The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
EDUCBA
Analyze and Apply Deep Learning for Computer Vision
By the end of this course, learners will be able to analyze core deep learning architectures, apply neural networks to visual data, and evaluate computer vision techniques for real-world problem solving. Learners will develop the ability to interpret how models learn from images, select appropriate architectures for specific tasks, and implement solutions for visual understanding and generation. This course integrates foundational deep learning concepts with practical computer vision applications, enabling learners to move seamlessly from theory to implementation. Starting with neural networks, convolutional and recurrent architectures, learners build a strong conceptual base before advancing to image processing, feature extraction, object detection, segmentation, and image generation. Emphasis is placed on modern workflows such as transfer learning and generative modeling to reflect current industry practices. What makes this course unique is its end-to-end structure that connects deep learning fundamentals directly to visual intelligence use cases. Rather than treating deep learning and computer vision as separate disciplines, the course unifies them into a single, coherent learning journey. This approach equips learners with job-ready skills applicable to AI development, data science, and computer vision roles across industries.
Vanderbilt University
ChatGPT Advanced Data Analysis
ChatGPT Advanced Data Analysis is going to transform tasks by helping amplify your productivity and supporting your creativity. ChatGPT Advanced Data Analysis can help you augment your intelligence and automate tasks, such as: 1. Turning an Excel file into visualizations and then slides inside a PowerPoint presentation; extracting data from a series of PDFs 2. Answering questions about what is in the PDFs, and visualizing the data; automatically determining if a receipt complies with a travel policy captured in a PDF 3. Transforming a document into a training presentation and associated quizzes; reading and reorganizing a set of documents based on what they contain 4. Producing social media and marketing content from a series of documents or video transcripts 5. Automating resizing and editing of videos/images while also cataloging them in a CSV Anyone with ChatGPT Advanced Data Analysis can tap into these capabilities without any prior experience in programming. The course teaches you how to converse with ChatGPT Advanced Data Analysis to accomplish these tasks, how to think about problem solving, and what types of tasks are good fits for the tool. You will learn a wide range of building blocks that you can apply in your own work and life. Large language models respond to instructions and questions posed by users in natural language statements, known as “prompts”. Although large language models will disrupt many fields, most users lack the skills to write effective prompts. Expert users, who understand how to write good prompts, are orders of magnitude more productive and can unlock significantly more creative uses for these tools. This course will introduce you to prompt writing skills that target ChatGPT Advanced Data Analysis.
University of Illinois Urbana-Champaign
Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure
Welcome to the Cloud Computing Applications course, the first part of a two-course series designed to give you a comprehensive view on the world of Cloud Computing and Big Data! In this first course we cover a multitude of technologies that comprise the modern concept of cloud computing. Cloud computing is an information technology revolution that has just started to impact many enterprise computing systems in major ways, and it will change the face of computing in the years to come. We start the first week by introducing some major concepts in cloud computing, the economics foundations of it and we introduce the concept of big data. We also cover the concept of software defined architectures, and how virtualization results in cloud infrastructure and how cloud service providers organize their offerings. In week two, we cover virtualization and containers with deeper focus, including lectures on Docker, JVM and Kubernates. We finish up week two by comparing the infrastructure as a service offering by the big three: Amazon, Google and Microsoft. Week three moves to higher level of cloud offering, including platform as a service, mobile backend as a service and even serverless architectures. We also talk about some of the cloud middleware technologies that are fundamental to cloud based applications such as RPC and REST, JSON and load balancing. Week three also covers metal as a service (MaaS), where physical machines are provisioned in a cloud environment. Week four introduces higher level cloud services with special focus on cloud storage services. We introduce Hive, HDFS and Ceph as pure Big Data Storage and file systems, and move on to cloud object storage systems, virtual hard drives and virtual archival storage options. As discussion on Dropbox cloud solution wraps up week 4 and the course.
