The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Technical University of Munich (TUM)
Space Exploration
The course provides an overview of European activities in the field of astronautical and robotic exploration. In the context of ESA's exploration strategy "Terrae Novae", scientific goals for the exploration of the Moon and Mars, technological challenges, potential commercial opportunities in the field of exploration, as well as physiological aspects of long-term astronautical missions in low Earth orbit and beyond will be considered. The modules of the course cover the following topics: • Introduction to Space Exploration • European Exploration Strategy: TERRAE NOVAE • Earth-Moon Transportation Architectures • ISRU – Enabling sustainable space exploration • Earth`s Moon: the “planet next door” • Current Status of Mars Missions and Research • Commercialisation: ESA approach for stimulating the growth of an in-space economy • Medical Aspects of Long-term Spaceflight
Logical Operations
Microsoft Power Apps: Building Low-Code Business Apps
Creating custom applications for specific business processes has evolved from an emerging trend to a standard practice in many organizations. In the past, if employees had an idea for automating or streamlining a business process, they often had to request that IT resources build the application. Today, it is much more common for employees themselves to become what is sometimes called "citizen developers," who are people with business knowledge who can use app-building tools to create custom business apps. This course introduces building low-code/no-code apps with Microsoft® Power Apps®. Most out-of-the-box solutions do not meet exact business needs or integrate well with existing business apps. Power Apps eases users into app development with templates, automated app-building tools, and a streamlined programming language to enable any business user to create a custom app. This course is designed for skilled users of Microsoft Windows® and Office who do not have prior coding or programming experience and who are interested in creating custom business apps quickly and without writing application code. In this course, you will: determine how Microsoft Power Apps can meet your business needs, plan and design apps, build canvas apps, build model-driven apps, and test and deploy apps. This course requires that you have access to a Microsoft 365 domain with a Power Apps Developer license. The course setup instructions provided in the first module of the course go into more detail about the hardware and software requirements.
Packt
Build Real world End-to-End AI Agents using AWS Bedrock
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. You will learn to build advanced AI agents using AWS Bedrock, a platform for creating generative AI applications. The course introduces key concepts like Retrieval-Augmented Generation (RAG) and function orchestration to enhance AI models with external data. As you progress, you'll gain hands-on experience deploying chatbots, creating knowledge bases, and integrating AWS services like Lambda and DynamoDB.. Throughout the course, you’ll dive deeper into working with multi-agent systems and their applications in real-world scenarios like product inventory management and mortgage processing. By the end, you'll have the skills to build fully functional, scalable AI agents that can interact with complex data sources. This course is perfect for developers with some Python and cloud experience. Knowledge of basic cloud computing concepts is helpful, but no prior experience with AWS Bedrock is required. Ideal for those aiming to create sophisticated AI solutions.
Google
Manajemen Proyek Agile
Ini adalah materi kelima dalam program Sertifikat Manajemen Proyek Google. Materi ini akan mengeksplorasi sejarah, pendekatan, dan filosofi manajemen proyek Agile, serta kerangka kerja Scrum. Anda akan belajar bagaimana membedakan dan memadukan Agile dengan pendekatan manajemen proyek lainnya. Saat Anda menempuh materi ini, Anda akan belajar lebih banyak tentang Scrum, menjelajahi pilar dan nilai-nilainya, serta membandingkan peran tim Scrum yang penting. Anda akan menemukan cara membangun, mengelola, dan memperbaiki product backlog, menerapkan strategi penyelenggaraan berbasis nilai Agile, dan menentukan peta jalan nilai. Anda juga akan mempelajari strategi untuk mengatur secara efektif lima kegiatan Scrum yang penting untuk tim Scrum, memperkenalkan pendekatan Agile atau Scrum ke organisasi, dan melatih tim Agile. Terakhir, Anda akan belajar cara mencari dan mendapatkan peluang di bidang Agile. Manajer proyek Google saat ini akan terus mengajarkan dan memberi Anda pendekatan, alat, dan referensi langsung untuk memenuhi sasaran Anda. Pembelajar yang menyelesaikan program ini seharusnya telah mendapatkan bekal untuk melamar pekerjaan tingkat pemula sebagai manajer proyek. Tidak dibutuhkan pengalaman apa pun. Pada akhir materi ini, Anda akan mampu: - Menjelaskan pendekatan dan filosofi manajemen proyek Agile, termasuk nilai-nilai dan prinsip-prinsipnya. - Menjelaskan pilar-pilar Scrum dan bagaimana pilar-pilar itu menyangga nilai-nilai Scrum. Mengidentifikasi dan membandingkan peran-peran penting dalam tim Scrum dan apa yang membuat peran-peran itu efektif. - Membangun dan mengelola Product Backlog dan melakukan perbaikan pada Backlog. - Menjelaskan lima kegiatan penting Scrum dan cara mempersiapkan setiap kegiatan untuk Tim Scrum. - Menerapkan strategi penyelenggaraan berbasis nilai Agile dan menentukan peta jalan nilai. - Menjelaskan cara melatih tim Agile dan membantu mereka mengatasi tantangan. - Melakukan pencarian lowongan kerja di bidang Agile dan mempelajari cara agar wawancara Anda berhasil.
