The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
EDUCBA
Master Advanced Redis Operations and Server Management
By completing this course, learners will be able to analyze Redis core architecture, apply advanced command operations, implement atomic transactions and Lua scripting, and manage Redis server configurations, persistence, and replication in production environments. They will also be equipped to evaluate client connections, optimize performance, and troubleshoot real-world Redis deployments with confidence. This course benefits learners by bridging the gap between basic Redis usage and advanced, job-ready expertise. Instead of focusing only on commands, it develops a deep understanding of how Redis works internally, enabling informed decision-making for scalability, reliability, and performance optimization. Learners gain practical skills that are directly applicable to high-traffic applications, caching systems, messaging platforms, and real-time analytics use cases. What makes this course unique is its structured progression from Redis fundamentals to advanced server internals, reinforced by hands-on concepts such as Lua scripting, transactional control, persistence models, and replication strategies. The course emphasizes real-world scenarios, production considerations, and performance best practices, making it ideal for developers, system engineers, and architects seeking mastery of Redis beyond surface-level knowledge.
University of California San Diego
Comparing Genes, Proteins, and Genomes (Bioinformatics III)
Once we have sequenced genomes in the previous course, we would like to compare them to determine how species have evolved and what makes them different. In the first half of the course, we will compare two short biological sequences, such as genes (i.e., short sequences of DNA) or proteins. We will encounter a powerful algorithmic tool called dynamic programming that will help us determine the number of mutations that have separated the two genes/proteins. In the second half of the course, we will "zoom out" to compare entire genomes, where we see large scale mutations called genome rearrangements, seismic events that have heaved around large blocks of DNA over millions of years of evolution. Looking at the human and mouse genomes, we will ask ourselves: just as earthquakes are much more likely to occur along fault lines, are there locations in our genome that are "fragile" and more susceptible to be broken as part of genome rearrangements? We will see how combinatorial algorithms will help us answer this question. Finally, you will learn how to apply popular bioinformatics software tools to solve problems in sequence alignment, including BLAST.
Universidades Anáhuac
Topics of Medical Spanish II: Connecting with your Patients
Connecting with Your Patients is an introductory Spanish course designed to equip you with essential language skills efficiently. The curriculum spans six modules, each packed with relevant vocabulary, critical verb tenses, and their practical applications, ensuring you build a strong foundation in Spanish. The course features engaging multimedia elements like videos, audio clips, and micro-lessons to boost your listening and reading comprehension while refining your pronunciation and writing skills. Lessons are thoughtfully crafted to support gradual learning, with exercises that track your progress and reinforce the material. Each module includes interactive activities to practice the content, helping you solidify your communicative abilities in Spanish.
Coursera
Build & Transform Data Pipelines
Ready to build data pipelines that power modern analytics? This course transforms you from someone who processes data manually into a data engineer who creates automated, modular pipeline systems. This Short Course was created to help Data Management and Engineering professionals accomplish scalable, maintainable data processing workflows. By completing this course, you'll be able to design and implement production-ready pipelines that seamlessly move data from raw sources to analytics-ready destinations using industry-standard tools. By the end of this course, you will be able to: • Create modular pipeline stages for data ingestion, cleansing, transformation, and loading • Implement automated workflows using Python, dbt, and Airflow • Deploy scalable solutions on cloud platforms like AWS and Snowflake This course is unique because it focuses on hands-on implementation with real-world scenarios using popular open-source tools that drive today's data infrastructure. To be successful in this project, you should have a background in basic SQL, Python programming, and familiarity with data concepts.
Coursera
Launch an auto-scaling AWS EC2 virtual machine
In this 1-hour long project-based course, you will learn how to Launch an autoscaling AWS EC2 virtual machine using the AWS console. Amazon Elastic Compute Cloud is the service you use to create and run virtual machines (VM), also known as instances. By completing the steps in this guided project, you will successfully launch an auto-scaling Amazon EC2 virtual machine using the AWS console within the AWS Free Tier. You will also verify the auto-scalable EC2 virtual machine and then terminate your scaling infrastructure. Note: This course works best for learners who are based in the North American region. We’re currently working on providing the same experience in other regions.
