The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Google Cloud
Google Cloud의 서비스 조정 및 코레오그래피
This course introduces you to event-based applications and teaches you how to use service orchestration and choreography to coordinate microservices. Using lectures and hands-on labs, you learn how to use Workflows, Eventarc, Cloud Tasks, and Cloud Scheduler to build microservices applications on Google Cloud.
Coursera
Data Entry: Capture and Upload Fast
Data Entry: Capture and Upload Fast is a hands-on, beginner-level course for any professional tasked with entering and managing data in enterprise systems. Inefficient, manual data entry is a direct path to costly errors and operational delays. This course equips you with the two core skills needed to work faster and smarter: keyboard-driven navigation and bulk-data uploading. First, you will move beyond the mouse by memorizing and applying key keyboard shortcuts and internalizing field-validation rules to prevent errors before they happen. Next, you will learn how to transition from single-record entry to high-volume efficiency by using a CSV template to upload an entire product catalogue in a single, verified operation. Through system navigation quizzes and hands-on upload exercises, you will build the speed and accuracy required to become a trusted data steward in your organization.
Skillshare
Music Production & Songwriting: Write Melodies in Any Genre
Led by Future Skills, Music Production & Songwriting: Learn to Write Melodies in Any Genre will equip you with the tools to craft unforgettable melodies and produce professional-quality vocals from start to finish. By the end of this course, you will be able to write compelling melodies across genres, develop expressive instrumental leads, record and comp strong vocal takes, build effective vocal chains, and apply tuning and editing techniques to polish your sound inside Ableton Live. This course is uniquely structured in three parts: first mastering core melody-writing principles, then shaping standout instrumental and vocal performances, and finally refining recordings with professional production techniques. You won’t just learn theory—you’ll actively write, record, edit, and enhance your own melodies through guided projects and real-world workflows. This class is ideal for songwriters, producers, singers, and musicians who want stronger hooks and more confident vocal production. To be successful, you should be comfortable using a computer and have basic familiarity with a DAW such as Ableton Live. Whether you're building your first track or leveling up your sound, this course will help you create melodies that truly resonate.
Google Cloud
Preparing for your Professional Cloud Architect Journey
This course helps learners create a study plan for the PCA (Professional Cloud Architect) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.
Google Cloud
Deploy Kubernetes Load Balancer Service with Terraform
This is a self-paced lab that takes place in the Google Cloud console. In Terraform, a Provider is the logical abstraction of an upstream API. This lab will show you how to setup a Kubernetes cluster and deploy Load Balancer type Nginx service on it.
IBM
Node.js & MongoDB: Developing Back-end Database Applications
Node is the first choice for developing server-side applications as it allows for cross-platform application development. When connected with databases, Node revolutionizes the development of web applications, enabling robust and scalable data manipulation. In this intermediate-level IBM course, you will learn how to construct RESTful APIs using Node.js and the Express framework to communicate with NoSQL databases like MongoDB. You will explore approaches to create endpoints, secure them with web tokens, seamlessly handle errors, debug and deploy applications efficiently. Additionally, the course will help you with optimization techniques, back-end performance, and how to scale these applications to deploy a fully functional cloud-native application on cloud platforms. The course consists of a combination of instructional videos, and assessments to learn the concepts. You will test your knowledge with practice and graded assessments and implement the skills you learn in hands-on labs and a final project so you have artifacts to showcase your knowledge to future potential employers.
