The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Microsoft
Power BI & Power Virtual Agents
This cover will cover the capabilities of Power BI, a business intelligence tool that transforms raw data into data visualizations and interactive dashboards. The course will guide you through connecting various data sources, shaping your data for analysis, and designing compelling visualizations to uncover hidden trends and patterns all within the Power BI platform. You'll also learn about the security features of Power BI, ensuring your data remains protected and accessible only to authorized users. Moving forward, you'll discover the ease of creating chatbots with Power Virtual Agents. This no-code platform will allow you to build intelligent bots that can talk to your customers and employees and enhance their overall user experience. You'll learn how to define conversation topics, design interactive dialogues, and publish your chatbot across various platforms like Microsoft Teams, Facebook, and etc. The course concludes by demonstrating how to analyze your chatbot's performance, allowing you to continuously refine and improve its effectiveness.
LearnQuest
Edge Computing Fundamentals
This course is designed for IoT Product Developers, Cybersecurity professionals, and enterprise IT leaders who wish to understand the technological landscape to ensure their products are secure and fit for their purpose. This course serves as an introduction to the specialization. Upon completion, learners will be able to identify key architectural components of edge computing networks, compare various types of devices and sensors utilized in edge computing, identify challenges associated with edge networks, compare key principles of cybersecurity, identify potential security vulnerabilities in edge networks, list security protocols, explain data privacy and confidentiality, and more. Module 1 includes topics such as the architecture of edge networks, edge computing technologies, devices and sensors, network infrastructure, communication technologies, and more. In Module 2, you will explore the various applications of edge networks such as IoT, Smart Cities, autonomous vehicles, healthcare, industrial automation, and retail and energy management. Module 3 will consist of several topics including common security vulnerabilities as well as the challenges and fundamental concepts in security and privacy.
Packt
Ethical Hacking and CompTIA PenTest+ V3 (PT0-003) Exam Prep
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. Prepare for the CompTIA PenTest+ (PT0-003) exam with hands-on training in ethical hacking techniques and penetration testing best practices. You will learn to plan and execute penetration tests, gather intelligence, conduct vulnerability scanning, and exploit weaknesses in various network and system environments. Along the way, you'll develop skills to assess real-world scenarios in wireless, web, cloud, and mobile platforms. Throughout the course, you’ll delve into core penetration testing concepts like legal groundwork, network-based attacks, and advanced techniques like privilege escalation, social engineering, and post-exploitation tactics. You’ll also gain proficiency in using a wide array of tools such as Kali Linux, Wireshark, Metasploit, and Nmap for performing penetration tests and interpreting results. This course is perfect for those aiming to take the CompTIA PenTest+ certification exam, IT professionals seeking to expand their skills, or anyone interested in entering the field of ethical hacking. You’ll be guided through each step, from planning and engagement to reporting findings, ensuring you’re fully prepared to excel. By the end of the course, you will be able to perform vulnerability assessments, exploit weaknesses, conduct network-based and wireless attacks, utilize advanced tools, and understand the legal and ethical aspects of penetration testing.
Edureka
Generative AI for Security Fundamentals
This program equips cybersecurity professionals, IT teams, and business leaders with foundational knowledge and practical skills to secure AI-driven systems using Generative AI and Large Language Models (LLMs). You’ll start by understanding AI’s role in cybersecurity, exploring traditional security methods, LLM architectures, and how GenAI applications are transforming threat detection and defense mechanisms. Next, you’ll dive into Generative AI security fundamentals, learning prompt engineering techniques, risks of manipulation, and how to securely design interactions with AI models. You’ll also gain hands-on experience applying LLMs to threat analysis, identity management, and security automation. By the end of this program, you will be able to: - Explain the foundational concepts of AI and its implications for cybersecurity. - Differentiate between traditional AI, LLMs, and Generative AI applications in security contexts. - Apply secure prompt engineering methods and mitigate risks associated with AI interactions. - Use LLMs to enhance threat detection, identity management, and automation in security workflows. - Identify vulnerabilities in AI architectures and implement best practices to secure models - Understand adversarial machine learning techniques and deploy defenses to protect AI systems. - Evaluate AI-driven security processes for ethical, transparent, and resilient operations. This course is designed for cybersecurity engineers, AI security specialists, LLM engineers, ML engineers, and cloud/edge security architects looking to build expertise in AI security. Join us to develop the skills needed to protect modern cybersecurity environments with AI-powered solutions and best practices.
