The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
University of Alberta
Paleontology: Theropod Dinosaurs and the Origin of Birds
Paleontology: Theropod Dinosaurs and the Origin of Birds is a five-lesson course teaching a comprehensive overview of the origins of birds. This course examines the anatomy, diversity, and evolution of theropod dinosaurs in relation to the origin of birds. Students explore various hypotheses for the origin of flight. Watch a preview of the course here: https://uofa.ualberta.ca/courses/paleontology-theropod-dinosaurs
Universidad de los Andes
PlanU: escoge la mejor carrera y universidad para ti
Este curso fue diseñado para que el participante desarrolle herramientas para tomar decisiones de carrera y universidad de una manera segura y sistemática. Durante las próximas semanas, nuestros estudiantes, recorrerán un camino con variadas y divertidas oportunidades de aprendizaje a través de las cuales conocerán y cuestionarán diferentes aspectos del proceso de esta elección. Simultáneamente, construirán las habilidades para descubrir sus propias respuestas y elaborar planes de acción coherentes con aquello que les interesa, con sus fortalezas, retos y posibilidades. En Plan U, hacemos una apuesta por "la toma de una decisión informada" como elemento esencial de un proceso elección de carrera y universidad. Este curso tiene como base el aprendizaje significativo y práctico, donde cada estudiante es dueño de su propio proceso y de encontrar las respuestas que más se ajustan a sí mismo, pero donde quienes lo rodean (familias, profesores, amigos) pueden acompañarlo de manera efectiva. Plan U puede realizarse en conjunto o como complemento de proyectos escolares o personales que busquen el desarrollo de habilidades de toma de decisiones y planes de vida. Para conocer un poco más sobre qué es y qué no es este curso, te invitamos a visitar el enlace http://bit.ly/videoplanu Si quieres conocer más sobre la Universidad de los Andes y sus programas, no dejes de ingresar a este enlace https://aspirantes.uniandes.edu.co/pregrado
Edureka
Generative AI and LLM Security
This program equips cybersecurity professionals, AI engineers, and security architects with the expertise to identify, analyze, and mitigate vulnerabilities in Generative AI (GenAI) and Large Language Models (LLMs). You’ll begin by exploring the foundations of GenAI threats, examining common attack vectors such as prompt injection, jailbreaks, model theft, and adversarial manipulation. Through practical demonstrations, you will learn how attackers exploit weaknesses in AI-driven systems and how defenders can detect and respond to these risks in real-world environments. Building on these fundamentals, you’ll gain hands-on experience in securing LLM applications, aligning model outputs to security objectives, and applying guardrails, watermarking, and safety evaluation methods. You’ll also work with API integrations using platforms like Gemini API and Google Colab to simulate secure deployment practices and mitigate risks in live systems. Next, the program delves into AI lifecycle security, covering strategies to secure training data, prevent poisoning attacks, and protect AI pipelines. You’ll explore model provenance, dependency scanning, and secure deployment pipelines—ensuring the integrity of AI systems across their entire supply chain. The course also emphasizes AI ethics and compliance, including bias detection, fairness in model design, and global regulatory frameworks like GDPR, CCPA, NIST AI RMF, ISO standards, and the EU AI Act. Using tools like Sola Security, you’ll practice auditing, governance, and risk management to operationalize ethical and compliant AI practices. Finally, you’ll examine frontier threats in emerging domains such as multimodal AI and Agentic AI, exploring adversarial attacks, cross-modal vulnerabilities, and their implications for enterprise cybersecurity. By the end of this program, you will be able to: - Identify and evaluate attack vectors targeting GenAI and LLMs. - Apply secure prompt engineering and defense strategies against prompt injection and jailbreaks. - Design and implement guardrails, safety mechanisms, and watermarking in LLM applications. - Protect AI training data, pipelines, and deployment workflows from poisoning and supply chain risks. - Assess and enforce regulatory compliance with GDPR, CCPA, NIST, ISO, and the EU AI Act. - Recognize and mitigate frontier threats in multimodal and agentic AI systems. - Integrate ethical, transparent, and resilient security practices across the AI lifecycle. This specialization is designed for cybersecurity engineers, LLM developers, AI security specialists, ML engineers, and cloud/edge security architects who want to build advanced expertise in safeguarding GenAI systems. Join us to gain the skills, tools, and strategies required to secure next-generation AI systems against evolving adversarial threats.
