The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Birla Institute of Technology & Science, Pilani
Information Security
The course "Information Security" aims to prepare you for a deeper understanding and application of information security principles and practices essential for today’s digital landscape. In this course, you’ll be introduced to the fundamental concepts of securing information systems, program security, database integrity, operating system protections, cloud security, and privacy frameworks. You’ll learn about various types of security threats, vulnerabilities, and defences, as well as the legal and ethical dimensions of cybersecurity. The course covers a wide variety of topics, from program-level safeguards to physical security and auditing practices. These topics are designed to give you an overview of critical areas within the field, serving as a foundation for further specialisation and research in your degree program. Whether you're interested in secure software design, cloud infrastructure security, or the evolving challenges in privacy and anonymity, this course offers a comprehensive starting point to build your expertise in cybersecurity.
Coursera
Securing AI Data and Applications
Secure AI systems and data using enterprise-grade governance, zero-trust architecture, and compliance frameworks. This course teaches you to govern GenAI data safely, implement zero-trust security models, secure applications against evolving threats, and evaluate cloud systems against standards like NIST and SOC 2. You will analyze breach scenarios, design role-based access controls, create infrastructure-as-code policies, and establish secure coding guidelines that prevent vulnerabilities at scale. Build practical skills in incident response, automated policy enforcement, threat modeling, and compliance evaluation. By the end of this course, you will be able to secure AI systems and data confidently, enforce enterprise-grade policies, anticipate and mitigate threats, and demonstrate readiness for senior security roles in AI-driven organizations.
University of Leeds
Leadership and Change Management for Sustainability Success
Transform your leadership skills and become a catalyst for change in sustainability. This course provides practical strategies and proven change management techniques to help you drive sustainable transformation in your organisation. You’ll explore key leadership models, change management frameworks, and sustainability strategies, equipping you with the tools to navigate organisational challenges and implement impactful change. Through real-world case studies and interactive learning, you’ll develop the confidence to lead sustainability initiatives that drive long-term success. This course is suitable for professionals looking to enhance their leadership capabilities in sustainability and change management.
Google
Network Monitoring and Analysis
In this course, you will be provided with an overview of network analysis tools more commonly referred to as “packet sniffers”. In particular, you will sniff the network and analyze packets for malicious threats. You’ll also craft common filtering commands in both tcpdump and Wireshark to analyze the contents of packet capture. By the end of this course, you will be able to: - Describe how network traffic analysis can help to detect, prevent, and respond to security incidents - Use packet sniffing tools to capture and view network communications - Analyze packets to interpret network communications
University of California, Davis
Visual Analytics with Tableau
In this third course of the specialization, we’ll drill deeper into the tools Tableau offers in the areas of charting, dates, table calculations and mapping. We’ll explore the best choices for charts, based on the type of data you are using. We’ll look at specific types of charts including scatter plots, Gantt charts, histograms, bullet charts and several others, and we’ll address charting guidelines. We’ll define discrete and continuous dates, and examine when to use each one to explain your data. You’ll learn how to create custom and quick table calculations and how to create parameters. We’ll also introduce mapping and explore how Tableau can use different types of geographic data, how to connect to multiple data sources and how to create custom maps.
Google
Make the Sale: Build, Launch, and Manage E-commerce Stores
Make the Sale: Build, Launch, and Manage E-commerce Stores is the sixth of eight courses in the Google Digital Marketing & E-commerce Certificate. This course explores how businesses and individuals sell products online, including using popular platforms like Shopify. You’ll go through the process of creating a mock e-commerce store. To do this, you’ll build a Shopify store, add the necessary information, and create product listings. You’ll explore how to reach customers online through e-commerce customer outreach methods like advertisements and campaigns. Google employees who currently work in the field will guide you, providing hands-on activities and examples that simulate common digital marketing and e-commerce tasks while showing you some of the best tools and resources used on the job. Learners who complete the eight courses in this program will be ready to apply for entry-level jobs in digital marketing and e-commerce. No previous experience is necessary. By the end of this course, you will be able to do the following: - Understand essential e-commerce strategies and practices - Explain how to conduct market research and product research - Set up a mock e-commerce store using Shopify - Use Google Ads to engage e-commerce customers - Explain how trends and seasonality affect e-commerce businesses - Use best practices to create an engaging customer experience online - Describe the order fulfillment process through checkout, point of sale (POS), shipping, and delivery. - Optimize a checkout flow for customers
Google Cloud
ML Pipelines on Google Cloud - 한국어
이 과정에서는 Google Cloud에서 최신 ML 파이프라인 개발을 담당하는 ML 엔지니어와 트레이너로부터 유익한 지식을 배웁니다. 초반에 진행되는 몇 개 모듈에서는 Google의 TensorFlow 기반 프로덕션 머신러닝 플랫폼으로서 ML 파이프라인과 메타데이터를 관리할 수 있는 TensorFlow Extended(TFX)에 대해 다룹니다. 파이프라인 구성요소와 TFX를 사용한 파이프라인 조정을 알아봅니다. 지속적 통합과 지속적 배포를 통해 파이프라인을 자동화하는 방법과 ML 메타데이터를 관리하는 방법도 배웁니다. 그런 다음 주제를 전환하여 TensorFlow, PyTorch, scikit-learn, xgboost 등 여러 ML 프레임워크에서 ML 파이프라인을 자동화하고 재사용하는 방법을 설명합니다. 또한 Google Cloud의 또 다른 도구인 Cloud Composer를 사용하여 지속적 학습 파이프라인을 조정하는 방법도 알아봅니다. 마지막으로 MLflow를 사용하여 머신러닝의 전체 수명 주기를 관리하는 방법을 살펴봅니다.
