The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
Agentic AI Content for Practitioners (Teams: Data)
Agentic AI Content for Practitioners (Teams: Data) is an intermediate-level course designed to equip data professionals, software engineers, and business analysts with the knowledge and skills to design, implement, and optimize AI agents for intelligent data automation. As organizations transition from experimental AI deployments to enterprise-scale implementations, this course provides the practical expertise needed to build reliable, scalable agent systems that deliver measurable business value. Through hands-on labs, real-world case studies, and interactive projects, you'll learn to transform manual data operations into intelligent, adaptive systems. The course covers everything from agent architecture fundamentals to advanced optimization strategies, preparing you to lead AI agent initiatives in your organization. You'll explore popular frameworks, design patterns, and deployment strategies while addressing critical considerations like error handling, scalability, and enterprise integration. Whether you're automating data quality monitoring, building predictive analytics systems, or creating intelligent customer service agents, this course provides the foundation you need to succeed in the rapidly evolving landscape of AI-powered data automation.
Packt
Asking Great Sales Questions
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. Mastering the art of sales questioning is one of the most powerful tools you can develop as a sales professional. This course provides actionable insights and practical techniques to help you ask the right questions that not only reveal client needs but also drive meaningful, trust-based relationships. You’ll gain tools to increase your influence, boost client engagement, and close more deals with confidence. Your learning journey begins by strengthening foundational questioning skills—understanding why they matter, how they shape client interactions, and how to use open-ended, probing, and psychologically informed questions to achieve better sales outcomes. From there, you’ll dive into more advanced strategies, such as using research to tailor your questions and exploring emotional motivators behind buying decisions. Each module builds on the previous one to deepen your strategic approach. You’ll then learn how to transform your sales conversations with active listening, targeted inquiries into pain points, and building long-term partnerships. The course wraps with applied communication techniques, including phone sales and structured meeting questions, plus access to a professional discussion forum for continued growth. This course is ideal for sales professionals, entrepreneurs, and client-facing teams looking to boost their conversation skills and results. No prior sales training is required, though familiarity with basic sales processes is helpful. The difficulty level is intermediate, balancing foundational knowledge with advanced applications. By the end of the course, you will be able to craft compelling sales questions, uncover client motivations, build trust-based relationships, and turn conversations into conversions.
University of Colorado Boulder
Quantum Mechanics
Course 2 of Statistical Thermodynamics presents an introduction to quantum mechanics at a level appropriate for those with mechanical or aerospace engineering backgrounds. Using a postulatory approach that describes the steps to follow, the Schrodinger wave equation is derived and simple solutions obtained that illustrate atomic and molecular structural behavior. More realistic behavior is also explored along with modern quantum chemistry numerical solution methods for solving the wave equation.
Coursera
Forecast and Validate Your Marketing Traffic
Are you making marketing decisions based on incomplete or inaccurate data? Master the essential skills that turn raw web traffic data into reliable business intelligence. This Short Course was created to help digital marketing professionals accomplish accurate traffic forecasting and bulletproof data validation. By completing this course, you'll be able to confidently predict future website performance using statistical modeling, validate your analytics data integrity, and provide media planning teams with reliable projections they can trust for budget allocation and campaign planning. By the end of this course, you will be able to: Apply regression analysis to forecast traffic trends and corroborate the impact of seasonal campaigns. Evaluate data variance between real-time analytics and historical records. This course is unique because it combines predictive analytics with practical data quality assurance, ensuring your marketing forecasts are both statistically sound and operationally reliable. To be successful in this course, you should have basic familiarity with web analytics platforms and fundamental understanding of marketing metrics.