Coursera
Azure CloudOps: Automating Infrastructure & Cost Control
As Azure environments grow more complex, the need for automated and cost-conscious operations becomes essential. This course is your launchpad to mastering the tools and techniques that make modern CloudOps scalable, efficient, and financially sound. In this course, you’ll discover how to leverage key Azure services and best practices to build robust, scalable architectures. Learn to deploy IaC templates and automate pipelines in Azure DevOps. We’ll explore Azure’s built-in cost management features like budgets, alerts, and Advisor recommendations, ensuring you gain a holistic approach. You’ll confidently deploy and manage Azure environments at scale, knowing how to enforce governance and control your cloud spend. You’ll learn to implement tagging strategies, automate resource creation, and set up reporting dashboards that highlight real-time usage and expenses. Prevent cost overruns, reduce errors, and improve operational efficiency with practical labs and real-world use cases. This course is designed for professionals who manage or support Azure environments and are seeking to enhance their operational efficiency. Junior cloud engineers transitioning into Azure-based infrastructure will gain hands-on skills to automate and optimize deployments. DevOps professionals aiming to streamline their Azure workflows will learn essential CI/CD and cost management techniques. Additionally, IT managers looking to understand and implement effective cost optimization strategies within their organizations will find this course highly valuable. Learners should have a basic understanding of Azure portal navigation and familiarity with command-line tools such as Azure CLI. Experience with version control systems, particularly Git, is also required. While the course is suitable for beginners in CloudOps, these foundational skills will enable participants to fully engage with the hands-on labs and practical exercises included in the curriculum. By the end of this course, learners will be equipped to provision, tag, and manage Azure resources using Infrastructure as Code (IaC) techniques such as ARM and Bicep templates. They will be able to automate CI/CD pipelines using Azure DevOps to ensure consistent and reliable infrastructure deployments. Participants will gain the skills to monitor and optimize cloud costs through Azure Cost Management, budgets, and alerting features. Finally, they will learn to implement Azure best practices for governance, including policy enforcement and effective resource tagging strategies.
Packt
The Scrum Repair Guide - Get Agile Teams Back on Track
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. Struggling Scrum teams often face hidden challenges—unclear goals, poor collaboration, ineffective backlog management, and misaligned roles. This course helps you diagnose what’s going wrong and provides practical strategies to restore agility, improve team alignment, and drive better outcomes. You’ll learn how to identify common Scrum dysfunctions, strengthen team collaboration, and implement frameworks like OKRs to guide meaningful progress. The course begins by helping you evaluate the current health of your Scrum team and understand why Scrum initiatives frequently fail. You will analyze common pitfalls such as blindly following best practices, unclear goals, trust issues, and the damaging effects of micromanagement. Through practical exercises, you’ll assess team performance and implement proven techniques to improve alignment and collaboration. Next, the course revisits Scrum’s core values and demonstrates how they can guide better decision-making and team culture. You’ll explore ways to optimize the Product Backlog, clarify the Product Owner’s responsibilities, and address issues such as multiple backlogs or unclear product vision. Along the way, hands-on exercises will help you refine sprint retrospectives, backlog prioritization, and stakeholder communication. The course is designed for Scrum Masters, Agile coaches, developers, product managers, and team leaders who want to improve the effectiveness of their Scrum teams. Beginners with a basic understanding of Agile concepts can benefit, while experienced practitioners will gain actionable techniques for troubleshooting real-world Scrum challenges. By the end of the course, you will be able to diagnose common Scrum failures, strengthen Scrum roles and responsibilities, improve backlog management and sprint processes, and implement practical strategies to restore team alignment, productivity, and value delivery.
SkillUp
Business Implementation and Security
The Business Implementation and Security course is a part of the Certified Blockchain Security Professional (CBSP) Exam Prep Specialization. This course introduces you to fundamental cryptographic principles and the transformative potential of blockchain across various industries. You will gain insight into the three leading frameworks in blockchain technology, including Ethereum, Corda, and Hyperledger Fabric. Additionally, you will gain insight into cryptographic protocols, business continuity, and disaster recovery. By the end of this course, you will be able to: 1. Explain how to integrate blockchain technology into business operations while prioritizing robust security measures. 2. Evaluate practical strategies for deploying distributed ledger solutions across industries. 3. Identify key considerations for safeguarding sensitive data and mitigating potential threats within the blockchain ecosystem. 4. Explain how to address real-world challenges in implementing blockchain in a business. This course is designed for individuals interested in blockchain security and cybersecurity and is suitable for coding and non-coding professionals.
Microsoft
Managing Azure Infrastructure: Storage, Monitoring & Backup
In this course, you’ll enhance your understanding in three key areas for maintaining a stable and secure Azure environment: monitoring for and detecting issues that could impact resource performance or function, choosing and setting up the appropriate types of storage accounts for the data you’ll be working with, and configuring backups to ensure your environment’s resilience and ability to recover from failure. By the end of this course, you’ll be able to: • Configure basic monitoring in Azure for proactive resource management. • Set up and manage alerts based on various conditions and thresholds to ensure timely response. • Manage various types of Azure Storage accounts • Configure Azure Storage security • Implement effective backup strategies for both files and folders, as well as virtual machines in Azure • Explain the significance of updating and patching for security This is also a great way to prepare for the Microsoft AZ-900 Exam. By passing the AZ-900 Exam, you’ll earn the Microsoft Azure Fundamentals certification.