Packt
Salesforce Certified AI Associate Certification
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. This course will help you prepare for the Salesforce Certified AI Associate Certification by covering essential AI concepts and tools. By completing this course, you will gain a solid understanding of AI fundamentals, including machine learning, neural networks, and the differences between predictive and generative AI. You'll explore how these AI capabilities are applied within Salesforce, enhancing your ability to use AI effectively in CRM systems. You will begin by learning the foundational aspects of AI, such as its capabilities, types, and ethical considerations. The course covers key AI concepts, including structured and unstructured data, supervised and unsupervised learning, and the workings of neural networks. As you progress, you'll understand the role of AI in Salesforce and how it enhances decision-making and automation. In the second part of the course, you will dive into practical applications of Salesforce AI tools like Einstein Prediction Builder, Einstein Activity Capture, and Einstein Bots. Through hands-on lessons, you will learn to configure, set up, and apply these tools, creating custom AI predictions, syncing data, and improving customer interactions. By the end of this course, you will be well-versed in integrating AI-driven tools into Salesforce workflows. This course is ideal for professionals aiming to specialize in AI within Salesforce CRM. It's suitable for those familiar with Salesforce who want to deepen their understanding of AI technologies and their practical applications. While prior experience with Salesforce is helpful, it's not required. The course is designed for those looking to achieve the Salesforce Certified AI Associate certification.
Packt
Unity Android — Build a 3D ZigZag Racing Game with C#
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. Embark on a journey into game development with this hands-on course that guides you through building a 3D ZigZag racing game for Android using Unity and C#. Starting with the essentials, you'll learn how to install and set up Unity, followed by creating your first game platform and configuring the camera. As you progress, you'll delve into game mechanics, including car movement, platform spawning, and the crucial elements that bring your game to life. The course further explores advanced topics like generating dynamic levels, implementing smooth camera following, and adding engaging user interface elements. You'll also learn how to incorporate audio, special effects, and collectable items to enhance gameplay. By the end of the course, you'll be equipped to publish your game on Android, monetize it through ads, and even explore multiple platforms for distribution. Whether you're a beginner in game development or an experienced coder looking to expand your Unity skills, this course offers a detailed roadmap. You'll gain practical experience with Unity and C#, covering essential scripting techniques and game design principles that ensure your project stands out. The final sections focus on essential C# scripting concepts and the basics of Android game development, ensuring you're ready to create and launch your own games. This course is ideal for beginners in game development and intermediate developers looking to sharpen their skills. A basic understanding of programming is beneficial but not required.
Illinois Tech
Introduction to Time Series
This course introduces basic time series analysis and forecasting methods. Topics include stationary processes, ARMA models, modeling and forecasting using ARMA models, nonstationary and seasonal time series models, state-space models, and forecasting techniques. By the end of this course, students will be able to: - Describe important time series models and their applications in various fields. - Formulate real life problems using time series models. - Use statistical software to estimate models from real data and draw conclusions and develop solutions from the estimated models. - Use visual and numerical diagnostics to assess the soundness of their models. - Communicate the statistical analyses of substantial data sets through explanatory text, tables, and graphs. - Combine and adapt different statistical models to analyze larger and more complex data.
Social Media & Marketing - Jagdish Sheth
Technology has always impacted marketing, especially in areas such as branding, packaging, distribution, and retailing. It has also impacted advertising and promotion. This course focuses on the impact of digital technology on all aspects of marketing including the 4P’s of marketing, word of mouth communication, and market research. It articulates the disruptive impact of social media and user-generated content.
Google Cloud
Block.one: Creating a Multi Node EOSIO Blockchain
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will extend the single node EOSIO blockchain to use multiple nodes. You will install various EOSIO software components to set up your multi node EOSIO blockchain. Finally, you will perform some node operator tasks on your new EOSIO blockchain.
Coursera
Track and Evaluate ML Model Experiments
Track & Evaluate ML Model Experiments is an essential intermediate course for Machine Learning Engineers, Data Scientists, and MLOps practitioners aiming to elevate their process from ad-hoc scripting to a systematic, professional discipline. If you have ever faced the "it worked on my machine" problem or struggled to reproduce a great result from weeks ago, this course will provide you with the foundational MLOps practices to build a truly auditable and collaborative workflow. The primary goal is to empower you to manage the entire experiment lifecycle with confidence, ensuring that every model you build is reproducible, traceable, and ready for the rigors of production. Throughout this course, you will get hands-on with industry-standard tools. You will learn to use Data Version Control (DVC) to version datasets and models with the same rigor you apply to code, creating a single source of truth for your team. You will then instrument training scripts with Weights & Biases (W&B) to automatically log every hyperparameter, metric, and artifact to a centralized, interactive dashboard. Finally, you will master a structured evaluation framework to make defensible model selections, moving beyond a single F1 score to balance predictive performance with critical operational constraints like latency and memory usage. Upon completion, you will have a complete toolkit for managing the ML lifecycle with clarity and precision. For learners interested in applying these MLOps skills to the next frontier, this course serves as a perfect foundation for more advanced topics, such as those covered in the LLM Engineering That Works: Prompting, Tuning & Retrieval course.
