The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
EDUCBA
Face Recognition with Keras: Detect & Classify
Learners will identify the principles of convolutional neural networks, analyze image data, apply preprocessing techniques, generate facial embeddings, and evaluate recognition models for real-world deployment. This hands-on course takes participants through the entire journey of building an advanced face recognition application with Keras. Starting with the foundations of CNNs and image preprocessing, learners will discover how to configure their systems, detect faces using MTCNN, and highlight features with bounding boxes and keypoints. The course then transitions into organizing datasets, generating embeddings with FaceNet, and constructing robust classifiers to recognize individual identities. By completing the course, learners gain practical experience in both face detection and recognition pipelines, bridging theory with implementation. They will acquire the ability to develop scalable computer vision applications, a highly sought-after skill in artificial intelligence and deep learning domains. What makes this course unique is its end-to-end, project-based approach: instead of focusing on isolated concepts, learners build a fully functional system, ensuring mastery of both foundational techniques and advanced deployment strategies.
University of Illinois Urbana-Champaign
Global Marketing: Building Iconic Brands
Global Marketing: Iconic Brands uses the cultural frameworks introduced in Global marketing: Cultural Frameworks to guide the process of crafting a culturally focused marketing plan for a global expansion. The course introduces the key steps for developing a global marketing plan, starting with an environmental analysis of the new markets to be developed, which provides insights into the cultural preferences of target consumers in these new markets.
Coursera
كيفية دمج التطبيقات في لوحة معلومات هووتسويت
من الشائع أن يكون للأشخاص والشركات تواجد ملف تعريف على أكثر من موقع للتواصل الاجتماعي. سواء كان ذلك بالنسبة للملفات الشخصية أو ملفات تعريف الأعمال أو غيرها، فإن هدف وسائل التواصل الاجتماعي هو الحصول على المزيد من الإعجابات والمتابعين وتسويق مشاريعك الخاصة. ولتحقيق ذلك وللتمكن من إدارة ملفات تعريف وسائط اجتماعية متعددة، خصصنا هذه الدورة التدريبية لتعلم كيفية إدارة جميع حساباتك الاجتماعية من خلال منصة واحدة وستكون قادرا على التحكم في حساباتك الخاصة والحسابات التي تديرها لشركتك أو الجهة التي تعمل بها ويسهل عليك التواجد في كل اللحظات، حيث ستصبح قادرا على برمجة منشوراتك في أوقات معينة. في نهاية هذه الدورة التدريبية، ستتمكن من إضافة تطبيقات إلى هووتسويت للاتصال بأدوات العمل التي تثق بها بالفعل، والاستفادة من ميزات التكامل القوية، وتسهيل حياتك العملية. بإكمال هذه الدورة التدريبية عن هووتسويت، وبمجرد اكتمال هذا المشروع سيكون بإمكانك الاتصال بجميع بروفايلاتك على مواقع التواصل الاجتماع وإدارة جميع حساباتك من خلال لوحة معلومات واحدة. ملاحظة هامة: تعمل هذه الدورة التدريبية بشكل أفضل للمتعلمين المقيمين في منطقة أمريكا الشمالية، نعمل حاليًا على توفير نفس التجربة في مناطق أخرى.
Coursera
Classify, Document & Validate Healthcare Data
Healthcare data is growing exponentially, but without proper classification, documentation, and validation, it becomes a liability instead of an asset. This course transforms you into a healthcare data steward who can ensure data quality, compliance, and discoverability. This Short Course was created to help data analysis professionals accomplish systematic healthcare data management that meets regulatory requirements while supporting clinical decision-making. By completing this course, you'll be able to establish robust data cataloging processes, implement validation workflows that catch data integrity issues before they impact patient care, and apply industry-standard classification frameworks that protect sensitive information while enabling analytics. By the end of this course, you will be able to: • Apply documentation to catalog new datasets • Evaluate data load completion and row counts using system logs • Apply a classification rubric to categorize data fields according to their type and sensitivity level This course is unique because it combines hands-on practice with real EMR scenarios, giving you practical experience with the actual tools and processes used in healthcare data operations. To be successful in this project, you should have a background in basic data analysis concepts and familiarity with healthcare terminology.
Amazon Web Services
AWS Network Connectivity Options
This course is for individuals who seek knowledge of networking on Amazon Web Services (AWS) beyond the foundational level. You will learn about various connectivity options, including how to choose the best way to create a secure network. You will explore and analyze complex network design patterns and learn best practices that are ideal for your organization.