University of Colorado Boulder
Algebra and Differential Calculus for Data Science
Are you interested in Data Science but lack the math background for it? Has math always been a tough subject that you tend to avoid? This course will teach you the most fundamental Calculus concepts that you will need for a career in Data Science without a ton of unnecessary proofs and techniques that you may never use. Consider this an expressway to Data Science with approachable methods and friendly concepts that will guide you to truly understanding the most important ideas in Differential Calculus. We will review some algebra basics, talk about what a derivative is, compute some simple derivatives and apply the basics of derivatives to graphing and maximizing functions. This course is designed to prepare learners to successfully complete Statistical Modeling for Data Science Application, which is part of CU Boulder's Master of Science in Data Science (MS-DS) program. Logo courtesy of ThisisEngineering RAEng on Unsplash.com
Coursera
Budgeting: Apply Inflation & Approaches
Budgeting is more than forecasting numbers—it’s the foundation of sound financial planning. In this intermediate-level course, you’ll learn how to recognize and apply core budgeting approaches used in business today, including incremental, zero-based, and rolling methods. You’ll explore how each approach supports different organizational goals and how to choose the right one for your role. Then, you’ll shift from structure to precision by applying inflation factors to update an operating expense budget. Through short videos, guided readings, and hands-on spreadsheet practice, you’ll learn to calculate accurate cost adjustments and interpret their impact on financial decisions. By the end of the course, you’ll be able to design and update budgets that reflect real-world conditions—balancing control, flexibility, and credibility in every financial plan. These skills are essential for analysts and professionals responsible for driving effective budgeting and forecasting.
University of Pennsylvania
AI in Education: Leveraging ChatGPT for Teaching
Working alongside Ethan and Lilach Mollick, teachers at all levels will be empowered with the knowledge and skills to effectively incorporate AI into their classrooms. As AI becomes increasingly prevalent, understanding its capabilities, benefits, and potential pitfalls is crucial for modern educators. This short course demystifies AI, focusing on tools like ChatGPT, and provides practical guidance on how to use these technologies to enhance teaching and learning experiences. By the end of the course, you will be crafting effective AI prompts and designing AI-driven assignments that align with your educational goals, seamlessly incorporating AI into your teaching and making your classroom more efficient, innovative, and impactful. You will be able to navigate common challenges, such as maintaining academic integrity and addressing ethical concerns. You will be able to harness AI’s potential, saving you time, helping you personalize learning, and increasing student engagement.
Coursera
Deep Learning for Real Estate Price Prediction
In this hands-on guided project, we will predict real estate prices with deep learning. In this project, we will predict home sale prices in King County in the U.S. between May, 2014 and May, 2015 using several features such as number of bedrooms, bathrooms, view, and square footage. This guided project is practical and directly applicable to the real estate industry. You can add this project to your portfolio of projects which is essential for your next job interview.
California Institute of the Arts
Fundamentals of Graphic Design
Graphic Design is all around us! Words and pictures—the building blocks of graphic design—are the elements that carry the majority of the content in both the digital world and the printed world. As graphic design becomes more visible and prevalent in our lives, graphic design as a practice becomes more important in our culture. Through visual examples, this course will teach you the fundamental principles of graphic design: imagemaking, typography, composition, working with color and shape... foundational skills that are common in all areas of graphic design practice. I don't just want you to watch a video of someone talking about design, I want you to MAKE design! If you want to be a designer you have to be a maker and a communicator, so this course will offer you lots of opportunities to get your hands dirty with exercises and with more practical projects. At the end of this course you will have learned how to explore and investigate visual representation through a range of image-making techniques; understand basic principles of working with shape, color and pattern; been exposed to the language and skills of typography; and understand and have applied the principles of composition and visual contrast. If you complete the course, along with its optional (but highly recommended) briefs, you will have a core set of graphic design skills that you can apply to your own projects, or to more deeply investigate a specialized area of graphic design. To succeed in this course you will need access to a computer. You can complete this course without one but it will be tougher. Access to, and a beginner's level knowledge of Adobe Creative Suite programs, such as Illustrator, Photoshop and InDesign will help you, especially if you want to complete the optional briefs.
Coursera
Breast Cancer Prediction Using Machine Learning
In this 2 hours long project-based course, you will learn to build a Logistic regression model using Scikit-learn to classify breast cancer as either Malignant or Benign. We will use the Breast Cancer Wisconsin (Diagnostic) Data Set from Kaggle. Our goal is to use a simple logistic regression classifier for cancer classification. We will be carrying out the entire project on the Google Colab environment. You will need a free Gmail account to complete this project. Please be aware of the fact that the dataset and the model in this project, can not be used in real-life. We are only using this data for educational purposes. By the end of this project, you will be able to build the logistic regression classifier to classify between cancerous and noncancerous patients. You will also be able to set up and work with the Google colab environment. Additionally, you will also be able to clean and prepare data for analysis. You should be familiar with the Python Programming language and you should have a theoretical understanding of the Logistic Regression algorithm. You will need a free Gmail account to complete this project. 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 California San Diego
Algorithmic Toolbox
This online course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming. We will learn a lot of theory: how to sort data and how it helps for searching; how to break a large problem into pieces and solve them recursively; when it makes sense to proceed greedily; how dynamic programming is used in genomic studies. You will practice solving computational problems, designing new algorithms, and implementing solutions efficiently (so that they run in less than a second).
