The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Google Cloud
Cloud NGFW: Migrate VPC Firewall Rules that use Network Tags
This is a self-paced lab that takes place in the Google Cloud console. Migrate VPC firewall rules that use network tags to a global network firewall policy
University of Illinois Urbana-Champaign
Financial Planning for Young Adults
Financial Planning for Young Adults (FPYA), developed in partnership with the CFP Board, is designed to provide an introduction to basic financial planning concepts for young adults. The FPYA course is organized across eight separate modules within a 4-week window. Topics covered include financial goal setting, saving and investing, budgeting, financial risk, borrowing and credit. Because financial planning is such a personal topic, you will be encouraged to define your own financial goals and objectives while we discuss concepts and provide tools which can be applied in helping you reach those goals. Within each module, you will view a combination of traditional lecture style videos along with video vignettes that introduce financial topics for discussion among participants. The video vignettes provide a unique and exciting component to this course. Each vignette introduces a real-world scenario where financial decisions must be made and financial planning concepts can be applied. You will be challenged to think critically about each scenario and decide how you might come to a resolution if ever faced with a similar situation. Finally, the course also includes material throughout which is focused on career opportunities in financial planning, including video interviews with actual CFP® professionals and other professionals working in this exciting and growing career area. The final module in the class is devoted to the topic of financial planning as a career.
Coursera
Secure Your AI: Threat Modeling
Secure Your AI: Threat Modeling is an intermediate course for architects and engineers tasked with protecting complex AI systems. This course moves beyond reactive security, teaching you to build resilience directly into your designs. You will master the critical architectural decision of secret management by performing a deep-dive comparison of self-hosted solutions like Vault and managed cloud services like AWS Secrets Manager. You will learn to create a full Total Cost of Ownership (TCO) analysis and use compliance and performance data to make a justifiable, portfolio-ready recommendation. Next, you'll learn to proactively hunt for vulnerabilities by deconstructing system architecture into Data Flow Diagrams and applying the industry-standard STRIDE framework. This systematic process will enable you to identify and mitigate critical threats like Spoofing and Information Disclosure before they can be exploited. Through hands-on, scenario-based projects, you will draft professional security documents, defend your decisions to a simulated review board, and leave the course with the skills to design, build, and maintain secure AI systems.
LearnQuest
Introduction to iOS App Development with Swift 5
Welcome to Introduction to iOS Application Development with Swift 5. In this course you'll use your Swift skills to create iOS applications. Some of the things you will learn in this course are: • Write the code to build your very first iOS application • Manage screen display with multiple views • Use auto layout and the interface builder • Create applications with user interaction • Design a user interface allowing for multiple screen size and direction • Write and execute unit tests to keep your code error-free • Perform various calculations using Swift By the end of this course you will know how to build simple iOS applications and you'll be ready to move on and learn about using tables and data in iOS.
Google Cloud
Gemini Code Assist でアプリ開発を効率化する
あらゆるレベルの開発者を対象としたこのコースでは、Google Cloud の AI を活用したアプリ開発支援ソリューション、Gemini Code Assist のコア機能について学習します。インテリジェントなコードの提案や予測入力から、リアルタイムのエラー検出やリファクタリング支援まで、Gemini Code Assist を活用して生産性とコードの質を大幅に向上させてより生産的で楽しめる作業に集中するために、貴重な時間を節約する方法をご紹介します。
Google Cloud
Responsible AI for Developers: Interpretability & Transparency - 한국어
이 과정에서는 AI 해석 가능성과 투명성의 개념을 소개합니다. 개발자와 엔지니어에게 AI 투명성이 얼마나 중요한지를 설명합니다. 데이터와 AI 모델 모두에서 해석 가능성과 투명성을 구현하는 데 도움이 되는 실용적인 방법과 도구를 살펴봅니다.
UBITS
Comunicación efectiva para liderar equipos de trabajo
Un líder debe ser ante todo un comunicador efectivo, capaz de transmitir ideas, conocimientos y estrategias a su equipo. En este curso, aprenderás a mejorar tu comunicación verbal y no verbal para construir relaciones de confianza y comunicarte de manera clara, consciente, abierta y receptiva. Al adquirir estas habilidades, fortalecerás la cohesión de tu equipo y maximizarás tu influencia como líder. Dirigido a profesionales de nivel táctico con personal a cargo, este curso te brindará herramientas prácticas para transmitir tus ideas de manera más efectiva y mejorar tu capacidad de liderazgo en el entorno profesional.
