The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Packt
Advanced Asset Creation and Unreal Engine Integration
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 advanced course takes you deep into asset creation, focusing on complex 3D modeling and how to integrate these assets into Unreal Engine 5. Starting in Blender, you’ll model intricate props such as ornamental torches, modular walls, and unique environmental elements. You’ll explore advanced techniques like using emissive maps, setting up animated torch flames, and optimizing lighting for realism. Through step-by-step lessons, you’ll create and refine your assets with proper UV unwrapping, node-based material setups, and flicker lighting effects to bring them to life. Once your assets are built, the course shifts to Unreal Engine 5, where you’ll learn to import and organize your modular designs. You’ll create dynamic environments with complex features like lava flows, sewer systems, and interactive dungeon rooms. The course emphasizes how to set up materials for realistic rendering, manage collisions, and build out entire levels using your Blender assets. Additionally, you’ll dive into PBR material setup, emissive materials for torches, and camera work for optimal renders. By the end, you’ll have the skills to create fully realized, game-ready environments using Blender and Unreal Engine 5. This course is perfect for 3D artists and game developers looking to expand their technical expertise in asset creation and environment design. This course is ideal for intermediate to advanced 3D artists and game developers who want to refine their asset creation skills and seamlessly integrate assets into Unreal Engine 5. A basic understanding of Blender and Unreal Engine is recommended.
Coursera
ChatGPT for Beginners: Using AI for Market Research
Ever wondered how artificial intelligence can revolutionize market research? Imagine being able to effortlessly create surveys, polls, and multilingual content for your market research using advanced AI especially tools like ChatGPT. This Guided Project was created to help marketers, business professionals, and researchers accomplish a seamless integration of ChatGPT into their market research toolkit. more specifically, in this 1-hour long project-based course, you will learn how to: • Understand the core features of the ChatGPT platform and navigate its interface effectively. • Utilize ChatGPT to create surveys, polls, and other artifacts for both primary and secondary market research. • Harness the power of ChatGPT for translating market research text and collaterals into multiple languages. • Leverage ChatGPT for content writing and digital marketing as integral components of your market research strategy. To achieve this, you will create Market Research Artifacts for a Pharmaceutical Drug by using ChatGPT This project is unique because traditional market researchers spend endless hours developing artifacts most of which can be automated and augmented with Market Researchers working with ChatGPT. In order to be successful in this project, some background in market research could be useful but is not required.
Google Cloud
Google Cloud Fundamentals: Core Infrastructure 한국어
Google Cloud 기초: 핵심 인프라 과정은 Google Cloud 사용에 관한 중요한 개념 및 용어를 소개합니다. 이 과정에서는 동영상 및 실무형 실습을 통해 중요한 리소스 및 정책 관리 도구와 함께 Google Cloud의 다양한 컴퓨팅 및 스토리지 서비스를 살펴보고 비교합니다.
CONTEXT University [Testing]
The Coursera Mission
This course is about Coursera's mission.
American Psychological Association
What is Qualitative Research?
This is primarily aimed at first- and second-year undergraduates interested in psychology, data analysis, and qualitative research methods along with high school students and professionals with similar interests. This introduction to qualitative research in psychology provides an in-depth exploration of individuals' lived experiences through methods like interviews and observations. It delves into the historical, philosophical, and cross-disciplinary foundations of qualitative research, illustrating these foundations with a variety of examples, activities, and self-assessments. The course aims to foster an understanding of how qualitative inquiry adds depth and nuance to our comprehension of individual and collective human experiences. It addresses the common critiques of qualitative research and introduces the four trustworthiness criteria that researchers use in evaluating the soundness of a given qualitative study. The course also emphasizes the role of the researcher and the close relationships between the inquirer and participants in qualitative studies.
Packt
Learn Bits and Bytes of Raspberry Pi & IoT using Node-RED
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. In this comprehensive course, you’ll dive into the world of Raspberry Pi and IoT, learning to leverage Node-RED for building and deploying IoT solutions. You’ll gain hands-on experience in interfacing sensors, controlling relays, and creating interactive flows that integrate hardware and software seamlessly. By understanding Raspberry Pi fundamentals and learning to work with Node-RED, you’ll be able to design robust IoT systems that can collect and analyze real-time data. The journey begins with the installation and setup of Node-RED on Windows, followed by an introduction to the Raspberry Pi hardware and software. You’ll explore how to interface with LEDs, relays, and sensors such as SenseHAT and DHT11/DHT22, using Node-RED for processing and managing data. Additionally, you’ll gain insights into cloud platforms like ThingSpeak and MQTT to transmit data remotely. This course also covers the essentials of automating and monitoring devices using real-world tools like Adafruit IO. This course is ideal for beginners interested in IoT and Raspberry Pi. No prior experience in programming or electronics is required. If you’re curious about creating interactive hardware projects or automating IoT systems, this course will give you the foundational knowledge to build your own smart devices. By the end of the course, you will be able to set up and configure Raspberry Pi hardware, integrate various sensors using Node-RED, and build IoT solutions that connect to cloud services and MQTT brokers for remote monitoring and control.