University of Washington
Machine Teaching for Autonomous AI
(This program was formerly part of a three-course specialization called Autonomous AI for Industry. Because the software program Bonsai was discontinued, references to Bonsai have been removed. You can still learn about autonomous AI and machine teaching through our two individual courses "Designing Autonomous AI" and "Machine Teaching for Autonomous AI.") Just as teachers help students gain new skills, the same is true of artificial intelligence (AI). Machine learning algorithms can adapt and change, much like the learning process itself. Using the machine teaching paradigm, a subject matter expert (SME) can teach AI to improve and optimize a variety of systems and processes. The result is an autonomous AI system. In this course, you’ll learn how automated systems make decisions and how to approach designing an AI system that will outperform current capabilities. Since 87% of machine learning systems fail in the proof-concept phase, it’s important you understand how to analyze an existing system and determine whether it’d be a good fit for machine teaching approaches. For your course project, you’ll select an appropriate use case, interview a SME about a process, and then flesh out a story for why and how you might go about designing an autonomous AI system. At the end of this course, you’ll be able to: • Describe the concept of machine teaching • Explain the role that SMEs play in training advanced AI • Evaluate the pros and cons of leveraging human expertise in the design of AI systems • Differentiate between automated and autonomous decision-making systems • Describe the limitations of automated systems and humans in real-time decision-making • Select use cases where autonomous AI will outperform both humans and automated systems • Propose an autonomous AI solution to a real-world problem • Validate your design against existing expertise and techniques for solving problems
Coursera
Build a Lean Workflow with Kanban Frameworks in Miro
By the end of this project, you will be able to build a lean workflow applying the Kanban method to support efficient business process management. To do this you will gain hands-on experience working in the Miro online visual collaboration platform for teamwork where you will leverage agile principles and the Kanban framework to produce a lean workflow. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
University of Michigan
Introduction to 3D Modeling
On this four-week practical course from the University of Michigan, you’ll not only learn how to use the Rhino software to create your 3D models, but you’ll also gain basic design skills to help bring your imagination to life. This course will guide you through 3D modeling within Rhino, so you’ll cover the fundamentals of the software as well as 3D modeling in general. You’ll first look at how to navigate the user interface and the different tools that you’ll be using to create models throughout this course. You’ll familiarize yourself with the 3D space and 3D objects before jumping straight in to create your own objects and building blocks. Design is a vital part of 3D modeling. You can be a master of the software but if you aren’t aware of fundamental design concepts, you won’t be able to truly unleash your potential. You’ll build your basic design skills by looking at line, shape, form, and space, before creating and editing 2D line forms that you’ll transform into patterned mandalas and 3D tile wall designs. This course will guide you through the concept of profile modeling and will allow you to utilize 3D surface and 3D solid modeling tools to create and edit more complex designs. To round out your foundational knowledge, you’ll dive into 3D rendering and creating 3D printable models. Then, once you’ve completed each step of the course, you can bring your newfound skills together into one final 3D modeling project. This course has been designed for anyone interested in 3D design and learning how to use 3D modeling software. You don’t need any previous knowledge or experience to benefit from this course. It will be particularly useful to Architects, Designers, Engineers, or anyone studying in these fields.
Packt
Developing RAG Apps with LlamaIndex and JS
In this course, you will learn how to build Retrieval-Augmented Generation (RAG) applications using LlamaIndex and JavaScript. Starting with an introduction to the course structure and prerequisites, you’ll dive straight into hands-on learning to build production-ready apps. By the end of the course, you will be able to integrate various data sources, set up an OpenAI account, and use powerful tools such as the RouterQueryEngine to handle advanced queries. The course starts with setting up your development environment with NodeJS and OpenAI. You'll be introduced to LlamaIndex, explore its core features, and quickly dive into the fundamentals of RAG systems, from data ingestion and indexing to querying and building custom RAG systems. Along the way, you’ll gain in-depth knowledge of how to handle different types of data, such as PDFs, and how to interact with your system using an Express API. As you progress, you'll tackle more advanced concepts like handling multiple query engines, using agents, and incorporating production-level techniques to make your RAG apps robust and scalable. The course culminates in building a full-stack chatbot app with NextJS and deploying it to Vercel. You’ll leave the course with the ability to develop, deploy, and maintain sophisticated RAG applications. This course is ideal for developers with a solid understanding of JavaScript and basic web development concepts who wish to learn more about RAG systems and their application in real-world projects. No prior experience with LlamaIndex is necessary, but familiarity with NodeJS and APIs is recommended.
University of California, Irvine
Salesforce Integration
Salesforce Integration explores why data management is so important, how Salesforce can help organize and display reported data to gain insight into trends and patterns, and how to automate manual business procedures. Learners will specifically practice creating custom automation process, building work flows, and performing data modeling. The course includes in-depth readings and practical application activities within Salesforce's Trailhead education platform, peer discussion opportunities, demonstration videos, and peer review assignments.
