The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
IBM
Introduction to Deep Learning & Neural Networks with Keras
This course introduces deep learning and neural networks with the Keras library. In this course, you’ll be equipped with foundational knowledge and practical skills to build and evaluate deep learning models. You’ll begin this course by gaining foundational knowledge of neural networks, including forward and backpropagation, gradient descent, and activation functions. You will explore the challenges of deep network training, such as the vanishing gradient problem, and learn how to overcome them using techniques like careful activation function selection. The hands-on labs in this course allow you to build regression and classification models, dive into advanced architectures, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers, and autoencoders, and utilize pretrained models for enhanced performance. The course culminates in a final project where you’ll apply what you’ve learned to create a model that classifies images and generates captions. By the end of the course, you’ll be able to design, implement, and evaluate a variety of deep learning models and be prepared to take your next steps in the field of machine learning.
Universidad Nacional Autónoma de México
Cómputo evolutivo
La computación evolutiva (evolutionary computation, EC), aplica la teoría de la evolución natural y la genética en la adaptación evolutiva de estructuras computacionales, proporcionando un medio alternativo para atacar problemas complejos en diversas áreas, como la ingeniería, economía, química, medicina y, porque no, las artes. Una población de posibles soluciones de un problema dado es análoga a una población de organismos vivos que evolucionan cada generación, al recombinar los mejores individuos de la población y transmitir sus características de dichos individuos padres, a sus descendientes. En este campo, diferentes esquemas de métodos evolutivos se han desarrollado, los cuales difieren en el tipo de estructuras que conforman la población. Algoritmos evolutivos (AE), como también se le conoce al cómputo evolutivo (EC), se definen como métodos de optimización y búsqueda, los cuales están inspirados y tratan de imitar de manera parcial los procesos de la evolución natural, y mantienen una población de estructuras que evolucionan de acuerdo a reglas de selección y otros operadores genéticos, como cruzamiento y mutación (Bäck, 1996). Los algoritmos evolutivos no son los únicos métodos de optimización propuestos a partir de sistemas biológicos. Se tiene una variedad de algoritmos de optimización, que tratan de imitar el comportamiento de sistemas naturales, como las colonias de hormigas, algoritmos culturales y optimización por cúmulos de partículas, entre otros. De aquí surge lo que se conoce como algoritmos bioinspirados, ya que toman sus bases a partir de la estructura de procesos y sistemas biológicos: la evolución, la selección natural, comportamiento social de animales, como las hormigas, abejas, peces. BÄCK, T. (1996) Evolutionary Algorithms in Theory and Practice. Oxford University Press. DARWIN, C. (1859) On the Origin of Species by Means of Natural Selection, or the Preservation of Favoured Races in the Struggle for Life, John Murray.
Coursera
Introduction to DeepSeek
Did you know that a single AI model release wiped out over $1 trillion in global market value in just one day? As per Reuters, the launch of DeepSeek's R1 model in January 2025 triggered the largest tech selloff in history, with Nvidia alone losing $600 billion. This Chinese startup achieved something that shocked Silicon Valley: they built an AI model rivaling OpenAI's best at a small fraction of the cost and in a fraction of the time. Welcome to the world of DeepSeek, where open-source innovation meets high performance. This beginner-friendly course will take you from a curious observer to a confident user. We’ll walk through the basics, explain how the Mixture-of-Experts architecture works, and show you how to use DeepSeek tools in your projects. You'll discover exactly how DeepSeek's reasoning models outperform industry-leading AI systems on mathematical tasks while costing 95% less to run. We'll walk you through three different ways to access these models: the free web interface, API integration, and running them locally on your hardware. This course is designed for a diverse group of learners, including developers and AI enthusiasts who are curious about open-source alternatives to proprietary models. It’s equally valuable for data scientists exploring cost-effective reasoning models for R&D, as well as business professionals seeking to leverage AI for automation and content generation. Students and researchers with a passion for cutting-edge AI architectures will also benefit from the hands-on insights provided throughout the course. While this course is beginner-friendly, a basic understanding of artificial intelligence and machine learning concepts will help learners grasp core ideas more quickly. Familiarity with APIs and web-based tools is recommended, as the course covers accessing DeepSeek models through different interfaces. Some exposure to command-line tools is helpful—especially for those opting for local deployment—but is not strictly required. By the end of this course, learners will be able to critically analyze the architecture and capabilities of DeepSeek models like V3 and R1 and how they stack up against proprietary offerings. They’ll gain the skills to implement DeepSeek in practical scenarios using web tools, APIs, and local environments. Learners will also explore real-world use cases—from content generation to automation—and apply strategies for cost-effective integration while accounting for limitations and best practices in deployment.
