The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
IBM
Generative AI: Business Transformation and Career Growth
In this short course, you will discover the transformative impact of generative AI on businesses and professionals. This course is suitable for anyone interested in learning about business and career opportunities through generative AI. It will benefit a diverse audience, including professionals in various domains, executives, managers, startup founders, and students. You will explore the impact of generative AI on existing businesses and opportunities for new businesses. You will learn how to make a business ready for generative AI adoption. You will identify the impact of generative AI across various industries. Further, you will explore the potential career opportunities in generative AI and how generative AI can enhance your career prospects. You will learn how generative AI can impact and enhance the existing functions, skills, and job roles in different sectors. In this course, you will hear from practitioners about the current trends and future perspectives of generative AI, exploring its potential to reshape industries and redefine professions. Finally, the course provides an opportunity to demonstrate your skills and understanding of generative AI through hands-on labs and project.
University of California, Davis
SQL for Data Science Capstone Project
Data science is a dynamic and growing career field that demands knowledge and skills-based in SQL to be successful. This course is designed to provide you with a solid foundation in applying SQL skills to analyze data and solve real business problems. Whether you have successfully completed the other courses in the Learn SQL Basics for Data Science Specialization or are taking just this course, this project is your chance to apply the knowledge and skills you have acquired to practice important SQL querying and solve problems with data. You will participate in your own personal or professional journey to create a portfolio-worthy piece from start to finish. You will choose a dataset and develop a project proposal. You will explore your data and perform some initial statistics you have learned through this specialization. You will uncover analytics for qualitative data and consider new metrics that make sense from the patterns that surface in your analysis. You will put all of your work together in the form of a presentation where you will tell the story of your findings. Along the way, you will receive feedback through the peer-review process. This community of fellow learners will provide additional input to help you refine your approach to data analysis with SQL and present your findings to clients and management.
Google Cloud
Confluent: Clickstream Data Analysis Pipeline Using ksqlDB
This is a self-paced lab that takes place in the Google Cloud console. This lab will cover how to create a clickstream data analysis pipeline using ksqlDB.
Coursera
Data Balancing with Gen AI: Credit Card Fraud Detection
In this 2-hour guided project, you will learn how to leverage Generative AI for data generation to address data imbalance. SecureTrust Financial Services, a financial institution, has asked us to help them improve the accuracy of their fraud detection system. The model is a binary classifier, but it's not performing well due to data imbalance. As data scientists, we will employ Generative Adversarial Networks (GANs), a subset of Generative AI, to create synthetic fraudulent transactions that closely resemble real transactions. This approach aims to balance the dataset and enhance the accuracy of the fraud detection model. This guided project is designed for those interested in learning how Generative models can increase model accuracy by generating synthetic data. To make the most of this project, it is recommended to have at least one year of experience using deep learning frameworks such as TensorFlow and Keras in Python.
Duke University
Building Rust AWS Lambda Microservices with Cargo Lambda
In this project, you will learn how to build an AWS Lambda function with Rust using Cargo Lambda. We will create a simple "Marco Polo" Lambda that responds with "Polo" when it receives "Marco" in the request. You will learn: * How to create a new Cargo Lambda project * Writing a basic Lambda handler function in Rust * Building, deploying and invoking your Lambda function locally and on AWS * Debugging your Lambda using logging and tracing
University of Michigan
Programação para todos (Conceitos básicos de Python)
Este curso tem como objetivo ensinar a todos os conceitos básicos de programação de computadores usando Python. Abordamos o básico de como criar um programa a partir de uma série de instruções simples em Python. O curso não tem pré-requisitos e evita tudo, exceto a matemática mais simples. Qualquer pessoa com experiência moderada em computadores deve ser capaz de dominar os materiais deste curso. Este curso abordará os capítulos 1 ao 5 do livro “Python para Todos”. Assim que o aluno concluir este curso, estará preparado para fazer cursos de programação mais avançados. Este curso aborda o Python 3.
Coursera
Master Java Build Tools for ML Projects
Machine learning projects often rely on many different libraries and tools. To manage these dependencies, we need to have a streamlined build process. A fast and effective build process can make or break many projects. If you wait too long on builds, developer productivity suffers and projects get delayed. In this course, you'll learn the fundamentals of building efficient and effective build processes for your Java machine learning applications. You'll explore common build tools like Maven and Gradle, understanding how they can construct a build process. From here, you'll explore different optimizations for build processes, including caching, parallelization, automations, and multi-project builds. This course is designed for software engineers, data engineers, and developers working with Java-based machine learning applications. If you're building analytics systems, model training pipelines, or large-scale Java projects—and want to optimize build performance—this course will give you the skills to do so confidently. Learners should have solid experience writing and compiling Java applications, including working with classes, packages, basic build commands, and common development tools. By the end of this course, you'll have the skills to confidently create build processes for your machine learning applications.
