The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
GenAI for Financial Forecasting and Planning
This course introduces financial professionals to the transformative power of Generative AI (GEN AI) in forecasting and planning. You will learn how to leverage AI-driven tools to streamline processes, improve accuracy, and optimize strategic decision-making. By the end of the course, you’ll be able to automate financial predictions and validate assumptions, enabling faster and more precise financial forecasting. This course is not just about AI theory—it’s about practical tools that will immediately impact your ability to forecast and plan with greater precision and speed. This course is designed for financial analysts, planners, and data scientists with basic knowledge of finance and AI, who are looking to enhance their forecasting capabilities with GEN AI tools. Learners should have a foundational understanding of financial forecasting and basic familiarity with AI concepts and data analysis techniques. By the end of this course, learners will be able to use AI-driven insights to validate assumptions, analyze market trends, and develop strategic solutions leading to more informed and data-driven decision-making.
Starweaver
How to Build an Entrepreneurial AI Strategy
In today’s fast-paced digital era, Artificial Intelligence (AI) is no longer optional—it’s the key to driving growth, sparking innovation, and staying ahead of the competition. Whether you’re an entrepreneur, SME owner, or professional leader, this course, “How to Build an Entrepreneurial AI Strategy,” empowers you to unlock AI’s full potential and apply it in ways that matter to your business. In this course, you’ll learn practical, step-by-step strategies to harness AI for business growth—no technical background required! Discover AI opportunities, leverage cost-effective tools like ChatGPT and AI agents, and craft winning strategies with ready-to-use templates. You’ll also master scaling AI initiatives and gain inspiration from real-world case studies. By the end, you’ll have a fully developed, actionable AI strategy tailored to your business needs. This course is designed for entrepreneurs, small and medium-sized business (SME) owners, and business professionals looking to integrate AI into their operations. It’s also ideal for innovation leads and project managers focusing on emerging technologies who want to leverage AI-driven strategies to drive growth and efficiency. No prior experience with AI or analytics tools is required—just basic computer skills and a curiosity to explore AI’s potential. This course breaks down complex concepts into simple, actionable steps, making it accessible to learners from all backgrounds. By the end of this course, learners will be able to identify AI opportunities within their business, design cost-effective AI strategies, and implement affordable tools to enhance decision-making and efficiency. They will also develop the skills to scale AI solutions effectively while overcoming common challenges and constraints.
École normale supérieure
Approximation Algorithms Part I
Approximation algorithms, Part I How efficiently can you pack objects into a minimum number of boxes? How well can you cluster nodes so as to cheaply separate a network into components around a few centers? These are examples of NP-hard combinatorial optimization problems. It is most likely impossible to solve such problems efficiently, so our aim is to give an approximate solution that can be computed in polynomial time and that at the same time has provable guarantees on its cost relative to the optimum. This course assumes knowledge of a standard undergraduate Algorithms course, and particularly emphasizes algorithms that can be designed using linear programming, a favorite and amazingly successful technique in this area. By taking this course, you will be exposed to a range of problems at the foundations of theoretical computer science, and to powerful design and analysis techniques. Upon completion, you will be able to recognize, when faced with a new combinatorial optimization problem, whether it is close to one of a few known basic problems, and will be able to design linear programming relaxations and use randomized rounding to attempt to solve your own problem. The course content and in particular the homework is of a theoretical nature without any programming assignments. This is the first of a two-part course on Approximation Algorithms.
Coursera
Create a Project Tracker with Airtable
Airtable is a cloud collaboration service that combines the features of databases and spreadsheets. In this 1.5 hour guided project, you will learn the basics of relational database and get up to speed with Airtable and create a project tracker. No prior experience is required. Although experience with spreadsheets is helpful. A free account with Airtable is required. Signing up before starting the class is recommended.
