The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
UNSW Sydney (The University of New South Wales)
Transmedia Storytelling: Narrative worlds, emerging technologies, and global audiences
Transmedia storytelling is the practice of designing, sharing, and participating in a cohesive story experience across multiple traditional and digital delivery platforms - for entertainment, advertising and marketing, or social change. Have you ever read a book, seen a movie, watched a television show, or played a game that centred around different aspects of a larger story or universe? You may be familiar with popular examples of such universes like Star Wars, Marvel, and The Walking Dead (to name a few). How do the professionals develop such expansive narratives? How do they ensure that each element stays true to the original story? How do they innovatively use different technologies to share the stories, grow audiences and create an active and involved community of fans? More and more, we are also engaging with elements or franchises of larger and more complex stories across a much more diverse range of platforms like interactive web experiences, social media communities, mobile devices, theme parks, and even augmented and virtual reality. A major challenge that current and future storytellers face is being able to engage different audiences in a story that is seamlessly told across all of these different platforms. WHAT WILL I LEARN? This course will help you to design a strategy for developing and telling your own transmedia story. You will learn about what it takes to: • Shape your ideas into compelling and well structured narratives and complex story worlds • Identify, understand, and engage different audiences in your stories • Create cohesive user experiences across different platforms • Evaluate existing and emerging technologies to share your story with the world, and help your audience participate in the larger storyworld you create The course provides you with a unique, authentic, and industry relevant learning opportunity. You will have access to current theory, industry examples and advice and undertake learning activities that will equip you with the tools you need to start developing your own ideas. WHO WILL MY INSTRUCTORS BE? You will learn effective transmedia design strategies from leading UNSW Australia Art & Design academics. You will also examine case studies that demonstrate how amazing ideas, technology and audience contributions can be brought together to create dynamic storyworlds. You'll see examples of major, successful transmedia storytelling projects involving movies, digital entertainment, gaming, virtual reality and more. In collaboration with our industry partner X Media Lab, the course will give you inside access to the personal stories, insight and advice of the following innovative transmedia storytelling professionals from Hollywood USA, Canada and Australia. • Susan Bonds, 42 Entertainment, Los Angeles, USA • Flint Dille, Screenwriter, Game Designer and Novelist, Los Angeles, USA • Cindi Drennan, Illuminart, Australia • Tom Ellard, UNSW Art & Design, Sydney, Australia • Catherine Fargher, Dr Egg Digital, Sydney, Australia • Hal Hefner, 3AM Creative, USA • Brian Seth Hurst, StoryTech, Los Angeles, USA • Henry Jenkins, School for Communication and Journalism, University of Southern California, USA • Mikey Leung, Digital Storytellers, Sydney, Australia • Alex Lieu, 42 Entertainment, Los Angeles, USA • Geoffrey Long, Annenberg Innovation Lab, University of Southern California, USA • John McGhee, UNSW Art & Design, Sydney, Australia • Joseph Narai, Transmedia Entertainment, Sydney, Australia • Jeff Nicholas, The Uprising Creative, Los Angeles, USA • Sergio Paez, Graphic Artist working in animation, TV, video games, and film. Co Founder, StoryboardArt, California, USA • Steve Peters, No Mimes Media, Los Angeles, USA • Stuart Samuels, Stuart Samuels Productions, Toronto, Canada • Charles Santoso, Concept Artist, Sydney, Australia • Seth Shapiro, New Amsterdam Media, Los Angeles, USA • Scott Snibbe, Eyegroove, San Francisco, USA • Tracey Taylor, The Pulse, Sydney, Australia • Robert Tercek, Public Speaker, Digital Media Strategist, and Executive Leader for Creative Ventures and Business Innovation, • University of Southern California, USA • Kevin Williams, Founder & Director of KWP Ltd and DNA Association, UK • Brent Young, Super 78, Los Angeles, USA • Maya Zuckerman, Transmedia SF, San Francisco, USA COURSE CONTENT DEVELOPMENT Karin Watson, Iman Irannejad, and Dr. Simon McIntyre.
