The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Google
2. 安心を担う： セキュリティリスクの管理
Google サイバーセキュリティ プロフェッショナル認定証の 2 つめのコースです。各コースでは初級サイバーセキュリティの職に必要なスキルを身につけることができます。 このコースでは、最初のコースでご紹介した概念をさらに深く掘り下げます。主に、サイバーセキュリティ職としてビジネスを保護するためのフレームワークとコントロールの活用方法を学びます。具体的には、リスク マネジメントのステップを確認し、一般的な脅威やリスク、脆弱性について探ります。さらに、SIEM（セキュリティ情報とイベント管理）のデータを調べ、特定された脅威やリスク、脆弱性に対応するためにプレイブックを使用することも学びます。最後にセキュリティ監査も実践することで、サイバーセキュリティの職に就く重要な一歩が踏み出せるでしょう。 サイバーセキュリティの分野で働いている現職の Google 社員が最適なツールやリソースを使って一般的なサイバーセキュリティの業務を遂行する実践的な方法を指導します。また就職活動への準備も手助けします。 この認定プログラムを修了すると、エントリーレベルのサイバーセキュリティの職に応募できるようになります。過去の業務経験は不要です。
Packt
Advanced Rust – Lifetimes, Iterators, Testing & Randomness
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. Unlock the full potential of Rust programming with advanced topics that are crucial for mastering this language. Through practical lessons on lifetimes, iterators, testing, and randomness, you will gain the deep understanding needed to write more efficient, reliable, and maintainable code. This course explores complex concepts such as non-lexical lifetimes, iterator traits, and the rand crate, while helping you strengthen your problem-solving skills. The course starts with an in-depth exploration of lifetimes, walking you through concrete examples, invalid lifetimes, and generic lifetimes. You'll then dive into the world of iterators, learning how to handle collections, map, filter, fold, and perform other operations. The next section covers Rust’s testing framework, where you will learn everything from writing unit tests to using advanced testing techniques like test-driven development (TDD) and integration tests. Finally, you'll explore randomness, mastering the rand crate and how to apply it to your applications. This course is aimed at intermediate to advanced Rust programmers who wish to refine their skills and apply best practices in real-world projects. It assumes familiarity with basic Rust concepts such as ownership, borrowing, and basic syntax. The difficulty level is advanced, as it explores the nuances of Rust for developers who want to deepen their expertise. By the end of the course, you will be able to implement complex features using lifetimes, iterators, and closures, write effective unit and integration tests, and leverage randomness and time manipulation in Rust applications.
Board Infinity
Mastering DeepSeek: From Architecture to Application
Dive deep into DeepSeek’s architecture, core capabilities, and real-world applications with this advanced deepseek course designed for developers and AI professionals. You’ll explore the foundational DeepSeek AI models, groundbreaking innovations like Efficient Mixture of Experts (MoE) and Multi-Head Latent Attention (MLA), and gain hands-on experience with practical integration via API and local deployment. The course begins by helping you master DeepSeek’s origins, key models, and unique differentiators in the open-source AI landscape. You’ll learn to access DeepSeek through web, API, and local methods, and integrate it seamlessly with automation tools for advanced application and deployment. Next, you’ll get an inside look at deepseek architecture, including reasoning-centric training, MoE, MLA, and reinforcement learning from human feedback. These modules equip you with the knowledge to understand and leverage DeepSeek’s model architecture for efficiency and performance. You’ll then move on to hands-on DeepSeek AI model implementation—deploying via API, managing keys, integrating with automation platforms, and self-hosting using LMStudio. You’ll also build retrieval-augmented generation (RAG) systems and learn best practices for local deployment. The course also covers deepseek applications across industries: content generation, advanced reasoning, classification, and leveraging embeddings. You’ll see how to integrate DeepSeek into workflow automation, AI agent development, and both web and mobile apps. Finally, you’ll master fine-tuning DeepSeek for your app or domain, enhancing software development workflows with intelligent code generation, automated documentation, and custom model optimization. By the end of this course, you’ll be ready to: - Explain and leverage deepseek model architecture and innovations - Effectively access, deploy, and integrate DeepSeek AI models through APIs and local hosting - Build AI-powered applications using DeepSeek for RAG, automation, and intelligent agents - Fine-tune DeepSeek for your app and optimize workflows for specialized business needs This course is ideal for AI developers, data scientists, software engineers, product managers, and technical leads looking to master DeepSeek AI model implementation and drive innovation with custom, scalable solutions. 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.
Universitat Politècnica de València
Bases matemáticas: Álgebra
Este curso te guiará a través de los fundamentos de las ecuaciones lineales, comenzando con un repaso a las ecuaciones de una sola incógnita. A continuación, profundizaremos en el mundo de las matrices y los sistemas de ecuaciones lineales, cubriendo: Sistemas de ecuaciones lineales: Definición, clasificación y resolución paso a paso con el método de Gauss. Fundamentos de matrices: Conceptos clave y operaciones esenciales. Matrices inversas: Aprende a calcularlas usando los métodos de Gauss y de los adjuntos. Ecuaciones matriciales: Una introducción práctica a este tipo de ecuaciones. Determinantes y rango: Domina el cálculo de determinantes y el concepto de rango de una matriz. Regla de Cramer: Descubre su aplicación para resolver sistemas de ecuaciones lineales.
