The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Google Cloud
App Dev: Storing Image and Video Files in Cloud Storage - Python
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you add images and video to an application. You store files as objects in a Cloud Storage bucket.
Northeastern University
Mastering Negotiation Skills & Strategies
Designed to improve students’ understanding of the negotiations process and their ability to plan and conduct negotiations effectively. Includes such activities as readings, lectures, and discussions as well as case discussions and role-playing negotiation exercises.
Coursera
GenAI in Litigation and Dispute Resolution
Did you know that GenAI is changing the way attorneys practice litigation by automating processes, increasing outcomes, and redefining success? Consider adopting GenAI to simplify processes, decrease repetitive activities, and provide quicker and more accurate legal services. As GenAI revolutionizes litigation, this course provides current legal practitioners with practical skills to remain competitive. You'll learn how to use GenAI for case research, automate document reviews, and improve client interactions to save time and boost efficiency. Whererever possible, you will be able to try out of court dispute resolution methods too. This course covers: - Using GenAI for case prediction, sentiment analysis, and legal document review. - Practical methods to improve research accuracy and automate time-consuming tasks. - Real-world examples of how to resolve complicated legal issues. This course is designed for legal professionals, including legal assistants, paralegals, junior lawyers, and litigation support specialists, who want to streamline their workflows using AI. It also caters to legal tech enthusiasts eager to explore how AI is transforming the legal industry and AI enthusiasts interested in real-world applications of AI in litigation. Whether you’re looking to enhance case analysis, automate repetitive tasks, or optimize document review, this course provides actionable insights tailored to your needs. A desire to improve litigation procedures and an interest in using GenAI technologies in legal practice will put you up for success in this course. Knowledge of legal research and case analysis, as well as familiarity with client contact, will enable you to make the most of the practical applications discussed. If you want to innovate and improve your legal practice, this is the course for you! By the end of this course, learners will understand the fundamental concepts and benefits of GenAI in litigation preparation and support. They will be able to identify AI-driven strategies for automating case prediction and document review, improving accuracy and efficiency. Additionally, participants will gain practical skills in applying GenAI tools to enhance litigation tactics, including client engagement, court interactions, and witness preparation.
Arizona State University
Strategic Thinking
Planning will get you far, but only if you know what you’re planning for. To think strategically, you need to analyze insights and evaluate possible scenarios before building that strategy. It’s possible to eliminate some uncertainties and identify trends, but you need the right process. You’ll have to gain insights first, and then take a long look at what you have. With all the right information, you can start to make informed decisions about your next steps. With the expertise of Dr. Timiebi Aganaba from the ASU School for the Future of Innovation in Society, the Strategic Thinking course will put the tools, knowledge and strategies to develop strategies directly into your hands. You’ll learn the fundamentals and get acquainted with your strategic toolkit. Then, you’ll directly apply them in hands-on scenarios. Strategic thinking involves more than just coming up with a plan: You need to analyze the world around you. The trends and uncertainties that influence your situation will help you come to a decision and plan for scenarios ahead of time — skills that anyone can learn and apply anywhere. Take the next step of your strategic thinking journey today!
Packt
Advanced Security Strategies and Incident Response
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. Delve into advanced cybersecurity tactics with this extensive course that bridges security strategies and incident response. Designed for IT professionals and enthusiasts, this course equips you with the skills needed to secure virtual, cloud, mobile, and dedicated systems while mastering incident handling and forensics. Gain the expertise to prevent, detect, and respond to sophisticated threats while ensuring business continuity. Begin your journey by securing virtual and cloud environments, and exploring containerization, hypervisors, and cloud service models. Learn to defend public servers against DDoS and other attacks. The course progresses into securing dedicated systems like IoT and industrial control systems, with an emphasis on mobile device hardening and embedded technologies. Each module combines theoretical understanding with practical labs. Advance in secure protocols and applications, where you'll tackle DNS, FTP, and web security through labs and real-world scenarios. Explore vulnerability assessments, penetration testing, and the latest security frameworks like OWASP and NIST. Finally, master incident response by creating robust plans, conducting forensic investigations, and implementing business continuity strategies to minimize downtime and data loss. Tailored for intermediate to advanced learners, this course is ideal for cybersecurity professionals, IT administrators, and students seeking to refine their expertise in security architecture and incident management. Prior IT knowledge is recommended for optimal learning.