Alfaisal University | KLD
الذكاء العاطفي | Emotional Intelligence
كثيراً ما نقابل في حياتنا أشخاصاً على قدر عالٍ من الذكاء العقلي، ورغم أنهم كانوا ناجحين ومتفوقين جداً في حياتهم الدراسية، لكنهم فشلوا تماماً في حياتهم العملية والأسرية، وهذا ما أثار فضول الباحثين، حيث بعد سنوات طويلة من البحث اكتشف الباحثون أن القدرات السلوكية لهؤلاء الأشخاص ضعيفة جداً، مما أثر على تعاملاتهم وقدرتهم على التأقلم مع الآخرين، وهذا ما يقيسه نوع آخر من الذكاء يُسمى بالذكاء العاطفي (Emotional Intelligence). هذه الدورة هي دورة تمهيدية؛ فهي تلقي الضوء على أساسيات الموضوع بشكل عام بهدف التعريف به وبمحاوره الأساسية التي يجب الإلمام بها. إذا كنت من المهتمين بفهم الذكاء العاطفي، أو كان مجال عملك يتطلب توظيف ذلك في سياق عملك، فهذه الدورة ستكون مثالية لإغناء خبرتك وتطوير مهاراتك بشكل فعال ومؤثر. حيث ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: استعراض أمثلة عن مجالات تطبيق الذكاء العاطفي في الحياة الشخصية والعملية، استيعاب خطوات تعزيز مستوى الذكاء العاطفي وطرق تنميته، فهم مكونات الذكاء العاطفي والمهارات التي يتحلى بها أصحابه، الذكاء العاطفي وأهميته ومبادؤه الأساسية.
University of London
Applied Mathematical Methods for Computing
Mathematics underpins every aspect of computing, from algorithms and artificial intelligence to data analysis and cryptography. Applied Mathematical Methods for Computing equips you with essential tools in algebra, vectors, matrices, sequences, series, combinatorics, probability, and statistics. These methods provide the structure and reasoning needed to solve complex computational problems. Across four modules, you’ll explore advanced techniques, practise solving real-world examples, and build the confidence to apply mathematics in programming, algorithms, and data science. By the end, you’ll have a comprehensive toolkit for modelling systems, analysing uncertainty, and reasoning rigorously about computational tasks. Whether you’re preparing for advanced studies in computer science or strengthening your foundations for professional roles, this course offers the mathematical depth you need to succeed.
University of Colorado Boulder
Principles of Public Relations
In this course, learners are exposed to an overview of public relations principles and theories relevant to practice. You will explore the field, including the origin and trends affecting the future of the industry as well as how to land a job in public relations. This course provides a broad overview of working in public relations and how different tenets of persuasion are used in practice. The course also addresses ethical implications of public relations.
Packt
Linux Bash Shell Scripting with Real-Life Examples
Updated in May 2025. This course now 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. Embark on a journey to master Linux Bash Shell Scripting, starting with an insightful introduction to the course and a detailed overview of the syllabus. You'll set up your lab environment using Oracle Virtual Box and create your first virtual machine to run CentOS 7, providing a solid foundation for your scripting practice. Next, delve into the core concepts of shell scripting, from understanding the kernel and different types of shells to running your first script. This section is designed to build your confidence as you learn scripting standards, including naming conventions, file permissions, and script formatting. By the end of this phase, you'll be equipped with the skills to write and execute basic shell scripts. The course culminates with real-life scripting projects that simulate common administrative tasks. You'll learn to automate processes such as file backups, remote server connectivity checks, and user account management. These practical examples will not only solidify your scripting knowledge but also enhance your ability to handle real-world scenarios efficiently. Additional resources offer advanced tips and troubleshooting techniques to ensure your success in a Linux environment. This course is ideal for aspiring system administrators, developers, and IT professionals who want to enhance their Linux skills through Bash shell scripting. A basic understanding of Linux and command-line operations is recommended but not required.
