The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Google Cloud
Architecting Google Kubernetes Engine Production in italiano
In questo corso, ""Architecting with Google Kubernetes Engine: Production"", imparerai a conoscere la sicurezza di Kubernetes e Google Kubernetes Engine (GKE), logging e monitoraggio e a utilizzare i servizi di archiviazione e database gestiti di Google Cloud dall'interno di GKE. Si tratta del corso finale della serie Architecting with Google Kubernetes Engine. Dopo il completamento di questo corso, iscriviti al corso Reliable Google Cloud Infrastructure: Design and Process o al corso Hybrid Cloud Infrastructure Foundations with Anthos.
Stanford University
Introduction to Logic
This course is an introduction to Logic from a computational perspective. It shows how to encode information in the form of logical sentences; it shows how to reason with information in this form; and it provides an overview of logic technology and its applications - in mathematics, science, engineering, business, law, and so forth.
Imperial College London
Systematic Creative Thinking: Tools for Success
Creativity is a widely acclaimed attribute. A range of creativity tools are available that rely on creativity principles to enable systematic idea generation. This module builds on the first module where various types of brainstorming were introduced along with the creativity diamond framework which provides a guide to which type of creative approach to use. Here we will introduce systematic creativity tools that can be used to provoke a wide range of ideas that might not normally arise and can be used to augment your innate creativity. WHAT YOU WILL LEARN • Familiarity with a range of approaches to creativity • The principles of morphological analysis for generating ideas • the principles of invention • To be able to identify the recommended principles of invention for a given scenario of improving and worsening features • How to use the SCAMPER creative idea provocation tool • Use of the creativity diamond framework to guid what approach to creativity to use SKILLS YOU WILL GAIN • Familiarity with a range of approaches applied to creativity • Systematic idea generation and creativity • Being able to use a morphological chart to develop a range of solutions • How to produce a morphological chart • use of the TRIZ contradiction matrix in identifying principles of invention for resolving contradictions in problem solving • Application of the SCAMPER creative idea provocation tool
University of Maryland, College Park
Our Global FEWture: Cultivating Food-Energy-Water Solutions
This course focuses on the Food-Energy-Water (FEW) nexus as an example of integrated systems thinking in science that can resolve resource gaps and help communities plan for the future. Through a series of four modules, learners will view lectures on the nexus approach, the challenges of climate change to FEW resources, specific challenges and programs from four global locations, and a survey of diverse technologies and solutions that are essential to providing enough food, energy, and water for current and future generations. Learners will complete short multiple choice content quizzes, and short answer reflective essays on the topics, all with an aim to educate and empower learners to pursue FEW nexus solutions in their own communities.
Google Cloud
Sécuriser des réseaux VPC - Cloud Next Generation Firewall
Ce cours, le troisième de la série "Configurer le pare-feu nouvelle génération", vous montre comment sécuriser votre infrastructure VPC à l'aide de Cloud Next Generation Firewall (NGFW). Découvrez comment implémenter des stratégies hiérarchiques et de réseau, définir le champ d'application des règles de pare-feu et configurer la détection et la prévention des intrusions pour contrer les menaces.
Indian School of Business
Creating a Portfolio
This course integrates all the learning from the first three courses and guides the learner about ways of building a portfolio of strategies and integrating the same into a hedge fund. In the first part of the course, you will be taught ways of measuring the contribution of a strategy to a portfolio in terms of risk and return. You will be able to appreciate the consequences of including a strategy to a new as well an existing portfolio. Next, you are taught various ways of conducting the tilting analysis in order to determine the optimal weight to be placed on each strategy. After this you will learn to develop techniques for minimizing overall portfolio risk. You will also get a basic overview of the regulatory framework that is applicable to hedge funds. You will know about different types of investors and the expectations of each type of investors.
