The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Pragmatic AI Labs
Machine Learning with Databricks and MLflow
This course teaches you to build, track, and deploy machine learning models on the Databricks platform using MLflow. You start with the reproducibility crisis in ML — understanding why untracked experiments, scattered notebooks, and missing version control create production failures — and learn how MLflow solves these problems with structured experiment tracking, model versioning, and artifact management. You then explore MLflow's architecture in depth: the Tracking layer for logging parameters, metrics, and artifacts; the Model Registry for governance and stage gates; and the Projects layer for reproducible environments. The course covers Feature Store architecture for eliminating training/serving skew, where features are computed once and served two ways — batch for training and real-time for inference. You progress through the ML algorithm spectrum from manual implementations to AutoML, learning when to choose transparency over automation for regulated industries. The second module focuses on production deployment: the MLOps maturity staircase (L0 through L3), inference patterns for batch and real-time serving, and the infrastructure decisions that separate prototype ML from production ML. Hands-on labs on Databricks reinforce every concept.
University of Toronto
Communication Strategies for a Virtual Age
Communication has changed! The traditional rules for speaking and presenting, meeting coordination, influencing people, negotiating and selling ideas no longer apply in a world of skype, messenger, video and teleconference. This course will act as an overview on several concepts each of which could be a course of their own and our goal is to give you tools that you can practice and perfect on your own. By the end of this course, you will be able to: • Apply communication principles and techniques for in-person and virtual teams • Use a science based approach to create impactful presentations • Refine your communication style to better persuade and influence others • Run more effective and impactful meetings • Incorporate strategies to have positive difficult conversations and make people feel valued and listened to *** This course will require you to record yourself speaking. Therefore you must have a phone/computer with a functional camera and microphone.*** WHO SHOULD TAKE THIS COURSE? Anyone looking for professional and/or leadership development. This class mainly uses examples from the professional, business environment. If you are looking to advance at your current organization or to enhancing your personal value for potential employers this course is for you. WHAT MAKES THIS COURSE EFFECTIVE? Many educational experiences describe and explain, but in this course we will apply and demonstrate. We teach practical and proven concepts, show you how to apply them and give you opportunities to practice them in a safe and supportive environment. This course is full of opportunities to put the ideas presented into practice and test their effectiveness for yourself. WHY SHOULD YOU TAKE THIS COURSE? We will challenge the preconceived ideas about what it means to be part of a virtual team, and support you to be a dynamic team contributor no matter where you work. In this course you can expect to be both energized and uncomfortable – like in most experiences that result in positive growth and change! This course is offered through the University of Toronto School of Continuing Studies (https://learn.utoronto.ca/).
University of California, Irvine
Intro to Analytic Thinking, Data Science, and Data Mining
Welcome to Introduction to Analytic Thinking, Data Science, and Data Mining. In this course, we will begin with an exploration of the field and profession of data science with a focus on the skills and ethical considerations required when working with data. We will review the types of business problems data science can solve and discuss the application of the CRISP-DM process to data mining efforts. A brief overview of Descriptive, Predictive, and Prescriptive Analytics will be provided, and we will conclude the course with an exploratory activity to learn more about the tools and resources you might find in a data science toolkit.
University of Illinois Urbana-Champaign
Money and Happiness
What does it mean to live a good life—and how does money fit into that picture? In this course, you'll explore the science behind happiness and financial well-being. Drawing from psychology, behavioral economics, and personal finance, you'll learn how money can both help and hinder our pursuit of a meaningful life. Along the way, you'll reflect on your own values, assess your financial wellness, and discover practical strategies to align your spending with what matters most. Whether you're a student, professional, or lifelong learner, this course will help you understand the complex relationship between money and happiness—and empower you to make choices that support your well-being. By the end of the course, you’ll walk away with a personalized plan to enhance your happiness through intentional financial decisions. This course is part of the College of ACES suite of online programs. To learn more about online programs from the College of ACES and explore ways to apply your Coursera work toward a degree program at the University of Illinois, visit: https://aces.illinois.edu/online.