Google Cloud
Introduction to Generative AI - 한국어
생성형 AI란 무엇이고 어떻게 사용하며 전통적인 머신러닝 방법과는 어떻게 다른지 설명하는 입문용 마이크로 학습 과정입니다. 직접 생성형 AI 앱을 개발하는 데 도움이 되는 Google 도구에 대해서도 다룹니다.
IE Business School
Diversification in Corporate Strategy
Explore the strategic facets of corporate diversification in this course, focusing on the critical decisions regarding business engagement and market expansion. Learn the benefits and risks of diversification, and how to navigate the value chain effectively. Gain insights into strategic planning for diversifying your business portfolio.
Google
Automatiser les tâches de cybersécurité avec Python
Voici le septième cours de la Certification en cybersécurité de Google. Ces cours vous permettront d'acquérir les compétences dont vous avez besoin pour postuler à un emploi de niveau débutant dans le domaine de la cybersécurité. Vous vous appuierez sur votre compréhension des sujets qui ont été introduits dans le sixième cours de la Certification en cybersécurité de Google. Dans ce cours, nous vous présenterons le langage de programmation Python et nous l'appliquerons au domaine de la cybersécurité afin d'automatiser certaines tâches. Pour commencer, nous aborderons les concepts fondamentaux de la programmation Python, notamment les types de données, les variables, les instructions conditionnelles et les instructions itératives. Vous apprendrez également à travailler en Python avec efficacité en développant des fonctions, en utilisant des bibliothèques et des modules et en rendant votre code lisible. Par ailleurs, vous travaillerez avec des données de type chaîne et liste, et découvrirez comment importer, analyser et déboguer des fichiers. Les employés de Google qui travaillent actuellement dans le domaine de la cybersécurité vous guideront à travers des vidéos, des activités pratiques et des exemples qui simulent des tâches courantes de cybersécurité, et vous aideront à développer vos compétences pour vous préparer à l'emploi. Les participants qui termineront cette certification seront aptes à postuler à des emplois de niveau débutant dans le domaine de la cybersécurité. Aucune expérience préalable n'est nécessaire.
Indian Institute for Human Settlements
Net-Zero Building Fundamentals
Interested in decarbonisation, high performance, and climate resilient buildings? Then this course is for you. Our future is low-carbon, net-zero buildings that are super-efficient and self-sufficient in terms of their energy and water use. Decarbonisation, digitisation, and deglobalisation are driving the infrastructure revolution over the next 20 years. This course, offered jointly by the Alliance for an Energy Efficient Economy (AEEE) and the Indian Institute for Human Settlements (IIHS), will enable you to reap the benefits of this revolution and work on climate change. You will learn the fundamentals of passive comfort, energy efficiency, renewable energy, and low carbon and resilient design. These fundamentals include building science, design, engineering, and finance. Learn these to work on high performance building design, with evidence-based design process. These fundamentals will equip you to work effectively in a multi-disciplinary team. There are 11 modules: energy performance, heat transfer for the building envelope, passive design, thermal comfort and indoor air quality, natural ventilation, load calculation for right-sizing HVAC systems, HVAC system types and low-energy cooling, cost estimation and financial feasibility, water sufficiency, resilient design, and embodied carbon. Enrol in this course and arm yourself to lead the global infrastructure transition.