Google Cloud
Developing a Google SRE Culture - 日本語版
多くの IT 組織では、アジリティを求める開発者と、安定性を重視する運用担当者の間で、インセンティブが調整されていません。サイト信頼性エンジニアリング（SRE）は、Google が開発と運用の間のインセンティブを調整し、ミッション クリティカルな本番環境サポートを行う方法です。SRE の文化的および技術的手法を導入することで、ビジネスと IT の連携を改善できます。このコースでは、Google の SRE の主な手法を紹介し、SRE の組織的な導入を成功させるうえで IT リーダーとビジネス リーダーが果たす重要な役割について説明します。
Packt
Future Thinking
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 today’s fast-evolving world, visionary leadership is key to shaping a sustainable future. This course provides a deep dive into how leaders can prepare their organizations for tomorrow's challenges by adopting future-focused thinking. Through practical tools and strategies, you’ll learn how to anticipate trends, inspire innovation, and create a culture of forward-thinking. The course is divided into modules that walk you through a structured approach to building a future-ready organization. From harnessing science fiction to gain new insights, to fostering innovation through customer feedback and data insights, each section builds upon the last. You will also explore how to overcome common pitfalls in future planning, cultivate resilience, and use research to guide decision-making. This course is perfect for leaders, managers, and anyone looking to take their strategic thinking to the next level. Whether you're looking to lead your team through innovation or prepare your organization for long-term success, this course will provide you with the knowledge and tools to do so. No specific prerequisites are required, though a background in leadership or business management is helpful. By the end of the course, you will be able to lead with a visionary mindset, harness innovation for growth, utilize data and insights for strategic decisions, and develop a resilient, future-ready organization.
Nanyang Technological University, Singapore
Introduction to Complexity Science
This course explores the features of complexity science. Our world is connected by an abundance of complex systems. Across all levels of organizations from physical, biological world to the social world, we may think of the connectivity between individual elements and how they interact and influence each other. For example, how humans transmit pandemics within a group, how cars interact in the traffic system and how networks connect in governmental organizations. Although these systems are diverse and different, they have surprisingly huge features in common. In the past several decades, the study of complexity science has been increasing. It is widely acknowledged that an innovative, integrated and analytical way of thinking is essential for understanding the complex issues in the human societies. In this course, we will aim to give everyone a comprehensive introduction of the complex systems, to talk about the resilience, robustness and sustainability of the systems and to learn basic mathematical methods for complex system analysis, for example regime shifts and tipping points, the agent-based modelling, the dynamic and network theories. Most importantly, we will implement the theories into practical applications of cities and health to help students gain practice in complex systems way of thinking. This course is co-developed by Associate Professor Cheong Siew Ann, Professor Stephen Lansing and Professor Peter Sloot between 2014 and 2020 at the Complexity Institute, Nanyang Technological University, Singapore.
University of Maryland, College Park
Storytelling and Persuading with Data and Digital Technology
Turn data into decisions that move your organization forward. In this course, you’ll learn how to transform your business into a true “decision factory” — where analytics, data products, and digital technologies drive smarter choices, stronger alignment, and greater impact. Through practical frameworks and hands-on insights, you’ll discover how to combine data storytelling, foresight, and scenario planning to improve the quality and speed of decision-making. You’ll learn how to identify your organization’s key decisions, map data needs, and build processes for reliable, evidence-based choices — even when information is incomplete or ambiguous. You’ll also explore the latest trends shaping digital transformation, including the rise of low-code/no-code analytics, AI, and robotic process automation (RPA). By the end of the course, you’ll be ready to lead with data, design better decisions, and help your organization compete in today’s fast-changing digital landscape.