Google Cloud
Introduction to Large Language Models - 繁體中文
這是一堂入門級的微學習課程，旨在探討大型語言模型 (LLM) 的定義和用途，並說明如何調整提示來提高 LLM 成效。此外，也會介紹多項 Google 工具，協助您自行開發生成式 AI 應用程式。
Georgia Institute of Technology
Engineering Systems in Motion: Dynamics of Particles and Bodies in 2D Motion
This course is an introduction to the study of bodies in motion as applied to engineering systems and structures. We will study the dynamics of particle motion and bodies in rigid planar (2D) motion. This will consist of both the kinematics and kinetics of motion. Kinematics deals with the geometrical aspects of motion describing position, velocity, and acceleration, all as a function of time. Kinetics is the study of forces acting on these bodies and how it affects their motion. --------------------------- Recommended Background: To be successful in the course you will need to have mastered basic engineering mechanics concepts and to have successfully completed my courses en titled an “Introduction to Engineering Mechanics” and “Applications in Engineering Mechanics.” We will apply many of the engineering fundamentals learned in those classes and you will need those skills before attempting this course. --------------------------- Suggested Readings: While no specific textbook is required, this course is designed to be compatible with any standard engineering dynamics textbook. You will find a book like this useful as a reference and for completing additional practice problems to enhance your learning of the material. --------------------------- The copyright of all content and materials in this course are owned by either the Georgia Tech Research Corporation or Dr. Wayne Whiteman. By participating in the course or using the content or materials, whether in whole or in part, you agree that you may download and use any content and/or material in this course for your own personal, non-commercial use only in a manner consistent with a student of any academic course. Any other use of the content and materials, including use by other academic universities or entities, is prohibited without express written permission of the Georgia Tech Research Corporation. Interested parties may contact Dr. Wayne Whiteman directly for information regarding the procedure to obtain a non-exclusive license.
Coursera
Use Canva to Create Social Media Marketing Designs
By the end of this project, you will create a sample social media graphic for business. The graphic is shareable across your business’ social media platforms. You will be able to incorporate the color palette from your business style guide, in order to create brand recognition as part of your social media marketing strategy. This course will include an introduction to Canva, how to determine your canvas size for a social media post, incorporate images specific to your business into a social media post, and prepare a post for your social media channels. 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.
Google Cloud
ETL Processing on Google Cloud Using Dataflow and BigQuery
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will build several Data Pipelines that will ingest data from a publicly available dataset into BigQuery.
Coursera
Data Privacy and Protection Standards
In today's digital age, Data Privacy and Protection Standards are pivotal for organizations across all sectors to safeguard sensitive information, comply with international regulations, and maintain the trust of clients and customers. This course provides a comprehensive understanding of the foundational principles of data privacy, the latest in protection standards, and practical approaches to implementing robust data protection measures. Participants will explore key regulations such as the GDPR and CCPA, delve into technical and organizational strategies for data security, and learn how to handle data breaches effectively. Through this course, learners will gain insights into the rights of data subjects and the ethical considerations surrounding data protection. Upon completion, participants will be equipped with the knowledge to navigate the complexities of data privacy laws and implement measures that ensure data integrity and confidentiality. This course is designed to empower professionals to build and maintain data protection frameworks that align with global standards and foster a culture of privacy within their organizations. This course is tailored for privacy and IT professionals, security analysts, compliance officers, and data protection specialists working across various sectors. It is also highly relevant for business leaders, project managers, and legal advisors responsible for managing and safeguarding personal data within their organizations. Additionally, individuals interested in understanding data privacy laws, ethical considerations in data handling, and implementing effective data protection measures might find this course valuable. No specific prerequisites are required for this course. A basic understanding of information technology and familiarity with general business operations will be helpful but are not essential. An interest in data privacy, protection standards, and a commitment to ethical data management practices will greatly benefit participants. After completing this course, learners will analyze global data privacy regulations like GDPR, CCPA, and others, gauging their impact on businesses worldwide. They'll apply data protection strategies, employing technical and organizational measures to secure personal data and prevent breaches. Additionally, they'll develop skills in ensuring compliance by conducting data protection impact assessments and implementing necessary policies, establishing a robust framework for ethical data handling and regulatory adherence.
LearnQuest
클라우드 컴퓨팅 기초(Cloud 101)
클라우드 컴퓨팅 기초(Cloud 101)에 오신 것을 환영합니다. 앞으로 몇 주에 걸쳐 클라우드 컴퓨팅의 기초에 대해 논의하게 됩니다. 여기에서는 클라우드 컴퓨팅이 무엇인지, 무엇을 지원하며, 어떻게 제공되는지를 알아봅니다. 스토리지 서비스, 클라우드 경제성, 관리형 인프라 수준 및 Azure 서비스에 대해 알아봅니다. 또한 클라우드 컴퓨팅의 다양한 배포 모델과 여러 호스팅 시나리오를 살펴봅니다. 마지막으로, 몇 가지 클라우드 플랫폼을 비교하고 클라우드 컴퓨팅의 미래에 대해 논의할 것입니다.