Coursera
Analyze Financials: Spot Audit Triggers
In this intermediate course, you’ll learn how auditors and financial analysts detect red flags hidden in financial statements. Using realistic retail data, you’ll practice recognizing the four primary types of audit evidence and judging their reliability. You’ll then apply vertical analysis to spot unusual income statement trends that may signal audit triggers. Through short videos, guided discussions, and hands-on exercises, you’ll build the analytical judgment needed to connect data patterns to audit assertions and document your reasoning clearly—skills essential for assurance, financial analysis, and risk review roles.
Google Cloud
Integrar aplicativos com o Gemini 1.0 Pro no Google Cloud
Neste breve curso sobre a integração de aplicativos com os modelos Gemini 1.0 Pro no Google Cloud você vai conhecer a API Gemini e os modelos de IA generativa dela. Você vai aprender a acessar os modelos Gemini 1.0 Pro e Gemini 1.0 Pro Vision usando código e testar os recursos dos modelos usando comandos de texto, imagem e vídeo em um app.
Universidades Anáhuac
Python de la A a la Z
En este curso, exploraremos todos los conceptos fundamentales y avanzados del lenguaje de programación Python, desde los conceptos básicos hasta las técnicas más avanzadas.
Coursera
Build social awareness content for Instagram with Canva
At the end of this project, you will have all the basic skills to create Instagram content to educate and inform your audience using the Canva platform, an online tool for creating and editing Marketing visuals. You will be able to create customizable graphic content using the various design tools, colors and graphics offered by Canva. This project is for beginners, people who have no knowledge of graphic design and would like to contribute to a better world. It is ideal for creating professional graphic content for Instagram using different templates offered by Canva.
Google Cloud
Machine Learning Operations (MLOps): Getting Started - Français
Ce cours présente les outils et les bonnes pratiques MLOps pour déployer, évaluer, surveiller et exploiter des systèmes de ML en production sur Google Cloud. Le MLOps est une discipline axée sur le déploiement, le test, la surveillance et l'automatisation des systèmes de ML en production. Les ingénieurs en machine learning utilisent des outils pour améliorer et évaluer en permanence les modèles déployés. Ils collaborent avec des data scientists (ou peuvent occuper ce poste) qui développent des modèles permettant de déployer de manière rapide et rigoureuse les solutions de machine learning les plus performantes.
Google Cloud
Securing Container Builds
This is a self-paced lab that takes place in the Google Cloud console. Artifact Registry enables you to store different artifact types, create multiple repositories in a single project, and associate a specific region or multi-region with each repository.
IBM
BI Dashboards with IBM Cognos Analytics and Google Looker
Business Intelligence (BI) Analyst is one of the top 3 fastest growing roles, according to Statista in its ‘Which Jobs Have a Future’ update. IBM Cognos Analytics and Google Looker Studio are powerful BI tools used for data visualization, analytics, and reporting. This short course helps you to build IBM Cognos Analytics and Google Looker Studio skills that can open up opportunities in business analytics, data science, and BI across industries. The course introduces you to the features and capabilities of IBM Cognos Analytics and Google Looker Studio. You’ll learn the basics of visualizing data without writing code, plus how use both to create interactive dashboards. You’ll also gain practical experience through hands-on labs, and you’ll complete a final project in which you’ll create data visualizations and an interactive dashboard that you can share with prospective employers to highlight your skills. If you’re looking to get started as a data analyst, BI analyst or data warehouse specialist, this course provides the ideal introduction to two high profile tools used in these roles. Enroll in this self-paced course today, and develop valuable BI Dashboard skills you can talk about in interviews.
University of California, Irvine
Cómo resolver problemas y tomar decisiones con eficacia
El pensamiento crítico (la aplicación de métodos científicos y del razonamiento lógico) constituye la base para resolver problemas y tomar decisiones con eficacia. El pensamiento crítico nos permite evitar escollos frecuentes, verificar la validez de nuestras creencias y suposiciones y corregir las distorsiones que pueden haberse producido en nuestros procesos mentales. Con este curso adquirirás la confianza para evaluar acertadamente los problemas, sopesar soluciones alternativas y prever probables riesgos. Aprenderás a usar el análisis, la síntesis y las preguntas positivas para abordar problemas tanto individuales como organizacionales y cultivarás el pensamiento crítico que se necesita en estos tiempos turbulentos. Mediante estudios de caso y de situaciones en que se han visto otros alumnos, se exploran modelos exitosos y métodos de probada eficacia que son fácilmente reproducibles en el trabajo.
