The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
DeepLearning.AI
PyTorch: Techniques and Ecosystem Tools
Master advanced PyTorch techniques to build high-performing, efficient deep learning models. In this course, you’ll expand your skills in hyperparameter optimization, model profiling, and workflow efficiency. You’ll experiment with learning rate schedulers, tackle overfitting, and use automated hyperparameter tuning with Optuna to boost model performance. Learn how to design flexible architectures, measure model efficiency with the PyTorch Profiler, and make the most of your compute resources. You’ll also dive into real-world applications using TorchVision for computer vision tasks like loading, transforming, and augmenting image data, and leveraging Hugging Face for natural language processing. You’ll apply transfer learning and fine-tune pre-trained models to adapt them for new problems. By the end, you’ll know how to train smarter, optimize deeper, and build PyTorch models ready for production-level deployment.
Adobe
Leading Creative Projects with AI
Whether you're new to design or looking to reignite your creative spark, this course gives you practical ways to explore, create, and grow with AI. You’ll learn how to use generative AI as a creative partner that supports experimentation, accessibility, and personal expression. Through real-world examples and hands-on practice, you’ll discover how AI can help you overcome creative blocks, build confidence, and design more inclusively. Tools like Adobe Firefly and Adobe Express will help you ideate, iterate, and bring your vision to life across formats and platforms.
Banco Interamericano de Desarrollo
Herramientas de gestión de proyectos de desarrollo
¿Conoces el valor de utilizar distintas herramientas para la gestión de proyectos? Desarrollar y aplicar adecuadamente herramientas de gestión de proyectos puede generar un cambio sustancial para alcanzar los objetivos propuestos con los recursos disponibles. El contenido de este MOOC se basa en la metodología de Gestión de Proyectos para Resultados (PM4R) creada por el BID, que considera las siguientes 7 herramientas: la planeación de alcance; la gestión de tiempo; la gestión de costos; la gestión de compras; la gestión de comunicaciones; y la gestión de responsabilidades y de control de proyecto. Este MOOC forma parte de la Especialización en diseño y gestión de proyectos de desarrollo que recoge el conocimiento y experiencia del BID en sus más de 60 años trabajando por mejorar la calidad de vida en América Latina y el Caribe, así como de buenas prácticas internacionales para la gestión de proyectos. Se compone de los siguientes cursos: - Diseño de proyectos de desarrollo - Herramientas de gestión de proyectos de desarrollo - Gestión con enfoque en riesgos en proyectos de desarrollo
Wesleyan University
Career Decisions: From Insight to Impact
I am an adult developmental psychologist by training and a career counselor by trade, currently the Director of the Gordon Career Center at Wesleyan University in Connecticut. In this course, I draw from my decades of experience as well as research from the fields of psychology, organizational behavior, and sociology to help you understand best practices for making career decisions. This content will help you develop the tools you need to make the right choices for you, from deciding an area of study to exploring potential lines of work to pursue—and knowing when to pivot at any time in your career.
The University of Tokyo
Visual and Auditory Perception: How We See and Hear
Unlock the Neuroscience Behind Your Senses — From Light Waves to Visual Experience, From Sound Waves to Conscious Hearing! Discover the remarkable journey of how your brain transforms light and sound into the rich experiences of seeing and hearing. This immersive sensory neuroscience course combines cognitive psychology principles with hands-on demonstrations, including real eye dissections, live EEG recordings, and cutting-edge 3D visualisations. Ever wondered how a simple beam of light becomes a breathtaking sunset in your mind? Or how vibrations in the air transform into your favourite song? The Visual and Auditory Perception course takes you on a fascinating journey through sensory neuroscience, revealing the extraordinary mechanisms that allow your brain to interpret the world around you. This comprehensive course examines sensory information processing from a cognitive psychology perspective, guiding you from basic sensory inputs to complex neural processing. You'll explore how physical stimuli—light entering your eyes and sound entering your ears—undergo remarkable transformations to become conscious perceptual experiences. What Makes This Course Unique: ✅ Real Anatomical Dissections — Watch detailed video footage of eye dissections demonstrating visual system anatomy ✅ Live EEG Recordings — Observe actual brain activity measurements conducted with human participants ✅ Field Experiments — Experience age-related hearing demonstrations including mosquito-tone experiments ✅ Stunning 3D Visualizations — Explore computer-generated graphics illustrating sensory organs in clear, spatial formats ✅ Theory Meets Practice — Bridge neuroscientific principles with real-world applications you can observe in daily life Join thousands of learners discovering how their brains create the experience of seeing and hearing. This comprehensive journey through sensory neuroscience combines rigorous science with engaging demonstrations—accessible to beginners, valuable to professionals.
