The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Packt
Hands-on Hacking
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. Get ready to level up your ethical hacking skills with Hands-on Hacking, a highly practical course designed to sharpen your penetration testing capabilities across real-world scenarios. From reconnaissance and vulnerability discovery to privilege escalation and exploit development, this course offers an immersive journey through the full spectrum of offensive cybersecurity tactics. By the end, you’ll confidently navigate through complex systems, uncover security gaps, and simulate advanced attack techniques. The course begins with foundational exercises on system scanning, enumeration, and initial access, moving through scenarios involving HTTPS traffic decryption, Burp Suite proxying, and exploiting web services like Apache Tomcat. Each section builds progressively, reinforcing your knowledge through CTF-style vulnerable machines, including GoldenEye, Bob, and Misdirection. You'll learn to think like a hacker, building your technical and investigative instincts. Next, dive deep into custom exploit development using fuzzing, buffer overflows, and payload crafting, followed by multi-stage hacking environments like WinterMute. These scenarios test your pivoting skills, privilege escalation methods, and real-time adaptation to layered defenses. You'll even tackle Windows AD systems, jail shell escapes, and SQL server exploits, gaining versatility across platforms. This course is ideal for aspiring penetration testers, red teamers, and cybersecurity enthusiasts with a basic understanding of networking and Linux. Some experience with command-line interfaces and scripting (like Python or Bash) is recommended. The course is intermediate level and balances guided instruction with self-driven challenge.
Novartis
Pre-formulation
In this course we will focus on how active compounds are developed into a formulation suitable for dosing in animal studies and early human clinical trials. Factors such as the route of administration, enhancing the solubility of the drug substance, the crystalline form of the drug substance, drug substance vs. drug product, storage requirements, and how special requirements of the patient population play a role in the design of an ideal formulation will be covered. Finally, some of the differences encountered when formulating a biologic vs. a small molecule will be discussed. 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.
Coursera
Create a Simple Project Timeline in Google Sheets
By the end of this project, you will be able to create a simple Project Timeline using Google Sheets. You will have a better understanding of how to use this tool to help track and present project schedules. 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.
Coursera
Logistic Regression with NumPy and Python
Welcome to this project-based course on Logistic with NumPy and Python. In this project, you will do all the machine learning without using any of the popular machine learning libraries such as scikit-learn and statsmodels. The aim of this project and is to implement all the machinery, including gradient descent, cost function, and logistic regression, of the various learning algorithms yourself, so you have a deeper understanding of the fundamentals. By the time you complete this project, you will be able to build a logistic regression model using Python and NumPy, conduct basic exploratory data analysis, and implement gradient descent from scratch. The prerequisites for this project are prior programming experience in Python and a basic understanding of machine learning theory. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, NumPy, and Seaborn pre-installed.
Automatic Data Processing, Inc. (ADP)
Essential Skills for Comp & Benefits Professionals
Successful Compensation and Benefit Analysts consistently use data to drive their decisions in managing projects, tasks, and strategies. This course provides you with the foundational knowledge needed to develop essential skills in project management, data analytics, Microsoft Excel, and data visualization. You’ll have a chance to strengthen these skills throughout the rest of this Certificate program as you complete hands-on projects for your professional portfolio.
Google Cloud
Infraestrutura de IA: Cloud GPUs
Quer saber mais sobre o hardware avançado por trás da IA? Este módulo analisa os computadores de IA otimizados para desempenho, mostrando por que eles são tão importantes. Vamos analisar como CPUs, GPUs e TPUs tornam as tarefas de IA extremamente rápidas, o que torna cada uma delas única e como o software de IA tira o máximo proveito delas. Ao final, você saberá exatamente como escolher a GPU certa para seus projetos de IA, o que ajuda na tomada de decisões inteligentes para suas cargas de trabalho de IA.
Cisco Learning and Certifications
Threat Analysis
If you are an associate-level cybersecurity analyst who is working in security operation centers, this course will help you understand Incident Analysis in a Threat-Centric SOC. By the end of the course, you will be able to: •Use the classic kill chain model to perform network security incident analysis • Describe the reconnaissance phase of the classic kill chain model • Describe the weaponization phase of the classic kill chain model • Describe the delivery phase of the classic kill chain model • Describe the exploitation phase of the classic kill chain model •Describe the installation phase of the classic kill chain mode l• Describe the command-and-control phase of the classic kill chain model • Describe the actions on objectives phase of the classic kill chain model • Describe how the kill chain model can be applied to detect and prevent ransomware • Describe using the diamond model to perform network security incident analysis • Describe how to apply the diamond model to perform network security incident analysis using a threat intelligence platform, such as ThreatConnect • Describe the MITRE ATTACK framework and its use • Walk-through the classic kill chain model and use various tool capabilities of the Security Onion Linux distribution •Understand the kill chain and the diamond models for incident investigations, and the use of exploit kits by threat actors. To be successful in this course, you should have the following background: 1. Skills and knowledge equivalent to those learned in Implementing and Administering Cisco Solutions (CCNA) v1.0 course 2. Familiarity with Ethernet and TCP/IP networking 3. Working knowledge of the Windows and Linux operating systems 4. Familiarity with basics of networking security concepts.