Coursera
Exploratory Data Analysis With Python and Pandas
In this 2-hour long project-based course, you will learn how to perform Exploratory Data Analysis (EDA) in Python. You will use external Python packages such as Pandas, Numpy, Matplotlib, Seaborn etc. to conduct univariate analysis, bivariate analysis, correlation analysis and identify and handle duplicate/missing data. 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.
Coursera
Parse & Normalize Data for ML Pipelines
Poor data preprocessing causes 80% of ML production failures, making data quality more critical than algorithm choice. This comprehensive course equips Java developers with essential skills to build enterprise-grade preprocessing pipelines that transform messy real-world data into ML-ready features. Through hands-on labs using OpenCSV and Apache Commons CSV, you'll master parsing techniques for large datasets while implementing normalization strategies including Min-Max scaling and Z-score standardization. You'll architect modular workflows using builder patterns that integrate with Java ML frameworks like Weka and DL4J. Interactive coach dialogs simulate real production scenarios including debugging pipeline failures and resolving model performance issues under enterprise constraints. This course is ideal for aspiring data scientists, machine learning engineers, and data analysts who want to strengthen their understanding of data preprocessing. It’s also valuable for software developers working on ML projects or anyone seeking to improve data quality for analytics and modeling. Learners should have intermediate Java programming skills with a solid grasp of object-oriented concepts, basic knowledge of data structures and file I/O, and a foundational understanding of machine learning principles such as features and training/testing datasets. Familiarity with build tools like Maven or Gradle will also be helpful for managing and running projects efficiently. By course completion, you'll confidently build preprocessing pipelines that maintain data integrity from development through production, implement validation techniques that catch data drift, and create monitoring systems for consistent performance at scale. This course provides practical expertise to eliminate data quality issues that plague most ML projects.
Google Cloud
Optimizing Your Google Cloud Costs 日本語版
Optimizing Your Google Cloud Platform (GCP) Costs は、GCP の請求管理とコスト管理の基礎を学ぶ 2 部構成の 2 番目のコースです。 このコースは、財務または IT（あるいはその両方）の担当者で、組織のクラウド インフラストラクチャの最適化を担う方に最適です。 ここでは GCP コストを管理して最適化する方法として、予算とアラートの設定、割り当て上限の管理、確約利用割引の活用などについて学びます。 ハンズオンラボでは、さまざまなツールを使用して、GCP コストを管理して最適化したり、コスト最適化のベスト プラクティスを採用するようテクノロジー チームに働きかけたりする実習を行います。
Atlassian
Introduction to Jira
Jira is one of the most powerful and widely used tools for project tracking and collaboration. In this beginner-friendly course, start with basic Jira terms and concepts and learn to navigate the interface. Then, discover how to effectively organize work. No matter your role or experience with Jira, this course will, this course will give you the foundation to use Jira with confidence. Start here on Coursera with beginner topics. Next, continue with intermediate lessons on Atlassian Learning, where you can then validate your knowledge with official credentials. Benefits of this course - In-depth lessons that are practical and easy to follow - Step-by-step guidance designed for beginners - Gain confidence with Jira throughout your career - A foundation for more advanced training through Atlassian Learning
Google Cloud
Responsible AI for Developers: Privacy & Safety
This course introduces important topics of AI privacy and safety. It explores practical methods and tools to implement AI privacy and safety recommended practices through the use of Google Cloud products and open-source tools.
LearnQuest
The Java Language
This is the second course in the Java as a Second Language Specialization. In this course, we'll take a look at Java data types, discuss what primitive data types are, and explain data classes. We'll also explore characters and strings and you'll add a new class in the lab. Next, we'll take a look at Java Control Structures. We'll explain IF statements, Loops, and arrays, and will discuss Switch Statements and the Java Programming Environment. After that, we'll define inheritance and explore how methods and properties are inherited in Java. We'll also discuss polymorphism and overloading functions before completing a lab and quiz. The final module discusses how all of the things we've learned in the previous lessons together will come together for our final lab. The labs in this course require you to download and install the Java environment. The instructor walks you through the installation of the environment in course 1 of this Specialization. It is recommended that you take these courses in order because the knowledge is cumulative.