EDUCBA
Personality Development: Analyze & Grow Effectively
By the end of this course, learners will be able to define the foundations of personality development, analyze the building blocks of identity, evaluate complex psychological and social influences, and apply structured frameworks to enhance personal and professional growth. This comprehensive program equips learners with the skills to understand personality from multiple dimensions—structural, social, intellectual, psychological, and biological. Participants will explore topics such as the Personality Enigma, Architectural Matrix, Narcissistic Complements, Influencer Matrices, Familial Ethos, Psychological Determinants, Somatic Complex, and Assessment Ethos. Each lesson blends conceptual clarity with practical insights, ensuring learners can connect theory to real-life application. What makes this course unique is its holistic approach, integrating heredity, environment, social acceptance, and intellectual edifice into a unified framework. Unlike standard personality courses, this one emphasizes critical analysis, emotional intelligence, and transformation through carefully structured modules. Learners who complete this course will gain not only a deeper understanding of personality frameworks but also the ability to critique, shape, and transform their own persona—building confidence, resilience, and social adaptability.
DeepLearning.AI
ChatGPT Prompt Engineering for Developers
Go beyond the chat box. Use API access to leverage LLMs into your own applications, and learn to build a custom chatbot. In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications. Using the OpenAI API, you’ll be able to quickly build capabilities that learn to innovate and create value in ways that were cost-prohibitive, highly technical, or simply impossible before now. This short course taught by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI) will describe how LLMs work, provide best practices for prompt engineering, and show how LLM APIs can be used in applications for a variety of tasks, including: - Summarizing (e.g., summarizing user reviews for brevity) - Inferring (e.g., sentiment classification, topic extraction) - Transforming text (e.g., translation, spelling & grammar correction) - Expanding (e.g., automatically writing emails) In addition, you’ll learn two key principles for writing effective prompts, how to systematically engineer good prompts, and also learn to build a custom chatbot. All concepts are illustrated with numerous examples, which you can play with directly in our Jupyter notebook environment to get hands-on experience with prompt engineering
Coursera
Comercialice su nuevo negocio con Canva
Al final de este proyecto, usted habrá aprendido a comercializar y anunciar su nuevo negocio usando Canva. Usted creará un logotipo de la empresa, una tarjeta de presentación y un folleto usando Canva. Crearemos diseños desde cero y usaremos plantillas que modificaremos. Usted podrá incorporar un esquema de color , imágenes, y otros elementos de diseño estético. En este proyecto usaremos la versión gratis de Canva. Nota: Este curso es de mayor utilidad para estudiantes que residen en la región de América del Norte. Actualmente, estamos trabajando para proporcionar la misma experiencia en otras regiones.
Northeastern University
Data Analytics Engineering: Probability & Techniques
This course offers students an opportunity to learn fundamentals of computation required to understand and analyze real world data. The course helps students to work with modern data structures, apply data cleaning and data wrangling operations. The course covers conceptual and practical applications of probability and distribution, cluster analysis, text analysis and time series analysis.
University of Colorado System
Emergency Care: Pregnancy, Infants, and Children
Welcome to the final course of lectures in your quest to master EMT basics. In this course, we will cover some of the highest-stress patient populations: pregnant patients and kids, also known as pediatrics. To wrap up your EMT knowledge we will end this course with information about hazmat situations, extricating patients from tight spots and finally how you write a note about your patient care. You will learn to ensure it communicates what your assessment of the patient was, what interventions you performed and why you did them. You will build on your knowledge of anatomy, patient assessment and scene safety to develop an approach to these new patient populations. We will walk through the things that make pregnant patients and pediatric patients different but also what makes them the same as all the patients you care for. Prepare yourself for some noisy kids, some uncomfortable moms and hopefully a lot of fun learning new things.
Johns Hopkins University
Data Science Capstone
The capstone project class will allow students to create a usable/public data product that can be used to show your skills to potential employers. Projects will be drawn from real-world problems and will be conducted with industry, government, and academic partners.