Edureka
Developing Applications with Claude API
This course focuses on building real-world applications using the Claude API, moving beyond basic prompts to structured, reliable, and scalable API-driven systems. Designed for developers and technical learners, the course teaches how to interact with Claude programmatically, structure API requests, manage multi-turn conversations, and generate consistent, machine-readable outputs using JSON. You’ll learn how to design applications that maintain context, validate responses, and handle tasks reliably. Through guided lessons and hands-on demonstrations, you’ll set up Claude API requests, build chat-based and text-processing applications, and progressively add context-awareness, task-based logic, and structured outputs. The course also covers advanced techniques such as streaming responses, error handling, performance optimization, and cost control. You will explore how to maintain conversation state across multiple interactions, enforce output formats for downstream systems, design small task-based agents, and improve application reliability using retries, validation, and controlled workflows. By the end of this course, you will be able to: - Structure and send well-formed requests to the Claude API - Build multi-turn, context-aware API applications - Generate and enforce structured JSON responses - Design task-based mini agents for automated workflows - Implement streaming responses and real-time updates - Handle API errors, rate limits, and retries effectively - Optimize API usage for performance and cost This course is ideal for software developers, backend engineers, and AI practitioners who want to build production-ready applications using Claude’s API. A basic understanding of Python and familiarity with APIs will be helpful, but no prior experience with advanced AI systems is required. Join us to learn how to design reliable, efficient, and scalable applications powered by the Claude API.
Duke University
Increasing Real Estate Management Profits: Harnessing Data Analytics
In this final course you will complete a Capstone Project using data analysis to recommend a method for improving profits for your company, Watershed Property Management, Inc. Watershed is responsible for managing thousands of residential rental properties throughout the United States. Your job is to persuade Watershed’s management team to pursue a new strategy for managing its properties that will increase their profits. To do this, you will: (1) Elicit information about important variables relevant to your analysis; (2) Draw upon your new MySQL database skills to extract relevant data from a real estate database; (3) Implement data analysis in Excel to identify the best opportunities for Watershed to increase revenue and maximize profits, while managing any new risks; (4) Create a Tableau dashboard to show Watershed executives the results of a sensitivity analysis; and (5) Articulate a significant and innovative business process change for Watershed based on your data analysis, that you will recommend to company executives. Airbnb, our Capstone’s official Sponsor, provided input on the project design. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion. "Note: Only learners who have passed the four previous courses in the specialization are eligible to take the Capstone."
Microsoft
Code and framework based agent development
This course is designed to transition experienced developers into AI agent specialists through intensive, hands-on coding. You'll build production-ready systems by using AI frameworks and integrating advanced language models. You'll benefit by learning to build secure, cost-optimized agents and connect them to the Microsoft 365 ecosystem. By the end of this course, you will be able to: - Integrate Azure OpenAI Service for complex reasoning and implement prompt chaining strategies. - Develop professional conversational bots using Python and the Bot Framework. - Simplify AI orchestration by creating reusable plugins and memory systems with Semantic Kernel. - Connect agents to the Microsoft 365 ecosystem using the Microsoft Graph API for data access and report generation. - Implement production-ready features, including error handling, security, and cost-optimization.
EDUCBA
Build an iOS Admin Panel Using Swift & Core Data
By completing this course, learners will be able to design, build, and manage a fully functional iOS Admin Panel using Swift and Core Data, implement complete CRUD operations, validate and secure admin workflows, and prepare an admin application for real-world usage. This hands-on project-based course guides learners step by step through the creation of an iOS Admin Panel from the ground up. Starting with Core Data setup and data modeling, learners progressively develop admin-specific features such as list views, edit screens, validation logic, delete controls, and system feedback. Each module builds on the previous one, ensuring a strong foundation before moving into advanced workflows and final optimization. Learners benefit by gaining practical experience that mirrors real industry use cases, helping them strengthen their understanding of data persistence, UI-data interaction, and admin-side logic in iOS applications. What makes this course unique is its end-to-end focus on admin functionality, a skill often overlooked in standard iOS courses. Instead of isolated examples, learners complete a cohesive project that reinforces professional development practices, clean architecture, and production-ready workflows using Swift and Xcode.
LearnQuest
Defending Against AI-Driven Phishing and Social Engineering
Learners completing “Defend Against AI-Driven Phishing and Social Engineering” will master the skills needed to recognize, defend against, and simulate cutting-edge phishing campaigns powered by generative AI. By the end of the course, learners will: identify advanced features of AI-generated phishing emails; interpret attacker tactics and persuasive language; generate and test realistic scenarios using tools like SniperPhish and PentestGPT; and track engagement to discover vulnerabilities. Unique to this course is its hands-on, tool-focused approach, equipping entry-level cybersecurity professionals, technical support staff, and aspiring penetration testers with practical labs, real-world simulation, and instant feedback—requiring no prior AI or ML experience. Learners will benefit by acquiring the same skills employers expect for live engagements, bridging the gap between theory and automation, and preparing to address rapidly evolving, compliance-focused threats in diverse business environments.
LearnQuest
Practical Machine Learning without Coding
Learn to train and optimize common machine learning models, manage resource limitations, and streamline model building with no-code automation. Analyze output confidently with guided interpretation and error analytics.