Google Cloud
Conceptos básicos de Google Cloud VMware Engine
En este curso, comenzarás estableciendo una base sólida de los conceptos básicos de Google Cloud VMware Engine (GCVE). A partir de ahí, profundizarás en la arquitectura única y los componentes de GCVE explorando cómo preparar, implementar y estudiar las VMs en un entorno de nube privada. Posteriormente, se te guiará a través de la administración y supervisión de tu nube privada, la configuración de componentes de red y de almacenamiento, y la conexión de GCVE con el ecosistema más amplio de servicios de Google Cloud y el Internet.
Dartmouth College
The American Renaissance and Walt Whitman
This course explores Whitman's working class context and explains why Whitman turned into a poet from a printer. You will also learn about Whitman’s free verse within the context of the post-Jacksonian American society. You will realize why Whitman revised some of his writings.
EDUCBA
Analyze and Develop Core Personality Skills for Beginners
Learners will be able to explain core personality development concepts, analyze behavioral patterns, apply structured personality frameworks, and demonstrate strategies for sustained personal transformation. This beginner-level course provides a structured and practical introduction to personality development, guiding learners from foundational understanding to advanced self-awareness and growth. Through clearly sequenced modules, learners explore how personality is formed, how behavior reflects underlying traits, and how structured models such as the Architectural Matrix can be used to interpret personality dynamics responsibly. The course places special emphasis on understanding complex personality interactions, including narcissistic complements, their psychological impact, and effective relationship management strategies. Learners will also develop resilience, tenacity, and reflective practices needed for long-term personality mastery and transformation. What makes this course unique is its balance of conceptual clarity, ethical application, and personal growth focus. Rather than offering superficial tips, the course equips learners with frameworks and analytical skills that can be applied across personal, social, and professional contexts. By the end of the course, learners gain actionable insights to consciously shape their personality, improve self-regulation, and build healthier interpersonal relationships.
Coursera
Setting Up a Digital Library with EPIC
By the end of this project, you will have created a digital library for students that will connect them to over 40,000 digital books while giving teachers the ability to assign books to students and view student progress. EPIC is an invaluable tool for the tech-connected classroom. Whether used in the classroom, for virtual learning, or at home, EPIC allows all children to have access to quality books, audiobooks, and videos to encourage their love of reading. If you are looking for ways to motivate young readers or ensure that access to books is never a problem for growing readers, join me as we learn how to use EPIC to help all students succeed. *You will need a free EPIC account for this project.
Fred Hutchinson Cancer Center
Write Smarter with Overleaf and LaTeX
This course will introduce you to LaTeX, a document preparation system for creating highly customized formatted documents and Overleaf, a tool that makes writing with LaTeX much easier. LaTeX and Overleaf are particularly useful for scientific researchers who may want to write scientific manuscripts and be able to reformat the manuscript easily for different scientific journals. Unique Features of this course - Very beginner friendly approach to LaTeX which is often considered to be an intimidating subject - Guidance through starting using a template for scientific articles for a preprint archive - A relatively quick summary overview of how to use the main features of Overleaf - Some historical context Key Words Typesetting, LaTeX, Overleaf, Scientific Manuscripts, Scientific Publishing Intended Audience - The course is intended for scientific writers who might be interested in learning how to automate some of their writing formatting/layouts Note: No prerequisite knowledge is required. Learning Objectives 1. Be familiar with what LaTeX is and how it came to be 2. Understand the benefits of LaTeX and Overleaf 3. Get started writing in Overleaf with a template for a scientific manuscript 4. Add references to a document in Overleaf 5. Get help if you encounter challenges 6. Work collaboratively on Overleaf Accessibility We are committed to making our content accessible and available to all. We welcome any feedback you might have at https://forms.gle/3sTZpctxzYyhj74NA. Questions related to accessibility accommodations should be directed to https://studentserviceportal.force.com/s/. PDF versions of this course can be found at https://leanpub.com/courses/fredhutch/overleaf_intro. Overleaf is a very useful tool for collaborative scientific writing. It has an advantage over other potential collaborative writing options in that it enables for seamless changes in formatting and arrangement of text to allow you to submit to various publication platforms, such as preprint archives or scientific journals. Another advantage of Overleaf is that it is based on using LaTeX which makes it easy to add mathematical formulas to your writing. It also helps you do really complicated formatting and layouts with much more ease than other options and it makes it easy to replicate that complicated formatting/layout again for other papers or other writing products. It is widely used in certain fields like statistics and computer science. Therefore, it can also be useful to know about if you have collaborators in these fields.