University of Illinois Urbana-Champaign
e-Learning Ecologies: Innovative Approaches to Teaching and Learning for the Digital Age
For three decades and longer we have heard educators and technologists making a case for the transformative power of technology in learning. However, despite the rhetoric, in many ways and at most institutional sites, education is still relatively untouched by technology. Even when technologies are introduced, the changes sometimes seem insignificant and the results seem disappointing. If the print textbook is replaced by an e-book, do the social relations of knowledge and learning necessarily change at all or for the better? If the pen-and-paper test is mechanized, does this change the nature of our assessment systems? Technology, in other words, need not necessarily bring significant change. Technology might not even represent a step forward in education. But what might be new? How can we use technologies to innovate in education? This course explores seven affordances of e-learning ecologies, which open up genuine possibilities for what we call New Learning – transformative, 21st century learning: 1. Ubiquitous Learning 2. Active Knowledge Making 3. Multimodal Meaning 4. Recursive Feedback 5. Collaborative Intelligence 6. Metacognition 7. Differentiated Learning These affordances, if recognized and harnessed, will prepare learners for success in a world that is increasingly dominated by digital information flows and tools for communication in the workplace, public spaces, and personal life. This course offers a wide variety of examples of learning technologies and technology implementations that, to varying degrees, demonstrate these affordances in action. -------------------------------- Recommended Background -------------------------------- This course is designed for people interested in the future of education and the "learning society," including people who may wish to join education as a profession, practicing teachers interested in exploring future directions for a vocation that is currently undergoing transformation, and community and workplace leaders who regard their mission to be in part "educative." -------------------------------- Related Resources -------------------------------- Online resources are available here: https://newlearningonline.com -------------------------------- Join our Online Communities! -------------------------------- CGScholar (Create an account and join the New Learning community) https://cgscholar.com/community/community_profiles/new-learning/community_updates Facebook https://www.facebook.com/newlearningonline Twitter https://twitter.com/neolearning -------------------------------- Take this Course for Credit at the University of Illinois -------------------------------- This course has the same content and anticipates the same level of contribution by students in the Assessment for Learning course offered to graduate certificate, masters, and doctoral level students in the Learning Design and Leadership Program in the College of Education at the University of Illinois. Of course, in the nature of MOOCs many people will just want to view the videos and casually join some of the discussions. Some people say that these limited kinds of participation offer evidence that MOOCs suffer from low retention rates. Far from it – we say that any level of engagement is good engagement. On the other hand, if you would like to take this course for credit at the University of Illinois, you will find more information about our program here: https://ldlprogram.web.illinois.edu/overview/ And you can apply here: https://education.illinois.edu/epol/programs-degrees/ldl -------------------------------- The Learning Design and Leadership Series of MOOCs -------------------------------- This course is one of a series of eight MOOCs created by Bill Cope and Mary Kalantzis for the Learning Design and Leadership program at the University of Illinois. If you find this MOOC helpful, please join us in others! e-Learning Ecologies: Innovative Approaches to Teaching and Learning for the Digital Age https://www.coursera.org/learn/elearning New Learning: Principles and Patterns of Pedagogy https://www.coursera.org/learn/newlearning Assessment for Learning https://www.coursera.org/learn/assessmentforlearning Learning, Knowledge, and Human Development https://www.coursera.org/learn/learning-knowledge-human-development Ubiquitous Learning and Instructional Technologies https://www.coursera.org/learn/ubiquitouslearning Negotiating Learner Differences: Towards Productive Diversity in Learning https://www.coursera.org/learn/learnerdifferences Literacy Teaching and Learning: Aims, Approaches and Pedagogies https://www.coursera.org/learn/literacy-teaching-learning Multimodal Literacies: Communication and Learning in the Era of Digital Media https://www.coursera.org/learn/multimodal-literacies
Starweaver
Fundamentals of Effective Team Management
Welcome to our comprehensive course on team management! In today's dynamic and interconnected world, the ability to lead and manage teams effectively is a critical skill for success in various professional domains. This course has been thoughtfully designed to provide you with the knowledge, strategies, and tools necessary to excel in team management. Throughout the program, we will explore various aspects of team leadership, from building high-performing teams to fostering a culture of trust and productivity. By the end of this course, you will have a solid understanding of key team management principles and best practices, equipping you with the toolkit to enhance your leadership abilities, boost team performance, and achieve your organizational objectives. This course is ideal for team leaders, project managers, or aspiring entrepreneurs who aim to achieve optimal productivity and foster a positive work environment through effective team management. Open to all professionals aspiring to lead and manage teams effectively. No prior team management experience is required. The only prerequisite for this course is the desire to be a team leader!