Google Cloud
アプリケーションに適した Google Cloud データベースの選択
このコースでは、Google Cloud でアプリケーションを効果的に開発するために、ニーズに適したデータベースを分析して選択する方法を学びます。リレーショナル データベースと NoSQL データベースについて理解し、Cloud SQL、AlloyDB、Spanner の知識を深めて、データベースの強みを生成 AI などのアプリケーションの要件に合わせる方法を学びます。また、Vector Search の構成とアプリケーションのクラウド移行の実践的な経験を積むことができます。
Google
Fundamentos del marketing digital y comercio electrónico
Este es el primero de los siete cursos del Certificado de Carrera de Google en Marketing Digital y Comercio Electrónico, que te brindará las habilidades que necesitas para acceder a puestos de marketing digital y comercio electrónico de nivel inicial. Las personas que trabajan en marketing digital y comercio electrónico ayudan a las empresas a atraer nuevos/as clientes, interactúan con ellos y ellas a través de distintos canales digitales y buscan impulsar ventas y crear fidelidad. En este curso, descubrirás diferentes puestos de trabajo de nivel inicial en marketing digital y comercio electrónico e identificarás los roles y funciones que se llevan a cabo en estos sectores. También aprenderás sobre el embudo de marketing y cómo se utiliza para guiar el recorrido de los y las clientes. Te guiarán especialistas de Google, que actualmente trabajan en estos sectores, con actividades prácticas y ejemplos que simulan tareas comunes y frecuentes de marketing digital y comercio electrónico. Todo esto te ayudará a desarrollar tus habilidades y prepararte para trabajar. Las y los estudiantes que completen los siete cursos de este programa estarán en condiciones de solicitar trabajos como coordinadores/as de marketing digital o especialistas en comercio electrónico en un nivel inicial. No necesitas contar con experiencia previa en el área. Al final de este curso, podrás: - Definir qué son el marketing digital y el comercio electrónico - Describir las responsabilidades laborales de un/a coordinador/a de marketing digital o analista de comercio electrónico de nivel inicial (y/o cargos similares) - Saber cómo este programa te ayudará a prepararte para una carrera en marketing digital y/o comercio electrónico - Identificar los roles y funciones que desempeñan el marketing digital y comercio electrónico dentro de una empresa - Comprender cada paso del recorrido del cliente y saber para qué sirven los mapas del recorrido - Explicar el concepto de embudo de marketing - Comprender los elementos y objetivos de una estrategia de marketing digital y comercio electrónico
Alfaisal University | KLD
إدارة البيانات في مايكرسوفت إكسل | Managing Data in MS Excel
تبدأ متعة استخدام (Excel) بعد عملية إدخال البيانات (Data Entry)، حيث تأتي القدرة على تطويع البيانات (Data) بالشكل الذي يضمن تحقيق احتياجات المستخدمين كافة بدرجة عالية الدقة وفي أقل وقت ممكن، وفي هذا الصدد نشير إلى أن (Excel) يمتلك العديد من الخيارات والأدوات التي تمكننا من إدارة البيانات (Managing Data) والتحكم فيها حسب الحاجة. 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 إدارة البيانات في مايكروسوفت إكسل، 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: شرح كيفية التحقق من سلامة وصحة البيانات، شرح كيفية القيام بعملية حذف التكرارات، شرح كيفية الاستفادة من أداة التعبئة السريعة، شرح كيفية تقسيم النصوص إلى أعمدة، شرح كيفية القيام بعمليات فرز البيانات والتصفية بكل أنواعها.
Packt
Building High Performance Teams
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. Learn how to build and sustain high-performance teams that thrive in today’s complex, collaborative work environments. This course provides practical strategies to foster teamwork, motivate individuals, and optimize team dynamics to achieve outstanding results. The course begins with foundational concepts, such as understanding team needs, building collaboration, and recognizing stages of team development. You’ll discover how to implement team values, norms, and behaviors while proactively addressing challenges like underperformance and dysfunctions. As you progress, you’ll gain tools to boost team morale, improve employee engagement, and strike the right balance between control and autonomy. Techniques such as team self-evaluations, Maslow's modern hierarchy, and Lencioni’s dysfunction framework will guide you in enhancing team performance and cohesion. This course is ideal for managers, leaders, and professionals responsible for team success. Whether you’re new to leadership or refining existing skills, you'll find actionable insights to develop strong, motivated teams. No prior leadership experience is required—just a willingness to learn and apply proven methods.
