The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Birla Institute of Technology & Science, Pilani
Introduction to Computing Systems
Welcome to the "Introduction to Computing Systems" course! This course aims to teach you what a computer is and how it can be programmed. In this course, you will learn about the basic building blocks required to understand the structure of a computer. You will gain insights into numbers, bits, structures to implement operations on numbers, and structures to control the execution of commands by a computer. This course introduces you to logic gates and combinational and sequential circuits. You will learn about a simple processor design with a small instruction set architecture. You will also perform basic assembly programming with that processor. This course covers a wide variety of topics in computing systems that are designed to give you an overview of what’s to come in the BITS Pilani BSc Computer Science degree program.
Coursera
Building Your First AI Agent with OpenAI
The Building Your First AI Agent with OpenAI course provides a practical introduction to creating intelligent, tool-using AI agents. Learners begin by understanding the key differences between reactive chatbots and proactive agents, mapping out the five core components of agentic architecture. The course then explores the OpenAI Responses API, GPT-4/5 models, and built-in tools such as browser, code interpreter, and file search, showing how they extend agent capabilities for real-world tasks. Through guided lessons, learners configure secure API access, manage tokens and costs, and design system prompts that define agent behavior. They also add reasoning patterns like chain-of-thought and reflection to improve reliability, before integrating multiple tools into a unified agent system. Hands-on projects, including building a technical support agent, reinforce skills in architecture design, tool integration, and performance optimization. By the end, learners will have built a fully functioning AI agent capable of handling complex multi-step tasks and decision-making with autonomy and reliability.
University of Michigan
Sustainability Leadership Development
How organizations and society respond to declines in environmental and social capital is the defining issue of our times. “Sustainability Leadership” explores and analyzes the concepts and application of leadership to empower you to be a positive change agent during this critical time. This course prepares current and future sustainability professionals to tackle “wicked problems” — challenges that are difficult to solve due to incomplete, contradictory, or changing information and that stem from simultaneously addressing environmental and interrelated social and economic issues. This requires a rethinking of how people and organizations exert leadership. Each module will explore how power structures, social justice, and equity impact organizations and how leaders can utilize ethics and values to set and achieve goals. You'll learn to apply sustainability leadership to real-world situations through lectures, conversations with key leaders, case studies, self-assessments, readings, videos, and podcasts. By the end of the course, you’ll draft a personalized action plan that can help begin or advance your career in sustainability and provide a sound basis to start transforming your organization for good. This is the third course in “Green Skills for a Sustainable and Just Future," a course series dedicated to shaping the next generation of sustainable practices and leadership.
Coursera
Develop and Evaluate LLM Features Effectively
Develop and Evaluate LLM Features Effectively is an intermediate course designed for product managers, QA professionals, and developers working on AI-powered features. This course teaches you how to prevent common LLM failures—like providing illegal advice or having bizarre conversations—by implementing professional product management practices. You will learn to create a Product Requirements Document (PRD), establishing a single source of truth that defines scope, MVP features, and success metrics for an LLM product. You will then shift from planning to validation, learning to build and execute a User Acceptance Testing (UAT) plan based on testable user stories. Through hands-on activities, you will draft a PRD for an HR chatbot and test a simulated feature for functional gaps and dangerous edge cases. By the end of this course, you will be able to ensure that the features you build are not only technically sound but also safe, effective, and aligned with your original vision.
Coursera
Estimate Agile Work with Story Points
Ready to move beyond flawed, time-based estimates? This beginner-level course, Estimate Agile Work with Story Points, is for any professional on an agile team who wants to build confidence in project planning. You will learn to replace stressful, hour-based guesses with story points—a collaborative, relative measure of effort that captures complexity and uncertainty. Through expert-led videos, real-world case studies from companies like ING Bank, and hands-on practice, you will master the art of relative estimation. You will learn to articulate the value of story points to stakeholders, record them in tools like Jira and Asana, and use your team’s historical data (velocity) to create sprint plans you can actually deliver. By the end of this course, you will have the skills to drive more accurate, predictable, and collaborative planning in any agile environment.
Imperial College London
Mathematics for Machine Learning: PCA
This intermediate-level course introduces the mathematical foundations to derive Principal Component Analysis (PCA), a fundamental dimensionality reduction technique. We'll cover some basic statistics of data sets, such as mean values and variances, we'll compute distances and angles between vectors using inner products and derive orthogonal projections of data onto lower-dimensional subspaces. Using all these tools, we'll then derive PCA as a method that minimizes the average squared reconstruction error between data points and their reconstruction. At the end of this course, you'll be familiar with important mathematical concepts and you can implement PCA all by yourself. If you’re struggling, you'll find a set of jupyter notebooks that will allow you to explore properties of the techniques and walk you through what you need to do to get on track. If you are already an expert, this course may refresh some of your knowledge. The lectures, examples and exercises require: 1. Some ability of abstract thinking 2. Good background in linear algebra (e.g., matrix and vector algebra, linear independence, basis) 3. Basic background in multivariate calculus (e.g., partial derivatives, basic optimization) 4. Basic knowledge in python programming and numpy Disclaimer: This course is substantially more abstract and requires more programming than the other two courses of the specialization. However, this type of abstract thinking, algebraic manipulation and programming is necessary if you want to understand and develop machine learning algorithms.