Packt
Foundations of Data Structures and Algorithm Analysis
Unlock the power of algorithms and data structures with this comprehensive course. Begin your journey by mastering essential concepts such as Big O notation, space complexity, and recursion. Through clear explanations and practical examples, you'll learn to analyze algorithm efficiency and optimize solutions for real-world challenges. Dive into fundamental data structures, including arrays, linked lists, stacks, queues, and hash tables. Explore advanced topics like trees, heaps, and tries, with insights into binary trees, AVL trees, and graph structures. Each module builds on the last, blending theory with hands-on coding in Python to solidify your understanding. The course emphasizes a step-by-step approach, making complex concepts accessible. Learn not just the "how" but also the "why," with practical applications such as priority queues, hashing, and dynamic programming. Whether it's mastering sorting algorithms or implementing efficient search methods, you'll gain the skills to solve problems efficiently. Designed for aspiring developers, computer science students, and professionals, this course requires basic programming knowledge. It's perfect for anyone ready to enhance their problem-solving abilities and prepare for technical interviews. With beginner-to-intermediate difficulty, you'll be well-equipped to tackle coding challenges confidently.
Google Cloud
Memulai Security Command Center Enterprise
"Kursus ini memberikan ringkasan komprehensif terkait Google Cloud Security Command Center (SCC) Enterprise, yakni solusi Platform Perlindungan Aplikasi Berbasis Cloud (CNAPP) yang membantu organisasi mencegah, mendeteksi, dan merespons ancaman di seluruh layanan Google Cloud. Anda akan mempelajari fitur-fitur utama SCC Enterprise, termasuk pendeteksian ancaman yang lebih baik, pengelolaan kerentanan yang mendalam, dan pengelolaan kasus yang terintegrasi. Konsep dasar pengelolaan ancaman dan penilaian kerentanan juga akan dibahas, beserta demonstrasi praktis penggunaan SCC Enterprise untuk mengidentifikasi, menyelidiki, dan memperbaiki risiko keamanan di lingkungan multi-cloud Anda."
University of Michigan
Learning Experience Design: Orientation to the Profession
In Orientation to the Profession, you’ll be introduced to the “big ideas” of LXD. Begin with the essential aspects of the design process, from ideation to evaluation. During this section, you’ll also take a brief look at learning theories and design frameworks that help LXDs move from an initial concept to a completed course. Examine the instructional triangle to identify productive interactions in support of learning, and understand how technology can be used throughout the design process and by learners during the course. Gain insight into the foundational ideas of inclusive design and study principles of Universal Design for Learning. Finally, you’ll hear from several learning professionals, as you situate yourself in the field and start to map your own career path. This course will include an immersive activity where you can experience what it is like to join a project team as a new learning experience designer. By participating in this orientation, you’ll gain an appreciation for the creativity and complexity of the profession, and be well-positioned to continue on in the series. For teachers in the state of Michigan: This series, "An Introduction to Learning Experience Design (LXD)," is approved in the state of Michigan for a maximum of 44.5 State Continuing Education Clock Hours (SCECHs) for teachers. The successful completion of all 3 courses in the series will be required to claim SCECHs.
Infosec
Introduction to Privacy - Part 3
Part 3 of the Privacy Fundamentals explores information security and data protection and how to manage a security breach. We will also take a look at continual improvement which includes understanding performance, exploring metrics, different audit methodologies and more.
ESSEC Business School
Managers du changement
L’objectif de ce Mooc est de montrer aux managers le rôle clé qu’ils jouent dans les projets de changement. Ce Mooc donne des éléments de réponses concrets à la question « Comment manager le changement au quotidien avec son équipe ? ». Pour cela ce Mooc propose 6 séquences avec des analyses, des outils et de nombreux témoignages. Le contenu de ce Mooc est illustré par des témoignages de managers de l’entreprise COVEA. Ce Mooc met en avant cinq compétences clé pour déployer un changement au niveau local auprès d’une équipe : - Prioriser et gérer les marges de manœuvre du changement - Traduire les changements - Co-construire en mode collaboratif - Gérer les différents types de comportements - Piloter et ancrer durablement le changement
Universidad Nacional Autónoma de México
Grabación y postproducción musical dentro y fuera del estudio
En este curso aprenderás a elaborar una producción musical con Ardour. Vamos a trabajar la preproducción, grabación y postproducción de un proyecto musical. Al término, podrás discernir cuándo es que tu arreglo musical está listo para grabación, cómo escoger los micrófonos y posicionamientos adecuados para los mismos, así como el trabajo después de la grabación. Finalizamos el curso con una grabación masterizada, lista para distribución.