Coursera
3D Models with Adobe Photoshop: Design a Pickleball Paddle
**Enroll in this Guided Project before April 2026, for a free 1-month trial to the Creative Cloud Plan!** This Guided Project, 3D Models with Adobe Photoshop: Design Pickleball Paddle, is for advanced Photoshop users. This guided project is intended on helping advanced Photoshop users accomplish configuring a 3D model, establish a color palette to apply to the model, create custom textures to apply to the model, and use graphic design principles to design a typographic element for the 3D model. In this hour-long project-based course, you will learn how to build a 3D model of a pickleball paddle, apply graphic styles like color, create and apply custom textures, and design typography in an engaging way to attract potential clients and investors. To achieve this, we will work through how to construct a 3D pickleball paddle using the Adobe Photoshop 3D menu, including building the paddle face and handle grip. As well as how to establish a traidic color palette for the project, how to create custom textures and apply them to 3D models, and learn how to make typographic design choices to create engaging graphics for the face of our paddle, all to create a final presentation to export. This project is unique because it combines advanced Photoshop skills with specific application to designing a functional and visually appealing 3D model of a pickleball paddle, integrating various graphic styles and techniques directly applicable to product design and export processes. In order to be successful in this project, you will need to have advanced experience in Adobe Photoshop, including familiarity with the workspace layout, layers panel, adjustments panel, and experience with advanced tools such as the perspective grid. As well as, knowledge of 3D modeling concepts and graphic design principles such as color theory, typography, and typographic hierarchy.
University of California, Davis
Google SEO Capstone Project
This capstone project is your opportunity to pull everything together into a polished portfolio piece. Throughout the course, you’ll walk through what a real SEO engagement looks like—from kicking off a project and identifying opportunities to making a case for updates, resourcing the work, and managing stakeholder expectations. It’s designed to mirror what it’s actually like stepping into an SEO role, whether that’s in-house, at an agency, or working with your own clients. Your projects will showcase the full range of your SEO skills: from technical know-how and strategic thinking to analysis, communication, and execution. It’s a chance to demonstrate not just what you’ve learned, but how you apply it. SEO continues to grow as a career field, and standing out means knowing how to deliver results across multiple areas of website optimization. Whether you’ve completed the full SEO Specialization or you’re just diving into this course, this project is built to help you take what you’ve learned and turn it into real, practical experience. You’ll choose a site to work on, identify optimization opportunities, and build a custom SEO strategy from the ground up. That includes keyword research, competitive analysis, on-page and metadata improvements, and a plan for presenting your recommendations clearly. You'll also practice how to pitch your ideas and manage client relationships—skills just as important as the technical work itself. By the end, you’ll walk away with a concrete example of your skills—ready to use in interviews, client work, or your next career move.
Universidade de São Paulo
Laboratório de Programação Orientada a Objetos - Parte 1
Estamos muito felizes de lançar agora este curso que apresenta os conceitos mais importantes em torno do paradigma de desenvolvimento mais comum da indústria de software hoje: a Programação Orientação a Objetos (POO). Oferecido pelo Departamento de Ciência da Computação do Instituto de Matemática e Estatística da USP, o curso é voltado para quem já conhece os conceitos básicos de POO e quer se aprofundar no assunto, tornando-se um excelente programador. Ele funciona bem como uma sequência natural aos 2 cursos anteriores do Prof. Fabio Kon do IME-USP no coursera: Introdução à Ciência da Computação com Python. Se você ainda não sabe programar, deve começar por este outro curso: https://www.coursera.org/learn/ciencia-computacao-python-conceitos Mas, se você já sabe programar em outra linguagem confortavelmente, pode vir direto para este curso sem grandes dificuldades. A maior parte dos exemplos de código serão em Java e Python e apresentamos uma pequena visão geral dessas linguagens no início do curso. O curso é dividido em duas partes de aproximadamente 6 semanas cada. Nesta Parte 1, os tópicos cobertos são: (1) Recapitulação dos conceitos básicos de POO (2) UML (Linguagem Unificada de Modelagem OO) (3) Linguagens interpretadas vs. compiladas (4) Orientação a Objetos em Java e em Python (5) Qualidade de Código e Boas Práticas de Programação OO (6) Bugs, depuração e testes (7) Linguagens dinâmicas vs. estáticas (8) Classes abstratas e interfaces (9) Coleções de Objetos (10) Polimorfismo (11) Tratamento de Exceções (12) Streams (Fluxos de dados) (13) Padrões de Projeto (Design Patterns) - Estratégia, Adaptador, Singleton, Método Fábrica, Fábrica Abstrata, Protótipo, Estado (14) Model-View-Controller (MVC) Matricule-se! Estamos esperando por você! Se tiver alguma dúvida, escreva no fórum! Fabio Kon e equipe do IME-USP
Banco Interamericano de Desarrollo
Creative Enterprises
Are you thinking about launching a venture in the creative sector? Are you taking your first steps on the entrepreneurial path? Then this course is for you. A creative venture requires essential entrepreneurial skills: having the knowledge and abilities needed to face the challenges of creating and sustaining a business is crucial. That’s why, in this 3-module course, you will explore specific methodologies for developing entrepreneurial skills, understand key concepts for managing the finances of a venture, identify platforms and sources of funding for creative businesses, among other topics. Discover the landscape of creative ventures in Latin America and the Caribbean, as well as the challenges entrepreneurs have faced, how they’ve overcome them, and how they’ve seized the opportunities that came their way.
