The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Google Cloud
Créer des lacs de données et des entrepôts de données sur Google Cloud
Bien que les approches traditionnelles utilisant des lacs de données et des entrepôts de données puissent être efficaces, elles présentent des inconvénients, en particulier dans les grands environnements d'entreprise. Ce cours présente le concept de data lakehouse et les produits Google Cloud utilisés pour en créer un. Une architecture de lakehouse utilise des sources de données basées sur des normes ouvertes et combine les meilleures fonctionnalités des lacs et des entrepôts de données, ce qui permet de pallier de nombreuses lacunes.
Applying Data Analytics in Marketing
This course introduces students to marketing analytics as a data-driven approach to solving real-world marketing problems. It covers four key areas: causal analysis (identifying cause-and-effect in marketing interventions), predictive modeling and AI (forecasting customer behaviors using machine learning), social media analysis (extracting insights from online consumer interactions through text and network analysis), and consumer demand and preference analysis (estimating preferences, demand, and customer lifetime value). Students will gain hands-on experience using Python to analyze diverse data sources, apply advanced analytics techniques, and generate actionable insights to support strategic marketing decisions.
Pearson
PMP Certification: Unit 1
This course offers an in-depth exploration of essential project management concepts and equips you with the skills needed to navigate the complexities of the PMP exam. Begin with understanding the eligibility criteria and mastering the application process, then delve into the exam's format and develop strategies to tackle its challenging questions. Our expert instructors will guide you through foundational project management principles from the PMBOK Guide, version six, covering project definitions, life cycles, and the impact of enterprise environmental factors. By the end of this course, you'll not only be ready to excel in the PMP exam but also gain a robust understanding of the PMI framework and standards, setting you on a path to project management excellence.
University of Michigan
Using Public Policy for Social Change
Using Public Policy for Social Change provides a comprehensive introduction to public policy and its role in addressing societal challenges, with a focus on social inequalities. You’ll explore various areas of policy work, including social welfare, public health, the environment, education, and criminal justice. Learn the fundamentals of public policy design and analysis, and how policymaking functions across all levels of government in democracies worldwide. The course offers the opportunity to delve into social issues you care about, learn from real-life policymakers and advocates, and strengthen your analytical, critical thinking, and advocacy skills to create positive social change. Using Public Policy for Social Change leads you through each step of the policymaking process and encourages you to see how your talents and passions can play a role in making the world a more equitable place.
Secure AI Systems Across Lifecycle Stages
As artificial intelligence powers our world, it creates a new frontier for complex threats that standard cybersecurity practices can't handle. This course equips you with the specialized, in-demand skills to defend these critical systems from end to end. You will learn to think like an attacker, identifying unique threats like data poisoning, adversarial evasion, and model inference attacks. We'll journey through the entire MLOps lifecycle, pinpointing vulnerabilities from the moment data is collected to the second a model is deployed. But this isn't just theory—you will immediately apply your knowledge in a series of hands-on labs. Using the industry-standard MITRE ATLAS framework, you'll perform a full threat model analysis on a sample AI application. You will then implement practical, code-based mitigation strategies to build more resilient systems, culminating your learning in a final project where you conduct a full security audit. This course is ideal for AI engineers, data scientists, cybersecurity professionals, and anyone involved in the design, development, or deployment of AI systems. It is especially valuable for professionals working in sectors where security is a priority, such as healthcare, finance, and government. Learners should have a foundational understanding of AI, machine learning, and basic cybersecurity concepts. Familiarity with software development practices and system architecture will be beneficial, but not required. By the end of this course, you will have the confidence and tangible skills to protect the next generation of technology and become an essential asset in the world of AI security.
EDUCBA
Ethical Hacking with Kali Linux: Learn & Secure
By completing this course, learners will be able to define the fundamentals of ethical hacking, configure secure lab environments, analyze operating system structures, perform reconnaissance techniques, and apply powerful tools such as Nmap and ZenMap for penetration testing. The course equips participants with practical skills to identify vulnerabilities, gather intelligence ethically, and evaluate system security in real-world scenarios. Designed for beginners and aspiring security professionals, this course emphasizes hands-on learning with Kali Linux, guiding learners through setting up virtual labs, footprinting, Google hacking, DNS analysis, and advanced network scanning. Unlike generic cybersecurity courses, it blends theoretical insights with practical demonstrations to ensure learners not only understand concepts but also practice them in safe, controlled environments. By the end of the course, participants will be confident in applying ethical hacking methodologies, simulating reconnaissance techniques, and using industry-standard tools to strengthen security postures. This makes the course uniquely valuable for those seeking to build a strong foundation in penetration testing with a focus on practical application.
