The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
Create an Infographic in Canva
This course will teach the learner how to create an infographic, step-by-step. Infographics are used to visually share complex numeric or written information in one glance. The learner will start by gathering the information and goals for creating an infographic and then walk through each step of creating the infographic in Canva. By the end, the learner will have the ability to share a complete infographic.
University of Toronto
Motion Planning for Self-Driving Cars
Welcome to Motion Planning for Self-Driving Cars, the fourth course in University of Toronto’s Self-Driving Cars Specialization. This course will introduce you to the main planning tasks in autonomous driving, including mission planning, behavior planning and local planning. By the end of this course, you will be able to find the shortest path over a graph or road network using Dijkstra's and the A* algorithm, use finite state machines to select safe behaviors to execute, and design optimal, smooth paths and velocity profiles to navigate safely around obstacles while obeying traffic laws. You'll also build occupancy grid maps of static elements in the environment and learn how to use them for efficient collision checking. This course will give you the ability to construct a full self-driving planning solution, to take you from home to work while behaving like a typical driving and keeping the vehicle safe at all times. For the final project in this course, you will implement a hierarchical motion planner to navigate through a sequence of scenarios in the CARLA simulator, including avoiding a vehicle parked in your lane, following a lead vehicle and safely navigating an intersection. You'll face real-world randomness and need to work to ensure your solution is robust to changes in the environment. This is an intermediate course, intended for learners with some background in robotics, and it builds on the models and controllers devised in Course 1 of this specialization. To succeed in this course, you should have programming experience in Python 3.0, and familiarity with Linear Algebra (matrices, vectors, matrix multiplication, rank, Eigenvalues and vectors and inverses) and calculus (ordinary differential equations, integration).
LearnQuest
Blockchain Architecture - Intermediate Concepts
The Blockchain Architecture - Intermediate Concepts course is designed for individuals with a basic understanding of digital technologies and foundational knowledge of blockchain principles and platforms. This course will delve deep into the realm of blockchain technology. Building upon the foundational knowledge obtained in the introductory course, this intermediate course offers a detailed look into security considerations, risk management strategies, and an overview of blockchain architecture. The course modules also explore the intricacies of smart contracts, legal and ethical implications of blockchain technology, and various governance models prevalent in the industry. After completing this course, you should be able to: - Explain the importance of security in blockchain implementation and identify potential implementation goals - Identify the risks involved in blockchain adoption and develop a basic risk management plan -Identify the legal and ethical implications of blockchain implementation across different industries - Describe the function, creation, and deployment of smart contracts - Differentiate between protocol-level and network-level security aspects - Compare blockchain regulations in various locations globally - Identify best practices for documenting blockchain solutions - Describe how documentation increases solution clarity and alignment
Kennesaw State University
Cybersecurity and Its Ten Domains
This course is designed to introduce students, working professionals and the community to the exciting field of cybersecurity. Throughout the MOOC, participants will engage in community discourse and online interaction. Participants will gain knowledge and understanding of cybersecurity and its domains. They will engage with expertly produced videos, gain insight from industry experts, participate in knowledge assessments, practice assessing their environmental awareness, and gain access to materials that address governance and risk management, compliance, business continuity and disaster recovery, cryptography, software development security, access control, network security, security architecture, security operations, and physical and environmental security. Learning will be assessed using strategies aligned to knowledge and understanding. You do not need prior experience in IT security to do well in this course. All you need is a willingness to learn. We will point you to relevant open and free resources to assist you. At the end of this course, you will have the option of applying for undergraduate level course credit at Kennesaw State University (dependent on admission to Kennesaw State University as a degree seeking or a non-degree seeking student). More information is available in final module "Receive Course (undergraduate) Credit at Kennesaw State University".
University of Pennsylvania
Introduction to Java and Object-Oriented Programming
This course provides an introduction to the Java language and object-oriented programming, including an overview of Java syntax and how it differs from a language like Python. Students will learn how to write custom Java classes and methods, and how to test their code using unit testing and test-driven development. Topics include basic data structures like Arrays and ArrayLists and overloading methods.
University at Buffalo
Renewable Energy: Fundamentals and Job Opportunities
This course prepares you to recognize the complexities and nuances of different renewable energy solutions, as well as relevant career opportunities (both technical occupations and roles not typically associated with clean energy). Learners are immersed in discussions about green energy technologies, the impact of sustainability on society, energy consumption in the United States and conservation. Topics include: tenets of green building design and construction, solar energy conversion through photovoltaic cells, wind turbine site selection and design, and nanotechnology applications in clean energy. It references educational opportunities from the State University of New York (SUNY) system that correlate with each clean energy market segment. The course is suitable for anyone interested in entering the renewable energy field, whether fresh to the workforce or switching industries. Material encompasses online lectures, videos, demos, readings and discussions. Learners will create a career roadmap, whereby they define a job that interests them, conduct a gap assessment to determine additional education/training/skills they need, and document a pathway to their ideal renewable energy career.
École Polytechnique
Plastic electronics
Plastic electronics is a concept that emerged forty years ago, with the discovery of electrically conductive polymers. Ten years later, the first electronic devices using organic solids in place of the ubiquitous inorganic semiconductors were realised. The best achievement of plastic electronics is constituted by Organic Light-Emitting Diodes (OLEDs) that equip the display of many smartphones, and even TV sets. The objective of this course is to provide a comprehensive overview of the physics of plastic electronic devices. After taking this course, the student should be able to demonstrate theoretical knowledge on the following subjects: Concept of organic semiconductors; Charge carrier transport in polymeric and organic semiconductors; Optical properties of organic semiconductors; Charge injection from metals to organic solids; Operating mode of the main plastic electronic devices: Organic light-emitting diodes (OLEDs), organic photovoltaic cells (OPVs) and organic field-effect transistors (OFETs).
Coursera
Introduction to C++ Programming: Build a Calculator
By the end of this project, you will be able to create a simple calculator as well as an advanced one, which will be achieved by learning the basic concepts of C++ such as variables, DataTypes, if conditions, and more programming concepts. By applying these concepts you can also create programs that users can interact with. These programming concepts can also be applied using other Programming Languages such as Java and Python, not just C++. 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.
University of Illinois Urbana-Champaign
Modern Issues in Food & Agriculture
With the world population expected to hit 9.7 billion by 2050, the global food system faces growing challenges to meet demand sustainably. This course examines key issues in food and agriculture, guided by industry experts and researchers. Agriculture is a dynamic, evolving sector. Upon completing this course, you'll have a comprehensive understanding of the modern challenges and innovations shaping the journey from farm to table. This course is part of the College of ACES suite of online programs, including the 4-week graduate-level course that can be stacked toward the Agribusiness and Sustainable Food Production Economics graduate certificate and a graduate degree. 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 ACES Online at acesonline.illinois.edu.
Google Quantum AI
Hands-on quantum error correction with Google Quantum AI
This course is aimed at first year undergraduates to experienced researchers looking for an overview of quantum computing and a more detailed understanding of quantum error correction, with specific focus on the type of quantum error correction successfully demonstrated in 2024 at Google. Questions and projects are provided to build familiarity with the theory and software tools used in the field. The course starts with an overview of various quantum computing technologies, followed by detailed sections on quantum states and circuits, quantum errors and error detection, the mathematical formalism of stabilizers and the surface code, and finally the software tools Stim and Crumble, both of which are actively used by researchers in the field.
28DIGITAL
Web Connectivity and Security in Embedded Systems
Welcome to Web Connectivity and Security in Cyber-Physical Systems! In this course, we will explore several technologies that bring modern devices together, facilitating a network of connected things and making devices internet-enabled. We will discuss rules, protocols, and standards for these devices to communicate with each other in the network. We will also go through security and privacy issues and challenges in cyber-physical systems (CPS). We will explore measures and techniques for securing systems from different perspectives. Possible attack models are introduced and solutions to tackle such attacks are discussed. Moreover, some basic concepts related to privacy in cyber-physical systems are presented. The course comprises altogether five modules and is split up into two main sections. The first section contains three modules and centers on the problem of web connectivity in cyber-physical systems. The second section consists of two modules focusing on security measures in such systems. Each module ends with a graded quiz, and there is a final peer-reviewed exam at the end of the course covering the two main sections of the course. After completing this course, you will have the basic knowledge and capacity for designing the network architecture of your cyber-physical system. This includes putting together different components, selecting suitable communication protocols, and utilizing these protocols in your system. You will also be able to define security requirements for your system and choose and implement a proper security and privacy technique to protect it.
Coursera
YouTube Production: Video Fundamentals
You don’t need fancy gear to create great YouTube videos—you need the right techniques. In this course, you’ll learn how to dramatically improve the look and sound of your videos using just your smartphone and everyday items. From lighting and framing to clear audio and background music, you’ll explore the simple production fundamentals that boost viewer engagement. Through a tutorial and hands-on practice, you’ll experiment with different setups, evaluate your results, and walk away ready to record videos that look polished and professional.
Scrimba
Clean Code Basics: How to Write Maintainable Code
Learning clean code is one of the best career investments you can make. By spending one hour to learn the fundamentals, you get to reap the benefits across all your future code bases. It's 10x the payoff for the effort. In this course, developer and popular coding YouTuber Dylan Israel shares expert tips to help you elevate your code. You'll learn how to write cleaner, more professional code that's easy to read, understand, and maintain—while minimizing bugs along the way. Employers value the skill of writing clean code. Not only that, clean code practices will make it easier for you and your colleagues to understand your code in the future. This course will benefit a wide range of coders, including aspiring software engineers, juniors, seniors, and Quality Assurance Testers. It will also be helpful to those looking to better understand JavaScript. In just one hour, you’ll cover how to improve your variables, functions, comments, and more! By the end, you’ll have the knowledge to improve your existing and future projects and ensure that your code is as searchable, readable and understandable as possible.
Politecnico di Milano
Machine Learning: an overview
The course provides a general overview of the main methods in the machine learning field. Starting from a taxonomy of the different problems that can be solved through machine learning techniques, the course briefly presents some algorithmic solutions, highlighting when they can be successful, but also their limitations. These concepts will be explained through examples and case studies.
Universidades Anáhuac
Métodos de casos para decisiones estratégicas
Este curso te guía paso a paso en el uso del método de casos, desde la comprensión de su proceso hasta la formulación de hipótesis y toma de decisiones. Aprenderás técnicas de lectura crítica, planteamiento de problemas, análisis colaborativo y valoración de posibles soluciones. Diseñado para fortalecer tu pensamiento crítico y habilidades de resolución de problemas, el curso te preparará para enfrentar escenarios complejos con decisiones bien fundamentadas, mientras enriqueces tu aprendizaje a través de la retroalimentación de una comunidad colaborativa.
Amazon Web Services
Introduction to Information Retrieval with Amazon Q
This course provides an overview of how Amazon Q can search for and summarize information to answer users' questions in a safe, faithful, helpful and responsible manner. The focus would be on finding and presenting information from reliable sources to address users' informational needs. Amazon Q aims to have thoughtful, nuanced discussions and looks forward to further conversations. In this course, you will learn to: - Understand why upskilling in generative AI increases productivity - Identify some challenges that enterprises face when they try to adopt generative AI for their workforce - Define Generative AI Stack - Understand the different versions of Amazon Q and the appropriate use cases. - Define the key use cases for Amazon Q business expert. - Describe how Amazon Q business expert can help business users become more productive. - Define the key use cases for Amazon Q for AWS Builder Use - Gain a practical understanding of how to use Amazon Q for AWS Builder Use improve developer productivity and creativity.