Coursera
Digital Business Marketing with Easil
By the end of this project, you will know how to use Easil to digitally promote and advertise your business on Social Media. You will have learned how to create a Facebook Ad and a Facebook Cover with help of Easil. We will both use templates, and create designs from scratch. Consumers are constantly overloaded with information and images in social media. Part of social media marketing is learning creative ways to draw attention to products and services, oftentimes on a lean budget. In this course, learners will create edited social media photo posts using the free version of Easil. Easil is a web based all-in-one tool that helps you create visual content online. Learners can easily create and implement creative edits with online design tools to use when marketing their business. We can use Easil 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. 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.
EDUCBA
Build Cloud-Based Employee Management Systems
By the end of this course, learners will be able to analyze backend system requirements, design cloud-based architectures, implement data persistence layers, and deploy a fully functional Employee Record Maintenance application using Google Cloud–aligned practices. This course provides hands-on, case-study–driven learning focused on building a real-world employee management backend system. Learners begin by understanding the business problem and high-level system architecture, then progressively design the project structure, configure database connectivity, and model employee data using entities. The course advances into backend implementation, where learners develop repository layers, handle custom exceptions, expose REST APIs, and integrate a MySQL database instance. Finally, learners validate their work by running and verifying the complete application. What makes this course unique is its end-to-end case study approach, guiding learners through the full lifecycle of a backend application rather than isolated concepts. Each module connects design decisions directly to implementation, reinforcing practical cloud development skills. This course is ideal for learners seeking to strengthen backend development, cloud application design, and real-world problem-solving skills using industry-relevant patterns and workflows.
CVS Health
Call Center Customer Service
The Call Center Customer Service course requires a practical skill set of data entry and organization of information/resources. In addition, communicating with only the voice uses a wide range of communication skills. This course will provide you with practical experience in data entry and customer privacy, and the opportunity to evaluate sample interactions between a call center customer service representative and a customer. You will also have the opportunity to respond to sample calls where you can demonstrate great customer service. -By the end of the course, you will be able to: -Create positive interactions with customers -De-escalate conflict with customers -Create solutions to customer problems -Describe the different roles in call center customer service To be successful in this course, it is recommended that you complete the two courses in this program.
École Polytechnique Fédérale de Lausanne
Mécanique de Newton
Ces quelques leçons de mécanique de Newton font partie d'un cours de formation de base en mécanique Newtonienne présenté sous la forme d'un MOOC en quatre parties : 1. Lois de Newton À l’École Polytechnique Fédérale de Lausanne, un cours de mécanique fait partie de la formation de tous les futurs ingénieurs et scientifiques. Il a pour but de leur apprendre à transcrire sous forme mathématique un phénomène physique, afin de pouvoir en formuler une analyse raisonnée. Cette partie couvrira notamment la cinématique du point matériel, la balistique dans le champ de la pesanteur et l’oscillateur harmonique. 2. Mécanique du point matériel https://www.coursera.org/learn/mecanique-point-materiel 3. Mécanique du Solide Indéformable https://www.coursera.org/learn/mecanique-solide 4. Mécanique Lagrangienne https://www.coursera.org/learn/mecanique-lagrangienne
Coursera
دليل استخدام كانفا للمبتدئين
هناك عدد كبير من البرامج والتطبيقات والمواقع التي يمكن من خلالها تحرير الصور والتعديل عليها، بعضها بدائي أولي لا يتمتع بإمكانيات كبيرة، وبعضها الآخر قد يكون أكثر تعقيدات أو أعلى إمكانيات مما يحتاجه المستخدم العادي، وفي هذه الحالات يأتي دون استخدام موقع كانفا وهو الموقع الذي استطاع أن يجمع بين أفضل ما يمكن إيجاده في أي من تطبيقات تحرير الصور الاحترافية مع تقديم هذه الإمكانيات في واجهة استخدام بسيطة وسهلة ملائمة للمبتدئين، حتى ممن لا يملكون أي خبرة سابقة في تحرير الصور. ولذلك ستكون هذه الدورة التدريبية عبارة عن دراسة تمهيدية عن كانفا، حيث سنتعرف على كيفية استخدام موقع كانفا وطبيعته ووظائفه وكيفية استخدامه وعناصر التحرير الأولية المناسبة للمبتدئين. في نهاية هذه الدورة ستكون قادرا على إنشاء حسابا مجانيا وستكون لديك دراية شاملة على الواجهة الإلكترونية لكانفا ومميزات وخصائص هذا التطبيق. في هذا المشروع، ستقوم بتعديل قالب مسبق التصميم لرسم جرافيكي لوسائل التواصل الاجتماعي للأعمال التجارية، هذا التصميم سيكون قابلا للمشاركة عبر منصات وسائل الإعلام الاجتماعية الخاصة بك كما يمكن لك مشاركته كرابط عبر الإنترنت. بإكمال هذه الدورة التدريبية سيكون بإمكانك حفظ جميع تصاميمك وإنشاء مجلدات.
