The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
LearnKartS
Introduction to AI and Machine Learning
Ready to witness the future of technology? AI and Machine learning are more than buzzwords—they drive industry innovation. This foundational course for the AWS Certified AI Practitioner Specialization uses hands-on practice and real-world applications to make learning more relevant. You'll learn about Supervised and Unsupervised learning, ML algorithms, Neural networks, Deep Learning, Natural Language Processing, computer vision, and important data approaches like Feature engineering and Data wrangling through engaging videos and guided demos. Unlike passive theory-based courses, this AWS AI Practitioner training course enables you to apply principles using Amazon SageMaker for training, deployment, and optimization, making your learning more practical and meaningful. This course is appropriate for both beginners and professionals who want to strengthen or refresh their knowledge of AI and machine learning. In the end, you'll be able to successfully use AWS, apply ML approaches, explore advanced topics, and acquire hands-on experience developing and deploying models with Amazon SageMaker.
University of Minnesota
Matrix Factorization and Advanced Techniques
In this course you will learn a variety of matrix factorization and hybrid machine learning techniques for recommender systems. Starting with basic matrix factorization, you will understand both the intuition and the practical details of building recommender systems based on reducing the dimensionality of the user-product preference space. Then you will learn about techniques that combine the strengths of different algorithms into powerful hybrid recommenders.
University of Michigan
Advanced Concepts in Time Value of Money (TVM)
This course builds upon the fundamental concept of Time Value of Money (TVM) using more advanced applications and questions. You will apply the TVM concept in real-life problems of financial planning and saving for college. You will also learn more about loans and apply TVM concepts to borrowing and lending. You will realize that — while the applications are seemingly more complex, but when seen and broken-up into bite-size components — the framework, principles, and tools remain the same. After completing this course you will have an understanding of the detailed mechanics and reasoning behind any decision you make that has consequences for the future. The deeper exposure to financial transactions you will be applicable in any/all decisions. The great news is that these concepts and skills will transfer to your professional/business decisions. This course is part of the four-course Foundational Finance for Strategic Decision Making Specialization.
DeepLearning.AI
JavaScript RAG Web Apps with LlamaIndex
Get started building full-stack RAG web applications. This course introduces the basics of Retrieval Augment Generation (RAG), including its practical implementation with JavaScript. You’ll assemble an intelligent agent capable of running its own queries. This course will guide you through the process of building a full-stack JavaScript web application, from the API server to a React component that queries your data. You’ll also learn to develop persistent chat that streams your answers to an interactive front-end in real time. Learn from Laurie Voss, VP of developer relations at LlamaIndex, web developer and the co-founder of npm, the central registry of JavaScript packages. In this course: 1. Learn to build a RAG application in JavaScript for querying your own data. 2. Develop tools to interact with multiple data sources using a router query engine that intelligently selects the right tool for your queries. 3. Build a full-stack web application step by step, starting with a backend web app and progressing to an interactive React frontend that calls your API to display query results. 4. Learn about production-ready techniques, including persisting your data, chatting with your data, and streaming responses for multiple queries. 5. Create a user-friendly web app that can chat with data using the create-llama command line tool from LlamaIndex. Start building RAG web applications in JavaScript that allow you to interact with your data using LlamaIndex.
Northeastern University
Promoting Equal Opportunity & Diversity in Workplaces
Examines issues including discrimination and bias, sexual harassment and workplace romance, professional and personal development, power and privilege, work and family, and organizational strategies for promoting equal opportunity and a multicultural approach for leveraging diversity and inclusion. Diversity in the workplace involves recognizing and capitalizing on individual differences such as religion, gender, race, ethnicity, sexual orientation, national origin, age, and physical ability/disability. Leaders need to address issues of diversity in strategic and ethical ways if they are to compete and succeed in a global economy.
Dell
Dell Technologies Technical Support Career Introduction
This course is designed to equip aspiring tech support professionals with the knowledge, skills, and strategies needed to thrive in the fast-paced world of technical support. This course is perfect for individuals looking to start a career in tech support or seasoned professionals aiming to refine their skills and advance their careers. No previous background experience or training is necessary to be successful. Through a series of comprehensive modules, participants will learn about the crucial roles and responsibilities of tech support professionals, the key factors that contribute to success in the field, effective strategies for acing job interviews, and methods for staying current with industry trends. By the end of the course, learners will have a clear understanding of what it takes to excel in tech support and how to position themselves as top candidates in this competitive industry.
Yale University
Understanding Medical Research: Your Facebook Friend is Wrong
How can you tell if the bold headlines seen on social media are truly touting the next big thing or if the article isn't worth the paper it's printed on? Understanding Medical Studies, will provide you with the tools and skills you need to critically interpret medical studies, and determine for yourself the difference between good and bad science. The course covers study-design, research methods, and statistical interpretation. It also delves into the dark side of medical research by covering fraud, biases, and common misinterpretations of data. Each lesson will highlight case-studies from real-world journal articles. By the end of this course, you'll have the tools you need to determine the trustworthiness of the scientific information you're reading and, of course, whether or not your Facebook friend is wrong. This course was made possible in part by the George M. O'Brien Kidney Center at Yale.
Empower School of Health
Healthcare Revolution
This module delves into the transition from digital automation (Healthcare 4.0) to a human-centered, intelligent healthcare system (Healthcare 5.0). Learners will know applications and challenges of Healthcare 4.0 and insights into Healthcare 5.0.