Coursera
CorelDRAW for Beginners
Transform your creative ideas into professional visual identities with this project-based course. You will master the CorelDRAW 2024 interface, learning to architect digital canvases with precise bleeds and color profiles. Moving into vector construction, you will deconstruct complex icons into geometric shapes, utilizing Weld and Trim tools to build unique, scalable logos. Finally, you will apply layout principles to design professional flyers and business cards for the "EcoVibe Home" brand, culminating in the expert export of PNG, JPG, and PDF files. This course is perfect for beginners with little to no experience in graphic design or CorelDRAW. If you're a budding designer, a small business owner seeking to create your own branding assets, or someone who wants to learn the fundamentals of digital design using a professional software suite, this course is for you. No prior experience with CorelDRAW or graphic design is required, but basic computer literacy and a copy of CorelDRAW 2024 are necessary. No prior experience with CorelDRAW or graphic design is required. Basic computer literacy and a copy of CorelDRAW Standard 2024 are necessary, along with a desire to learn and create professional design assets using industry-standard tools. By the end of this course, you will have developed the skills to create professional logos, flyers, and business cards using CorelDRAW 2024, and you'll be able to confidently design and export high-quality visual assets tailored to any brand.
Tecnológico de Monterrey
Implicaciones estratégicas de la marca
Las marcas de hoy en día forman una parte esencial en las estrategias de marketing que las empresas desarrollan para el crecimiento de sus productos y/o servicios. Durante este segundo curso analizaremos los elementos principales que conforman una marca, así como la importancia de seguir los pasos y las acciones estratégicas que las fortalecen. En este segundo curso proponemos los elementos que debe contener una estrategia de marca, el fortalecimiento de la identidad de marca, el lanzamiento de una marca nueva y cómo comunicar la arquitectura de marca y su nomenclatura, así como también poder mantener una marca, a largo plazo. Al concluir este curso, se podrán analizar sus implicaciones, su gestión el lanzamiento y sobre todo; el impacto que ésta tendrá en las organizaciones y para el cumplimiento de sus objetivos. • Conocer cuáles son las principales implicaciones en la realización de una nueva marca. • Identificar los principales elementos que intervienen en el lanzamiento de una marca, los cuáles son necesarios para consolidar el mercado objetivo de la organización. • Distinguir las diferentes estrategias de marketing que se pueden emplear para mantener una marca en el mercado a largo plazo.
Lund University
Dispelling myths about sustainable consumption
What if many of the ideas we take for granted about sustainability are actually myths? This course challenges the familiar stories that shape our everyday choices, business strategies, and public policies. From the belief that more information will automatically change behaviour, to the idea that technology alone will solve environmental crises, myths about sustainable consumption obscure the structural transformations that are truly needed. In this MOOC, developed by Lund University’s International Institute for Industrial Environmental Economics (IIIEE) together with international partners, you will explore twelve of the most persistent myths about sustainable consumption. Each lesson unpacks a specific myth, tracing its cultural and historical origins, examining its environmental and social consequences, and presenting evidence-based arguments that challenge its validity. The course brings together leading scholars and practitioners, combining short lectures, expert interviews, real-world case studies, and interactive quizzes. By the end of the course, you will be equipped to identify and critically assess myths that dominate sustainability debates, and to reflect on alternative strategies for systemic change. Whether you are a student, policymaker, business professional, or simply curious, this course will help you rethink consumption and imagine more just and sustainable futures.