Tecnológico de Monterrey
Competencias en Telesalud para el profesional de la salud
Desde la aparición del nuevo coronavirus a finales del 2019, el virus se ha extendido a todos los rincones de la tierra. Los costos han sido altísimos porque los contagios han ido aumentando y la pérdida de vidas humanas, lo que forzó una nueva “normalidad” de cómo hacer la atención en salud. El reto de cuidar la salud de los pacientes y sus familias, y nuestras comunidades aledañas, es titánico. ¿Cómo ofrecer servicios de salud de calidad durante esta crisis?, ¿cómo hacerle para no descuidar la atención a pacientes con enfermedades crónicas mientras evitamos exponerlos a riesgos innecesarios? Algunas de las soluciones más socorridas se han construido sobre la telesalud, estrategia que hemos de abordar en este curso. La telesalud se refiere a la estrategia integral de ofrecer atención a la salud, capacitación para profesionales de la salud en desarrollo, reuniones administrativas o mantenimiento de un expediente electrónico, y servicios proporcionados de educación al paciente por trabajadores sociales de forma remota. Los objetivos del curso son los siguientes: • Identificar estrategias para la comunicación efectiva con el paciente y su familia en entornos virtuales y a distancia. • Discutir los principios que rigen el trabajo interdisciplinario para la atención de la salud de forma remota. • Evaluar las tendencias de tecnología que habilitan la interacción remota con el paciente. • Analizar la interrelación de la formación de recursos humanos de salud y la prestación de atención en el contexto de la telesalud.
Coursera
How to create presentations using Canva
In this project you will learn how to make presentations using Canva. Canva is a free web design service where you have a wide variety of tools to design all kinds of media you need. Canva is a great option for those looking for an easy-to-use platform to create presentations for corporate, school, and college classes. Canva has many elements that are free and gives you a lot of freedom when it comes to designing. Canva is an extremely useful tool for those who are just starting out and even becomes a very good tool for those who have been designing in more advanced programs for years. It is a quick option that does not need to be installed on your computer and as long as you have an internet connection, it will be an accessible tool. Additionally, it offers a number of templates that facilitate the creative process and a presentation platform where you can use any medium, from images to videos.
Coursera
Como publicar sus diseños corporativos en Slack con Canva
Al final de este proyecto, tendrá todas las habilidades básicas para crear diseños profesionales y publicarlos en Slack usando Canva, una plataforma en línea para crear y editar contenido de marketing. Podrá integrar Slack con su Canva y compartir sus diseños con sus colegas.
Northeastern University
Statistical Learning for Engineering Part 2
This course covers practical algorithms and the theory for machine learning from a variety of perspectives. Topics include supervised learning (generative, discriminative learning, parametric, non-parametric learning, deep neural networks, support vector Machines), unsupervised learning (clustering, dimensionality reduction, kernel methods). The course will also discuss recent applications of machine learning, such as computer vision, data mining, natural language processing, speech recognition and robotics. Students will learn the implementation of selected machine learning algorithms via python and PyTorch.