Alex Genadinik
AI Ethics
In today’s rapidly changing digital world, understanding business ethics and AI ethics is essential for anyone working in business, technology, or leadership. This comprehensive course teaches you how to make ethical decisions, lead with integrity, and apply responsible AI practices in real organizations. It is designed for professionals, students, managers, and entrepreneurs who want a strong foundation in ethical thinking as well as practical frameworks for navigating modern challenges created by emerging technologies. You will learn the fundamentals of business ethics, including ethical leadership, organizational responsibility, stakeholder impact, and how to build ethical cultures inside companies. We explore real-world scenarios such as conflicts of interest, transparency, environmental responsibility, and corporate social responsibility. The course also focuses heavily on AI ethics, giving you the skills to evaluate AI systems, identify risks, reduce bias, safeguard privacy, and ensure responsible and safe use of AI tools. You will learn how companies create AI governance guidelines, form ethics committees, conduct risk assessments, and follow global regulations. We discuss the challenges of algorithmic bias, data misuse, misinformation, privacy concerns, safety, explainability, and the long-term societal impact of AI. Through examples and case studies from major organizations, you will gain practical strategies for designing, deploying, and overseeing AI systems responsibly. By the end of the course, you will be able to apply ethical frameworks to business decisions, create responsible AI policies, evaluate ethical concerns in AI-driven products, and confidently navigate the intersection of business, technology, and society.
University of Colorado Boulder
Gangster Fiction: Rise of an American Antihero
This four-week course explores the American gangster novel as a distinctive literary genre that reveals the complexity of American identity, ambition, and moral drive. Centered on W. R. Burnett’s Little Caesar (1929), one of the foundational texts of gangster fiction, the course examines how fictional gangsters emerge as uniquely American antiheroes—figures who are admired and condemned, charismatic and isolated. Through close reading and literary analysis, students will explore characterization, narrative structure, language, religious symbolism, and public persona, while situating the gangster within broader cultural conversations about power, masculinity, and immigration. Designed for multiple ways of engaging with literature, the course offers tracks in academic analysis, book-club discussion, and creative reflection, treating gangster fiction not as a static genre but as a living form that continues to shape how we understand ambition, identity, and storytelling in American culture.
Universidades Anáhuac
Tecnología e IA en seguros: Oportunidades y desafíos
En este curso se explora el impacto transformador de la revolución tecnológica y la inteligencia artificial (IA) en el ámbito empresarial, con énfasis en el sector asegurador. A través de cinco unidades, se analizan conceptos clave como el alcance y la evolución de la IA, casos prácticos de implementación exitosa, tendencias tecnológicas emergentes y estrategias para enfrentar desafíos. También aborda la importancia de herramientas innovadoras, como chatbots y plataformas digitales, para mejorar la eficiencia. Finalmente, se promueve una cultura tecnológica, sensibilizando sobre los beneficios de la IA y proporcionando estrategias para liderar el cambio y reducir el miedo a la innovación.
Whizlabs
Azure: Security Operations Management
Azure: Security Operations Management Course is the fourth course of the Exam Prep AZ-500: Microsoft Azure Security Engineer Associate Specialization. This course is designed to describe the concepts of Managing Security operations related to multiple Azure services. In This course, you will how to Plan, implement, and manage governance for security, how to Manage security posture by using Microsoft Defender for Cloud, Configuration, and management of threat protection by using Microsoft Defender for Cloud, Configuration, and management of security monitoring and automation solutions. This course is basically divided into two modules, Lessons and Video Lectures further segment each module. This course facilitates learners with approximately 3:00 - 4:00 Hours of Video lectures that provide both theory and hands-on knowledge. Also, Graded and Ungraded Quizzes are provided with every module in order to test the ability of learners. By the end of this course, you'll be able to learn Security Governance in Azure, Security Monitoring with Automation Solutions, and Microsoft Defender for Cloud: Security Posture & Threat Protection. To be successful in this course, you should have a background in Monitoring Security with Automation Tools and you should have knowledge of Microsoft Defender for CLoud and Microsoft Sentinel Security Solutions.