National Taiwan University
基礎光學一 (Introduction to Optics (1))
以深入淺出的概念說明日常生活與科學應用中常見的光學現象，特色在於大量的範例以及實驗展示。
Google Cloud
Introduction to Large Language Models - 简体中文
这是一节入门级微学习课程，探讨什么是大型语言模型 (LLM)、适合的应用场景以及如何使用提示调整来提升 LLM 性能，还介绍了可以帮助您开发自己的 Gen AI 应用的各种 Google 工具。
University of Michigan
How Science Turns Data Into Knowledge
How Science Turns Data Into Knowledge teaches you how to evaluate scientific claims critically, address experimental limitations, and recognize the roles of trust and responsibility within research. During the course, you’ll explore the nuances of significance testing, scientific research methods, and science communication, emphasizing the importance of carefully interpreting statistical results. After learning about the scientific process, you’ll learn how science can make its way into the news cycle—and how critical context can be lost amidst the noise. By the end of the course, you’ll be able to think more critically about the media you consume and how you can view science news and information with a more nuanced perspective. This is the second course in Understanding Data: Navigating Statistics, Science, and AI Specialization, in which you’ll gain a core foundation for statistical and data literacy and gain an understanding of the data we encounter in our everyday lives.
EDUCBA
Build & Optimize React Native Product Listing Apps
By the end of this course, learners will be able to design, develop, optimize, and enhance a complete React Native product listing application using real-world development practices. This hands-on case study–driven course walks learners step by step through building a scalable product listing app from scratch. Starting with project setup and core navigation, learners progress to implementing dynamic product lists using FlatList, integrating API-driven data, and customizing layouts to improve usability and branding consistency. The course then advances into reusable component design, infinite scrolling with pagination, real-time search functionality, and polished UI animations. Learners benefit by gaining practical experience with performance optimization, clean component architecture, and user-centric design patterns commonly used in modern mobile applications. Each concept is reinforced through incremental development, making it easier to understand how individual features come together in a production-ready app. What makes this course unique is its end-to-end case study approach, focusing not just on how features work, but why they are implemented in a certain way. This course is ideal for developers who want to move beyond basics and confidently build professional, scalable React Native applications suitable for real-world projects.
University of Pennsylvania
Microeconomics: When Markets Fail
Perfect markets achieve efficiency: maximizing total surplus generated. But real markets are imperfect. In this course we will explore a set of market imperfections to understand why they fail and to explore possible remedies including as antitrust policy, regulation, government intervention. Examples are taken from everyday life, from goods and services that we all purchase and use. We will apply the theory to current events and policy debates through weekly exercises. These will empower you to be an educated, critical thinker who can understand, analyze and evaluate market outcomes.
Pearson
Building Linux Servers: Unit 3
In this course, you'll delve into the intricacies of DNS, from understanding its fundamental role in translating domain names to IP addresses, to configuring and managing your own DNS server. Through hands-on lessons, you'll learn to install and configure DNS on a Linux server, explore the dynamic interplay between DNS and DHCP, and master the art of DNS resolution. By the end of this course, you'll possess the expertise to manage DNS effectively, ensuring robust and efficient network operations.
Google Cloud
BigQuery 머신러닝을 사용한 추론
BigQuery ML을 사용한 추론, 데이터 분석가가 BigQuery ML을 사용해야 하는 이유, 사용 사례, 지원되는 ML 모델을 알아봅니다. BigQuery에서 ML 모델을 만들고 관리하는 방법도 배웁니다.
The Museum of Modern Art
In the Studio: Postwar Abstract Painting
Take an in-depth, hands-on look at materials, techniques, and approaches to making abstract paintings. Through studio demonstrations and gallery walkthroughs, you’ll form a deeper understanding of what a studio practice means and how ideas develop from close looking. Readings and other resources provide a broader cultural, intellectual, and historical context around the era when these artists were active. The artists featured in the course—Willem de Kooning, Yayoi Kusama, Agnes Martin, Barnett Newman, Jackson Pollock, Ad Reinhardt, and Mark Rothko—serve as points of departure for your own abstract paintings. Learners who wish to participate in the optional studio exercises may need to purchase art supplies. A list of suggested materials is included in the first module.
Packt
Building a Strong Business Foundation
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 provide you with the foundational skills and knowledge to successfully launch and grow a business. By the end of the course, you’ll have a thorough understanding of the key components involved in starting a business, including how to write a compelling business plan and create a sustainable business model. You’ll also explore how to conduct user interviews to better understand market needs and develop a marketing strategy that builds brand awareness and attracts customers. Throughout the course, you'll dive into each aspect of building your business, starting with the essential steps of structuring your business model and defining your customer segments. You'll then proceed to developing your business plan, ensuring that you know how to align your revenue streams with your customers' needs. We’ll walk you through user interviews and market research, equipping you with the skills to gather insights that help refine your business offerings. The course also covers how to implement effective marketing strategies, focusing on social media, SEO, and email marketing to drive customer engagement. Whether you’re an aspiring entrepreneur or someone looking to scale your business, this course will give you the tools to attract and retain customers while maintaining a profitable and sustainable operation. This course is ideal for beginners who are just starting out in business or those looking to solidify their understanding of business fundamentals. No prior business experience is required, although some basic knowledge of marketing and business concepts will be helpful.
University of Illinois Urbana-Champaign
Governmental Accounting and Reporting I
This course includes -8 graded quizzes, required for completion, and -86 optional practice quizzes for you to check your understanding of key concepts. Building on the fundamentals, these modules dive into specific aspects of governmental and nonprofit accounting. You'll learn about constructing the required financial statements, including the statements for the government-wide as well as fund financial statements. You’ll also learn in great detail the difference between the three categories of funds: Governmental Funds, Proprietary Funds, and Fiduciary Funds. These modules provide in-depth knowledge of accounting practices and financial reporting for government and nonprofit entities.