The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
GenerativeAI for Customer Success
Did you know that companies using Generative AI in customer success see a significant improvement in customer satisfaction and operational efficiency? Discover how you can leverage this technology to transform your customer success strategies. This short course empowers customer success professionals and managers to enhance their strategies using Generative AI (GenAI) technologies. By completing this course, you'll be able to apply advanced GenAI tools to streamline your customer support processes, improve customer engagement, and increase overall employee satisfaction the very next day at work. By the end of this course, you will be able to: 1.Explain how GenAI can be used to improve customer success processes in your organization. 2.Resolve ethical and data privacy challenges when using GenAI in customer success strategies. 3.Create a plan to integrate GenAI into your customer success operations. This course is unique because it combines theoretical insights with practical applications, including real-world examples and case studies, to provide a comprehensive understanding of GenAI in customer success. To be successful in this course, you should have a background in customer success, customer service, or a related field, and a basic understanding of AI technologies.
Packt
Unreal Engine 5 - Sci-Fi Environment Design
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. Step into the future of 3D design with this in-depth course on creating sci-fi environments using Unreal Engine 5. The journey begins with an overview of the key concepts and techniques required to build immersive, futuristic scenes. You’ll learn how to generate and plan ideas that fit a sci-fi aesthetic, ensuring your vision is both creative and technically sound. As you move through the course, you will get hands-on experience with scene blocking and asset placement, filling out your environment with elements that bring your sci-fi world to life. Each video guides you through polishing and refining the scene, covering advanced techniques like adding fog, tweaking lighting, and testing creative ideas on the fly. You’ll even experiment with dynamic features like adding and removing a beast for narrative impact. In the final section, you’ll master the finishing touches, learning how to set up fog, light, and post-processing to enhance your environment's overall feel. You’ll also dive into composition and fine-tuning in Photoshop to ensure your sci-fi world is visually striking and cohesive. By the end, you’ll be equipped with the skills to design, refine, and perfect your very own sci-fi environments in Unreal Engine 5. This course is ideal for 3D artists, game developers, and environment designers who want to create sci-fi worlds using Unreal Engine 5. A basic understanding of Unreal Engine is recommended, though the course is structured to accommodate intermediate users as well.
University of Michigan
Using Generative AI for Learning Design Activities
In “Using Generative AI for Learning Design Activities,” you’ll experiment with how generative AI supports learning design tasks. Throughout the course, instructors will use an applied case study to illustrate how generative AI can enhance learning design. You will then apply these insights to various activities, including drafting learning objectives, brainstorming, aligning course outcomes, and creating learner personas. You’ll then scope and conduct an experiment using generative AI, sharing your experiment results with peers in the course. This is the second course in the series "Generative AI as a Learning Design Partner," which introduces generative AI to the learning design process to support the creation of engaging instructional design. For educators in the state of Michigan: This series, "Generative AI as a Learning Design Partner," is approved in the state of Michigan for a maximum of 15 State Continuing Education Clock Hours (SCECHs) for educators. The successful completion of all 3 courses in the series will be required to claim SCECHs.
DeepLearning.AI
Sequence Models
In the fifth course of the Deep Learning Specialization, you will become familiar with sequence models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing (NLP), and more. By the end, you will be able to build and train Recurrent Neural Networks (RNNs) and commonly-used variants such as GRUs and LSTMs; apply RNNs to Character-level Language Modeling; gain experience with natural language processing and Word Embeddings; and use HuggingFace tokenizers and transformer models to solve different NLP tasks such as NER and Question Answering. The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to take the definitive step in the world of AI by helping you gain the knowledge and skills to level up your career.
Coursera
Modal Analysis in Mechanical Structures
Understanding how structures vibrate is at the heart of modern engineering from reducing EV motor noise to preventing fatigue failures in aircraft panels. This course introduces you to the essential world of modal analysis, where natural frequencies, mode shapes, and damping characteristics reveal how mechanical structures behave under real-world conditions. Through a combination of theory, guided coach dialogues, and hands-on exercises in Siemens Simcenter FEMAP (free student version), you’ll learn how NVH engineers extract modal parameters, diagnose vibration issues, and make data-driven design improvements. Across practical demonstrations and step-by-step assignments, you’ll build finite-element models, perform modal extractions, and interpret results to propose engineering modifications such as stiffness tuning, mass redistribution, and damping treatments. This course is ideal for engineering students, early-career engineers, and professionals seeking practical skills in vibration, modal analysis, and simulation-based design. Learners should be familiar with basic knowledge of engineering mechanics and engineering mathematics. By the end of this course, you’ll confidently analyze modal behavior, identify resonance risks, and translate simulation insights into actionable NVH enhancements.