Coursera
Generative AI for Code Completion
Did you know that AI-powered code completion tools can significantly accelerate coding tasks and enhance code quality? This short course was created to help software engineers, developers, and coding enthusiasts use Generative AI for Code Completion. By completing this course, you'll be able to: - Understand the role of AI in code completion. - Gain familiarity with basic and advanced usage of Generative AI tools for coding, such as ChatGPT and GitHub Copilot. - Apply AI-driven code completion tools in real-world coding scenarios to enhance productivity and code quality. By the end of this course, you will be able to: - Apply Large Language Models (LLMs) for both basic and advanced code completion to enhance coding efficiency and accuracy. - Evaluate Generative AI tools to enhance productivity, creativity, and problem-solving capabilities in software development workflows. This course is unique because it bridges AI technology with practical coding skills, equipping you to leverage AI-driven code completion tools effectively. To be successful in this project, you should have basic programming knowledge and familiarity with coding.
Coursera
Data Analysis Using Pyspark
One of the important topics that every data analyst should be familiar with is the distributed data processing technologies. As a data analyst, you should be able to apply different queries to your dataset to extract useful information out of it. but what if your data is so big that working with it on your local machine is not easy to be done. That is when the distributed data processing and Spark Technology will become handy. So in this project, we are going to work with pyspark module in python and we are going to use google colab environment in order to apply some queries to the dataset we have related to lastfm website which is an online music service where users can listen to different songs. This dataset is containing two csv files listening.csv and genre.csv. Also, we will learn how we can visualize our query results using matplotlib.
Google Cloud
Sélectionner une base de données GC pour vos applications
Dans ce cours, vous apprendrez à analyser et à choisir la base de données adaptée à vos besoins, afin de développer efficacement des applications sur Google Cloud. Vous explorerez les bases de données relationnelles et NoSQL, puis Cloud SQL, AlloyDB et Spanner, et vous apprendrez à aligner les atouts des bases de données sur les exigences de vos applications, y compris celles de l'IA générative. Vous découvrirez en pratique comment configurer la recherche vectorielle et migrer des applications vers le cloud.
Alfaisal University | KLD
إتقان فن الإنجاز | Mastering The Art of Achieving
يظن البعض أن المشكلة الأساسية التي تواجه كثيراً من الأفراد تكمن في نقص الموارد المادية، لكن في حقيقة الأمر يعاني جميع الأشخاص في مختلف الأعمار على الصعيدين الشخصي والمهني من ضيق الوقت المتاح للوفاء بالمهام والالتزامات الكثيرة التي تفرضها علينا الحياة اليومية والتعامل الجيد والفعال مع هذه المشكلة يرتبط دائماً بحجم التقدم والإنجاز (Achieving) في تحقيق للمهام والمسؤوليات المطلوبة، لذلك يبقى السؤال الأكثر أهمية هو: هل يمكن التغلب على ندرة الوقت بتنفيذ المهام المتعددة (Multitasking) في الوقت نفسه؟ أم من الأفضل ترتيب الأولويات وتنفيذ مختلف المهام بتتابع هذا الترتيب. 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 فن الإنجاز، 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: التعرف على عوامل النجاح الرئيسية لإتقان فن الإنجاز، فهم الاحتياجات الأساسية لزيادة مستويات الإنجاز، فهم الصفات المميزة للشخص صاحب المهمة الواحدة، شرح مهارة التركيز على شيء واحد وإيجابيات فصل المهام، توضيح مفهوم فن الإنجاز وأهميته.
Coursera
Capstone: Accounting Assistant with AI Skills
Breaking into accounting takes more than bookkeeping knowledge—it takes the ability to demonstrate applied skills, use technology confidently, and present yourself as an operations-ready professional. This course gives you a structured, practical roadmap to do exactly that. You'll build a portfolio of accounting work samples—including a complete accounting cycle demonstration, bank reconciliation, and automated spreadsheet tools—that show employers what you can do, not just what you've studied. You'll also develop a job-ready resume using competency-driven language, craft your LinkedIn profile for accounting roles, and prepare for technical interviews with proven response frameworks for real accounting scenarios. From accounts payable and payroll processing to financial reconciliation and month-end close, you'll practice applying your accounting knowledge in realistic workplace contexts. By the end, you'll have the professional assets, interview confidence, and job search strategy to pursue entry-level accounting positions with clarity and purpose.