University of Colorado Boulder
Asian American History and Identity: An Anti-Racism Toolkit
In this course, students will develop a greater understanding of Asian American history and identities, explore the problematic history of anti-Asian discrimination in the US, and develop skill sets that they can use to address anti-Asian hate and violence in their community. Target learners include students interested in Asian American history and Anti-Racism, but also any learner interested in creating more inclusive communities for AAPI Americans and stopping racism, hate, and violence in their community. Drawing from a diverse range of Asian American experiences, this course will utilize a variety of course-specific and open-source materials and activities that include facilitated conversations, interviews, videos, articles, podcasts, and art to guide the learner through 3 weekly modules. Week 1 focuses on the history of Asian American cultures and identities in the US. Week 2 tightens this lens to examine contextual examples of anti-Asian racism in US history and culture as well as artists, activists, and communities who have actively resisted Anti-Asian violence. Week 3 explores examples of Asian American activism and anti-racism using a humanities-centered approach and encourages learners to think about ways to deploy the skills developed throughout the course in their own communities and lives. During the course, learners will have the opportunity to complete self-guided reflections and responses to course material that will develop their knowledge of anti-racist practices and active bystander intervention. Learners who complete the course will be offered the opportunity to earn a Coursera badge/certificate and all participants will be encouraged to take the knowledge and skills gained from the course into their communities.
University of Virginia Darden School Foundation
Human Excellence in the AI Age, Part 1: A Soft Skills Course
Finding meaningful work and happiness in the AI age depends on you - your ability to learn, unlearn, and re-learn at the pace of technological change. Follow Edward D. Hess, Professor Emeritus of Business Administration at the Darden School of Business, as he lays the groundwork for personal development and exceptional leadership in an era of exponential technological growth. Volatility is the new norm. Technology is becoming faster and smarter than ever before. How can we distinguish ourselves in this new work environment? We must adapt to stay relevant, and according to Hess, we must become highly adaptive learners. Taking ownership of our minds, bodies, egos, emotions, behaviors, listening, and thinking is essential to success and allows us to bring our best selves to work each day. When we bring our best selves to work, we develop caring, trusting relationships with others, optimizing our ability to collaborate and work successfully in teams.
Universidad Nacional Autónoma de México
Gestión del talento humano
El curso aborda la organización desde una perspectiva sistémica en donde todos los elementos interactúan para lograr un resultado productivo. Se enfatiza la importancia de habilidades gerenciales para lograr estos propósitos. Realizarás ejercicios para potencializar tus niveles de inteligencia emocional y comunicación asertiva implicando a tus colaboradores en el desarrollo de estas habilidades. Ésto, con el fin de generar climas laborales en donde la confianza, motivación y respeto sean actitudes cotidianas.
Coursera
Analyze GA4: Fix Your Data
Data tells every digital story—but only if it’s accurate. In this beginner-friendly course, you’ll learn how to use Google Analytics 4 (GA4) to uncover the real insights behind your marketing metrics. You’ll explore the GA4 Explorations workspace to segment traffic, analyze engagement, and detect irregular patterns that reveal where your audience truly comes from. Then, you’ll dig deeper into what makes analytics trustworthy: clean tagging. Through guided demos and hands-on activities, you’ll learn how to audit GA4 tags, confirm events fire correctly, and catch the small errors that cause big reporting distortions. By the end of the course, you’ll know how to interpret user behavior confidently, diagnose data-quality issues, and create reports that inspire trust across your team.