The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Skillshare
Logo Animation Principles for Beginners
In this course, taught by Adam Chraibi, you will be learning about the logo animation principles in Adobe After Effects CC, we will be focusing more on the techniques rather than the theory. Since people react better to videos than images, logo animation can help the designer and the brand connect deeper with their customers. So, in this course you will learn about: - Coming up with the plot and logo restrictions - The basic principles of logo animation - Making a simple but neat logo reveal and disappear - Creating a more advanced logotype animation using the principles of animation This course is for beginners in logo animation, but being familiar with Adobe After Effects is recommended in order for you to focus on the animation techniques rather than the software. You will need: - Adobe After Effects CC, the latest version - Duik Bassel Free script - Rift free script Once you download the scripts, you basically just need to unzip and place the ''.jsx'' file in the correct folder. By the end of this course, you should be able to apply these techniques to any logotypes and symbols. Instructor bio: Adam Chraibi is a designer, animator, and video editor based in Casablanca, Morocco, with over 7 years of professional experience. His motto is simple: “If you can design it, you can animate it.” Adam’s creative journey began at art school, where he studied drawing, light, and shadow before earning a bachelor’s degree in private law. Ultimately, his passion for digital art and animation led him to leave law behind and pursue a career he truly loves. He has worked as a social media manager and designer for an airline company before becoming a full-time freelancer. In his courses, Adam focuses on teaching practical, real-world skills in a clear and efficient way. His lessons are designed to be short, straightforward, and packed with value—helping learners quickly gain the tools they need to grow their creative side hustle or professional practice.
Google Cloud
BigQuery Machine Learning using Soccer Data
This is a self-paced lab that takes place in the Google Cloud console. Learn how to use BigQuery ML with soccer shot data to create and use an expected goals model.
UBITS
Programar desde cero en pseudocódigo
Este curso es ideal para quienes desean adentrarse en el mundo de la programación desde cero y aprender a resolver problemas de manera lógica y estructurada. A lo largo del curso, te podrás familiarizar con el diseño de algoritmos usando pseudocódigo y la herramienta PSeint, con lo cual desarrollarás habilidades esenciales en el manejo de variables, constantes, operadores y estructuras condicionales. Ya sea que busques mejorar tu capacidad de análisis o estés considerando una carrera en desarrollo de software, este curso te proporcionará una base sólida para traducir tus ideas en soluciones programables y aplicables a desafíos reales.
Google Cloud
BigQuery para analistas de datos
Este curso está diseñado para analistas de datos que quieren aprender a usar BigQuery para sus labores. Con una combinación de videos, labs y demostraciones, abordaremos varios temas relacionados con cómo transferir, transformar y consultar tus datos en BigQuery para obtener estadísticas que pueden servir a la hora de tomar decisiones empresariales.
Google Cloud
Creating Dynamic Secrets for Google Cloud with Vault
This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab, you will learn how to create dynamic secrets in Vault.
Simplilearn
Search Engine Optimization
This comprehensive SEO program will equip you with the skills needed to excel in entry-level roles in digital marketing. You'll learn to optimize websites, enhance search rankings, and drive traffic through effective SEO strategies. By the end of this course, you will be able to: - Understand SEO Fundamentals: Learn the evolution, processes, and components of search engines. - Implement On-page and Off-page SEO: Optimize meta tags, content, images, and site speed for better search rankings. - Utilize Google Tools: Master tools like My Business, Ads Keyword Planner, Trends, Analytics, and Search Console. - Develop Link Building Strategies: Create effective link-building plans and combat link spam. - Create and Manage Sitemaps: Enhance website navigation and user experience with well-structured sitemaps. - Stay Updated with SEO Trends: Adapt to mobile optimization, voice search, and personalization trends. - Avoid SEO Pitfalls: Identify and prevent black hat tactics, slow page-load times, and other common issues. Guided by industry experts, you'll engage in hands-on activities and real-world examples that simulate common SEO tasks, building practical skills to prepare you for the job market.
Packt
JTBD Playbook: Align Strategy with Customer Needs
This course is designed to help professionals adopt the Jobs to Be Done (JTBD) framework, shifting from an inside-out approach to a customer-centric mindset. By mastering JTBD, learners will gain the skills to identify and solve real customer problems, ensuring that products and services align with their core needs. Throughout the course, participants will learn how to map customer jobs, develop value propositions, and craft product roadmaps that drive impactful innovation. With hands-on exercises and actionable frameworks, learners will be able to apply these insights to build products that matter. What sets this course apart is its practical approach to JTBD, blending theory with real-world case studies and actionable plays that span the customer value lifecycle—from discovery to delivery. This integration helps bridge the gap between customer needs and organizational strategies. Ideal for product managers, UX designers, and team leads, this course requires no prior JTBD experience. However, a basic understanding of product development or agile concepts will enhance the learning process. By the end, participants will be able to confidently apply JTBD to guide product strategies, design, and execution. Copyright @ 2020 Jim Kalbach. All rights reserved. Originally published by Rosenfeld Media, LLC. This course edition is published by Packt Publishing under license from Rosenfeld Media LLC. No part of this material may be reproduced, distributed, or transmitted in any form or by any means—electronic, mechanical, photocopying, recording, or otherwise—without prior written permission from the author or the publisher.