Codio
Object-Oriented Python: Inheritance and Encapsulation
Code and run your first python program in minutes without installing anything! This course is designed for learners with limited coding experience, providing a solid foundation of not just python, but core Computer Science topics that can be transferred to other languages. The modules in this course cover inheritance, encapsulation, polymorphism, and other object-related topics. Completion of the prior 3 courses in this specialization is recommended. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You'll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to small, approachable coding exercises that take minutes instead of hours.
Coursera
Data Preparation with Alteryx: Automating Analytics
This Guided Project Data Preparation with Alteryx: Automating Analytics is tailored for beginner Alteryx users, who are looking to reduce the time it takes to manually complete their recurring data preparation tasks through an automated alternative. In this 1-hour long project-based course, we will start by exploring the functions and use cases of some of the most commonly used Alteryx tools and familiarizing yourself with the Alteryx interface. Then, we will begin the data preparation process by learning how to bring in the data source(s). From here, we will observe the data, identify which parts need cleaning, and learn how to transform the raw data to fit the business needs (i.e., joining, removing duplicates, fixing data formats, deselecting unnecessary fields, etc.) After we've cleaned the data, we will learn how to output it into a usable form (CSV, Excel, Hyper, etc.) The last step is to publish the workflow onto the Alteryx Server and set a schedule to run this workflow again in the future. This project is unique because it's a step-by-step lesson from start to finish on how to create an automated data preparation workflow to start your Alteryx journey. Learning these steps will give you the fundamental knowledge to explore the many other functions that Alteryx provides, such as analysis building, sending tailored emails, utilizing APIs, and more. Please note, that to be successful in this project, you will need a basic understanding of data, some familiarity with data cleaning, an active Alteryx account, and the Alteryx Designer and Server configured on your machine.
Duke University
Data Engineering with Rust
Are you a data engineer, software developer, or a tech enthusiast with a basic understanding of Rust, seeking to enhance your skills and dive deep into the realm of data engineering with Rust? Or are you a professional from another programming language background, aiming to explore the efficiency, safety, and concurrency features of Rust for data engineering tasks? If so, this course is designed for you. While a fundamental knowledge of Rust is expected, you should ideally be comfortable with the basics of data structures and algorithms, and have a working understanding of databases and data processing. Familiarity with SQL, the command line, and version control with git is advantageous. This four-week course focuses on leveraging Rust to create efficient, safe, and concurrent data processing systems. The journey begins with a deep dive into Rust's data structures and collections, followed by exploring Rust's safety and security features in the context of data engineering. In the subsequent week, you'll explore libraries and tools specific to data engineering like Diesel, async, Polars, and Apache Arrow, and learn to interface with data processing systems, REST, gRPC protocols, and AWS SDK for cloud-based data operations. The final week focuses on designing and implementing full-fledged data processing systems using Rust. By the end of this course, you will be well-equipped to use Rust for handling large-scale data engineering tasks, solving real-world problems with efficiency and speed. The hands-on labs and projects throughout this course will ensure you gain practical experience, putting your knowledge into action. This course is your gateway to mastering data engineering with Rust, preparing you for the next level in your data engineering journey.