University of the Arts London
Introduction to Creative AI
This course is an introduction to Creative AI, a growing field at the intersection of machine learning and artistic practice. During the course, you’ll learn how neural networks work, how they are trained, and how they can be applied. Exploring how artificial intelligence can be used as a transformative tool across a variety of creative practices. By the end of this course you will be able to: - Understand the core principles of artificial intelligence and how they apply within creative contexts, including visual art, design, music, and performance. - Identify the roles of neural networks and machine learning in creative AI systems, and recognise how artists are using these tools in practice. - Reflect critically on the ethical, legal, and cultural implications of working with AI, including questions of authorship, bias, and creative agency. - Experiment with basic AI tools and techniques, developing an informed and hands-on understanding of how generative systems can support co-creative processes. Through hands-on coding exercises and guided walkthroughs, you’ll train your first AI model and gain a practical understanding of how machine learning functions beneath the surface. Alongside technical skills, the course also invites you to reflect on broader issues: What does it mean to create with AI? How is AI changing authorship, labour, and the creative industries? What ethical concerns arise when training models on existing cultural data? Featuring insights from leading AI artists, researchers, and technologists, this course will give you both the technical foundation and critical perspective to begin working with AI in your own creative practice. No prior coding experience is required, just curiosity and a willingness to experiment.
Packt
Mastering Customer Success
In today’s competitive landscape, customer success is critical for driving business growth and ensuring long-term value. This course equips professionals with the essential strategies and tools needed to enhance customer relationships, reduce churn, and foster sustainable revenue expansion. Throughout the course, learners will gain practical insights into the core aspects of customer success. It covers proven methods for developing strategies that increase customer retention, utilizing measurement tools to ensure service excellence, and engaging customers through behavioral analysis to improve engagement models. What sets this course apart is its combination of expert knowledge and real-world applications. You will not only learn strategic frameworks but also see how these frameworks are implemented successfully in various industries, providing you with actionable insights that can be applied immediately. This course is ideal for customer success professionals looking to refine their strategies and expand their impact. A basic understanding of business operations and customer success principles is recommended, so it is accessible to beginners, but the course also accommodates intermediate and advanced learners seeking to enhance their skills.
Coursera
Supercharge with Salesforce Einstein (GPT)
Salesforce is a cloud-based customer relationship management (CRM) platform that helps businesses manage their sales, marketing, customer service, and other operations in one place. It enables companies to track interactions with customers, streamline workflows, and improve overall efficiency. This course is designed to provide learners with a comprehensive understanding on Salesforce Einstein and its functionality. Through showcasing the functionality of Salesforce Einstein, learners will be able to kickstart their Salesforce Einstein journey and implement Einstein within their organization. This course is designed for CRM Managers, Business Analysts, IT Professionals, Salesforce Administrators, and Salesforce Developers who are responsible for managing and enhancing customer relationship management (CRM) platforms. These professionals typically play a pivotal role in their organizations by analyzing data, implementing CRM solutions, and improving business processes. Participants should have a basic understanding of the Salesforce platform, including its core functions and integrations. Familiarity with foundational AI concepts is recommended, as the course blends CRM functions with AI-driven insights. This knowledge will prepare learners to implement and manage AI solutions effectively within their roles. By the end of this course, participants will be able to explain the AI concepts underlying Salesforce Einstein, equipping them with a foundational understanding of how AI enhances CRM platforms. They will also gain practical knowledge on implementing Einstein Studio's core features to streamline and automate CRM tasks. Lastly, learners will critically evaluate the ethical implications of Salesforce's AI principles, preparing them to make responsible, informed decisions in AI development and deployment within their organizations.