Coursera
Creating EV Charging Hubs: Innovative Design
Creating EV Charging Hubs - Innovative Infrastructure Design is a comprehensive course aimed at equipping learners with the knowledge and skills necessary to identify key design and implementation elements, of effective charging infrastructure for electric vehicles. As the world shifts towards sustainable transportation, the demand for efficient, accessible, and intelligent charging solutions is on the rise. This course addresses the critical need for well-designed charging infrastructure and explores the complexities involved in its planning, deployment, and integration with the electrical grid. The course also covers the various smart charging technologies, allowing you to evaluate more advanced methods to reach better operational efficiency. The course also discusses some emerging trends like wireless charging infrastructure and challenges in developing such high-power systems. Upon completing this course, Learners will be able to identify and evaluate, efficient electric vehicle charging infrastructure designs that meet user needs, comply with regulatory requirements, and contribute to the growth of sustainable transportation. This course is designed for professionals in the electric vehicle industry, City planners and urban developers, Electrical engineers and technicians, Environmentalists and sustainability advocates, and other Individuals interested in sustainable transportation solutions. It is recommended to complete the course on electric vehicle charging infrastructure design before enrolling for this course.
Google Cloud
Introduction to Looker
In this introductory course, you'll learn how Looker can help you explore, analyze, and visualize your data to drive better decisions. Through a combination of video lectures and demos, you'll discover how to connect to various data sources, build interactive dashboards, and perform effective data analysis. Whether you're a data analyst, BI analyst, data scientist or business user, this course will equip you with the foundational knowledge to start using Looker effectively, regardless of your background.
Google Cloud
Use Google Forms with Google Sheets
This is a self-paced lab that takes place in the Google Cloud console. Google Forms enables users to easily create and share online forms and surveys, and analyze responses in real-time.
The University of Tokyo
Contemporary Garden City Concept from Asia
This course is for urban planners, architects, environmental scientists, and professionals interested in sustainable urban development and Japanese urbanism. It addresses contemporary urban planning issues, focusing on the Garden City concept and integrating green spaces into cities to combat environmental challenges. The course examines the transition from traditional urban structures to green matrices, highlighting green spaces' role in enhancing resilience. It contrasts Western and historical Japanese cities' agricultural integration, advocating for new urban agriculture approaches. The course examines the symbiotic relationship between urban and rural land uses, offering strategies for sustainable urban planning. By the end of this course, you will be able to: - Analyze urban planning issues and the Garden City concept. - Evaluate strategies for integrating green spaces and urban agriculture. - Compare Japanese and Western urban-rural land management. - Develop sustainable urban planning visions. To be successful, a basic understanding of urban planning or environmental science concepts is helpful.
Board Infinity
Introduction to Hibernate
Unlock the power of Object-Relational Mapping with our "Introduction to Hibernate" course. Designed for Java developers, students, and software engineers, this course provides the essential foundations and practical tools for working with Hibernate, the leading Java-based ORM framework. From understanding why ORM matters to mapping entities, managing relationships, and optimizing performance, you’ll gain the skills to simplify database access and write cleaner, more maintainable applications. With real-world examples, hands-on coding, and practical tools such as HQL, Criteria API, and caching, you’ll learn how to design efficient data models, perform CRUD operations, and tune Hibernate for performance in production-ready systems. By the end of this course, you will be equipped to: - Explain ORM concepts and the benefits of Hibernate over JDBC. - Set up Hibernate in a Java project and map entities using annotations. - Implement CRUD operations, relationships, inheritance strategies, and advanced mappings. - Query databases using HQL, Criteria API, and optimize performance with caching and fetching strategies. Note: This course is ideal for Java developers, software engineers, and students seeking to strengthen their understanding of ORM and master Hibernate for enterprise-level applications. Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.
Google Cloud
Creating a Streaming Data Pipeline With Apache Kafka
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you create a streaming data pipeline with Kafka providing you a hands-on look at the Kafka Streams API. You will run a Java application that uses the Kafka Streams library by showcasing a simple end-to-end data pipeline powered by Apache.
