The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
MathWorks
Reinforcement Learning
This course provides an overview of reinforcement learning, a type of machine learning that has the potential to solve control system problems that are too difficult to solve with traditional techniques. You'll work through the basics of the reinforcement problem and how it differs from traditional control techniques. You'll also see how neural networks are used to represent unknown functions and how the agent uses rewards from the environment to train them.
Duke University
Dog Emotion and Cognition
Dog Emotion and Cognition will introduce you to the exciting new study of dog psychology, what the latest discoveries tell us about how dogs think and feel about us, and how we can use this new knowledge to further strengthen our relationship with our best friends.
Utrecht University
Understanding justice and fairness in energy transitions
Energy transitions are not solely technological or economic shifts; they have profound social impacts that can either reinforce or challenge existing inequalities. The benefits and burdens of energy transitions are often unevenly distributed, with vulnerable communities frequently facing the greatest risks, such as displacement and environmental degradation, while having limited access to the benefits, such as cleaner energy and livelihoods. Studying justice in energy transitions can help reflect on and better understand the nature of these issues while identifying new ones along the way. Different ideas of justice can help us better understand what a fair or just transition might mean. By incorporating different ways of thinking and reasoning about justice, we can better understand and shape the goals of energy transitions. This course provides a foundation and set of methods to connect different aspects of energy transitions to justice. In doing so, you will learn how to analyse energy transitions in reference to certain justice-related outcomes, connect your own life and energy use to justice, and build and support arguments regarding why we might think of certain aspects of transitions as just or unjust.
Fundação Instituto de Administração
Pesquisa de Mercado com Métodos Quantitativos
Nossas boas-vindas ao Curso Pesquisa de Mercado com Métodos Quantitativos. Este curso tem como objetivo introduzir o aluno no ambiente da pesquisa quantitativa, discutindo o processo de desenvolvimento de instrumentos de coleta de dados, selecionando amostras, coletando e analisando os dados. Ao final deste curso, você será capaz de desenvolver todo o processo de coleta de dados da pesquisa quantitativa. Este curso é composto por quatro módulos, disponibilizados em semanas de aprendizagem. Cada módulo é composto por vídeos, leituras e testes de verificação de aprendizagem. Ao final de cada módulo, temos uma avaliação de verificação dos conhecimentos. Estamos muito felizes com sua presença neste curso e esperamos que você tire o máximo de proveito dos conceitos aqui apresentados. Bons estudos!
Coursera
Measure and Monitor Brand Presence Online
Did you know that businesses using AI-powered lead management experience up to 50% higher sales productivity? Automating lead tracking and funnel optimization can transform how marketing teams drive revenue. This Short Course was created to help professionals in this field master lead management automation and performance funnel optimization to drive revenue growth and operational efficiency. By completing this course, you will be able to use CRM tools to manage leads, automate updates, and analyze funnel performance to identify bottlenecks and improve conversion rates—skills you can immediately apply to create smarter, faster marketing pipelines. By the end of this 3-hour long course, you will be able to: Apply CRM capabilities to import new leads, update their status, and create associated tasks. Analyze a performance funnel report to calculate conversion rates and identify bottlenecks. This course is unique because it combines AI-driven automation with practical CRM strategies, teaching you how to optimize every stage of your marketing funnel for greater visibility, agility, and measurable growth. To be successful in this project, you should have: Basic digital marketing knowledge CRM platform familiarity Understanding of sales processes Spreadsheet management skills
University of Alberta
Prediction and Control with Function Approximation
In this course, you will learn how to solve problems with large, high-dimensional, and potentially infinite state spaces. You will see that estimating value functions can be cast as a supervised learning problem---function approximation---allowing you to build agents that carefully balance generalization and discrimination in order to maximize reward. We will begin this journey by investigating how our policy evaluation or prediction methods like Monte Carlo and TD can be extended to the function approximation setting. You will learn about feature construction techniques for RL, and representation learning via neural networks and backprop. We conclude this course with a deep-dive into policy gradient methods; a way to learn policies directly without learning a value function. In this course you will solve two continuous-state control tasks and investigate the benefits of policy gradient methods in a continuous-action environment. Prerequisites: This course strongly builds on the fundamentals of Courses 1 and 2, and learners should have completed these before starting this course. Learners should also be comfortable with probabilities & expectations, basic linear algebra, basic calculus, Python 3.0 (at least 1 year), and implementing algorithms from pseudocode. By the end of this course, you will be able to: -Understand how to use supervised learning approaches to approximate value functions -Understand objectives for prediction (value estimation) under function approximation -Implement TD with function approximation (state aggregation), on an environment with an infinite state space (continuous state space) -Understand fixed basis and neural network approaches to feature construction -Implement TD with neural network function approximation in a continuous state environment -Understand new difficulties in exploration when moving to function approximation -Contrast discounted problem formulations for control versus an average reward problem formulation -Implement expected Sarsa and Q-learning with function approximation on a continuous state control task -Understand objectives for directly estimating policies (policy gradient objectives) -Implement a policy gradient method (called Actor-Critic) on a discrete state environment
Coursera
Refactor and Test LLM Microservices
As AI applications are built at record speed, many teams are accumulating significant "technical debt," leading to brittle, unpredictable, and expensive systems. "Refactor and Test LLM Microservices" is an intermediate course designed for software developers and ML engineers who want to build production-grade AI applications that last. This course moves beyond notebooks and scripts to instill the software engineering discipline required for robust microservices. You will master Test-Driven Development (TDD), learning to write failing unit tests before implementing new API endpoints to ensure correctness from the start. You will also learn to act on code-review feedback by systematically refactoring complex code, breaking down monolithic functions into clean, readable, and maintainable modules. Through hands-on labs in a VS Code environment, you will refactor a legacy service and build a new, fully tested API endpoint, ensuring your work is not just functional, but also scalable and reliable.
Starweaver
Effective Service Innovation by Design in Hotel Management
This practical course provides learners with insights into the art and science of designing innovative services in the Hotel industry to meet customers' evolving needs and drive organizational success. Throughout the course, learners will journey to understand the core principles and methodologies of service design. They will be introduced to the powerful concept of design thinking, which encourages a human-centered approach to problem-solving and service development. By immersing themselves in this creative process, learners will learn how to identify customer needs, pain points, and desires, effectively enabling them to craft customer-centric service offerings. In conclusion, learners will be equipped to reinvigorate businesses, creating memorable guest experiences while optimizing internal processes for sustainable success. They will be able to adapt to the vibrant ever-evolving hospitality industry and contribute to its continued growth and innovation. This course is designed for a variety of individuals. It's ideal for professionals aiming to enhance their service design and innovation skills, individuals interested in creating customer-centric, innovative service offerings, and entrepreneurs and business owners looking to differentiate their services in the competitive market. Learners should have a basic understanding of business concepts and a willingness to explore creative ideas. No prior experience in service design is required.
EDUCBA
Configure and Automate Infrastructure with Chef
By the end of this course, learners will be able to configure a Chef environment, deploy and manage a Chef server, connect and manage nodes, and automate software installations using Chef recipes. This course provides a structured, hands-on introduction to infrastructure automation using Chef, one of the most widely used configuration management tools in DevOps. Learners will start by understanding the project workflow and setting up a Chef workstation, followed by deploying and validating a Chef server on the cloud. The course then progresses to managing nodes, editing recipes, scaling configurations across multiple systems, and automating software installation such as Python using Chef. Learners benefit by gaining practical, job-ready skills that are directly applicable to real-world DevOps and system administration roles. Each lesson builds logically on the previous one, ensuring a clear understanding of how Chef components interact in a production-like environment. What makes this course unique is its end-to-end, project-driven approach that focuses on real infrastructure scenarios rather than isolated concepts. By completing the course, learners will gain the confidence to implement scalable, consistent, and automated infrastructure management using Chef in modern IT environments.
Xbox
Product Design and UX/UI Fundamentals
Dive into the world of product design and master the art of creating user-friendly interfaces. You'll learn to collaborate effectively with design teams, create wireframes and mockups, conduct product testing, and iterate on designs based on user feedback. By the end of this course, you'll be able to: ● Explain the roles of various design team members and the UX/UI design process. ● Apply design thinking and UX/UI principles to create user-friendly interfaces. ● Develop wireframes and mockups using tools like Figma. ● Conduct product testing, analyze feedback, and iterate on designs. This course is for entry-Level professionals looking to start a new career as a Product Manager in a related field such as Saas automation or gaming. Interested learners may be making a career switch, currently work in a related role and wish to transition into a Product Management role.