AI CERTs
Sales with AI
AI for Sales Professionals empowers sales leaders to harness the power of AI to drive smarter, data-driven decision-making and boost revenue. This course teaches professionals to integrate AI technologies into CRM systems, optimize forecasting, and enhance customer relationship management for maximum impact. Learners will explore industry-leading AI tools such as Salesforce Einstein, Conversica, and Uniphore to automate lead scoring, personalize outreach, and analyze sales performance in real time. By mastering predictive analytics and AI-driven insights, sales teams can identify new business opportunities, improve pipeline management, and streamline complex sales processes. The program emphasizes practical applications through hands-on workshops, case studies, and real-world examples, enabling participants to apply AI strategies immediately in their organizations. Ethical AI practices, bias mitigation, and responsible implementation are woven into the curriculum to ensure sustainable, trustworthy adoption. By the end of the course, learners will be equipped to lead AI-enhanced sales initiatives, optimize workflows, and drive measurable business growth, making them indispensable in today’s competitive sales landscape.
Packt
Google Cloud Platform Cookbook
This course provides hands-on guidance for using Google Cloud Platform (GCP) to build, secure, and manage scalable applications. With practical insights into core services, it equips professionals with the necessary skills to leverage cloud technology effectively in their organizations. Throughout the course, you will gain experience in deploying applications, ensuring security, and optimizing cloud environments for high availability. The emphasis is on real-world applications and problem-solving, ensuring you can immediately apply what you learn. What makes this course unique is its recipe-based approach, allowing you to dive directly into practical use cases. You’ll work with essential GCP services, gaining actionable knowledge on cloud deployment, security, and optimization strategies. This course is ideal for IT professionals, developers, and architects seeking to enhance their cloud expertise. A basic understanding of cloud computing concepts and GCP will be beneficial.
Coursera
Fundamentals of Diversity, Equity, Inclusion, and Belonging
“Fundamentals of Diversity, Equity, Inclusion, and Belonging (DEIB)” is an insightful, short-form course designed for beginners interested in starting their DEIB journey in the workplace. As we navigate through increasingly diverse social and professional landscapes, understanding DEIB is no longer optional–it is imperative. This course aims to equip participants with the necessary tools and insights to effectively advocate for DEIB initiatives in professional settings. The course begins by asking participants to craft their own personal DEIB statements, then provides a comprehensive explanation of key DEIB concepts. Later in the course, participants will brainstorm possible DEIB initiatives that can be used in their organizations. Lastly, participants will end the course by revisiting and revising their personal DEIB statement with the hope that they will be empowered to champion DEIB work within their workplaces.
Kennesaw State University
Six Sigma and the Organization (Advanced)
This course is for you if you are looking to dive deeper into Six Sigma or strengthen and expand your knowledge of the basic components of green belt level of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes and performance. This course will introduce you to the purpose of Six Sigma and its value to an organization. You will learn about the basic principles of Six Sigma and Lean. Your instructors will introduce you to, and have you apply, some of the tools and metrics that are critical components of Six Sigma. This course will provide you with the basic knowledge of the principles, roles, and responsibilities of Six Sigma and Lean. Every module will include readings, videos, and a quiz to help make sure you understand the material and concepts that are studied. You will also have the opportunity to participate in discussions and peer review exercises to give you the opportunity to apply the material to your daily life. Registration includes online access to course content, projects, and resources but does not include the companion text The Certified Six Sigma Green Belt Handbook (2nd edition). The companion text is NOT required to complete the assignments. However, the text is a recognized handbook used by professionals in the field. Also, it is a highly-recommended text for those wishing to move forward in Six Sigma and eventually gain certification from professional agencies such as American Society for Quality (ASQ).