University of Illinois Urbana-Champaign
3D Printing Hardware
This course will provide an in-depth exploration of desktop 3D printing hardware. It will examine the history of desktop 3D printing and demonstrate how 3D printers are made and how they work. This course will also provide step-by-step instructions for how to use and repair a 3D printer. It will also explore the different types of materials that can be 3D printed and will demonstrate how you can create various objects using these tools and materials. Learners who complete this course will be able to successfully operate, repair, and upgrade a 3D printer. In addition, learners who enroll in the course certificate will be able to purchase a desktop 3D printer at a discounted price (provided by Ultimaker). If you enjoy this business course and are interested in an MBA, consider applying to the iMBA, a flexible, fully-accredited online MBA at an incredibly competitive price offered by the University of Illinois. For more information, please see the Resource page in this course and onlinemba.illinois.edu.
Duke University
How to Prioritize ESG Initiatives
This course introduces participants to ESG materiality and provides the tools needed to prioritize impactful initiatives. Learners will explore the concept of materiality, understand its significance in ESG practices, and gain practical skills to conduct Materiality Assessment Matrices. With a focus on asking the right questions and using essential tools, this course equips professionals to align ESG initiatives with organizational goals and drive meaningful outcomes.
Salesforce
Boosting Productivity through the Tech Stack
This is Course 4 in the Salesforce Sales Development Representative Professional Certificate. In order to successfully complete the course, please ensure you have taken Course 1: Groundwork for Success in Sales Development, Course 2: Foundations for Interviewing with Confidence, and 3: Conversational Selling Playbook for SDRs. This course demonstrates how to enhance productivity by implementing tech tools that streamline your SDR workflow. You’ll be introduced to a variety of best-in-class sales software that will help you achieve the most optimal results — every time. By the end of the course, you’ll feel confident in formulating bulletproof outreach strategies in order to engage with prospective customers. Course 4 in the Sales Development Representative (SDR) Professional Certificate will give you the necessary skills to launch a career in the non-technical side of the tech industry. By the end of the course, you will be able to: - Examine and navigate the tech stack and stay up-to-date on the latest tech tools used in the tech sales workforce - Understand the basic principles of customer relation management (CRM) tools and how to use them effectively as part of your workflow - Use sales intelligence tools to find prospects and optimize your workflow - Formulate bulletproof outreach strategies to engage with prospective customers - Apply the power of social media and video to find and connect with prospects To be successful in this course, you should have: - An ability to communicate in verbal and written form in a way that is accessible and understandable by a general audience (you don’t need to be formal or refined) - Baseline computer literacy (you must be able to use a word processor, web search, and email) - Familiarity with social media, including LinkedIn - Ability and willingness to learn new technology tools - Motivation to grow personally and professionally - Hunger for feedback and coaching - Successfully completed the previous courses in this training
Siemens
Expedite – Skills for Industry: Future of Industry
Future of Industry is the fourth course in the Siemens Expedite – Skills for Industry microcredential. It examines how artificial intelligence (AI) and digital transformation both shape innovation and support sustainability practices. Participants learn the importance of integrating digital tools into their workflows, collaborating across global teams, and applying AI responsibly. With a focus on technologies such as immersive engineering and ethical AI deployment, alongside sustainability practices, this course equips learners with the skills and knowledge to lead and adapt in the increasingly interconnected world of the future.
Coursera
Deploy & Evaluate Vision Models Effectively
In this hands-on course, you’ll learn how to move computer vision models from notebooks to the real world. You’ll build an end-to-end inference pipeline, package it into a reproducible API, and evaluate its performance using precision, recall, and mean Average Precision (mAP). You’ll also practice diagnosing errors, segmenting results by condition, and communicating insights like a professional MLOps engineer. By the end, you’ll be ready to deploy, evaluate, and iteratively improve vision models that teams can trust.