Coursera
Advertise your Fundraiser using Canva
By the end of this project, you will know how to use Canva to promote and advertise your fundraiser both digitally and locally. You will have learned how to create a Facebook Post, an event poster and a flyer with the help of Canva. We will both use templates, and create designs from scratch. You will be able to incorporate a color scheme, images, and other design elements for aesthetically pleasing. Creating high quality advertisements is the perfect way to proactively engage with your target audience both digitally and in your local community. This project will include intermediate to advanced level skills using the free version of Canva. 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.
Google
إنشاء إطارات شبكية ونماذج أوّلية منخفضة الدقة
"إنشاء الإطارات الشبكية والنماذج الأوّلية منخفضة الدقة" هي الدورة الثالثة في برنامج الشهادة التي ستزودك بالمهارات التي تحتاجها للتقدم لوظائف المبتدئين في تصميم تجربة المستخدم (UX). في هذه الدورة التدريبية، ستستمر في تصميم تطبيق جوال لملفك الشخصي الاحترافي لتجربة المستخدم. ستبدأ بإنشاء مخططات القصة والتعرف على أساسيات الرسم. بعد ذلك، ستقوم بإنشاء إطارات شبكية ورقية وإطارات شبكية رقمية باستخدام أداة التصميم Figma. ستقوم أيضًا بإنشاء نموذج أوّلي ورقي ونموذج أوّلي رقمي منخفض الدقة في Figma. سيعمل مصممو تجربة المستخدم والباحثون الحاليون في Google كمدربين لك، وستكمل الأنشطة العملية التي تحاكي سيناريوهات تصميم تجربة المستخدم في العالم الحقيقي. يجب أن يكون المتعلمون الذين يكملون الدورات السبع في برنامج الشهادة مؤهلين للتقدم بطلب للحصول على وظائف مصممي تجربة المستخدم المبتدئين. بنهاية هذه الدورة، ستكون قادرًا على: - إعداد بيان هدف. - إنشاء نوعين من مخططات القصة: صورة كبيرة ومقرّبة. - فهم الفرق بين التصميم منخفض الدقة وعالي الدقة. - تطبيق أساسيات الرسم. - تطبيق مبادئ بنية المعلومات لتنظيم تطبيقات الهاتف المحمول. - إنشاء إطارات شبكية ورقية لتصميم تطبيقات الأجهزة المحمولة. - إعداد إطارات شبكية رقمية في أداة التصميم Figma. - بناء نموذج أوّلي ورقي لإضافة التفاعلية للتصميمات. - تصميم نموذج أوّلي منخفض الدقة في Figma. - التعرف على التحيز الضمني والأنماط الخادعة في التصميم. - استمر في تصميم تطبيق جوال لتضمينه في ملفك الشخصي المهني. لتكون ناجحًا في هذه الدورة، يجب عليك إكمال الدورتين السابقتين في برنامج الشهادة هذا، أو أن يكون لديك القدرة على إجراء بحث المستخدم للإبلاغ عن إنشاء خرائط التعاطف، والشخصيات، وقصص المستخدم، وخرائط رحلة المستخدم، وبيانات المشكلات، وعروض القيمة. ستحتاج أيضًا إلى ورق وقلم حبر أو قلم رصاص.
MathWorks
Introduction to MATLAB Copilot
MATLAB Copilot is a new AI-powered assistive tool that helps you enhance your coding efficiency, without the need for advanced prompt engineering. Designed for engineering and science professionals and students, this course explores practical applications of Generative AI in real-world contexts. You will use MATLAB Copilot to generate code explanations, uncover new insights, create and refine code drafts, add meaningful comments, and combine multiple assistive tools for a comprehensive approach to coding. Throughout the course, you'll get practical experience with guided activities and a hands-on project. By the end of the course, you'll confidently integrate generative AI features into your daily work to reduce coding and troubleshooting time, quickly find enhancements to code, and develop deeper trust in the code you develop. You will use MATLAB throughout this course. MATLAB is the go-to choice for millions of people working in engineering and science, and provides the capabilities you need to accomplish your coding tasks. You will be provided free access to MATLAB for the course duration to complete your work. Enroll today to stay ahead as AI transforms the engineering landscape.