HEC Paris
Entrepreneurship Strategy: From Ideation to Exit
This course covers in the chronological order each defining step of an entrepreneurial project. It begins with very personal considerations related to getting to better know yourself better so as to decide if you are ready for the multiple challenges of entrepreneurship. It then deals with creativity in order to provide the right set of tools to find an idea with the right potential to disrupt an existing business. We then discuss how to gather a founding team, how to raise money to initiate the project, and how to deal with day to day cash management. Later in the course, we discuss the art of selling, focusing on business to business sales, and how to measure the product launch phase using cohort analysis. Later on, we discuss the challenges of HR in an entrepreneurial environment, and of recruiting at a point where nobody knows your company. We then describe very practical techniques to initiate the international development of a small company. Last, we cover the exit strategy topic.
Packt
Blazor Fundamentals & Core Concepts
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 gain a solid foundation in Blazor, one of the most powerful frameworks for building interactive web UIs with C#. You'll learn how to develop Blazor applications, differentiate between Blazor Client and Blazor Server models, and work with key Blazor components. The course covers everything from setting up your first Blazor project to handling data and property bindings, creating Razor components, and utilizing shared components. As you progress, you'll explore more advanced topics such as event binding, routing, and lifecycle methods, while gaining hands-on experience through assignments that reinforce your learning. You'll also dive into JavaScript integration within Blazor, covering techniques like using Toastr JS and creating a confirm box in Blazor. This course is perfect for developers eager to learn Blazor from scratch or those looking to enhance their skills. It provides a deep dive into Blazor's ecosystem and practical skills for real-world application. By the end of the course, you will be able to create and manage Blazor applications, bind data to UI components, manage component lifecycles, implement event callbacks, and integrate JavaScript within Blazor apps.
O.P. Jindal Global University
Introduction to Data Science (Public Policy)
Data is everywhere. From historical documents to literature and poems, diaries to political speeches, government documents, emails, text messages, social media, images, maps, cell phones, wearable sensors, parking meters, credit card transactions, Zoom, surveillance cameras. Combined with rapidly expanding computational power and increasingly sophisticated algorithms, we have an explosion of digital data around us. Privacy, ethics, surveillance, bias, discrimination are some of the obvious policy issues emanating from these data sources. But there is also incredible potential for better understanding the social world, and the potential to use data for good.In this course we will explore how data and digital material can be leveraged to have a better understanding of social issues. We will devote a substantial component of the course to explore the technical skills necessary to access and analyze data (aka programming in Python!), and best practices re: research design, and the practical knowledge we and others can produce using digital data and methods. By the end of the course you should be able to: 1. Know enough Python basics to qualify as, at a minimum, a novice programmer 2. List different types of digital data (e.g., delimited separated files, raw text, json), be able towrite Python code to input and process each type, and explain how and why you might use each data type in research 3. Write Python code to collect and structure digitized data, including from APIs, process the data, and produce visualizations and/or output to explore or analyze the data 4. Explain what the output from computational methods means, and derive a few insights about the social world from the output and visualizations 5. Feel comfortable learning new techniques and new Python libraries on your own
Google Cloud
Responsible AI: Applying AI Principles with Google Cloud - Deutsch
Da die Nutzung von künstlicher Intelligenz und Machine Learning in Unternehmen weiter zunimmt, wird auch deren verantwortungsbewusste Entwicklung ein immer wichtigeres Thema. Dabei ist es für viele schwierig, die Überlegungen zur verantwortungsbewussten Anwendung von KI in die Praxis umzusetzen. Wenn Sie wissen möchten, wie sich die verantwortungsbewusste Anwendung von KI in die Praxis umsetzen, also operationalisieren lässt, finden Sie in diesem Kurs entsprechende Hilfestellungen. In diesem Kurs erfahren Sie, wie dies mit Google Cloud heutzutage möglich ist, inklusive entsprechender Best Practices und Erkenntnisse. Es wird gezeigt, welches Framework Google Cloud bietet, um einen eigenen Ansatz für die verantwortungsbewusste Anwendung von KI zu entwickeln.
Coursera
Boost Team Approvals
Transform your team's project collaboration with intelligent workflow design! This Short Course was created to help project management professionals accomplish seamless template deployment, proofing enablement, and evidence-based collaboration improvement. By completing this course, you'll be able to standardize project initiation processes, train teams on inline approval workflows, and use data analytics to enhance collaboration outcomes. By the end of this course, you will be able to: - Launch a shared "Project Brief" template, enable proofing, and train the team on inline approvals - Survey team after two weeks; analyse collaboration score and propose two improvements This course is unique because it combines hands-on template deployment with systematic evaluation methodology for continuous improvement. To be successful in this project, you should have a background in basic project management and team coordination.