Coursera
Design Flawless A/B Tests: Uncover Insights
Zero-Shot & Few-Shot Learning is an intermediate-level course designed for data scientists, ML engineers, and AI practitioners who want to build models that perform well—even when labeled data is limited. Traditional supervised learning breaks down when examples are scarce or tasks are constantly evolving. This course shows you how to solve that problem using cutting-edge zero-shot and few-shot learning techniques. You'll learn how to apply pre trained models, semantic embeddings, and transfer learning to generalize across tasks without retraining from scratch. Through case-driven videos, hands-on labs, and decision-focused projects, you'll explore tools like prompt engineering, prototypical networks, and contrastive learning. Along the way, you'll build and defend full pipelines tailored to real-world constraints—choosing the right method based on data availability, task requirements, and deployment goals. Whether you're diagnosing fraud with few samples or classifying new product types without labels, this course will equip you to build smarter, leaner models that learn more with less.
Packt
Advanced Git and GitHub Practices
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 offers an extensive exploration of advanced DevOps tools and practices, designed for technical professionals aiming to streamline their workflows and improve software quality. You’ll begin with an introduction to SonarQube, learning its installation process and integration with Jenkins. Next, delve into Ansible to master playbooks, roles, and the automation of complex deployments. The course continues with Docker, where you’ll understand containerization, Docker Compose, and Swarm. Progressing further, you’ll explore Kubernetes, starting from basic concepts to complex configurations, including the creation of clusters, managing Kubernetes objects, and utilizing Helm charts. You’ll also learn how to implement CI/CD pipelines, scale applications, and monitor performance using Prometheus and Grafana. Each section is packed with practical demonstrations and real-world scenarios, ensuring you gain the hands-on experience needed to apply these tools effectively in your projects. By the end of this course, you’ll have a comprehensive understanding of how to leverage these advanced tools to enhance your DevOps practices. Whether you’re looking to improve code quality, automate deployments, or scale applications efficiently, this course provides the knowledge and skills to achieve your goals. This course is ideal for technical professionals, including DevOps engineers, system administrators, and software developers, who are looking to advance their skills in automation, containerization, and CI/CD practices. Prerequisites include a basic understanding of DevOps concepts, familiarity with command-line interfaces, and experience with software development or system administration.
O.P. Jindal Global University
Machine Learning
This Course Machine Learning offers a comprehensive, hands-on introduction to building and deploying machine learning models using Python. It is designed for learners with a foundational understanding of Python programming and familiarity with basic data analysis concepts. The course begins with a quick review of essential Python libraries such as NumPy, pandas, and Matplotlib, which form the foundation for data manipulation and visualization in data science. Learners are then introduced to core machine learning concepts, including supervised learning techniques such as classification and regression. The course places a strong emphasis on practical implementation using the scikit-learn package, enabling learners to build, train, and evaluate various models effectively. It also covers artificial neural networks and delves into deep learning through TensorFlow, where participants apply regression and classification techniques on real-world datasets. With the growing importance of unstructured data, the course explores neural network-based models for analyzing text and image data, equipping learners to handle diverse data types. By the end of the course, participants will have the ability to design and implement machine learning workflows, drawing actionable business insights from both structured and unstructured data. This skill set supports careers in data analysis, data engineering, and data science across industries.
Korea Advanced Institute of Science and Technology(KAIST)
Practical Python for AI Coding 1
Introduction video: https://youtu.be/TRhwIHvehR0 This course is for a complete novice of Python coding, so no prior knowledge or experience in software coding is required. This course selects, introduces, and explains Python syntaxes, functions, and libraries that were frequently used in AI coding. In addition, this course introduces vital syntaxes, and functions often used in AI coding and explains the complementary relationship among NumPy, Pandas, and TensorFlow, so this course is helpful for even seasoned python users. This course starts with building an AI coding environment without failures on learners’ desktop or notebook computers to enable them to start AI modeling and coding with Scikit-learn, TensorFlow, and Keras upon completing this course. Because learners have an AI coding environment on their computers after taking this course, they can start AI coding and do not need to join or use the cloud-based services.