EDUCBA
Unity Breakout Game: Design, Implement, and Optimize
By the end of this course, learners will be able to design interactive 2D game mechanics, implement modular classes, integrate visuals and audio, and optimize scoring systems to build a complete Breakout-style game in Unity. This hands-on course guides learners through the full development cycle—from setting up the Unity environment and creating core assets like paddles, balls, and bricks, to scripting advanced gameplay mechanics and managing game logic with classes such as the Game Manager, Ball, and Destructible Item. Learners will also apply Unity’s 2D tools, use transforms effectively, and build structured brick tables to bring the game to life. Unlike generic Unity tutorials, this course emphasizes practical coding, modular architecture, and polished gameplay design, ensuring learners not only replicate a Breakout clone but also gain skills to extend, customize, and optimize it. Completing the course equips learners with transferable Unity development skills for future 2D and arcade-style projects, making it an ideal foundation for aspiring indie developers and game designers.
Coursera
Visualize and Chart Marketing Data Fast
Transform raw marketing data into powerful visual insights that drive decision-making. This Short Course was created to help digital marketing professionals accomplish rapid data visualization and chart creation for campaign analysis and performance reporting. By completing this course, you'll be able to identify industry-standard Business Intelligence tools and immediately start creating meaningful charts from your marketing data sources, enabling you to communicate findings effectively and make data-driven marketing decisions the very next day. By the end of this course, you will be able to: Recognize common Business Intelligence (BI) tools used for data analysis Apply data visualization tool functions to connect a data source and create a basic chart This course is unique because it focuses on speed and practical application – you'll move from concept to creation in just 90 minutes, building foundational skills that scale across multiple BI platforms. To be successful in this project, you should have a background in basic spreadsheet applications and digital marketing concepts.
Skillshare
Film Documentaries: Write, Film & Edit A Short Documentary
My name is Olaf De Fleur, and I am a do-it-yourself filmmaker with over two decades of experience. Through my film career, I've directed actors like Academy Nominee Florence Pugh (Black Widow, Little Women), James Cosmo (Braveheart), Johnathan Price (Brazil), Michael Imperioli (Sopranos), and JJ Field (Captain America), just to name a few. In this class, I'll share all the tools that I've learned by completing seven feature documentary films. In this step-by-step guide to Documentary Indie Filmmaking, you'll teach yourself how to complete a short documentary film independently through manageable action steps. This course is for anyone who is just starting or has done a couple of documentary projects; in either case, this class will deepen your understanding of documentary filmmaking. I'll share the fundamentals of what I've learned - for you to discover your unique style. All you need for this class is a camera, something to write on, and a computer to edit your film. Here are some of the things you'll learn in this class: * Experience hands-on a complete documentary film process * The fundamentals of documentary filmmaking * Develop your style as a visual storyteller * Receive documentary production tips that can save you from unnecessary agony * Complete a documentary film on a micro-budget We'll start with your documentary Idea, talk about my favorite development tools, Theme, Genre, and the Fairy Tale tool. We'll discuss Production, Cinematography, and Directing before hitting the post-production phase. I'll be inviting you to do tasks and challenges along the way. This course will not only demystify the documentary process, but it'll also illuminate your creative strengths and help you identify areas of improvement and opportunities. Let's get started! Instructor bio: Olaf de Fleur is an award-winning filmmaker from Iceland with over 20 years of experience and twelve feature films to his name. He has worked with acclaimed actors such as Florence Pugh (Little Women), Jonathan Pryce (Brazil), and Giancarlo Esposito (Breaking Bad). Passionate about teaching the fundamentals of visual storytelling, Olaf helps learners build confidence and develop their creative voice. Alongside directing and writing, he teaches at film schools, speaks publicly, and offers creative coaching — always aiming to make filmmaking approachable, inspiring, and practical.
Coursera
SQL Mathematical Functions
Welcome to this project-based course, SQL Mathematical Functions. In this project, you will learn how to use SQL Mathematical Functions to manipulate tables in a database. By the end of this 2-hour-long project, you will be able to use different Mathematical Functions to retrieve the desired result from a database. In this project, you will learn how to use SQL Mathematical Functions like CEIL(), FLOOR(), RANDOM(), SETSEED(), ROUND(), TRUNC(), SQRT(), CBRT(), and POWER() to manipulate data in the employees database. In this project, we will move systematically by first introducing the functions using a simple example. Then, we will write slightly complex queries using the Mathematical Functions in real-life applications. Also, for this hands-on project, we will use PostgreSQL as our preferred database management system (DBMS). Therefore, to complete this project, it is required that you have prior experience with using PostgreSQL. Similarly, this project is an intermediate SQL concept; so, a good foundation for writing SQL queries is vital to complete this project. If you are not familiar with writing queries in SQL and want to learn these concepts, start with my previous guided projects titled “Querying Databases using SQL SELECT statement," and “Performing Data Aggregation using SQL Aggregate Functions.” I taught these guided projects using PostgreSQL. So, taking these projects will give the needed requisite to complete this SQL Mathematical Functions project. However, if you are comfortable writing queries in PostgreSQL, please join me on this wonderful ride! Let’s get our hands dirty!