National Taiwan University
東亞儒學：孟子二 (East Asian Confucianisms: Mencius(2))
本課程希望透過對《孟子》原典的解讀，使學生發現中國傳統文化的精髓與深刻的人文意涵，並能對應其所處的21世紀全球化時代，領悟經典的現代意義，使其知識得到深刻的啟發，生命也能獲得厚實的成長。 課程內容將帶領同學從戰國至唐、宋、明、清與孟子對話。在對話中，照見自己身處的時代困境，並思索出合宜的處世原則，例如：朱子、陽明都曾藉由與孟子思想的對話，學習孟子的人生智慧，以因應其時代環境之困境。 學生修習本課程，除可了解孟子以強靭的生命力，剛正不阿的性格批判他所處的時代，並試圖改變時代。也可認識孟子抱著堅定的使命感，在政治轉型、社會重組、經濟發展的戰國時代，強力批判急功近利的社會風氣，那種以天下為己任的精神，是值得現今知識分子效法的人格典範。
Coursera
Transform Audio: Extract Features & Augment Models
Did you know that 80% of audio AI models fail in production due to acoustic variability they never encountered during training? This Short Course was created to help machine learning professionals accomplish robust audio processing through advanced feature extraction and data augmentation techniques. By completing this course, you'll be able to transform raw audio waveforms into machine learning-ready features using spectral and cepstral analysis, and build automated augmentation pipelines that simulate real-world acoustic conditions your models will encounter in deployment. By the end of this course, you will be able to: Apply spectral and cepstral feature extraction techniques to audio data. Create audio augmentation pipelines to improve the robustness of audio models. Apply spectral and cepstral feature extraction techniques to preprocess and analyze audio data. Design and implement audio augmentation pipelines to enhance model robustness and generalization This course is unique because it combines theoretical signal processing foundations with practical pipeline implementation, giving you both the mathematical understanding and hands-on skills to build production-ready audio ML systems. To be successful in this project, you should have a background in Python programming, basic machine learning concepts, and familiarity with audio processing libraries. This course stands out by blending core signal processing theory with hands-on pipeline implementation, giving you both the mathematical grounding and practical experience required to build production-ready audio ML systems. To succeed, you should be familiar with Python, basic ML concepts, and common audio processing tools.
Pearson
CompTIA Cloud CV0-003: Unit 3
This course is designed to provide you with the foundational skills necessary to navigate the complexities of cloud security, a critical component of modern IT infrastructure. Through two comprehensive lessons, you will delve into the intricacies of IAM, exploring various access management types and identity provider types. Gain proficiency in credential management, from passwords to multi-factor authentication (MFA), and master the art of managing keys and secrets. In addition, you will explore Cloud Network Security, where you will learn about network segmentation, protocols, and services. Develop the ability to monitor networks effectively and implement robust security measures using design patterns and appliances. This course not only prepares you for the CompTIA certification but also equips you with practical skills to enhance your career in cloud security.
Packt
Co-Management, Updates, Reporting & Troubleshooting
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'll gain expertise in managing software updates, co-management, and reporting within your organization’s System Center Configuration Manager (SCCM) environment. You'll learn the essential steps involved in deploying and maintaining software updates, including configuring update points, managing synchronization, and handling both manual and automatic deployment strategies. Additionally, you'll explore troubleshooting techniques, tools, and strategies to ensure your systems stay optimized and secure. You'll also dive into the intricacies of reporting within SCCM, learning how to configure and manage reporting roles to maintain transparency in your infrastructure. From operational maintenance tasks to the tools needed for everyday management, this course provides a comprehensive overview to keep your systems running smoothly. The course is ideal for IT professionals and SCCM administrators who want to enhance their expertise in SCCM's core functionalities, including software updates, co-management, reporting, and troubleshooting. A basic understanding of SCCM is helpful, but this course also serves as a detailed guide for users looking to dive deeper into the system.
EDUCBA
Business Strategy: Analyze, Apply & Transform
Learners will analyze corporate portfolios, evaluate niche strategies, apply differentiation and focus frameworks, and implement operational re-engineering methods to achieve long-term competitiveness. By completing this course, learners will develop the ability to design growth strategies, balance efficiency with effectiveness, and integrate ethics and CSR into strategic decision-making. This course provides a comprehensive journey through strategic management, beginning with growth and stability approaches, moving through business strategy frameworks, and advancing into portfolio analysis and niche evaluation. It concludes with implementation, control systems, specialized strategies, and re-engineering for organizational transformation. Unlike generic strategy courses, this program combines practical business matrices, global case applications, and functional alignment tools that bridge theory with execution. Learners gain not only conceptual clarity but also actionable skills to prioritize strategies, allocate assets effectively, and drive innovation through re-engineering practices. By the end of this course, learners will be equipped with a holistic framework for analyzing, evaluating, and implementing strategies that foster sustainable growth, ethical responsibility, and competitive advantage in dynamic global markets.