IBM
Deep Learning and Reinforcement Learning
This course introduces you to two of the most sought-after disciplines in Machine Learning: Deep Learning and Reinforcement Learning. Deep Learning is a subset of Machine Learning that has applications in both Supervised and Unsupervised Learning, and is frequently used to power most of the AI applications that we use on a daily basis. First you will learn about the theory behind Neural Networks, which are the basis of Deep Learning, as well as several modern architectures of Deep Learning. Once you have developed a few Deep Learning models, the course will focus on Reinforcement Learning, a type of Machine Learning that has caught up more attention recently. Although currently Reinforcement Learning has only a few practical applications, it is a promising area of research in AI that might become relevant in the near future. After this course, if you have followed the courses of the IBM Specialization in order, you will have considerable practice and a solid understanding in the main types of Machine Learning which are: Supervised Learning, Unsupervised Learning, Deep Learning, and Reinforcement Learning. By the end of this course you should be able to: Explain the kinds of problems suitable for Unsupervised Learning approaches Explain the curse of dimensionality, and how it makes clustering difficult with many features Describe and use common clustering and dimensionality-reduction algorithms Try clustering points where appropriate, compare the performance of per-cluster models Understand metrics relevant for characterizing clusters Who should take this course? This course targets aspiring data scientists interested in acquiring hands-on experience with Deep Learning and Reinforcement Learning. What skills should you have? To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Calculus, Linear Algebra, Probability, and Statistics.
Board Infinity
Key Industry 4.0 Technologies in Manufacturing - 1
Course Description: This course provides a comprehensive introduction to the key technologies driving Industry 4.0 in the manufacturing sector. It covers digital manufacturing, the Internet of Things (IoT), digital twins, additive manufacturing, and robotics. Learners will gain a deep understanding of how these technologies interact to create smart factories, improve production processes, and drive innovation. Through theoretical learning and practical case studies, learners will acquire essential skills for implementing and leveraging Industry 4.0 technologies in manufacturing. Benefits: 1. Holistic Knowledge of Industry 4.0 Technologies: Gain a comprehensive understanding of key Industry 4.0 technologies, including digital manufacturing, IoT, digital twins, additive manufacturing, and robotics, and how they transform manufacturing processes. 2. Hands-on Implementation Skills: Develop practical skills for effectively implementing and integrating advanced manufacturing technologies through detailed modules and real-world case studies. 3. Enhanced Innovation and Efficiency: Equip yourself with the knowledge to drive innovation, improve production efficiency, and maintain a competitive edge in the manufacturing industry by staying updated on the latest trends and best practices. Target Audience: This course is designed for manufacturing engineers, production managers, industrial engineers, and anyone interested in understanding and implementing Industry 4.0 technologies. It is suitable for beginners as well as professionals seeking to enhance their knowledge and practical skills in modern manufacturing technologies. Note: This is the 2nd course of the specialization- "Advances in Manufacturing Technology" 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.
Google
Consigue la venta: crea, lanza y administra tiendas de comercio electrónico
Este es el sexto de los siete cursos del Certificado de Carrera de Google en Marketing Digital y Comercio Electrónico, y te brindará habilidades para entender cómo las empresas y las personas venden productos a través de Internet, incluso con plataformas populares como Shopify. Conocerás cómo es el proceso para armar una tienda simulada de comercio electrónico. Aprenderás a crear una tienda en Shopify, a agregar la información necesaria, a crear listas de productos, y a llegar a clientes en línea a través de campañas publicitarias. Te guiarán especialistas de Google, que actualmente trabajan en estos sectores, con actividades prácticas y ejemplos que simulan tareas comunes y frecuentes de marketing digital y comercio electrónico. Todo esto te ayudará a desarrollar tus habilidades y prepararte para trabajar. Las y los estudiantes que completen los siete cursos de este programa estarán en condiciones de solicitar trabajos como coordinadores/as de marketing digital o especialistas en comercio electrónico de nivel inicial. No necesitas contar con experiencia previa en el área. Al final de este curso, podrás: - Comprender las estrategias y prácticas esenciales de comercio electrónico - Explicar cómo llevar a cabo una investigación de mercado y de producto - Crear una tienda de comercio electrónico simulada utilizando Shopify - Usar Google Ads para interactuar con clientes de comercio electrónico - Explicar cómo las tendencias y la estacionalidad afectan a las empresas de comercio electrónico - Utilizar las mejores prácticas para crear una experiencia atractiva en línea - Describir el proceso de atención de pedidos a través de sus diferentes componentes: el pago, el punto de venta (POS), el envío y la entrega - Optimizar el flujo de pago para las y los clientes