University of California, Davis
Cross-Cultural Communication and Management
Communication is much more than the words you say. And cultural communication is much more than just the language you speak. What you say is never interpreted exactly as you meant it and what you hear is never what was meant by what was said. When you mix in the differences of how different cultures draw lines between social interactions and work interactions, give and receive feedback, and engage in and resolve conflict, the barrier to understanding can feel impossible to overcome. You will learn how to recognize your own communication style and how it is being perceived in ways you never intended. From there, we will explore how to successfully integrate multiple cultural norms into your communications and to create a brand new language unique to your team. Before you know it, on the strength of your multinational cultures, your team will be the model to which less diverse teams aspire. We can’t wait to communicate with you!
Coursera
Engage HR Stakeholders
Great analytics mean nothing if no one uses them. This course teaches you to engage stakeholders strategically and drive adoption of HR analytics initiatives. You'll apply your understanding of why engagement determines success, apply the influence-interest grid to prioritize your efforts, and use AI to draft communication plans. By the end, you'll turn skeptics into supporters and ensure your analytics work drives real organizational change.
EDUCBA
Houdini Destruction: Build, Fracture & Simulate
By the end of this course, learners will design, fracture, simulate, and finalize cinematic destruction sequences in Houdini. They will master key skills such as breaking geometry with SOP tools, generating advanced Voronoi and VDB fractures, optimizing destruction through packed and proxy geometry, controlling simulations with DOP Networks, and applying realistic constraints like hard, glue, and cone twist setups. Learners will also simulate secondary debris and integrate Pyro FX for smoke, fire, and explosive effects, creating production-ready destruction shots. This course is designed to provide a step-by-step production-based approach, moving beyond simple demonstrations to industry-level workflows. Each module focuses on practical problem-solving, from refining fracture realism to troubleshooting orientation issues in constraints. Learners will benefit from hands-on projects that replicate real-world visual effects pipelines, gaining the confidence to build destruction systems for film, games, and animation. What makes this course unique is its comprehensive coverage of both geometry preparation and simulation workflows, ensuring learners not only understand the “how” but also the “why” behind every technique in procedural destruction.
Adobe
Generative AI for Graphic Designers
Generative AI is changing the way designers work—turning ideas into visuals faster than ever. In this course, you’ll learn how to use Adobe Illustrator’s AI-powered features to generate artwork, recolor designs, and create patterns directly from text prompts. You’ll start by generating your first vector graphics and understanding how prompts shape creative output. Then, you’ll refine prompts to create custom patterns and explore how AI can assist with recoloring artwork and developing new design variations. Throughout the course, you’ll gain insight into how AI fits within a designer’s creative process, expanding your ideas, saving time, and enhancing originality. By the end, you’ll know how to confidently integrate AI tools into your Illustrator workflow to generate, adjust, and polish professional design projects that reflect both human creativity and machine innovation.
Anthropic
Introduction to Model Context Protocol
In this course, you'll discover how to build powerful AI applications using the Model Context Protocol, a revolutionary approach that eliminates tedious integration code when connecting Claude to external services and data sources. This course takes you from understanding MCP's core architecture to building fully functional MCP servers and clients that can interact with real-world systems. You'll learn the three essential MCP primitives - tools, resources, and prompts - and understand when to use each one. Through hands-on implementation, you'll create your own MCP server with the Python SDK, defining tools that Claude can call autonomously, resources that provide data to your applications, and prompts that deliver professionally crafted workflows to end users. By building both client and server components, you'll gain complete insight into how MCP enables seamless communication between AI models and external services. You'll work with the MCP Inspector to test your implementations, understand transport protocols, and see exactly how messages flow through the entire system. Whether you're building GitHub integrations, document management systems, or custom AI workflows, this course gives you the practical skills to leverage MCP's standardized approach and dramatically reduce your development burden.
Banco Interamericano de Desarrollo
Data for Effective Policy Making
In this age of information, data is available everywhere and grows at an exponential rate. How can we make sense of all this data? How do we take advantage of data when making decisions? How do we use data to help us guide the management and planning of our policies? Whether you're a citizen or a policymaker, learning the answers to these questions can benefit you greatly. In this course, you will strengthen your ability to use, understand and interpret data and gain the tools to navigate data, perform and interpret visualizations, and understand the different types of data analysis according to the policy to be implemented. Relax, it's not a statistics course! However, you will acquire the knowledge necessary to interpret graphs, statistical reports and understand their language. And, most importantly, you will acquire the foundations to be able to base your decisions on verifiable data, beyond intuition.