Codio
Advanced Django: Introduction to Django Rest Framework
Code and run Django websites without installing anything! This course is designed for learners who are familiar with Python and basic Django skills (similar to those covered in the Django for Everybody specialization). The modules in this course cover an introduction to the the Django REST framework and handling JSON within the context of APIs, fundamentals such as serialization ViewSheets, and authentication/permissions. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to slowly building features, resulting in large coding projects at the end of the course. Course Learning Objectives: Describe how the Django REST framework allows Django websites to leverage APIs Apply the Django REST framework Leverage ViewSets to map views to logic Setup authentication and configure permissions
Tableau Learning Partner
Introduction to Tableau
The Introduction to Tableau course will give you an understanding of the value of data visualizations. You will learn how to preprocess data and how to combine data from multiple tables found within the same data source as well as other data sources in Tableau Public. You will have developed the skills to leverage data visualization as a powerful tool for making informed decisions. This course is for anyone who is curious about entry-level roles that demand fundamental Tableau skills, such as business intelligence analyst or data reporting analyst roles. It is recommended (but not required) that you have some experience with Tableau Public, but even if you're new to Tableau Public, you can still be successful in this program. By the end of the course, you will be able to: -Describe the value of data visualizations in the field of business analytics. -Preprocess data in Tableau Public. -Combine data from multiple tables found within the same data source as well as other data sources in Tableau Public.
Coursera
Create a Storyboard using Canva
By the end of this project, you will learn how to create a storyboard from scratch using the free version of Canva. Storyboards are sequential breakdowns of each shot for a visual presentation. A visual presentation can include animation, live-action video, sales and marketing pitches. We can use Canva to complete this project because it provides all the tools you need to create an organized and visually appealing product while offering a variety of options for sharing and collaboration. You will learn how to plan and organize your ideas and utilize graphic design tools as you create a storyboard template for your next visual experience. 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.
AI CERTs
AI Foundations & Industry Overview for Telecommunication
This is Part 1 of the AI for Telecommunications Specialization — a three-pathway program designed to equip professionals with the skills to drive AI-powered transformation across telecom networks. In this foundational pathway, you’ll explore how artificial intelligence, machine learning, and data engineering are reshaping the telecommunications landscape. You’ll gain practical insights into how AI supports network automation, predictive maintenance, and smarter decision-making through real-world telecom data. Through hands-on labs and guided projects, you’ll learn to work with telecom data pipelines, understand IoT and NLP fundamentals, and prepare datasets for AI-driven network optimization. By the end of this pathway, you’ll have a strong grasp of AI concepts contextualized for telecom — setting the stage for advanced applications in intelligent networks, 5G, and customer experience explored in Pathways 2 and 3.
University of Colorado Boulder
The Harder Side of Science Communication
In this course, you will explore how to develop and implement evidence-based methods for science communication. We’ll discuss major theories of human learning, cognitive phenomena like bias and motivated reasoning that can undermine even the best activities, and the science behind why mis/disinformation spreads so quickly. We’ll end with motivational interviewing and a discussion of how to use learning engineering to design educational activities.
LearnQuest
Fundamentals of Cloud Computing
This course is the second of a series that aims to prepare you for a role working in data analytics. In this course, you will be introduced to many of the core concepts of cloud computing. You will learn about the primary deployment models. We’ll go through the common cloud computing service models. The hands on material offers the opportunity to review and configure a cloud account. This course covers a wide variety of topics that are critical for understanding cloud computing and are designed to give you an introduction and overview as you begin to build relevant knowledge and skills.
The State University of New York
Data Analytics in Sports Law and Team Management
This course provides an introduction to the fundamental ideas in applying data analytics to issues surrounding key regulatory and management functions within the sports industry. Sports as an industry is increasingly relying on data analytics for more effective deployment of resources and assessment of performance in areas ranging from player productivity to fan engagement, talent identification and development, coaching, sponsorship, and marketing. This course and its successors will help you understand this new role of data analysis in the sports business.
Duke University
Visual Perception and the Brain
Learners will be introduced to the problems that vision faces, using perception as a guide. The course will consider how what we see is generated by the visual system, what the central problem for vision is, and what visual perception indicates about how the brain works. The evidence will be drawn from neuroscience, psychology, the history of vision science and what philosophy has contributed. Although the discussions will be informed by visual system anatomy and physiology, the focus is on perception. We see the physical world in a strange way, and goal is to understand why.
Coursera
React Hooks: useRef, useMemo, useCallback, ImperativeHandle
By the end of this course you will have a solid grasp of some of the most important hooks in React. We will start by understanding the tricky parts of hooks and spend time digging deeper than other courses, logging everything. We then go ahead to consume our hooks in real life examples. This course is aimed at developers who are familiar with React and hooks in general, understand the basics well, and would like to have some more experience, especially using some of the more advanced and dynamic development patterns in React.
Packt
AWS Core Services and Cloud Foundations
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 strong foundation in AWS core services like EC2, S3, IAM, and RDS, empowering you to manage and deploy cloud solutions effectively. The journey begins with an exploration of Identity and Access Management (IAM), where you’ll learn how to manage user roles, security policies, and permissions within AWS. You'll then dive into Elastic Compute Cloud (EC2) for provisioning and managing scalable virtual servers, including configuring storage and launching a web server. You’ll also gain skills in using the AWS CLI for automating cloud tasks. As you move through the course, you'll learn about Amazon S3, its fundamental concepts, and how to manage secure storage and access. The course also includes practical projects like hosting a static website on S3 and setting up CloudFront distributions to optimize load times. Finally, you'll explore Relational Database Service (RDS) and Elasticache, which are key components for scalable database management and caching solutions. By the end, you'll have hands-on experience with key AWS services and a thorough understanding of how to integrate them to create scalable, secure cloud applications. This course is ideal for cloud enthusiasts looking to start their journey with AWS. It is suitable for learners aiming to gain foundational knowledge in AWS core services, with no prior experience required.
Board Infinity
Introduction to Continuous Improvement Process
Course Description Unlock the power of continuous improvement with our "Introduction to Continuous Improvement Process" course. Whether you're aiming to enhance product quality, streamline processes, or increase customer satisfaction, this course equips you with essential knowledge and tools. Covering everything from the fundamentals of quality to advanced quality management systems, ISO standards, and customer-focused strategies, this course is ideal for professionals seeking to create a culture of excellence in any organization. Through real-world examples, actionable frameworks, and a step-by-step understanding of tools like the PDCA cycle and Statistical Process Control (SPC), you'll gain the expertise needed to drive measurable improvements and deliver exceptional quality consistently. Module-Level Description Module 1: Fundamentals of Quality Improvement This module lays the groundwork for understanding what quality means, why it matters, and how improvement can be achieved. You’ll explore quality definitions, the role of the customer, and the essential principles and tools that drive continuous enhancement. Module 2: Quality Management Systems and Tools Dive deeper into structured quality frameworks with a focus on ISO 9000 series standards, implementation of Quality Management Systems (QMS), and the use of advanced tools like Statistical Process Control (SPC). This module equips you with the knowledge to apply quality practices in diverse industry settings. Module 3: Enhancing Customer Satisfaction through Quality This module focuses on building a customer-centric approach to quality. Learn how to convert customer feedback into actionable improvements, create customer-focused strategies, and sustain high levels of satisfaction through continuous improvement and engagement. Course Learning Objectives By the end of this course, learners will be able to: - Explain the core principles of quality improvement and management and their relevance across industries. - Apply tools such as the PDCA cycle and SPC to real-world quality improvement initiatives. - Implement ISO 9000 series standards to establish effective quality management systems. - Evaluate customer feedback and transform it into strategies that enhance satisfaction and quality performance. Target Audience This course is ideal for: - Manufacturing, Quality, Production, QA, and QC Engineers aiming to improve the quality of products or services. - Lean Management students and quality enthusiasts who want to build expertise in Quality Improvement and Management. - Professionals from any industry seeking to understand and implement best practices in quality management systems. - Team leads and managers responsible for ensuring operational excellence and customer satisfaction. Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.
Johns Hopkins University
Pillar #3: Drug Effectiveness - Real-World Evidence
This course addresses the key principles of research aimed at assessing the effectiveness and safety of pharmaceuticals. We begin by exploring the role of effectiveness research and stakeholders who need this evidence and explore the common observational designs that are used with real world data to generate real world evidence about safety, effectiveness and comparative effectiveness of drugs. We discuss confounders and biases that must be addressed and methods for overcoming these challenges both in the design and in the analysis of observational studies. We briefly address pragmatic trials as a source of effectiveness and safety information. The course concludes with examples of published studies illustrating good practices.
Dassault Systèmes
Practice CATIA Part Design
In this learning course, you will learn how to create 3D models using the CATIA Part Design app. You will also learn how to use different feature-based tools to build a 3D model. Further, you will also learn how to add parameters, reuse data, create models using tables, and modify a model.