The University of Edinburgh
Chicken Behaviour and Welfare
This course explains the general principles of chicken behaviour and welfare, and the behavioural and physiological indicators that can be used to assess welfare in chickens kept in hobby flocks through to commercial farms. The focus is primarily on laying hens and meat chickens (broilers) although many of the principles are relevant to other types of poultry. The course is likely to be of interest to people who own chickens as pets or keep a small hobby flock, commercial egg and chicken meat producers, veterinarians and vet nurses. Learning Objectives: at the end of this course, you will be able to - - Describe avian sensory perception and motivation - Explain the main behaviour patterns of poultry - Define welfare and explain the bases of welfare standards - Assess chicken welfare, using behavioural and physiological means - Understand common welfare problems of chickens This course is taught by staff from Scotland's Rural College (SRUC), University of Glasgow, and St David's Poultry Team. © University of Edinburgh and Scotland's Rural College 2016 CC BY Learners can apply for Financial Aid directly with Coursera to assist with the cost of accessing the full course and gaining a certificate for successfully completing the course.
Coursera
Error-Free Healthcare Data Entry
Did you know that data entry errors in healthcare can cost hospitals up to $62 billion annually and directly impact patient safety? This Short Course was created to help healthcare data professionals accomplish error-free data entry that ensures patient safety and regulatory compliance. By completing this course, you'll be able to systematically recall all mandatory data fields, apply validation rules to achieve 100% pass rates, and perform quality control checks that maintain data integrity in healthcare systems. By the end of this course, you will be able to: - Recall required data fields for standardized documentation - Apply validation rules to enter data from physical records into digital formats - Evaluate the accuracy of a data-entry batch against source documents This course is unique because it focuses specifically on healthcare data entry with real adverse-event scenarios and industry-standard validation procedures. To be successful in this project, you should have basic computer skills and familiarity with healthcare terminology.
University of Illinois Urbana-Champaign
Healthcare Business Strategy and New Venture Design
This course is designed for students aspiring to lead and innovate in the healthcare sector, providing them with the essential strategy and business skills necessary to launch, manage, and grow successful new ventures. Students will gain a deeper understanding of strategic considerations through analysis of external factors shaping the healthcare industry and learn how to develop and implement sustainable business models to create and capture value. The course will also cover key elements of developing a robust business plan, building and managing a new venture team, examining various financing options, and engaging with potential investors within the healthcare ecosystem.
University of California, Santa Barbara
Balance Sheet Issues
By the end of this course, you will be able to analyze how major balance sheet accounts are measured, estimated, and reported under financial accounting standards. You will evaluate capitalization decisions, apply multiple depreciation methods, assess accounting estimates such as credit losses and warranties, and interpret equity transactions including common stock, preferred stock, and retained earnings. This course is designed for learners developing strong financial reporting competency, particularly those preparing for professional accounting exams or advancing in accounting and finance roles. Through practical examples and journal entry walkthroughs, you will see how financial decisions affect both the income statement and the balance sheet. What makes this course unique is its applied, decision-oriented approach. Rather than memorizing definitions, you will examine the real-world implications of financing choices, equity issuance, depreciation strategies, and retained earnings management. By connecting technical accounting mechanics to business strategy, you will strengthen your ability to interpret financial statements with confidence and professional judgment.
Novartis
Targets, Assays & Screening
This course focuses on the early stages of drug discovery and the identification of promising compounds with which to begin the hunt for a novel drug. Different types of assays and methods are reviewed that are used to screen libraries of molecules in the preliminary search for compounds with activity. Methods are discussed for validating that active molecules are indeed engaging a target associated with a predicted therapeutic benefit. Target audience: This course is suitable for life scientists, clinicians, and individuals from fields that support drug discovery (e.g., patents, finance, licensing, etc.) interested in learning more about the pharmaceutical/biotechnology sector. Advanced undergraduate coursework or practical familiarity/working knowledge in biological sciences and organic chemistry is recommended.
Kennesaw State University
Professional Selling: Step 1 - Think Like a High-Performer
Foundational Skills and Knowledge Required of High Performing Salespeople. This course takes the mystery out of sales and the sales process. Learners will gain a clear understanding of the sales process and the fundamental skills required to build lasting, long-term, trusting relationships with customers. Participants in Course One will be provided “The Road Map” to the sales process and learn how the highest performing salespeople think about sales and sales activity. Important to successfully developing strong relationships is understanding how to build trust and how salespeople move customers through their purchasing decisions.
Google
Abschlussprojekt: Projektmanagement in der realen Welt anwenden
In diesem Abschlusskurs des Google Project Management Certificate üben Sie die Anwendung der bisher erlernten Projektmanagementkenntnisse und -fähigkeiten. Wir empfehlen den Lernenden, die Kurse 1 bis 5 vor Beginn des Abschlusskurses abzuschließen, da sie die Grundlage für die Ausführung der Aktivitäten in diesem Kurs bieten. Im Verlauf dieses Kurses werden Sie ein Mitglied des Projektmanagements in einem realen Szenario „beobachten“ und Dutzende von praktischen Aktivitäten ausführen. Sie werden: - Projektdokumente analysieren, um Projektanforderungen zu identifizieren und Stakeholder zu bewerten - eine Projektcharta vervollständigen und sie als Tool verwenden, um den Projektumfang und die Ziele mit den Stakeholdern abzustimmen - Aufgaben und Meilensteine identifizieren und in einem Projektplan dokumentieren und priorisieren - Qualitätsmanagementstandards definieren und untersuchen, wie qualitative Daten effektiv ausgetauscht werden können - die Auswirkungen Ihres Projekts durch effektive Berichterstellung demonstrieren Am Ende dieses Kurses werden Sie ein Portfolio von Projektmanagement-Artefakten entwickelt haben, die die Fähigkeiten demonstrieren, die Sie während des gesamten Programms gelernt haben, z. B. Ihre Fähigkeit, Stakeholder und Teams zu managen, Pläne zu organisieren und Projektdetails zu kommunizieren. Diese Artefakte können Ihre Eignung unterstreichen, wenn Sie sich auf Stellen in diesem Bereich bewerben. Um sich noch besser auf Vorstellungsgespräche für Stellen im Projektmanagement vorzubereiten, reflektieren Sie über vergangene Projekte, entwickeln eine Kurzpräsentation und spielen häufige Fragen eines Vorstellungsgesprächs durch. Projektmanagende von Google werden Sie weiterhin anleiten und Ihnen die Strategien, Tools und Ressourcen an die Hand geben, mit denen Sie Ihre Ziele erreichen. Nach Abschluss dieses Programms können Sie sich auf Einstiegspositionen im Projektmanagement bewerben. Sie haben auch die Möglichkeit, ein Abzeichen für die erfolgreiche Teilnahme zu beantragen, das für Arbeitgebende erkennbar sein wird.
Google Cloud
Google Cloud Fundamentals: Core Infrastructure
Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.
Johns Hopkins University
CUDA Advanced Libraries
This course will complete the GPU specialization, focusing on the leading libraries distributed as part of the CUDA Toolkit. Students will learn how to use CuFFT, and linear algebra libraries to perform complex mathematical computations. The Thrust library’s capabilities in representing common data structures and associated algorithms will be introduced. Using cuDNN and cuTensor they will be able to develop machine learning applications that help with object detection, human language translation and image classification.
Real Madrid Graduate School Universidad Europea
Harnessing AI for Injury Prevention and Recovery in Football
This course examines how environmental and contextual factors interact with artificial intelligence to shape injury risk and performance in elite football. Learners explore how playing surfaces, travel schedules, sleep patterns, and gender-specific biomechanics influence athlete health, and how AI models transform these complex variables into actionable prevention strategies. Using evidence-based insights, the course analyses how artificial turf alters movement mechanics, why injury risk differs by position and gender, and how modern clubs adjust training and recovery to surface-specific demands. The course also investigates the impact of travel fatigue and jet lag on physiological and cognitive performance. Learners will understand how AI systems integrate sleep data, circadian disruption, wellness scores, and performance metrics to forecast adaptation timelines and personalise recovery. Through practical football case studies, the course illustrates how machine learning models detect fatigue signatures, optimise training loads, and support individualised interventions. By the end of this course, learners will understand how AI enhances the management of contextual injury risks and will be able to apply data-driven strategies to reduce injuries, optimise readiness, and safeguard long-term player health.
University of California, Davis
Predictive Models for Toxic Chemical Releases
Discover the core principles of process safety and risk analysis in chemical engineering through our dynamic course. Gain expertise in modeling liquid and gas leaks, accurately assessing potential material releases, and calculating downwind exposures to toxic chemicals using state-of-the-art dispersion models. This course equips chemical engineers with essential skills to evaluate and mitigate hazardous concentrations effectively, ensuring industrial process safety. From theoretical foundations to practical applications, participants will learn to propose prevention measures and advance their careers in chemical engineering. Join us to elevate your proficiency in process safety and make a meaningful impact in the field.