Johns Hopkins University
Human Resources Management Essentials
Welcome to Human Resources Management Essentials! This course provides you with a comprehensive understanding of the fundamental concepts and practices involved in managing human resources within an ambulatory care practice. This course is designed for entry-level and beginner learners with little or no background in healthcare, but who may be interested in transitioning into the field. In this course, you will explore the critical role of human resources in healthcare organizations such as understanding HR policy and legal issues, learning strategies for conducting effective interviews, identifying top talent, and making informed hiring decisions. You will delve into change management, discover change leadership models, develop strategies to manage organizational change, and learn how HR supports communication, engagement, and overcoming resistance. You will also gain insights into well-being-centered leadership, including essential skills like active listening, role modeling, and fostering employee strengths. You will learn about change management, effective interviewing and hiring practices (including giving feedback, goal setting, crucial conversations, and performance reviews), HR policy and legal issues, and strategies for creating a culture of excellence. By the end of this course, you will have developed the skills needed to effectively manage HR functions within an ambulatory medical practice. There are no specific prerequisites for this program.
Northeastern University
Systems and Cybersecurity Fundamentals Part 2
This course is best suited for individuals who have completed Part 1 or possess equivalent foundational cybersecurity knowledge and wish to advance their skills in network security, identity management, threat detection, and secure development practices. This course is ideal for security analysts, network administrators, identity and access management professionals, incident responders, and developers implementing DevSecOps practices. If you're looking to move beyond security fundamentals into implementing comprehensive security architectures and responding to real-world threats, this course will provide the advanced knowledge and practical skills you need.
University of Toronto
Aboriginal Worldviews and Education
Intended for both Aboriginal and non-Aboriginal learners, this course will explore indigenous ways of knowing and how they can benefit all students. Topics include historical, social, and political issues in Aboriginal education; terminology; cultural, spiritual and philosophical themes in Aboriginal worldviews; and how Aboriginal worldviews can inform professional programs and practices, including but not limited to the field of education.
University of Colorado System
Data Structures and Design Patterns for Game Developers
This course is a stand-alone course that builds on the knowledge included in the C# Programming for Unity Game Development Specialization, so the course assumes you have the prerequisite knowledge from that Specialization. You should make sure you have that knowledge, either by taking those courses or from personal experience, before tackling this course. Throughout this course you'll build on your foundational C# and Unity knowledge by developing more robust games with better object-oriented designs using various data structures and design patterns. Data structures and design patterns are both general programming and software architecture topics that span all software, not just games. Although we'll discuss these ideas in the game domain, they also apply if you're writing a web app in ASP.NET, building a tool using WinForms, or any other software you decide to build. Module 1: Explore a Dynamic Array data structure and learn the basics of algorithm analysis Module 2: Learn about and use the common Linked List and Graph data structures Module 3: Learn about and use several additional data structures: Stacks, Queues, and Trees Module 4: Learn why design patterns are so useful and discover a number of design patterns useful in game development “Unity” is a trademark or registered trademark of Unity Technologies or its affiliates in the U.S. and elsewhere. This course is an independent work and is not sponsored by, authorized by, or affiliated with Unity Technologies or its affiliates
Google Cloud
Leveraging NetApp Cloud Volume ONTAP Remote Caching Capabilities for EDA Workloads
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to leverage NetApp Cloud Volumes ONTAP remote caching for EDA workloads.
Stanford University
Evaluations of AI Applications in Healthcare
With artificial intelligence applications proliferating throughout the healthcare system, stakeholders are faced with both opportunities and challenges of these evolving technologies. This course explores the principles of AI deployment in healthcare and the framework used to evaluate downstream effects of AI healthcare solutions. In support of improving patient care, Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. Visit the FAQs below for important information regarding 1) Date of the original release and expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content.
Coursera
Use Python Regular Expressions to Process File Data
By the end of this project, you will use the python re package to create an application that verifies email form data from a file. Regular expressions are used to search for data patterns. They can be used to validate file or web data, and/or replace data when a match is found. In Python, the regular expression is compiled with a regular expression pattern. Then a string is passed to the regular expression engine where the search for the pattern match takes place. 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.