Intel
Intel® AI Win Recipes
Learn about customers having success with Intel AI
IBM
Cybersecurity Architecture
In today's digital world, cyberattacks are aimed at stealing sensitive information or holding data hostage. Cybersecurity Ventures predicts that by 2031, a ransomware attack will occur every two seconds, compared to one every eleven seconds in 2021. This growing frequency underscores the urgent need for skilled cybersecurity professionals. If you are starting a career as a cybersecurity analyst or are simply curious about how cybersecurity works, join us on this five-week journey through Cybersecurity Architecture. You will learn from a distinguished cybersecurity engineer who also teaches as an adjunct professor at a local university. This course is designed for anyone interested in gaining a solid understanding of cybersecurity. It covers fundamental topics such as the five security principles, the CIA triad, Identity and Access Management (IAM), endpoint security, and key security domains. You will also learn about detection and response concepts and tools, giving you a complete view of prevention, detection, and response. Throughout the course, you will have opportunities to apply what you learn through practical activities and labs, and to test your knowledge with quizzes across different modules. Come and explore the world of cybersecurity.
Google Cloud
Cloud Scheduler: Qwik Start
This is a self-paced lab that takes place in the Google Cloud console. In this lab you'll create a recurring Cloud Scheduler job that specifies a Pub/Sub topic as the job target.
Universidad Austral
Principios esenciales de diseño en Tableau
En este curso, analizarás y aplicarás principios de diseño esenciales para tus visualizaciones en Tableau. Este curso asume que comprendes las herramientas dentro de Tableau y tienes algún conocimiento de los conceptos fundamentales de visualización de datos. Definirás y examinarás las similitudes y diferencias del análisis exploratorio y estudio, así como comenzarás a hacerte las preguntas correctas sobre lo que se necesita en una visualización. Evaluarás cómo trabajan juntos los datos y el diseño, incluida la forma de elegir la representación visual adecuada para tus datos y la diferencia entre imágenes efectivas e ineficaces. Aplicarás principios efectivos de diseño de mejores prácticas a tus visualizaciones de datos y podrá ilustrar ejemplos de uso estratégico del contraste para resaltar elementos importantes. Evaluarás los atributos preatentivos y por qué son importantes en las visualizaciones. Examinarás la importancia de usar la cantidad "correcta" de color y en el lugar correcto y podrás aplicar los principios de diseño para ordenar tu visualización de datos.
Google Cloud
Serverless Data Processing with Dataflow: Develop Pipelines en Español
En esta segunda parte de la serie de cursos sobre Dataflow, analizaremos en profundidad el desarrollo de canalizaciones con el SDK de Beam. Comenzaremos con un repaso de los conceptos de Apache Beam. A continuación, analizaremos el procesamiento de datos de transmisión con ventanas, marcas de agua y activadores. Luego, revisaremos las opciones de fuentes y receptores en sus canalizaciones, los esquemas para expresar datos estructurados y cómo realizar transformaciones con estado mediante las API de State y de Timer. Después, revisaremos las prácticas recomendadas que ayudan a maximizar el rendimiento de las canalizaciones. Al final del curso, presentaremos SQL y Dataframes para representar su lógica empresarial en Beam y cómo desarrollar canalizaciones de forma iterativa con notebooks de Beam.
IBM
Software Developer Career Guide and Interview Preparation
Software engineering professionals are in high demand around the world, and the trend shows no sign of slowing. There are lots of great jobs available, but lots of great candidates too. How can you get the edge in such a competitive field? This course will prepare you to enter the job market as a strong candidate for a software engineering position. It provides practical techniques for creating essential job-seeking materials such as a resume and portfolio, along with supporting tools like a cover letter and an elevator pitch. You’ll also learn how to conduct company and industry research, identify the right roles for your interests and skill level, and build a targeted job search strategy. You’ll get guidance on how to network both online and offline, assess job listings, and submit high-quality applications. The course will also walk you through each stage of the interview process, from initial screenings to coding challenges, second-round interviews, and final conversations with hiring teams. It doesn’t stop there. You’ll get inside tips on how to follow up professionally after an interview and reflect on your performance to continuously improve. You’ll also gain insight into the regular responsibilities and tasks of software developers, explore career pathways, and learn from experts who have successfully navigated the tech industry. Throughout the course, seasoned software professionals share their own career journeys and advice, offering practical strategies for networking, preparing for interviews, and standing out in technical evaluations. This course will prepare learners for roles with various titles, including Software Engineer, Software Developer, Application Developer, Full-Stack Developer, Front-End Developer, Back-End Developer, DevOps Engineer, and Mobile App Developer.