Packt
Foundations of AI, LLMs, and Development Environments
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 gain a comprehensive understanding of AI, Large Language Models (LLMs), and their development environments. You'll start by learning the foundational principles of AI and LLMs, followed by hands-on demonstrations of the projects you'll build, giving you practical experience. The course is structured progressively, from environment setup to deep dives into Python programming, culminating in the construction of LLMs using libraries like Hugging Face’s Transformers. As you work through each section, you'll be guided step-by-step with tutorials and practice exercises that reinforce key concepts. The journey includes setting up your development environment, mastering Python fundamentals, exploring deep learning and machine learning, and diving into the complexities of Generative AI. Key concepts such as the transformer architecture, self-attention mechanism, and using OpenAI APIs will be explored in detail. By completing each module, you will build your coding and problem-solving skills, progressively building toward more advanced techniques in AI development. This course is ideal for those wanting to break into AI and machine learning development. The target audience includes beginners with some basic understanding of programming, specifically those interested in AI applications. No prior experience in AI is required, though familiarity with Python will be beneficial. By the end of the course, you will be able to set up your development environment for AI projects, understand and implement LLMs using transformer architecture, create and deploy AI models, and integrate OpenAI’s models through API calls.
Google
Exécuter le projet
Il s'agit du troisième cours du programme de Certification en gestion de projet Google. Ce cours se penchera sur les phases d’exécution et de clôture du cycle de vie du projet. Vous apprendrez quels aspects d’un projet suivre et comment les suivre. Vous apprendrez également à gérer et à communiquer efficacement les changements, les dépendances et les risques. En explorant la gestion de la qualité, vous apprendrez à mesurer la satisfaction des clients et à mettre en œuvre des techniques d’amélioration continue et d’amélioration des processus. Ensuite, vous examinerez comment hiérarchiser les données, comment utiliser les données pour éclairer votre prise de décision et comment présenter efficacement ces données. Ensuite, vous renforcerez vos compétences en leadership en étudiant les étapes du développement d’une équipe et la façon de gérer la dynamique d’une équipe. Après cela, vous découvrirez des outils qui permettent une communication efficace au sein de l’équipe de projet, comment organiser et animer les réunions, et comment communiquer efficacement les mises à jour du statut du projet. Enfin, vous examinerez les étapes du processus de clôture du projet et comment créer et partager la documentation de clôture du projet. Les chefs de projet actuels Google continueront de vous instruire et de vous fournir des approches pratiques afin d’accomplir ces tâches tout en vous faisant part des meilleurs outils et ressources de gestion de projet pour le travail à accomplir. Les stagiaires qui terminent ce programme devraient avoir les connaissances nécessaires pour postuler un emploi de niveau débutant dans la gestion de projet. Aucune expérience préalable n’est nécessaire. À la fin de ce cours, vous serez en mesure de : - Identifier les aspects d'un projet à suivre et comparer les différentes méthodes de suivi. - Discuter de la manière de gérer et de communiquer efficacement les changements, les dépendances et les risques. - Expliquer les concepts clés de gestion des normes de qualité, de la planification de la qualité, de l’assurance qualité et du contrôle de la qualité. - Décrire comment créer une amélioration continue et une amélioration des processus, et comment mesurer la satisfaction des clients. - Expliquer le but d’une rétrospective et décrire comment la mener. - Démontrer comment hiérarchiser et analyser les données et comment communiquer l'historique d'un projet basé sur les données. - Identifier les outils qui permettent une communication efficace au sein de l'équipe de projet et explorer les meilleures pratiques pour communiquer les mises à jour de l'état du projet. - Décrire les étapes du processus de clôture pour les partenaires, l'équipe de projet et les chefs de projet.
Packt
Linux Troubleshooting Fundamentals
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. Master the core principles of Linux troubleshooting and gain the confidence to tackle real-world technical issues. You’ll learn how to apply structured problem-solving techniques, leverage system logs, and use tools like VirtualBox to simulate environments for hands-on practice. The course begins with foundational best practices, including how to follow standard procedures, use documentation, and communicate effectively with users and vendors. From there, you’ll move into designing a lab environment and installing multiple Linux distributions to practice resolving common system errors and network issues. Later modules dive into conceptual troubleshooting scenarios—from server inaccessibility to VM performance issues—arming you with analytical approaches to diagnose and resolve system-level problems. You’ll also gain experience troubleshooting failed installations and misconfigured environments in cloud and local setups. This course is ideal for aspiring system administrators, IT support professionals, and anyone responsible for managing Linux systems. Basic familiarity with Linux and virtualization tools is recommended. The content is geared toward learners at the Intermediate level.