Google Cloud
Auf generativer KI basierende Anwendungen in Google Cloud entwickeln
Mit auf generativer KI basierenden Anwendungen, kurz GenAI-Anwendungen, werden Nutzerinteraktionen möglich, die es vor Large Language Models (LLMs) kaum gab. Wie können Sie als Anwendungsentwickler mit generativer KI interaktive, leistungsstarke Anwendungen in Google Cloud erstellen? In diesem Kurs lernen Sie etwas über Anwendungen, die auf generativer KI basieren, und erfahren, wie Sie Prompt-Design und Retrieval-Augmented Generation (RAG) nutzen können, um mit LLMs leistungsstarke Anwendungen zu entwickeln. Wir stellen Ihnen eine produktionsreife Architektur für auf generativer KI basierende Anwendungen vor und Sie erstellen eine Chat-Anwendung auf der Basis von LLMs und RAG.
O.P. Jindal Global University
Introduction to Decision Science for Marketing
Welcome to the Introduction to Decision Science for Marketing course! This course will introduce the principles and methods of data analytics as they apply to marketing. You will learn how and why to use data and analytics to inform marketing decisions and strategies. This beginner-level course provides awareness about the present practice of data-driven decision-making in the marketing discipline. This will help you familiarize yourself with practical tips about when and where to use various techniques and tools. You will learn about critical theories and concepts with the help of relevant examples. To succeed in this course, you should have basic clarity of concepts of the marketing discipline. As a prerequisite for the course, you should know key marketing terms, such as segmentation, targeting, and positioning. After the successful completion of this course, you will have basic understanding of how to use data for making marketing predictions. You will have sufficient knowledge of foundational elements, the relationship between data and marketing constructs/concepts, and how decision science and marketing work in tandem to produce relevant insights for today’s market. Finally, the course provides concrete strategies to start with decision science in marketing.
Johns Hopkins University
Essential Epidemiologic Tools for Public Health Practice
In order to make a difference in the health and well-being of a population, we must understand the burden of all problems and conditions that affect the population, as well as how well our efforts to mitigate these problems are actually working. This course provides you with some essential skills and tools that will enhance your ability to describe and understand the health of your community. The tools that epidemiologists use are in fact useful for all public health practitioners, including data scientists, program officials, agency leaders, and policymakers. Whether you are deeply enmeshed in your career and looking to augment your skills, or are looking to change career paths into the field of public health, this course will give you some of the practical knowledge and skills that we hope you can apply in your professional endeavors.
Packt
Basics of Chatbots with Machine Learning & Python
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. This course offers a thorough exploration of chatbots and their development using machine learning and Python. You’ll start with an introduction to chatbots, including their history and various applications across industries. The course then delves into the distinctions between chatbots, virtual assistants, and personal assistants, providing a comprehensive overview of their respective benefits and challenges. As you progress, you’ll focus on machine learning-based chatbots, exploring their architecture, features, and the revolutionary impact of ML on customer service, healthcare, and more. You’ll gain practical experience by working with the Natural Language Toolkit (NLTK) to develop rule-based chatbots, covering essential topics such as data input, word tokenization, lemmatization, and response generation. The course also covers advanced concepts like Wikipedia search integration and local search mechanisms, enabling you to build more robust and interactive chatbots. Finally, you will apply everything you’ve learned in a project where you develop a conversational chatbot from scratch. You’ll handle data collection, preprocessing, and response generation using sophisticated techniques like TF-IDF and cosine similarity. By the end, you’ll have a fully functional chatbot and a deep understanding of the principles and practices of chatbot development, positioning you to leverage AI in real-world applications. This course is ideal for software developers, data scientists, and AI enthusiasts who want to build chatbots using machine learning and Python. A basic understanding of Python programming is required, and familiarity with machine learning concepts will be beneficial but not mandatory.