The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Universidad Nacional Autónoma de México
Cognición encarnada
Esta materia de corte teórico forma parte del programa especializado introducción a la Inteligencia Artificial, aunque puede tomarse de manera independiente. Las ciencias cognitivas estudian el conocimiento, por lo que abarca a una diversidad de disciplinas, tales como la psicología, neurofisiología, lingüística, filosofía y también la inteligencia artificial. Por una parte, las ciencias cognitivas pueden ayudarnos a construir sistemas que exhiban una inteligencia más sofisticada. Por otra, los avances y experimentos en inteligencia artificial pueden ser útiles al resto de las ciencias cognitivas. En este curso cubrirá brevemente la historia y conceptos más relevantes de ciencias cognitivas, relacionándolos con temas revisados en el Programa Especializado. El objetivo es que puedas desarrollar un discurso para expresar tu opinión sobre la cognición en humanos, animales, otros seres vivos y máquinas.
Logical Operations
Crystal Reports: Enhancing, Importing, and Exporting Reports
To round out your data-reporting skills in Crystal Reports, you'll enhance reports by formatting them, inserting objects into them, and using templates. You'll also create and modify reports based on Excel data. Finally, you'll export and creating mailing labels as methods for distributing reports to the people who need them. This is the third and final course in a multi-course Specialization. All of the courses in this Specialization require that you have SAP Crystal Reports 2020 installed. You also need to have an installation of Office 2019 apps or later, particularly Access. The course setup instructions provided in the first course go into more detail about the hardware and software requirements.
Arizona State University
Extracting Value from Dark Data: ULEADD
This course will provide you with working knowledge on the ULEADD approach to extracting value from data. ULEADD - an acronym for Understand, Learn, Evaluate, Assess, Define, Design - is a framework for discovery that provides a structure to identify and extract value from data that is typically hidden from sight. Though this course focuses on using ULEADD with dark data, you will likely find that this approach is helpful in many project and data scenarios.
IBM
IBM COBOL Software Development Practices
This course is aimed at anybody interested in COBOL or or software development. In this course, you will be introduced to core practices, systems, and methodologies associated with IBM COBOL software development. You will learn about COBOL as a self-documenting language. You will review working with existing coding. This course also covers quality assurance (QA), technical support and project management.
Alibaba Cloud Academy
Cloud Computing Fundamentals on Alibaba Cloud
Course Description Looking to dive into the world of Alibaba Cloud with a comprehensive introduction to the range of products and solutions offered by Alibaba Cloud? Fundamental Architecting on Alibaba Cloud is a course designed for users looking to start this journey with a look into Alibaba Cloud's core products. Fundamental Architecting looks into storage, networking, auto-scaling, and security solutions as well as scenarios to best combine these products to create a complete cloud-based architecture. After completing this course the learner should: Have general knowledge of Cloud Computing, Network Security, and the IT industry. Able to develop general solutions and enterprise best practices based on Alibaba Cloud's products. Knowledge in the use and operation of Alibaba Cloud's ECS, Server Load Balancers, OSS, VPC, Auto Scaling, CDN, Alibaba Cloud Security, and CloudMonitor products. To earn an official Alibaba Cloud certificate please join the Cloud Computing courses on the Academy's website: Operate and Manage a Cloud Server: https://edu.alibabacloud.com/certification/clouder_cloudserver Operate and Manage Object Storage on the Cloud: https://edu.alibabacloud.com/certification/clouder_oss Handle Large Traffic with Load Balancer: https://edu.alibabacloud.com/certification/clouder_slb
Starweaver
Credit Analysis in Action: Economic and Industry Essentials
This course offers a concise, practice-oriented path into advanced credit analysis and fixed-income risk management. Aimed at professionals, it pairs rigor with application across loan structuring and collateral, covenants, stress testing and scenarios, Basel III capital, high-yield/distressed debt, portfolio risk mitigation (including CDS), and ESG—using tools like collateral/recovery modeling, Excel-based scenarios, CDS pricing basics, RWA calculations, and structured risk transfer. Through expert instruction, hands-on exercises, and case studies, you’ll review loan agreements, interpret covenants, value collateral, run stress tests, assess speculative-grade debt and restructurings, and implement hedges in diversified portfolios while aligning with evolving regulations and ESG. The capstone delivers a full credit assessment and decision-ready recommendation, equipping you to structure loans, evaluate risk, meet regulatory expectations, and manage institutional exposure with confidence. This course is designed for finance professionals aiming to deepen their expertise in credit risk assessment and fixed income investing. Whether you're a financial analyst, fixed income trader, portfolio manager, or credit risk specialist at a bank or rating agency, the content is tailored to equip you with practical, industry-relevant skills. Investors looking to better understand the bond market will also benefit from its structured approach and real-world applications. To get the most out of this course, participants should have a basic understanding of financial concepts such as time value of money, interest rates, and financial statements. Familiarity with Excel and basic quantitative skills will be helpful for completing hands-on exercises. While no prior experience in credit analysis or fixed income markets is required, those with a background in finance, accounting, or investment will find the course especially rewarding. By the end of this course, participants will analyze macroeconomic and industry drivers of credit risk across cycles; evaluate specialized markets such as high-yield and distressed debt; integrate ESG factors into comprehensive assessments; and execute end-to-end credit analyses using professional, decision-ready methodologies. They will also design and interpret stress tests and scenario analyses to quantify downside risk using practical, Excel-based models. Finally, they will communicate clear, defensible recommendations to stakeholders aligned with Basel expectations and institutional risk policies.