EDUCBA
MonoGame: Build, Design & Showcase Games
By the end of this course, learners will be able to install and configure MonoGame, design and animate 2D objects, implement movement logic with GameTime, integrate assets through the Pipeline Tool, render sprites with precision, import and manipulate 3D models, and evaluate real-world MonoGame samples. This comprehensive course is designed to guide beginners through the fundamentals of MonoGame and gradually transition them into advanced game development concepts. Students start with project setup and content management, then move into mastering 2D graphics, object motion, and rendering workflows. Once confident with 2D, they progress into 3D game programming, including model loading, transformations, and animation techniques. Finally, learners analyze professional showcases and open-source projects to reinforce best practices. What makes this course unique is its hands-on, structured progression from beginner setup to advanced 3D graphics and showcase exploration. Each lesson combines theory with practical coding examples, ensuring learners not only understand concepts but can also apply them immediately in real projects. Whether aspiring indie developers or hobbyists, learners gain the skills to confidently design, build, and showcase cross-platform games with MonoGame.
Coursera
AWS Lambda إنشاء صورة مصغرة بإستخدام السيرفرليس و
هذا المشروع التفاعلي -إنشاء صورة مصغرة بإستخدام السيرفرليس و AWS Lambda- مُوجه الي مُتعلمي المستوي المتوسط المهتمين بالحوسبة السحابية ويريدون تقديم حلول متطورة وفريدة للمشاكل التي تواجهها الشركات. في هذا المشروع المُكون من ساعه واحده سنتعلم معًا: - - التعرف على كيفية إنشاء Amazon S3 bucket وتكوينه لتخزين الملفات. - فهم كيفية إنشاء وتكوين Lambda Function من AWS لمعالجة الملفات. - وأخيراً التعامل مع سياسات الأذونات (Policy) والتي تمنح ال Lambda Function الأذونات التي تحتاجها للوصول إلى خدمات AWS الأخرى. للنجاح في هذه المهام سنحتاج إلي: - إنشاء مجموعتين من Amazon S3 bucket. - إنشاء سياسات الأذونات (Policy) التي تحتاجها Lambda للوصول إلى موارد AWS الأخرى. - إنشاء ال Lambda Function ما يُميز هذا المشروع هو انه يحاكي طبيعة المشاكل الحقيقية التي يقابلها المطورون في سوق العمل وانه يعمل علي حل هذه المشاكل بشكل بسيط ومبتكر.
Coursera
Build your first Search Engine using AWS Kendra
This project is focused on building your first search engine using Amazon Kendra without writing a single line of code. By the end of this guided project, you will be able to build your first enterprise search engine by leveraging Amazon’s Kendra. Search as a capability is an important feature which is required by almost all medium and large enterprises as search helps filter relevant and required information in the world of big data. Search helps find relevant information quickly and saves time to go through vast information. Google’s first product was search engine, Amazon leverages search capability to browse the millions of products listed on its marketplace, Facebook has search capability for its users to find friends based on name, location, etc. and Microsoft also has its own bing search engine. AWS Kendra provides search as a service capability and as part of this guided project we shall study how to build a search engine.
Universidades Anáhuac
Introducción a la Robótica e Industria 4.0
El elemento que ha transformado fuertemente el entorno social, la industria y la manera en la que se entregan los productos y servicios son los Robots. Para la automatización de tareas ya no se requiere que los robots se encuentren formados de elementos mecánicos. Una nueva generación de robots (bots) ha permitido automatizar tareas más abstractas relacionadas con la atención a usuarios, análisis de datos y la comunicación. A lo largo de los 5 módulos de este curso, comprenderás los fundamentos básicos de la robótica. Aplicarás técnicas de programación para la configuración y manipulación de robots físicos. Crearás bots para la recopilación y análisis de datos y de sentimientos. Para poder identificar cuál es el impacto de la robótica en la industria 4.0.
DeepLearning.AI
Natural Language Processing with Probabilistic Models
In Course 2 of the Natural Language Processing Specialization, you will: a) Create a simple auto-correct algorithm using minimum edit distance and dynamic programming, b) Apply the Viterbi Algorithm for part-of-speech (POS) tagging, which is vital for computational linguistics, c) Write a better auto-complete algorithm using an N-gram language model, and d) Write your own Word2Vec model that uses a neural network to compute word embeddings using a continuous bag-of-words model. By the end of this Specialization, you will have designed NLP applications that perform question-answering and sentiment analysis, created tools to translate languages and summarize text. This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Łukasz Kaiser is a Staff Research Scientist at Google Brain and the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper.