The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
AI Business School
Introduction to AI for customer care professionals
Welcome to the “Introduction to AI for customer care professionals” — a unique, hands-on course designed to help you build foundational AI and Generative AI literacy. In this course, you’ll discover how Generative AI is transforming the customer care profession, explore key risks and best practices, while experimenting with powerful AI tools in interactive, customer care-focused applications. By the end of this course, you will be able to: - Understand the fundamentals of AI and its potential opportunities in customer care - Explore and recognize risks and limitations associated with AI and how to address them - Practice with different AI tools to get hands-on experience - Get started with essential prompting techniques for using different Generative AI models - Discover and try out various customer care-specific use cases and AI technologies, explore the ways to integrate them into daily job routines - Participate in a project to generate a customer care-specific AI use case idea with an interest in programming. - Prepare for the next phase of your AI journey, progressing from foundational to advanced applications Welcome to the unique “Introduction to AI for customer care professionals” course. Just start your AI journey and discover all the fascinating opportunities opened up for you by Artificial Intelligence.
Coursera
Improve Data Quality and Automate Errors
Master the critical skills for ensuring data reliability and building self-healing data systems. This course transforms your approach to data quality from reactive firefighting to proactive engineering driven reliability. This Short Course was created to help data management and engineering professionals accomplish systematic data quality assurance and error automation at enterprise scale. By completing this course, you'll be able to implement quantitative data quality measurements, establish monitoring systems that catch degradation trends before they impact business operations, and build intelligent SQL routines that automatically recover from data pipeline failures. By the end of this course, you will be able to: • Apply calculations to measure key data quality dimensions • Evaluate quality key performance indicators over time and recommend remediation • Create an automated SQL routine to handle and reprocess data errors. This course is unique because it blends quantitative data quality methods with practical automation engineering, enabling you to build self-healing data systems that maintain measurable quality standards at scale. To be successful in this course, you should have a background in SQL, data pipeline concepts, and basic data engineering principles.
Packt
Microsoft Sentinel Advanced Course - Secure Azure Like a Pro
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 art of automating, deploying, and optimizing Microsoft Sentinel in this comprehensive, hands-on course tailored for Azure security professionals. You’ll gain deep expertise in leveraging Infrastructure as Code (IaC) tools such as ARM templates, Bicep, Terraform, and scripting to streamline and secure your Sentinel deployments. Learn how to integrate Sentinel seamlessly into your CI/CD workflows with Azure DevOps and GitHub, unlocking powerful automation and version control capabilities. The course begins by teaching you how to automate Sentinel deployment using code and popular IaC tools. Through real-world demos, you’ll set up repositories, integrate DevOps pipelines, and understand the best practices for secure and scalable implementations. You'll also tackle advanced infrastructure deployment topics, learning how to optimize artifact management and troubleshoot pipeline issues. Next, you’ll dive deep into mastering ARM templates—learning to generate, structure, and customize them for various Sentinel components like analytics rules, workbooks, and playbooks. Finally, the course wraps up with strategies for cost optimization, showing you how to manage data connectors, optimize logging, and utilize tools like Azure Data Explorer to reduce security operations costs without compromising effectiveness. This course is ideal for cloud security engineers, Azure architects, SOC analysts, and IT professionals responsible for cloud security automation and monitoring. To get the most out of this advanced course, learners should have a foundational understanding of Microsoft Azure, familiarity with basic scripting or automation tools, and experience in cloud or security operations.
Google Cloud
Google Calendar: Getting Started
This is a Google Cloud Self-Paced Lab. Learn how to use Google Calendar to schedule meetings and events and get reminders about upcoming activities. You can also share your schedule with others and create multiple calendars that you and your team can use together. You can complete this lab in 10-15 minutes or use the extra time to explore Google Calendar.
Starweaver
New Leader Essentials: Build Teams with 20 Skills
This course is designed for new frontline supervisors stepping into leadership roles for the first time. In 20 concise, 90-second videos, you will practice essential leadership skills that help you shift from peer to supervisor with confidence. The course emphasizes practical tools for building trust, communicating with clarity, and guiding teams through daily challenges. You’ll learn how to balance authority with approachability, manage former peers effectively, and use feedback and influence strategies to improve team performance. With a focus on emotional intelligence, accountability, and professional judgment, the course equips you to handle pressure while supporting both team and personal growth. Whether you are leading on the shop floor, in customer service, or in operations, you’ll leave with actionable routines for your first 30 days as a new supervisor.
Meta
Advertising with Meta
This course will establish you as an expert in Meta Ads Manager. Learn how to structure campaigns in Ads Manager by selecting ad objectives, target audience, budget, and placement that fit your unique goals. Learn to create and manage ads across Facebook and Instagram and evaluate and optimize the results of your Ads Manager campaigns. You will end the course by creating an actual ad campaign in Ads Manager to expand not only your knowledge, but your social media marketing portfolio. By the end of this course, you will be able to: • Structure campaigns in Meta Ads Manager • Identify the major components and elements of an ad in Meta Ads Manager • Build an ad that aligns with your marketing objectives and target it to your intended audience • Set a budget, placement, and schedule for your ads in Meta Ads Manager • Edit and troubleshoot your ads in Meta Ads Manager This course is intended for people who want to learn how to use Meta Ads Manager to create, manage and optimize campaigns on Facebook and Instagram. Learners don't need marketing experience, but they have basic internet navigation skills and are eager to participate and connect in social media. Learners must have a Facebook account and an Instagram account helps. Ideally, learners have already completed the four previous courses in this program.
Special Competitive Studies Project
AI in National Security: Integrating Artificial Intelligence into Public Sector Missions
The Special Competitive Studies Project (SCSP), in partnership with Coursera, created this custom course to upskill national security professionals in AI. SCSP is the premier voice in the national security space, driving recommendations and conversations about the crucial role that emerging technologies, especially artificial intelligence, play in the national security and competitiveness space that defines our world today. This course will provide hands-on, use-case driven upskilling in AI for mid-career national security practitioners. While many AI educational offerings are available for senior leaders, or as basic fundamental skills for everyone, there are no publicly available, free, and asynchronous courses targeting national security practitioners with real-world tactical applications. Each module is designed to address different dimensions of learning how to use AI to be more effective and efficient for national security missions and why being AI-ready is so important. Our lessons feature a range of senior leaders in national security who both demo these tools and explain their importance in operations today. The course includes hands-on training with screencast examples and prepared worksheet exercises to help learners experiment with these tools on actual use cases across various career fields including operations, human resources, acquisition, policy, and financial management. The United States will not maintain global dominance unless we make bureaucracy go faster and leverage AI tools at scale for operational advantage. This course will advance learners’ ability to leverage AI tools today for their mission and to become a change agent in their organization to drive AI adoption at scale. For learners looking to receive a certificate for this course, request access to the AI + AGI in National Security microcredential edition of the course here: https://airtable.com/appmgbDtlkZkWy3p1/pag3ivkB3ObKQoFde/form
L&T EduTech
Planning of Hydropower Projects
This course provides a comprehensive exploration of renewable power projects with a focus on hydropower engineering. The course content incudes history of Hydropower Engineering, Hydropower Projects in India, key considerations in selecting location for hydroelectric projects. It elaborates on Hydrology, Stream Networks and Hydrometry, Water Availability and Design Flood Studies, Hydrograph and Flood Routing and Hydropower Potential and Efficiency. Geological and Geotechnical Considerations for hydropower projects are elaborated. The course delves into Construction Planning and Methods for Hydropower projects. Target Learners: Undergraduate students of Civil Engineering Post-Graduate Students of Integrated Water Resources Management Post-Graduate Students of Structural Engineering Faculties of Civil Engineering Domain Working Professionals in the above domain & other aspiring learners Pre-requisites: Fundamental knowledge on Fluid Mechanics, Applied Hydraulics, Water Resources Engineering Exposure to Indian codal standards
Coursera
Market Research: Design Impactful Surveys
Transform your market research capabilities with strategic survey design that drives real business insights. This Short Course was created to help digital marketing professionals accomplish data-driven customer understanding that fuels marketing success. By completing this course, you'll be able to confidently choose between primary and secondary research methods for any marketing challenge, design unbiased survey questions that capture genuine customer interest, and implement professional surveys using industry-standard tools that you can deploy immediately in your marketing campaigns. By the end of this course, you will be able to: Explain the distinct purposes and characteristics of primary and secondary market research Apply survey design principles to draft questions that gauge customer interest This course is unique because it bridges strategic research thinking with hands-on tool implementation, ensuring you not only understand when and why to use different research approaches but can immediately execute professional surveys that generate actionable customer insights. To be successful in this project, you should have a background in basic marketing concepts and familiarity with Google Workspace tools.