O.P. Jindal Global University
Unsupervised Learning and Its Applications in Marketing
Welcome to the Unsupervised Learning and Its Applications in Marketing course! In this course, you will delve into the fascinating world of unsupervised machine learning and its relevance to the field of marketing. Unsupervised learning is a powerful approach that allows us to uncover hidden patterns and insights from vast amounts of historical data without the need for explicit labels or human intervention. Through hands-on exercises and real-world examples, you will learn how to leverage the Python programming language to apply unsupervised learning algorithms in marketing contexts. Throughout the course, you will explore various unsupervised learning techniques, such as clustering, dimensionality reduction, and association rule mining. These techniques will enable you to identify customer segments, uncover meaningful relationships between variables, and gain valuable insights into consumer behavior. By mastering the applications of unsupervised learning in marketing, you will acquire the skills to extract actionable knowledge from data, make data-driven decisions, and unlock new opportunities for your marketing strategies. So, get ready to embark on a journey of discovery and innovation as you explore the fascinating world of unsupervised learning and its transformative applications in marketing. Let's dive in and unlock the hidden potential of data-driven marketing together! To succeed in this course, you should have a basic understanding of Python. You will also need certain software requirements, including Anaconda navigator.
Board Infinity
Sales Execution: Pipeline, Discovery & Deal Influence
Strong sales performance doesn’t come from activity alone — it comes from clear pipeline ownership, sharp discovery, and the ability to guide complex conversations. In this course, you’ll learn how experienced sales professionals manage their book of business, uncover real business problems, and move deals forward with confidence. Using practical frameworks and real-world examples, you’ll build skills in pipeline planning, stakeholder discovery, business case development, active listening, and persuasive storytelling. Across four modules, you’ll learn how to run better discovery calls, navigate multi-stakeholder conversations, turn insights into compelling business cases, and deliver demos that resonate with both technical and executive audiences. By the end of the course, you will: • Build and manage a balanced sales pipeline aligned with quota • Run deeper discovery conversations with multiple stakeholders • Translate customer conversations into clear business cases • Guide meetings using questioning, listening, and indirect influence • Deliver tailored demos and follow-ups that move deals forward This course is ideal for: • Account Executives and sales professionals with 2–5 years of experience • B2B sellers managing active pipelines and complex deals • SDRs transitioning into closing roles • Customer-facing professionals involved in discovery or demos 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.
Anmol Test Institution
Créer une enquête de satisfaction client avec Typeform
Lors de ce projet, vous serez capable de créer en un seul clic, une enquête de satisfaction client avec Typeform qui est un outil de création de formulaires en ligne qui vous simplifie la réalisation de différents formulaires dédiés à la collecte de données. Vous pourrez évaluer le degré de satisfaction de votre clientèle cible, ce qui vous permettra d’entreprendre les actions nécessaires par la suite.
Coursera
Securing Applications with Checkmarx
In today’s DevSecOps environments, security testing can’t wait until production. Securing Applications with Checkmarx + ZAP teaches you how to integrate dynamic application security testing (DAST) directly into your development pipeline and make sense of the results. Through realistic, scenario-based labs, you’ll deploy and automate OWASP ZAP scans, interpret vulnerability reports, tune alert filters, and verify remediation through hands-on experimentation. You’ll also learn to synthesize technical findings into executive-level insights using simple frameworks like “What / So What / Now What. This course is designed for developers, DevSecOps engineers, QA testers, and security professionals who want to embed application security testing into continuous delivery workflows. It’s also well-suited for learners transitioning into application security roles or teams looking to improve scan accuracy, reduce noise, and automate security validation. Learners should have a basic understanding of DAST, SAST, and common application vulnerabilities, along with foundational knowledge of secure coding practices. Experience with CI/CD pipelines, containers, or developer tools is helpful but not required. By the end of this course, you’ll be able to confidently design, run, and communicate automated security scans that transform raw data into actionable intelligence—strengthening both your applications and your organization’s overall security posture.
Pontificia Universidad Católica de Chile
Sistemas y modelos de organización de la atención en salud
En este curso comprenderás la gestión de organizaciones, servicios y sistemas de salud, con perspectiva local y global. Analizarás las bases generales de la organización de los sistemas sanitarios y de la gobernanza en salud para el logro de los Objetivos Sanitarios. Comprenderás la relevancia de la Cobertura Universal para la Equidad den Salud y sus principales desafíos. Este curso te permitirá analizar los factores que determinan un buen sistema prestador de servicios de salud, comprendiendo los modelos de atención y las organizaciones prestadoras, así como, también analizando los principales elementos de los marcos regulatorios que influyen en su desarrollo. El curso está dirigido a cualquiera que tenga interés en temas de salud pública, sean simplemente personas interesadas, estudiantes de pregrado, técnicos o estudiantes de post grado con carreras afines. Se divide en cuatro módulos, donde se verán conceptos tales como: Gestión en las Organizaciones, Servicios y Sistemas de Salud, Financiación y Seguros de Salud, entre otros.