Google Cloud
Créer des pipelines de données en batch sur Google Cloud
Dans ce cours de niveau intermédiaire, vous apprendrez à concevoir, créer et optimiser des pipelines de données en batch robustes sur Google Cloud. Au-delà des bases de la gestion des données, vous explorerez les transformations de données à grande échelle et l'orchestration efficace des workflows, essentielles pour l'informatique décisionnelle et les rapports critiques. Vous vous entraînerez à utiliser Dataflow pour Apache Beam et Serverless pour Apache Spark (Dataproc Serverless) pour l'implémentation, et vous aborderez des considérations importantes concernant la qualité des données, la surveillance et les alertes pour assurer la fiabilité des pipelines et l'excellence opérationnelle. Il est recommandé d'avoir des connaissances de base sur l'entreposage de données, les processus ETL/ELT, SQL, Python et les concepts de Google Cloud.
The University of Chicago
Global Warming II: Create Your Own Models in Python
This class provides a series of Python programming exercises intended to explore the use of numerical modeling in the Earth system and climate sciences. The scientific background for these models is presented in a companion class, Global Warming I: The Science and Modeling of Climate Change. This class assumes that you are new to Python programming (and this is indeed a great way to learn Python!), but that you will be able to pick up an elementary knowledge of Python syntax from another class or from on-line tutorials.
Khalifa University
Arabic for Beginners: Arabic Alphabet and Phonology
The Arabic specialization is intended for learners with little to no prior knowledge of Arabic. The specialization focuses on providing learners with a well-rounded understanding of the language. Firstly, learners will master the recognition and identification of the Arabic Alphabet and numbers, laying the foundational skills essential for effective communication. Furthermore, learners will delve into the nuances of gender-specific language by distinguishing between the feminine and masculine aspects, contributing to a more nuanced and culturally sensitive use of Arabic. The curriculum also places a strong emphasis on practical application, as students engage in elementary Arabic reading and writing exercises, honing their linguistic abilities. To enhance conversational proficiency, the specialization integrates audiovisual aids and group work, fostering an immersive learning experience. Lastly, students will broaden their communicative competence by describing and comparing a variety of topics relevant to their lives, ensuring that language acquisition is not only functional but also culturally contextualized. This approach creates a dynamic and engaging environment, facilitating a holistic and effective Arabic language learning experience. This course is the first of a three-course specialization in elementary Arabic. It begins with an introduction to the phonology and script of Modern Standard Arabic. During this initial phase, the learners are also introduced to common greetings, expressions, and simple phrases.
Coursera
Predictive Analytics for Business with H2O in R
This is a hands-on, guided project on Predictive Analytics for Business with H2O in R. By the end of this project, you will be able apply machine learning and predictive analytics to solve a business problem, explain and describe automatic machine learning, perform automatic machine learning (AutoML) with H2O in R. We will take a data-driven approach to predict the success of bank telemarketing. H2O's AutoML automates the process of training and tuning a large selection of models, allowing the user to focus on other aspects of the data science and machine learning pipeline such as data pre-processing, feature engineering and model deployment. To successfully complete the project, we recommend that you have prior experience with programming in R, basic machine learning theory, and have trained ML models in R. We will not be exploring how any particular model works nor dive into the math behind them. Instead, we assume you have this foundational knowledge and want to learn to use H2O in R for predictive analytics. 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.
Packt
Advanced Chatbots with Deep Learning and Python
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 is designed to equip learners with the knowledge and skills required to develop advanced chatbots using deep learning and Python. The initial modules provide an overview of chatbots, their evolution, and the benefits of incorporating AI into chatbot development. Learners will gain an understanding of the fundamental differences between conventional chatbots and those powered by deep learning, including generative and retrieval models. As the course progresses, you will delve into the architecture and development of deep learning-based chatbots. Through hands-on modules, you will explore the entire process, from understanding the architecture of encoders and decoders to practical implementations. By working through real-world examples, you will learn to set up environments, import necessary libraries, and prepare data for chatbot training and testing. Each step is clearly outlined to ensure a smooth learning experience. Towards the end, you will focus on building a fully functional chatbot, integrating it with deep learning models, and testing its capabilities. The course concludes with a series of projects that help you consolidate your learning by applying the concepts in various domains such as healthcare, business, and e-commerce. By the end of this journey, you will have developed the proficiency to create robust chatbots that can be deployed in diverse applications. This course is ideal for developers, data scientists, and AI enthusiasts who are interested in building intelligent chatbots. A basic understanding of Python programming and machine learning is recommended to get the most out of this course.