Alfaisal University | KLD
محاسبة الممتلكات والمنشآت والمعدات
تمتلك جميع الشركات حول العالم مجموعة من الأصول (Assets) منها الأصول الثابتة (Fixed Assets) مثل: المباني والسيارات والأراضي والآلات التي تمتلكها الشركات ليس بغرض البيع بل بغرض الاستخدام في التشغيل والإنتاج، والأصول المتداولة (Current Assets) مثل: المخزون (Inventory) الذي تمتلكه بغرض البيع. هذه الدورة هي دورة تمهيدية؛ فهي تلقي الضوء على أساسيات الموضوع بشكل عام بهدف التعريف به وبمحاوره الأساسية التي يجب الإلمام بها. إذا كنت من المهتمين بإتقان محاسبة الممتلكات والمنشآت والمعدات، أو كان مجال عملك يتطلب فهم هذا المجال وتوظيفه في سياق العمل، فهذه الدورة ستكون مثالية لإغناء خبرتك وتطوير مهاراتك بشكل فعال ومؤثر ينعكس بنتائج ملموسة على أعمالك. حيث ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: الفرق بين مفهومي القيمة العادلة والتكلفة التاريخية، كيفية إجراء المعالجة المحاسبية لعملية بيع الأصول، مصطلح إطفاء الأصول، المعالجة المحاسبية لإهلاك الأصول، كيفية التعامل مع النفقات اللاحقة لشراء الأصل.
Johns Hopkins University
Advanced Linear Models for Data Science 2: Statistical Linear Models
Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following: - A basic understanding of linear algebra and multivariate calculus. - A basic understanding of statistics and regression models. - At least a little familiarity with proof based mathematics. - Basic knowledge of the R programming language. After taking this course, students will have a firm foundation in a linear algebraic treatment of regression modeling. This will greatly augment applied data scientists' general understanding of regression models.
Northeastern University
Ethics and Governance in the Age of Generative AI
This course is best suited for individuals who are looking to expand their understanding of generative AI and best practices for the responsible, ethical incorporation of generative AI tools in the flow of work. This course explores the ethical and technical dimensions of developing and deploying AI models with a focused lens on generative AI. It examines the ethical and societal considerations of emerging technologies and unique challenges posed by generative AI. This course details the mechanics of genAI, and technical strategies to reduce bias. It explores the RAI principles, strategy, and governance surrounding generative AI. By the end of this course you will have a developed understanding of the nuances of the ethical and technical intricacies shaping the development and deployment of AI models, with a particular focus on generative AI.
University of the Arts London
Creative AI: Text and Transformations
This course explores how artificial intelligence is reshaping the way we write, read, and engage with language. Focusing on generative text models, creative writing, and critical perspectives, you’ll learn how language models are trained, how artists and writers are using them in practice, and what social, ethical, and cultural questions they raise. By the end of the course you will be able to: Explore how AI can generate and manipulate language using tools like RNNs, LSTMs, and large language models such as GPT. Understand how machine learning systems represent meaning, similarity, and structure in text through vector spaces and model training. Evaluate the social and ethical implications of language models, including disinformation, bias, surveillance, and the future of authorship. Experiment with code-based and web-based tools for generating text, and reflect on how AI might expand or challenge your own writing practices. Through creative walkthroughs, coding demos, and critical discussions, you’ll learn how language models function, reflect on how they relate to broader histories of text production, and examine the cultural impact of machine-generated language in media, publishing, and online discourse. Featuring insights from leading researchers, technologists, and experimental writers, this course provides both the conceptual grounding and practical tools to begin working with AI in your own creative text-based projects. No coding experience is required, just curiosity and a desire to explore new forms of writing and expression.