Coursera
RF/Microwave Design - S-parameter Analysis
This course empowers learners to analyze, design, and evaluate RF and microwave systems using S-parameter techniques with some focus to 5G radio and microwave equipment. Through structured theory, interactive visualization, and practical tool-based sessions, participants will interpret the behavior of S-parameters, design impedance matching networks, and simulate wideband performance using professional-grade tools such as Smith Chart Online, Qorvo Match Calc, and CST Studio Suite. The course progressively develops competence from essential principles to advanced wideband considerations, ensuring a clear understanding of how reflection, transmission, stability, and gain metrics define real-world RF performance. This course is for RF engineers, electronics professionals, and advanced students who want to master S-parameters, matching networks, and wideband 5G/microwave system design, bridging theory with practical testing skills. Learners should have a basic understanding of electrical engineering concepts such as impedance, reflection, and frequency response, along with familiarity with decibels, phase, and vectors. Comfort with technical software tools is also beneficial. By the end, learners will synthesize theory and simulation to confidently evaluate and optimize RF components and systems across a broad frequency range.
EDUCBA
Analyze Fixed Income, FX Markets, and Asset Management
Learners will analyze foreign exchange markets, evaluate money market instruments, apply asset management principles, and assess derivative strategies used to manage financial risk. By the end of this course, learners will be able to interpret FX transactions, compare fixed income and money market instruments, explain mutual fund and hedge fund structures, and evaluate the use of swaps, futures, options, and credit derivatives in real-world financial contexts. This course equips learners with practical, market-relevant knowledge of FX markets, fixed income instruments, asset management vehicles, and derivatives, building a strong foundation for roles in banking, treasury, risk management, and investment operations. Learners gain clarity on how global financial markets function, how institutions manage liquidity and risk, and how derivative products are structured and settled. What makes this course unique is its end-to-end coverage of financial markets, moving from FX spot and money markets to asset management, hedge funds, and complex derivatives—all explained through applied examples and market conventions rather than abstract theory. The course is especially valuable for finance students, early-career professionals, and risk or operations specialists seeking a structured, practical understanding of modern financial markets.
Packt
The Ultimate Linux Bootcamp for DevOps SRE & Cloud Engineers
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. This bootcamp equips you with the Linux skills needed for DevOps, SRE, and cloud engineers. Learn foundational Linux concepts, commands, system administration, and configuration techniques. The course covers Linux architecture, file permissions, networking, and cloud integration, providing a comprehensive understanding of Linux in real-world environments. You’ll progress from Linux basics to advanced topics, including user and group management, disk partitioning, and service management. The course includes hands-on practice with Linux tools, commands, and system setups across multiple environments like VirtualBox, Vagrant, and cloud platforms. Ideal for aspiring DevOps professionals, SREs, and cloud engineers, this intermediate-level course requires basic computer knowledge. By the end, you’ll be able to install Linux, manage users, configure networks, and handle disk partitions and system monitoring efficiently.
Northeastern University
Introduction to Machine Learning and Algorithmic Bias
This course explores the intersection of artificial intelligence (AI), machine learning (ML), and responsible business practice in our increasingly AI-driven economy. Participants establish foundational understanding of AI and ML concepts, their real-world applications, and factors driving their widespread adoption across industries. The course presents the machine learning process—from data collection and preparation through model development and evaluation—providing practical insights into how data transforms into actionable business insights. Significant attention is dedicated to algorithmic bias, a critical challenge that can undermine system effectiveness and create unintended disparities in AI applications. Through examination of real-world cases across sectors such as recruitment, healthcare, and financial services, participants learn to identify different types of bias—historical bias, representation bias, and measurement bias—and understand their business implications. The course concludes with practical strategies for bias detection and mitigation, along with governance frameworks for AI deployment. Participants gain the knowledge needed to build AI systems that work effectively for diverse populations while delivering reliable business value, preparing future leaders to harness AI's transformative potential while managing its risks and ensuring broad accessibility. This course is best suited for individuals seeking to advance their careers through skill-building, industry application, and network expansion. Whether aiming for a promotion, transitioning to a new career, or growing one’s professional skills, learners will gain valuable insights into how they can contribute to their organizations and articulate those ideas with peers, recruiters, and other stakeholders.