Alberta Machine Intelligence Institute
실용 머신 러닝 소개
이 강좌는 머신 러닝에 관심이 있으며 데이터 분석 및 자동화에 머신 러닝을 적용하길 원하는 전문가를 위한 강좌입니다. 이 강좌는 금융, 의약품, 공학, 비즈니스 등 분야와 상관없이 머신 러닝 프로젝트에서 문제를 정의하고 데이터를 준비하는 방법을 소개합니다.이 강좌를 수료하고 나면 머신 러닝 문제를 두 가지 접근 방법으로 정의할 수 있을 것입니다. 또한 이용 가능한 데이터 자료를 조사하고 잠재적 ML 적용을 알아보는 방법을 알게 될 것입니다. 비즈니스 니즈를 파악하고 실용 머신 러닝에 적용하는 방법을 알게 될 것입니다. 그리고 머신 러닝을 효과적으로 적용하기 위해 데이터를 준비할 수 있을 것입니다.이 강좌는 Coursera와 Alberta Machine Intelligence Institute에서 준비한 첫 번째 실용 머신 러닝 전문 과정입니다.
Arizona State University
Probability, Statistical Inference and Regression Analysis
Welcome to Probability, Statistical Inference and Regression Analysis. This course is an introduction to statistical methods and thinking, focusing on modern applications. Some of the concepts will be familiar to those who have taken an elementary statistics course. However, some of the topics presented here extend those ideas into new and emerging applications. These contemporary applications include graphics and data visualization, big data, and newer analytical methods, such as bootstrapping. Acquiring a strong foundation in Regression Analysis is an objective of this course. There is a companion book available that was written by our instructors and would be an excellent companion guide for learners who'd like to further deepen their knowledge of these topics. Proceed to the first module for further details, and to begin learning about Descriptive Statistics.
Johns Hopkins University
Artificial Intelligence in Social Media Analytics
In the course "Artificial Intelligence in Social Media Analytics", learners will explore the intersection of artificial intelligence and social media analytics, equipping them with essential skills to navigate and analyze digital landscapes. By delving into machine learning fundamentals, natural language processing, sentiment analysis, and topic modeling, participants will gain practical experience in applying AI techniques to real-world social media data. This course stands out by providing not only theoretical insights but also hands-on opportunities to construct classifiers, perform sentiment analysis, and build semantic networks, all tailored to the complexities of social media content. As learners progress, they will develop a keen understanding of how AI can uncover hidden patterns, sentiment, and topics within vast amounts of unstructured data. The unique blend of foundational concepts and practical applications ensures that participants can effectively analyze social media interactions and derive actionable insights. Whether for career advancement or personal interest, this course offers a comprehensive toolkit to leverage AI for understanding social dynamics and enhancing engagement strategies in digital platforms.
Dassault Systèmes
xDesign Revolution and Cut Features
Welcome to xDesign Revolution and Cut Features, the third course in the SOLIDWORKS xDesign for Education Specialization. To get the most out of this course, you should first complete the previous two courses in the series. This course focuses on feature refinement and advanced geometry creation using cuts and revolved features. Upon completion of this learning module, you will be able to: - Create extruded cuts - Apply fillets/chamfers - Create revolve boss - Apply revolve cut This course is ideal for learners who want to explore new tools for creating axisymmetric objects and refining their designs. Software Prerequisites: 3D Creator Access powerful capabilities for Engineering with SOLIDWORKS xDesign at a low price, $72 (excluding taxes), follow this link : https://go.3ds.com/CXD1
Coursera
From Concept to Critique: Prototyping with Sketch
In this course, you will create interactive click-through prototypes by connecting wireframes using Miro and Sketch's basic prototyping features. You will also learn to develop design critiques, and how to leverage them to iterate on your own designs based on the feedback received. These activities will help you develop essential skills in creating engaging user experiences and collaborating effectively with others to refine and improve your work.
Coursera
Create Customer Support Data with Google Sheets
By the end of this project, you will create a Google Sheet that transforms a business’s raw customer support data into a useful data set that provides the business with an overview of past support requirements. You will be able to determine which areas of the business are exceeding standards and which departments are performing below standard. This course will include an introduction to Google Sheets, how to leverage formulas, how to link multiple tabs, and how to utilize Google Sheets to determine if support is being provided within the required levels of service. 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
Awwvision: Cloud Vision API from a Kubernetes Cluster
This is a self-paced lab that takes place in the Google Cloud console. This hands-on lab uses Kubernetes and Cloud Vision API to create an example of how to use the Vision API to classify (label) images from Reddit’s /r/aww subreddit and display the labelled results in a web app.
EDUCBA
3D Graphics with DirectX: Apply & Integrate
By the end of this course, learners will be able to define and explain the DirectX rendering pipeline, apply shaders and 3D transformations, analyze and integrate depth rendering, and create complete models with lighting for interactive applications. This intermediate-level course empowers learners to move beyond the basics of DirectX into building dynamic, realistic 3D graphics. Through four structured modules, learners progress from mastering the rendering pipeline to implementing advanced shader effects, performing precise 3D transformations, and managing depth for accurate visibility. The course concludes with creating models, applying different lighting techniques, and synthesizing all elements into a fully functional DirectX application. Learners benefit by gaining hands-on skills in shader programming with HLSL, efficient buffer management, and the mathematical foundations of 3D graphics. The unique strength of this course lies in its step-by-step progression, blending conceptual clarity with practical coding exercises—ensuring both comprehension and application. Whether preparing for a career in game development, simulation design, or graphics programming, this course provides the essential tools and knowledge to confidently implement, evaluate, and create sophisticated DirectX projects.