University of North Texas
Pathways to Civic Engagement
This course will examine the various ways that individuals engage in a democratic society during the 21st century. Students reflect on their involvement, and sense of responsibility to something beyond individual pursuits, and how they can make a difference within the various contexts of neighborhoods, communities, nationally and globally. Exploration of relevant social problems, critical examination and reflection on what it means to be a citizen within these various contexts as well as an examination of personal values and assumptions, assist students in gaining a deeper understanding of themselves relative to the larger social context. This course also provides opportunities for the development of civic skills and values to enhance the student’s capacity to positively impact their community.
Shanghai Jiao Tong University
Mandarin Chinese for Intermediate Learners: Part 1
"Mandarin Chinese 1: Chinese for Intermediate Learners" is the first course of the MOOC specialization "Learn Intermediate Mandarin Chinese" created by Shanghai Jiao Tong University.
Google Cloud
Preparação para sua jornada até a certificação Professional Cloud Security Engineer
Este curso é uma preparação para o exame da certificação Professional Cloud Security Engineer (PCSE). Os estudantes terão contato com os tópicos do exame e vão praticá-los em uma série de aulas, perguntas de diagnóstico e testes de conhecimento. Após a conclusão do curso, os alunos terão um material de apoio personalizado para ajudar no restante da jornada de preparação para a certificação.
Skillshare
Street Photography: Foundations & Creative Mindsets
This course, taught by Troy Baird, is your launchpad into the world of street photography. Whether you’re brand new to the genre or looking to reinvigorate your creative process, we’ll break down what makes street photography so powerful—and how to find your own unique artistic voice within it. Through stories, philosophies, and real-world examples, we’ll explore not just how to shoot, but why we shoot. You’ll learn how to define street photography for yourself, tap into your emotional instincts, and build the kind of mindset that allows for consistent, authentic image-making. We’ll also dive into storytelling, intention, and seeing the world with more awareness. By the end of this course, you’ll be able to: * Define your own creative purpose and visual style * Evaluate great street photos and understand why they work * Build daily practices that nurture inspiration and creativity Who’s this for? Anyone curious about street photography, self-expression, or personal creativity. No experience necessary—just a camera (or smartphone) and an open mind. Instructor bio: Troy Baird is an Australian film director and documentary filmmaker with over a decade of global experience. Alongside his documentary work, Troy has pursued his passion for street photography, traveling extensively to dynamic locations including Cuba, India, Nepal, Japan, Morocco, New York, and across Europe and Southeast Asia. His creative journey has taught him to adapt, pivot, and continually refine his approach, culminating in a 9-hour Skillshare Staff Pick class that distills insights from over 200 books, countless films, podcasts, online resources, and ten years of hands-on street photography experience. Troy’s mission is to help creatives discover their own artistic voice and express themselves through street photography.
EDUCBA
Develop a Swipe-Match iOS App Using Swift
By completing this course, learners will be able to design swipe-based user interfaces, implement gesture-driven interactions, organize application logic using clean architecture principles, optimize animations for performance, and deliver a polished Tinder-style iOS prototype using Swift and UIKit. This course provides a hands-on, project-based approach to iOS development by guiding learners through building a Tinder clone from scratch using iOS 12 and Swift. Learners will progress step by step from setting up the project and designing swipeable cards to managing user actions, structuring data models, and refining animations for a smooth user experience. Each module builds practical skills that mirror real-world iOS app development workflows. What makes this course unique is its focus on interaction-driven UI development rather than isolated concepts. Instead of learning features in abstraction, learners apply them immediately within a complete, functional app. The course emphasizes clean code practices, gesture handling, animation polish, and maintainable architecture—skills highly valued in professional iOS development. Upon completion, learners gain not only a strong portfolio project but also confidence in building modern, interactive iOS applications from idea to prototype.