Tecnológico de Monterrey
Desarrollo rápido de productos innovadores para mercados emergentes
El objetivo del curso es aprender el proceso para el Desarrollo Rápido de Productos Innovadores para mercados emergentes a través de la aplicación de 3 fases. Las fases que abordaremos en el curso son: 1) Imaginación (Divergencia): a través de esta fase desarrollaremos un pensamiento creativo y crítico por medio de la exploración de una diversidad de opiniones en cuanto a diferentes megatendencias sociales, tecnológicas y de consumo. También utilizaremos una herramienta conocida como “Un día en la vida de …” para identificar áreas de oportunidad para mejorar productos existentes o imaginar como nuevos productos con tecnologías de vanguardia pueden apoyar a la personar en su vida diaria. 2) Conceptualización (Estructuración): esta fase se enfocará en dar disposición y orden a nuestras ideas creativas para el desarrollo de productos innovadores centrados en las necesidades latentes y crecientes del consumidor. Aprenderemos y pondremos en práctica un conjunto de herramientas a continuación mencionadas como: tareas a realizar, expectativas esperadas, matriz de necesidades y satisfactores, perfil del consumidor y etnografía. 3) Diseño (Convergencia): En esta fase trabajaremos en confluir por medio de herramientas tales como la matriz morfológica, el story-board y el desarrollo de prototipos rápidos en una solución, es decir en un nuevo producto y/o servicio innovador, las capacidades de diversas tecnologías para dar vida a aquellas funcionalidades y atributos necesarios y esperados por nuestro consumidor. Recordemos siempre que la diferencia entre una invención y una innovación no radica del todo en el grado de novedosidad, sino en la aceptación de dicho producto y/o servicio innovador demostrada a través de su adquisición/compra por el consumidor/mercado meta.
CertNexus
Turn Ethical Frameworks into Actionable Steps
Ethical principles build a strong foundation for driving ethical technologies. Principles alone can be elusive and impractical for application. Ethical frameworks based upon these principles provide a structure to guide technologists when implementing data-driven solutions. However, ethical frameworks, along with standards and regulations, can make compliance tasks more complex, and they can also raise the tension between ethical duties and business practicalities. An approach is needed to reconcile these issues. This second course within the Certified Ethical Emerging Technologist (CEET) professional certificate is designed for learners seeking to analyze ethical frameworks, regulations, standards, and best practices and integrate them into data-driven solutions. Students will become familiar with frameworks and the common ethical principles they are based upon and how they can be applied across a variety of ethically driven dilemmas. You will learn applicable regulations and best practices established across global organizations and governments and how to navigate the integration of these standards in the context of business needs. This course is the second of five courses within the Certified Ethical Emerging Technologist (CEET) professional certificate. The preceding course is titled Promote the Ethical Use of Data-Driven Technologies.
University of California San Diego
Design Thinking and Predictive Analytics for Data Products
This is the second course in the four-course specialization Python Data Products for Predictive Analytics, building on the data processing covered in Course 1 and introducing the basics of designing predictive models in Python. In this course, you will understand the fundamental concepts of statistical learning and learn various methods of building predictive models. At each step in the specialization, you will gain hands-on experience in data manipulation and building your skills, eventually culminating in a capstone project encompassing all the concepts taught in the specialization.
EDUCBA
3DS Max UV Unwrapping: Analyze, Create & Render
By the end of this course, learners will be able to analyze facial UV distortions, create optimized UV shells for body and clothing, unwrap complex elements like hands and shoes with precision, and design cinematic-quality renders using professional camera and lighting setups. This comprehensive training is designed for 3D artists who want to elevate their texturing skills in Autodesk 3DS Max. Through structured modules and step-by-step lessons, students will not only practice essential unwrapping techniques but also apply industry-standard workflows that ensure clean, distortion-free textures. From mastering face and torso layouts to refining intricate hand UVs, each stage of the course builds toward a professional portfolio-ready project. What makes this course unique is its balance of technical depth and practical application. Instead of abstract theory, learners work directly on character modeling tasks inspired by production pipelines. With a focus on Bloom’s Taxonomy skills—analyze, create, demonstrate, and design—students will gain confidence in both problem-solving and presentation. Completing this course means acquiring a powerful, transferable skill set that enhances both artistic quality and employability in the 3D industry.