Packt
Applied Generative AI & NLP with Python
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 course, learners will dive deep into the world of generative AI and natural language processing (NLP) using Python. With a focus on hands-on coding, the course will guide you through creating powerful NLP applications, from sentiment analysis to text classification and question-answering systems. You'll work with popular frameworks such as Huggingface and OpenAI, while also learning techniques like word embeddings, transformers, and model fine-tuning. By the end of the course, you’ll have the skills to create state-of-the-art NLP applications and deploy them in real-world scenarios. The course begins with foundational knowledge in NLP, including sentiment analysis and word embeddings using techniques such as GloVe. It progresses to more advanced models like transformers, Huggingface pipelines, and pre-trained models, before diving into the intricacies of model fine-tuning, data augmentation, and retrieval-augmented generation (RAG). Additionally, learners will be guided through implementing and deploying applications, including a climate change chatbot using RAG and vector databases. This course is ideal for individuals eager to explore the growing field of generative AI and NLP. It is suitable for anyone with basic Python knowledge and an interest in machine learning, data science, or AI. No prior experience in NLP or deep learning is required, making it accessible to beginners as well as more experienced developers looking to broaden their skillset.
EDUCBA
Master Computer Graphics Programming in C# .NET
By the end of this course, learners will be able to explain core computer graphics concepts, apply C# drawing techniques, create geometric shapes and text, manipulate graphics using transformations, and design animated and data-driven visual effects within .NET applications. This course provides a practical, step-by-step introduction to computer graphics programming using C# and .NET, making it ideal for learners who want hands-on experience rather than just theory. Starting with foundational graphics concepts and screen coordinates, learners gradually progress to drawing shapes, rendering text, working with images, applying transformations, and building animated effects. Each topic is demonstrated through focused, real-world examples that reinforce understanding and skill development. What makes this course unique is its practice-oriented approach to computer graphics. Instead of abstract mathematics or complex frameworks, learners directly implement graphics features commonly used in desktop applications. The structured progression from basic drawing to advanced visual effects ensures clarity and confidence at every stage. This course is especially valuable for students, beginners, and developers who want to strengthen their C# skills, build visually rich applications, or prepare for advanced topics in UI design, game development, or visualization projects.
University of California, Irvine
El arte de negociar
Empleados de todo nivel y con cargos de todo tipo pueden aplicar a diario el arte de negociar. Los alumnos adquieren una visión actual de las estrategias y tácticas de negociación, aprenden lo que significa negociar y se familiarizan con diversos tipos de negociaciones, como regateos a ultranza, gana-ganas, negociaciones en nombre de una organización y negociaciones a título individual. En el curso se analizan los rasgos personales y la conducta de un negociador eficaz y se habla de cómo el empoderamiento, una posición de fuerza y la autoridad que uno tenga afectan la marcha y el resultado de una negociación. También se aborda la importancia de hacer una buena planificación y preparación antes de una reunión de negociación.
DeepLearning.AI
Build Basic Generative Adversarial Networks (GANs)
In this course, you will: - Learn about GANs and their applications - Understand the intuition behind the fundamental components of GANs - Explore and implement multiple GAN architectures - Build conditional GANs capable of generating examples from determined categories The DeepLearning.AI Generative Adversarial Networks (GANs) Specialization provides an exciting introduction to image generation with GANs, charting a path from foundational concepts to advanced techniques through an easy-to-understand approach. It also covers social implications, including bias in ML and the ways to detect it, privacy preservation, and more. Build a comprehensive knowledge base and gain hands-on experience in GANs. Train your own model using PyTorch, use it to create images, and evaluate a variety of advanced GANs. This Specialization provides an accessible pathway for all levels of learners looking to break into the GANs space or apply GANs to their own projects, even without prior familiarity with advanced math and machine learning research.
Google Cloud
Como criar pipelines de dados de streaming no Google Cloud
O processamento de dados de streaming é cada vez mais usado pelas empresas para gerar métricas sobre as operações comerciais em tempo real. Neste curso, você vai aprender a criar pipelines de dados de streaming no Google Cloud. O Pub/Sub é apresentado como a ferramenta para gerenciar dados de streaming de entrada. No curso, também abordamos a aplicação de agregações e transformações a dados de streaming usando o Dataflow, além de formas de armazenar registros processados no BigQuery ou no Cloud Bigtable para análise. Os participantes vão ganhar experiência prática na criação de componentes de pipelines de dados de streaming no Google Cloud usando o Qwiklabs.