Icahn School of Medicine at Mount Sinai
Acute and Chronic Rhinosinusitis: A Comprehensive Review
Welcome to Acute and Chronic Rhinosinusitis: A Comprehensive Review This course, offered by the Department of Otolaryngology – Head and Neck Surgery at the Icahn School of Medicine at Mount Sinai, is designed to inform primary care physicians and general otolaryngologists, as well as nurses, physician assistants and medical assistants, about the differences between acute and chronic rhinosinusitis and how to distinguish and treat them. It is also applicable to individuals who wish to broaden their knowledge and vernacular about this disease process, especially those who may suffer from this condition. The course has been divided into four modules, each of which is followed by multiple choice questions to help attendees further understand this condition: Week 1 - CME Information, Accreditation and Introduction Week 2 - Module 1: Normal Sinus Anatomy and Function (15 min. + quiz) Week 3 - Module 2: Acute Rhinosinusitis: Diagnosis and Treatment (17 min. + quiz) Week 4 - Module 3: Chronic Rhinoinusitis: Diagnosis and Treatment (18 min. + quiz) Week 5 - Module 4: The Role of Surgery for Sinusitis and Activity Evaluation (36 min. + 2 quizzes) The primary objective of this course is to provide physicians with a thorough understanding of how to better diagnose and treat patients who suffer from acute and chronic rhinosinusitis. Note: This course is no longer available for CME Credit. Please review the CME Information and Accreditation prior to proceeding with the course modules. Release Date: January 16, 2018 Expiration Date: January 16, 2020 Estimated Time to Complete: One Hour and Forty Five Minutes CME Fee: $30.00 CME Credits Offered: 1.75 CME Reviewer: Marita S. Teng, MD How to Receive CME Credit: For physicians who are interested in earning CME credits and other allied health professions who wish to receive a Verification of Attendance certificate, you must: a. Complete Signature Track (details to follow after enrolling in this course) b. Complete registration process through the Icahn School of Medicine at Mount Sinai, CME Office using the following link: http://bit.ly/Acute_Chronic (WARNING: This course is no longer available for CME Credit.) (You will be required to pay an additional non-refundable fee of $30.00 in addition to the $49.00 fee for signature track.) c. Email an attached copy of your Verified Certificate from Coursera to the CME office at the Icahn School of Medicine at cme@mssm.edu and request your CME certificate. d. You will be provided with the instructions for downloading your CME/CE certificate. Technical Design and Development Lynette Bobbitt Lisa Chase Jill Gregory Paul Lawrence Charles Psarreas Rory Sacks
Arizona State University
Problem-Solving
Problem-solving is a universal skill. Its applications aren’t limited to your job or what you’re working on in class. Maybe you need the best arrangement to hang up some pictures, are setting up a new TV or just want to find somewhere for your team to go for lunch. These are all examples of problems: situations that can be addressed. The question you then ask is: “How can I go about solving these problems?” With the expertise of Dr. Brent Scholar from the ASU College of Integrative Arts and Sciences, the Problem-solving course will put the tools, knowledge and strategies of problem-solving directly into your hands. You’ll learn the fundamentals and get acquainted with your problem-solving toolkit. Then, you’ll directly apply them in hands-on scenarios. Problem-solving is all about generating solutions. Problem-solving is a skill that anyone can learn and can be applied anywhere. Jump-start your problem-solving journey today!
Packt
Generative AI 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. Unlock the power of generative AI by mastering Python and working hands-on with cutting-edge tools and libraries. From building large language models (LLMs) to implementing advanced agentic systems, this course takes you on an in-depth journey through AI development. You’ll explore the essentials of LLMs, model training, parameter tuning, and the integration of advanced techniques like Retrieval-Augmented Generation (RAG) and vector databases. The interactive learning experience ensures you are not just passively absorbing information but engaging with practical coding exercises and real-world applications. The course begins with the foundational setup, including Python, IDEs, and environment configurations, before diving deep into LLMs, multimodal models, and even exploring agent-based systems. You’ll move through advanced topics such as prompt crafting, chaining models, and building intelligent systems with frameworks like crewAI and AG2. The journey concludes with model fine-tuning techniques, including Low-Rank Adaptation (LoRA), that enable you to optimize performance. This course is designed for AI enthusiasts, data scientists, and developers who want to expand their skills in generative AI. It is ideal for anyone with basic knowledge of Python who wants to build AI-driven applications. The course is suitable for those at an Intermediate level with some prior programming experience in Python. By the end of the course, you will be able to design and implement generative AI models, create complex AI workflows using chains and agents, manage vector databases, and fine-tune models to suit specific tasks and domains.
Shanghai Jiao Tong University
杏林探宝——认知中药
《杏林探宝——认知中药》是由上海中医药大学推出的一门关于中药学的慕课课程,由上海中医药大学杨柏灿教授主讲。 上海中医药大学(Shanghai University of Traditional Chinese Medicine)的前身是上海中医学院,创建于1956年,是新中国诞生后国家首批建立的四所中医药高等院校之一,也是上海市属高校中唯一的一所医科类重点特色院校。 中药学根植于中华文化,是中医药学的重要组成部分,也凝聚着中华文明的精髓。其悠久的历史,卓越的防病治病效果,较少的毒副作用,成为中华民族防病治病不可或缺的选择。同时,中药的作用也日益引起国际社会的关注和重视。但不可否认,对中药的认识和应用存在着一些不容忽视的误区与盲区,非常有必要采取一定的方式,通过合适的平台传播、普及中药知识,使人们对中药有一个更为全面准确的认识,并能合理应用,让中药为人类的健康保健发挥更大的作用。