Coursera
Evaluate and Create ML Workflows Visually
This course teaches you how to evaluate machine learning experiments visually and how to transform prototype scripts into reusable, maintainable workflows. You’ll start by exploring how to use visual dashboards like TensorBoard to compare model variants using metrics such as accuracy curves, loss trajectories, and compute usage. Then, you’ll learn how to refactor model training code into standardized structures using tools like LightningModules and DataModules. Through short videos, readings, hands-on Learnings and a final assessment, you’ll gain confidence in comparing models, understanding experiment performance, and creating workflows that your entire team can use. Whether you're presenting model trade-offs or preparing code for a shared repository, you’ll walk away ready to support real-world ML development with clarity and rigor.
Emory University
Weight Management: Beyond Balancing Calories
Across the globe, more people are suffering from obesity than at any other time in our history. Why has obesity become so common and so challenging? In this course, we will look at the root cause of obesity, as explained by the latest science. We will see how our food environment has evolved over the last half-century, and how it is altering our biology to over-consume calories and resist sustained weight loss. We will also see how stress, a sedentary lifestyle, and inadequate sleep disrupt our appetite control system to promote gaining weight. By developing a better understanding of the physiology behind obesity, you will learn how to work with your body to prevent and manage weight gain. This course will also provide practical tools and strategies for creating a long-term, sustainable weight management plan to leverage your habits and your surroundings.
Columbia University
Term-Structure and Credit Derivatives
This course will focus on capturing the evolution of interest rates and providing deep insight into credit derivatives. In the first module we discuss the term structure lattice models and cash account, and then analyze fixed income derivatives, such as Options, Futures, Caplets and Floorlets, Swaps and Swaptions. In the second module, we will examine model calibration in the context of fixed income securities and extend it to other asset classes and instruments. Learners will operate model calibration using Excel and apply it to price a payer swaption in a Black-Derman-Toy (BDT) model. The third module introduces credit derivatives and subsequently focuses on modeling and pricing the Credit Default Swaps. In the fourth module, learners would be introduced to the concept of securitization, specifically asset backed securities(ABS). The discussion progresses to Mortgage Backed Securities(MBS) and the associated mortgage mathematics. The final module delves into introducing and pricing Collateralized Mortgage Obligations(CMOs).
The University of Hong Kong
ESG Essentials: Sustainable Business Strategies
Business leaders and industry professionals must educate themselves and embrace the complexity of ESG in order to lead their organizations towards sustainability. This course is designed to provide professionals from all backgrounds and industries with a foundational understanding of primary ESG concepts. Learners will gain perspectives on how a company’s economic, financial, and ethical purposes can and should be aligned for its overall performance. The course is pragmatic and practical, leveraging real-world case studies. The course is meant to be a holistic starting point for people of any background, providing a high-level understanding of ESG frameworks and concepts. The breadth of topics and relatable case studies should be appropriate for international audiences of any level, from early stage careers to senior executives and directors of multinational companies.
University of Colorado Boulder
Textual Elements of Design: Fonts, Typography, and Spacing
Graphic design is telling a story by using both images and text. With that definition in mind, this course will focus on the textual elements of graphic design. From the history of typography, the difference between type, fonts and text as well as exposure to typography spacing, students will learn the value of selecting the best kind of type and combinations of fonts to get their message across in a visually pleasing manner.
Packt
Build a DALL-E Generator with React, JS & OpenAI
This course 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. In this course, you will learn to build a powerful DALL-E image generator application using React, JavaScript, and OpenAI. You’ll gain hands-on experience creating dynamic, responsive apps that can generate realistic images from text descriptions. The course is divided into carefully structured modules. You’ll begin by setting up your development environment, installing Node.js, and configuring Visual Studio Code. Once the foundational tools are in place, you will dive into Next.js, learning how to create a full-stack application and structure it to generate images. After the project is set up, you’ll learn to integrate the DALL-E OpenAI API, handle requests, and securely store API keys. Next, you’ll focus on building the core of your app, using React and TypeScript to manage the user interface and state. You will optimize the user experience with CSS styling, animations, and even add a mailing feature to share the generated images. Finally, you will learn how to deploy your application to production using GitHub and Vercel, making it accessible for the world to see. This course is perfect for developers looking to explore the exciting intersection of AI and web development. No prior experience with OpenAI is required, though familiarity with React and JavaScript will be helpful. By the end of the course, you will be able to create a fully functional DALL-E image generator that integrates seamlessly with OpenAI, providing dynamic image generation based on user input. By the end of the course, you will be able to build and deploy a DALL-E generator app, handle real-time image requests, integrate animations for better UX, and securely manage API keys.