Packt
Unreal Engine 5 Integration & Scene Finalization
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’ll gain a comprehensive understanding of Unreal Engine 5 (UE5) integration and scene finalization techniques. From exporting assets from Blender to mastering the UE5 viewport and user interface, you’ll be guided through each step to refine your skills and optimize your workflow. This course empowers you to create stunning environments with advanced material, texture, and terrain techniques, while also offering insights into foliage and light management for natural realism. You will start by learning the fundamentals, including exporting assets and mastering the UE5 interface. As you progress, you will dive into more advanced topics such as UE5 material techniques, optimizing tree and foliage performance, and creating realistic water effects with advanced shaders. The course also covers VFX creation, managing lighting and decals, and fine-tuning post-processing effects to enhance the visual impact of your scenes. This course is ideal for 3D artists, game developers, and anyone interested in using UE5 to bring their digital environments to life. A basic understanding of 3D modeling and game engines is recommended, and beginners to intermediate learners will benefit the most from the hands-on learning approach. By the end of the course, you will be able to export assets from Blender, master UE5’s interface and material systems, create advanced terrains and foliage, develop dynamic VFX, and optimize the performance of your scene. You will also learn to manage lighting, water effects, and post-processing to create realistic, interactive environments in Unreal Engine 5.
Voxy
Low Intermediate English: Meet & Greet
In this course, you will develop your English conversational skills that you can use to build your personal and professional relationships. Learning activities in this course will take place on Voxy, an engaging language learning platform that automatically adapts to your current level and your performance across reading, listening, speaking, grammar, and vocabulary skills so that every lesson is optimized for rapid improvement. Each week is made up of engaging, short, task-based lessons that can be done anywhere, anytime. Lessons include content from the real world, so you will learn from dozens of real conversations about a variety of common topics that come up when getting to know someone, like family, where you’re from, and hobbies and interests. By the end of this course, you will feel confident starting or joining just about any conversation!
DeepLearning.AI
Team Software Engineering with AI
In this course, you'll elevate your software development skills by learning how to leverage AI in collaborative team environments. You'll discover how to use large language models (LLMs) to streamline testing processes, create comprehensive documentation, and manage complex dependencies. By the end of this course, you will be able to: - Utilize LLMs to generate and implement various types of software tests, from exploratory to security testing - Create clear, useful documentation that follows best practices and language-specific conventions - Use AI to explore and manage software dependencies, including resolving conflicts and addressing security issues - Debug common dependency-related problems with AI as your pair-programmer These skills will enhance your ability to work effectively in development teams, improve code quality, and streamline the software development lifecycle. By learning AI-assisted collaboration techniques, you'll become a more valuable asset to any development team and be better prepared to tackle complex, real-world software engineering challenges.
Pearson
PMP Certification: Unit 2
This course is designed to equip you with the essential tools and techniques for effective project integration, scope, and schedule management. Dive into the intricacies of project integration, mastering the creation of project charters and management plans while distinguishing between executing and monitoring processes. Gain a thorough understanding of scope management by exploring product and project scope, requirement collection, and work breakdown structures, with insights into both predictive and agile methodologies. Our schedule management lessons will guide you through critical path methods, resource optimization, and agile tools like burn charts, emphasizing the differences between agile and predictive approaches. By the end of this course, you will be empowered to manage project scope and schedules with confidence, ensuring successful project delivery every time.
Packt
The Simplest Guide™ to Clinical Data Analysis with SAS
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. In the realm of pharma and life sciences, clinical data analysis is a critical skill that demands precision and expertise. This course breaks down the intricate processes involved in analyzing clinical trial data using SAS, making it accessible to professionals at all levels. You'll begin with an introduction to the industry, understanding the components and phases of clinical trials, and the various types of data and reports involved. The course then guides you through the essential clinical study documents, including the study protocol, informed consent, inclusion-exclusion criteria, and the Statistical Analysis Plan (SAP). By mastering these documents, you'll lay a solid foundation for building comprehensive Clinical Study Reports (CSRs). The hands-on approach of the course ensures that you not only learn the theoretical aspects but also how to apply them practically. As you progress, you'll dive into the detailed steps of programming CSRs using SAS. From understanding case report forms and importing raw data to deriving critical variables like AGE, SEX, and RACE, and finally compiling all the summary statistics, the course walks you through each step with clarity. By the end, you'll have the confidence to produce polished, professional-grade reports, essential for advancing your career in clinical data analysis. This course is designed for data analysts, statisticians, and professionals in the pharma and life sciences industries who want to deepen their understanding of clinical data analysis using SAS. A basic understanding of clinical trials and prior experience with SAS programming is recommended but not required.
SAS
Four Rare Machine Learning Skills All Data Scientists Need
This course covers the most neglected yet critical skills in machine learning, four vital techniques that are very rarely covered – most courses and books omit them entirely. 1) UPLIFT MODELING (AKA PERSUASION MODELING): When you're modeling, are you even predicting the right thing? 2) THE ACCURACY FALLACY: When evaluating how well a model works, are you even reporting on the right thing? 3) P-HACKING: Are your simplest discoveries from data even real? 4) THE PARADOX OF ENSEMBLE MODELS: Do you understand how they work, even though they seem to defy Occam's Razor? >> WHY THESE ADVANCED METHODS ARE ESSENTIAL: Each one addresses a question that is fundamental to machine learning (above). For many projects, success hinges on these particular skills. >> NO HANDS-ON – BUT FOR TECHNICAL LEARNERS: This course has no coding and no use of machine learning software. Instead, it lays the conceptual groundwork before you take on the hands-on practice. When it comes to these state-of-the-art techniques and prevalent pitfalls, there's a foundation of conceptual knowledge to build before going hands-on – and you'll be glad you did. >> VENDOR-NEUTRAL: This course includes illuminating software demos of machine learning in action using SAS products. However, the curriculum is vendor-neutral and universally-applicable. The contents and learning objectives apply, regardless of which machine learning software tools you end up choosing to work with.
University of Maryland, College Park
AI-Augmented Procurement in Government
Unlock the power of Artificial Intelligence to revolutionize government procurement. This course empowers public sector professionals to harness AI for faster, smarter, and more cost-effective procurement processes. Explore how modern research and real-world examples reveal AI’s transformative impact on government operations—from individual tasks to agency-wide programs. Learn practical strategies to overcome common barriers, navigate conflicting priorities, and drive meaningful change. Discover how AI can reshape incentives, foster collaboration, and support systemic improvements. Gain actionable insights into scaling AI solutions for lasting results, ensuring your organization is ready to deliver greater efficiency and effectiveness. Join us to master the tools and techniques needed to lead AI-driven transformation in government procurement.
Amazon Web Services
Amazon CloudWatch Getting Started
In this course, you will learn the benefits and technical concepts of Amazon CloudWatch. If you are new to the service, you will learn how to start with CloudWatch through a demonstration using the AWS Management Console. You will learn about the native architecture and how the built-in features can help you simplify monitoring resources and applications in the AWS, on premises, hybrid, or on other clouds.
Packt
Recommender Systems with Machine Learning
This course starts with the theoretical concepts and fundamental knowledge of recommender systems, covering essential taxonomies. You'll learn to use Python to evaluate datasets based on user ratings, choices, genres, and release years. Practical approaches will help you build content-based and collaborative filtering techniques. As you progress, you'll cover necessary concepts for applied recommender systems and machine learning models, with projects included for hands-on experience. Key learnings include AI-integrated basics, taxonomy, overfitting, underfitting, bias, variance, and building content-based and item-based systems with ML and Python, including KNN-based engines. The course is suitable for beginners and those with some programming experience, aiming to advance ML skills and build customized recommender systems. No prior knowledge of recommender systems, ML, data analysis, or math is needed, only basic Python. By the end, you'll relate theories to various domains, implement ML models for real-world recommendation systems, and evaluate them.
Coursera
Urban Land Economics and Real Estate Market Dynamics
Cities and Towns have existed for millennia developing in numerous forms and patterns over the ages. These forms shape the way we have lived and continue to live in society, as we adopt new infrastructure and technology to ensure our livelihood and safety. This adoption has led to the development and implementation of land use management and planning systems to govern the way we utilize and develop land in and around the city. These systems inform our decisions and drive growth through real estate development and infrastructure development that supports their growth. The interplay between the two creates a unique environment that is interdependent and reliant upon the actions or plans between private sector developers and governments around the world. This course is designed for aspiring real estate investors, property developers, financial analysts, and individuals eager to grasp the intricate dynamics of real estate markets. Whether you're looking to enter the market or deepen your understanding of its complexities, this course equips you with essential knowledge and strategic insights to navigate and succeed in the diverse realms of residential and commercial real estate investment. No prior knowledge is required to enroll in this course, as all necessary concepts and frameworks will be taught comprehensively throughout the duration. This makes it accessible to beginners and those new to the field, ensuring that every participant can fully grasp the material and apply it effectively in their respective roles. After completing this course, learners will be able to analyze key concepts, benefits, and frameworks of Urban Land and Urban Form. They will explore Urban Land Systems and their Planning throughout the world, gaining a global perspective on these critical topics. Additionally, learners will apply their knowledge of Urban Land and Urban Land Systems to understand the Real Estate market and the factors that influence it, enabling them to make informed decisions and drive growth in their professional endeavors.
University of Michigan
Intermediate PostgreSQL
This course covers a wide range of SQL techniques, beyond basic CRUD (Create, Read, Update, and Delete) operations in PostgreSQL. You will learn the specifics of aggregation, transactions, reading and parsing CSV files and inserting data into a database. You’ll also take a look at how PostgreSQL handles and indexes text data. Specifically, students will do assignments that alter table schemas, create stored procedures, construct advanced queries, explore sorting and grouping query data, and techniques for working with text in databases including regular expressions.