Google Cloud
Work with Gemini Models in BigQuery - Bahasa Indonesia
Kursus ini menunjukkan cara menggunakan model AI/ML untuk tugas-tugas AI generatif di BigQuery. Melalui kasus penggunaan praktis yang melibatkan pengelolaan hubungan pelanggan (CRM), Anda akan mempelajari alur kerja pemecahan masalah bisnis dengan model Gemini. Untuk memudahkan pemahaman, kursus ini juga menyediakan panduan langkah demi langkah melalui solusi coding menggunakan kueri SQL dan notebook Python.
E2E Testing
E2e Course Test Fixtures Learner Fireflies Source
This is a test course for e2e and API tests for the Learner Fireflies team
Scrimba
Deploy AI Apps with Cloudflare
Dive into deploying secure and robust applications with our Cloudflare course. Learn to manage API requests with Cloudflare workers, boost app strength with an AI Gateway, and launch websites using Cloudflare Pages. This hands-on course also teaches you to refine error handling for smoother user experiences. Build practical skills in using Cloudflare’s features to secure APIs, enhance sites with AI, and ensure reliability. By the end of the course, you'll be skilled at using Cloudflare to boost your applications' security and performance, ready to solve real-world problems.
Fudan University
创作吧！微影人！
对于热爱微电影的学习者来说，今天这个信息化时代提供了前所未有的便利，他能找到各种关于电影理论、电影制作或是电影评论的书籍和影像，然而对于一个立志成为创作人的学习者来说，只有真正亲历创作过程，并和其他志同道合的创作者交流切磋，才是通往自我表达之路的最佳途径。 企业合作 1、腾讯体育合作项目：NBA明星的视频。优秀影片可以直接被在腾讯体育收录播出。 2、拍电影网合作项目：优秀剧本和PPM（Pre-Production Meeting，拍摄前会议）策划案的作者，将可能获得拍电影网的微电影创作培训班，或者专业器材设备支持，在实战中创作出具有专业水准的微电影作品。
Universidad Nacional Autónoma de México
Liderazgo e innovación
En este curso, construirás una propuesta para resolver un problema familiar, laboral o comunitario, con base en los retos y tendencias del liderazgo resiliente en la era digital. De la mano de expertos de diferentes áreas del conocimiento, formularás el proyecto en tres semanas: - en la primera, identificarás tu problema a resolver y los tipos de liderazgo que te ayudarán a plantear tu proyecto - en la segunda semana, identificarás experiencias relacionadas con el liderazgo resiliente e inclusivo con responsabilidad social, para así formular la meta de tu proyecto - en la tercera semana, construirás tu estrategia de liderazgo resiliente en equipos multi y transdisciplinares.
New York University
Fundamentals of Machine Learning in Finance
The course aims at helping students to be able to solve practical ML-amenable problems that they may encounter in real life that include: (1) understanding where the problem one faces lands on a general landscape of available ML methods, (2) understanding which particular ML approach(es) would be most appropriate for resolving the problem, and (3) ability to successfully implement a solution, and assess its performance. A learner with some or no previous knowledge of Machine Learning (ML) will get to know main algorithms of Supervised and Unsupervised Learning, and Reinforcement Learning, and will be able to use ML open source Python packages to design, test, and implement ML algorithms in Finance. Fundamentals of Machine Learning in Finance will provide more at-depth view of supervised, unsupervised, and reinforcement learning, and end up in a project on using unsupervised learning for implementing a simple portfolio trading strategy. The course is designed for three categories of students: Practitioners working at financial institutions such as banks, asset management firms or hedge funds Individuals interested in applications of ML for personal day trading Current full-time students pursuing a degree in Finance, Statistics, Computer Science, Mathematics, Physics, Engineering or other related disciplines who want to learn about practical applications of ML in Finance Experience with Python (including numpy, pandas, and IPython/Jupyter notebooks), linear algebra, basic probability theory and basic calculus is necessary to complete assignments in this course.
Universidad Nacional Autónoma de México
Programando con Java para aplicaciones Android
¡Aprende lo mejor de Java para el desarrollo en Android! Descubre lo necesario para construir tus aplicaciones móviles de una forma sencilla, objetiva y práctica. A lo largo del curso, verás diversos ejemplos para crear tu primer Hola Mundo y practicarás la programación orientada a objetos.