Board Infinity
Building Applications with DeepSeek
Want to build smarter applications faster? This hands-on course will teach you how to develop, integrate, and scale AI-powered solutions using DeepSeek. With tools like VS Code, Cursor, and DeepSeek APIs, you'll gain practical skills to streamline code generation, testing, documentation, and agent-based workflows—no prior AI experience required. In the first module, you'll get introduced to DeepSeek’s capabilities, setup options, and developer benefits, including how to run it via API or locally. The second module explores how to apply DeepSeek across the software development lifecycle—from generating code and writing tests to automating CI/CD tasks. In the final module, you'll build smart applications using RAG pipelines, embeddings, and AI agents, and finish with a checklist for production readiness. By the end, you will: -Build AI-powered applications using DeepSeek’s API, local setup, and developer tools for real-world software solutions. -Create intelligent agents and bots using embeddings, RAG pipelines, and task-based automation workflows. -Apply DeepSeek across the software development lifecycle to generate code, fix errors, and enhance test coverage. This course is ideal for: -Developers exploring AI tools for real-world application -Backend engineers looking to automate workflows -Technical leads or devs building smart features into apps -Anyone curious about practical uses of AI in software development Get ready to supercharge your development process with DeepSeek—one line of smart code at a time. Disclaimer: This course is an independent educational resource developed by Board Infinity and is not affiliated with, endorsed by, sponsored by, or officially associated with Deepseek or any of its subsidiaries or affiliates. This course is not an official preparation material of deepsek. All trademarks, service marks, and company names mentioned are the property of their respective owners and are used for identification purposes only.
Coursera
Apply SOLID Design to Optimize Java ML
"Tired of ""God Classes"" and spaghetti code in your Java ML projects? This course, ""Enhance Java ML Design with SOLID Principles,"" is for senior developers and architects ready to build resilient software. The secret to reliable systems is accepting that requirements always evolve. Master the S.O.L.I.D. principles to write code that embraces future changes with minimal impact. This course is designed for senior Java developers and architects with at least 6 months of hands-on experience in Java programming and basic knowledge of machine learning. If you're ready to tackle "God Classes" and spaghetti code, and want to optimize your Java ML projects with SOLID principles for scalability, maintainability, and flexibility, this course is for you. To get the most out of this course, learners should have at least 6 months of hands-on experience with Java programming, including a solid understanding of object-oriented programming (OOP) concepts such as classes, interfaces, and abstract classes. Additionally, a basic knowledge of machine learning (ML) concepts is essential to fully grasp how to apply SOLID principles to Java ML projects. By the end of this course, you’ve unlocked the power of SOLID principles to create flexible, scalable, and maintainable Java ML systems. You now have the tools to refactor messy code, design modular components, and evaluate trade-offs between performance and design. With your newfound expertise in SOLID, Maven, Gradle, and best practices, you're ready to build production-ready machine learning applications that can evolve with ease. Keep applying these principles, and your code will become more reliable and adaptable with every project. Best of luck as you continue to level up your skills in Java and machine learning!
Google Cloud
AI Infrastructure: Cloud TPUs
Welcome to the Cloud TPUs course. We'll explore the advantages and disadvantages of TPUs in various scenarios and compare different TPU accelerators to help you choose the right fit. You'll learn strategies to maximize performance and efficiency for your AI models and understand the significance of GPU/TPU interoperability for flexible machine learning workflows. Through engaging content and practical demos, we'll guide you step-by-step in leveraging TPUs effectively.
University of Colorado Boulder
Communication as a Technical Leader
An engineering leader spends a majority of their day interacting with others. Indeed, studies repeatedly point to the impact communication skills have on the ability of managerial leaders to succeed or fail. Too often, individuals move into managerial leadership roles without an awareness of the need to improve in this area. This course focuses on interpersonal skills such as listening, counseling, non-verbals, mentoring, coaching, building trust, and providing feedback. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Utrecht University
Understanding child development: from synapse to society
In this course, we dive into the topic of child development. You will learn that child development is complex and is influenced by a surprisingly rich number of factors at many different levels of organization. You will see that development can be studied in various domains and at various levels of understanding, from different angles and disciplines. Importantly, you will come to understand that processes within and between the various domains and levels of organization continuously interact to shape development. This implies that understanding development requires taking an interdisciplinary approach. In order to help you organize your thinking about this complexity you will learn more about the developmental systems approach and theories related to that. We will look, amongst other things, at the brain and motor development, cognitive, language and social-emotional development and all the factors that have an influence on development. To illustrate how an interdisciplinary approach helps to understand child development you will see how researchers from various disciplines and backgrounds study child development at Utrecht University. These scientists will give a look in their field of knowledge and their collaboration with colleagues, to illustrate how the theory you will learn translates to practice. In sum, we invite you to follow us on a journey to understand child development from synapse to society!
AI CERTs
Modern Game Design Mastery with AI
The future of gaming goes beyond visuals—it's powered by intelligent systems that adapt, learn, and elevate player experiences. Modern Game Design Mastery with AI is a specialized program designed for developers, designers, and creators who want to build next-generation AI-driven games. The learning journey is structured into three progressive pathways: AI Foundations for Gaming – core AI concepts, game mechanics, behavior systems & pathfinding Applied AI in Game Design – machine learning, procedural content generation, reinforcement learning & adaptive gameplay Advanced Game Intelligence & Real-World Simulation – advanced algorithms, 2D/3D agent design, and dynamic difficulty systems Through hands-on labs, guided simulations, and case studies from games like Zelda, Minecraft, and StarCraft, participants gain practical skills in building smart NPCs, training AI agents, designing adaptive challenges, and integrating AI within popular game engines like Unity. If you’re ready to create games that think, evolve, and respond like never before—this program is your gateway.