Macquarie University
Cyber Security: GRC Part 1 - Governance
This course is for business leaders, compliance officers, and security professionals. It equips you to design, implement, and lead enterprise-wide cyber security strategy. You will learn to align security priorities with strategic goals, manage regulatory frameworks, and drive organizational change. By the end of this course, you will be able to: • Understand global cyber security frameworks (NIST, ISO 27001). • Design policy frameworks aligned with risk appetite and compliance. • Establish governance structures, audit readiness, and cyber risk oversight. • Develop business-aligned cyber strategies and actionable roadmaps. • Embed change management and articulate return on investment. You will gain knowledge of frameworks such as NIST, ISO 27001, ISM, and Five Safes. This program empowers you to translate complex cyber requirements into clear, actionable initiatives that protect your organization and enable growth. Basic understanding of business operations is recommended.
Google Cloud
Google Cloud IAM and Networking for Azure Professionals
This is the first course of a four-course series for cloud architects and engineers with existing Azure knowledge, and it compares Google Cloud and Azure solutions and guides professionals on their use. This course focuses on Identity and Access Management (IAM) and networking in Google Cloud. The learners apply the knowledge of access management and networking in Azure to explore the similarities and differences with access management and networking in Google Cloud. Learners get hands-on practice building and managing Google Cloud resources.
EDUCBA
Spring Framework: Build Online Shopping Apps
By completing this course, learners will be able to analyze J2EE fundamentals, implement user authentication, design interfaces and classes, configure web components, and integrate databases into Spring applications. The course begins with the foundations of J2EE and the Spring framework, showing how Spring reduces complexity and enhances scalability for enterprise-level projects. Next, learners explore the web application layer, mastering model attributes, user sessions, JSP tag libraries, and dynamic table structures while testing full project functionality. The final module emphasizes database integration, where learners design DAO classes, configure application context files, and use Spring’s JdbcTemplate for efficient query execution. This course is uniquely designed as a hands-on case study that builds a complete online shopping application, providing both theoretical insights and practical coding experience. By the end, learners will gain the confidence to apply Spring in real-world enterprise environments, ensuring scalable, maintainable, and efficient software solutions.
Johns Hopkins University
Pillar #1: Drug Development - From Bench to Bedside
Have you ever taken over the counter or prescription drug? Are you curious about how these drugs are developed, approved and brought to the market? We begin by providing an overview of drug development and approval process and the role regulatory agencies, such as the US Food and Drug Administration, play in the approval process. We discuss phases of clinical trials – phases 1, 2, 3 and 4 – to evaluate efficacy and safety of drug products, along with case studies. We define pharmacoepidemiology – a scientific discipline to study use, safety and effectiveness of medical products and interventions – and the role it plays throughout the drug life cycle with relevant case studies. We also discuss how pharmacoepidemiology informs regulatory, policy and clinical decisions. Finally, we provide high-level overview of essential tools – study protocols, data sources, study designs and analysis – to conduct pharmacoepidemiologic studies.
Tecnológico de Monterrey
Negotiation Skills and Effective Communication
We start making negotiations as soon as our day begins, through all our interactions, either work, social, or family-related. But have you ever wondered how efficiently you negotiate, and whether you could be better at it? This is a straightforward opportunity to put into practice all the knowledge you have acquired, and to confirm that the negotiation process is dynamic and can always be improved. The course integrates the most recent advances in the development of negotiation skills, based on modern life complexities, in a simple and direct way. We start out with the structure of effective communication in a negotiation, with the intention of identifying our opportunity areas, and improving them through active learning mechanisms. And what can we say about the role emotions play in a negotiation process? It is necessary to acknowledge , manage, and take advantage of them by using emotional intelligence mechanisms. Negotiation, by definition, implies the relationship between two or more parties who eventually express opposing interests and demand skills for problem-solving. In this course you will learn to identify and manage its irreversible consequences in advance.
Pragmatic AI Labs
GitHub: Governing AI-Generated Code
Learn to validate, audit, and govern AI-generated code using GitHub Copilot. This course teaches you systematic techniques for catching security vulnerabilities, logical flaws, and hallucinated APIs in Copilot output — skills essential for any team adopting AI-assisted development. You will start by building a validation workflow that combines static analysis, manual review, and security scanning to audit AI-generated code against OWASP patterns. Hands-on challenges walk you through identifying injection vulnerabilities, detecting hallucinated function calls, and documenting remediation steps. The course then covers custom Copilot configurations using copilot-instructions.md, where you define project-specific coding standards that Copilot follows automatically. You will create, test, and iterate on custom rules that enforce team conventions across all generated code. Finally, you will evaluate Large Language Models for development tasks — comparing capabilities across providers like OpenAI, Anthropic, and Google — using performance benchmarks and cost-benefit analysis to select the right model for each coding requirement. By the end of this course, you will have a governance framework for integrating AI code generation into production workflows with confidence.