Starweaver
Network Defense Strategies
In today’s interconnected world, secure network design is essential to organizational resilience. As networks expand across offices, plants, and data centers, cyber threats increasingly exploit vulnerabilities such as misconfigurations, weak segmentation, and unmonitored systems. This course equips learners with the skills to design, implement, and manage secure network infrastructures at every stage of their lifecycle. Through a balance of theory and hands-on labs, students will learn to apply principles like defense in depth, least privilege, segmentation, and zero trust. They will gain practical experience configuring VLANs, implementing firewalls and IDS/IPS, and deploying VPN technologies such as IPSec, SSL/TLS, and L2TP. Learners will also practice real-time traffic monitoring, log analysis, and SIEM integration to detect and respond to intrusions. Designed for aspiring network security professionals, system administrators, and IT managers, this course emphasizes scalable architectures, policy-driven operations, and continuous monitoring—preparing learners to protect modern enterprise networks against evolving threats.
Yunus Social Business Fund Bengaluru
Value and Individual Decision Making
This course is part of a Specialization titled “Strategy and Finance for a Lifecycle of a Social Business”. It is an introduction to time value of money and will help the learner understand the basics of finance with the ultimate goal of valuing a company from a societal lens. The beauty of the modern decision-making framework is that it can be used to understand value creation at any level – the individual, the corporate or nonprofit entity level and from the point of view of society. The applications however become increasingly complex as your lens expands from the individual to the corporate/nonprofit to the global society. In this Specialization we will therefore focus on understanding the frameworks and tools that an individual and an entity (a startup or an established corporation, private or public) can use to understand value enhancing decision-making. There are two building blocks of decision making – time value of money and risk. In this first course, we will therefore start with an introduction to time value of money geared toward individual decision-making to both explore and measure the value of our decisions. In the second course, we will use the same framework to evaluate decision-making by entities – businesses – to create value. We will realize how the evaluating value from the lens of multiple stakeholders is inherently more complex. You are also encouraged to think from a societal standpoint because that, ultimately, is the difference between a social and a private business. The societal perspective is the most complex and market prices are typically not available for both the benefits and costs. Although introductory, this course will enable any learner to understand and analyze many decisions they regularly confront. It will also serve very useful if you are keen to hone your finance skills to make good personal decisions. The beauty of modern frameworks and tools of analysis is that they are logical and do not change depending on the purpose of business. However, to demonstrate social impact is very complex because prices for both the public good, and any harm created by our actions, are not available. It is also challenging to determine the incremental effect of a business on society at large. The combination of these issues makes all social impact and value specific to a business, making it even more important to use the same frameworks and tools developed in this Specialization while evaluating any/all impacts of a business.
Simplilearn
Programming with C ++
This C++ Programming Essentials course provides the skills to master programming fundamentals and build efficient, scalable applications. Start with Programming Essentials to learn setup, variables, and strings for strong logic-building. Move to Control Flow to master conditionals, loops, and execution flow. Strengthen coding with Functions and Recursion for modular design, and advance to Friends, Headers, and Arrays to manage data effectively. Explore Pointers and Advanced Arrays for optimized memory use, and conclude with Sorting, References, and OOPs Concepts to apply inheritance, polymorphism, encapsulation, and abstraction for real-world projects. By the end of this course, you will be able to: - Write Efficient Code: Develop reusable, logic-driven, and optimized C++ programs - Apply OOP Concepts: Use inheritance, polymorphism, encapsulation, and abstraction for scalable design - Optimize Memory: Manage resources effectively with pointers and references - Implement Core Logic: Apply sorting, recursion, and control flow to solve complex programming challenges Ideal for beginners and aspiring developers looking to build a strong foundation in C++.
Google Cloud
Adding a Phone Gateway to a Virtual Agent
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will continue working on your Pigeon Travel virtual agent and add a phone gateway to allow users to call into your virtual agent.
Google Cloud
Einführung in Gemini für Google Workspace
Gemini für Google Workspace ermöglicht Kunden den Zugriff auf generative KI-Funktionen in Google Workspace. Dieser Lernpfad vermittelt Ihnen die wichtigsten Gemini-Funktionen. Sie erfahren, wie Sie diese Funktionen in Google Workspace einsetzen können, um produktiver und effizienter zu arbeiten.