCBA
Apply TOSCA Automation in a Faculty Feedback System Project
Learners will analyze real-world requirements, apply TOSCA automation concepts, design test cases, and execute end-to-end tests for a complete Faculty Feedback System project. This course enables learners to move beyond isolated tool features and focus on applying automation skills in a structured, project-driven environment. Through a step-by-step approach, learners explore the full lifecycle of test automation using TOSCA—starting from understanding project flow and user roles, to designing databases, managing test data, creating role-based modules, and finally executing and validating automated test cases. Each module mirrors real industry practices, helping learners connect theory with hands-on implementation. What makes this course unique is its end-to-end project focus. Instead of fragmented examples, learners work on a single, cohesive system that reflects real enterprise applications. This approach builds confidence in handling automation projects independently, improves problem-solving skills, and strengthens job-ready expertise. By completing this course, learners gain practical experience in automation testing, improve their understanding of system workflows, and develop the ability to design, execute, and validate test cases using TOSCA—skills that are highly valuable for software testing and QA automation roles.