The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
IE Business School
Legal Tech & Startups
LegalTech is the reaction to the disruption that technology is having across all sectors of the economy. Considering that the legal sector is one of the most resistant to change, due to its conservative nature, we can see just how different the future will be. In this course, IE professor Marti Manent will guide you through the essential stages of this disruption in technology, giving you the key tools and ideas to consider when starting your online business. In the course, Marti explains the key market trends that you will encounter and will provide you with a handy practical toolbox. The course features interviews with industry professionals as well as very motivating and interesting lectures that will help you open your mind and better understand everything in the course. Be part of this disruption that technology is having in the legal sector and join Professor Marti during this exciting new course.
Google
Foundations of Project Management
This is the first course in the Google Project Management Certificate program, which will help you develop the skills needed to apply for entry-level roles as a project manager. Project managers play a key role in leading, planning and implementing critical projects to help their organizations succeed. In this course, you’ll discover foundational project management terminology and gain a deeper understanding of the role and responsibilities of a project manager. We’ll also introduce you to the kinds of jobs you might pursue after completing this program. Current Google project managers will offer a multi-dimensional educational experience that will provide you with tools you can apply on the job. Learners who complete this program should be equipped to apply for introductory-level jobs as project managers. No previous experience is necessary. By the end of this course, you will be able to: - Define project management and describe what constitutes a project. - Explore project management roles and responsibilities across a variety of industries. - Detail the core skills that help a project manager be successful. - Describe the life cycle of a project and explain the significance of each phase. - Compare different program management methodologies and approaches and determine which is most effective for a given project. - Define organizational structure and culture and explain how it impacts project management. - Define change management and describe the role of the project manager in the process. - Explore use-cases for generative AI in project management
IBM
Getting Started on Mainframe with z/OS Commands and Panels
Getting Started with the IBM Mainframe with z/OS Commands and Panels is a mostly hands-on in an IBM Mainframe z/OS Environment. A total of seven labs will provide live access to an IBM Z server. The labs are designed to teach you the fundamental practical skills to navigate and work in a z/OS environment. This includes the use of ISPF/PDF dialogs, and TSO/E commands. On successful completion of this course, the learners are eligible to claim the Getting Started on Mainframe with z/OS Commands and Panels badge. More information can be found here: https://www.youracclaim.com/org/ibm/badge/getting-started-on-mainframe-with-z-os-commands-and-panels
Edureka
Developing MCP-Powered Agentic AI Systems
This program introduces you to Developing MCP-Powered Agentic AI Systems, designed for developers and AI practitioners who want to build reliable, scalable, and production-ready agent systems using the Model Context Protocol (MCP). You’ll begin by mastering the core architecture of MCP, learning how agents communicate with servers, discover tools, and access structured resources through standardized interfaces. You’ll build MCP servers, design namespaced tools, and expose real-world data through URI-based resources, establishing a strong foundation for interoperable agent systems. Next, you’ll dive into deep agent reasoning and resilience patterns. You’ll explore reflexive and self-improving agents, output-correction feedback loops, fallback strategies, and self-healing recovery mechanisms. Through hands-on demonstrations, you’ll design agents capable of multi-step planning, hierarchical reasoning, and reliable execution across complex workflows. As you progress, you’ll focus on deployment and observability. You’ll learn to expose agents as APIs, track execution visibility, evaluate agent quality, and monitor performance using modern observability tools. You’ll also deploy end-to-end agent applications, combining reasoning pipelines, monitoring, and user-facing interfaces into complete production systems. By the end of the program, you will be able to: - Explain MCP architecture and how it enables reliable, multi-agent communication. - Build MCP servers with structured tools and URI-based resource access. - Design agents that reason reflexively, recover from failures, and execute multi-step tasks. - Implement fallback logic, error recovery, and self-healing agent workflows. - Deploy production-grade agent APIs with execution visibility and observability. - Evaluate, monitor, and scale agent systems for real-world applications. This program is ideal for AI engineers, developers, and technical professionals who want to move beyond prompt-based systems and build robust agentic AI architectures. Prior experience with Python programming and basic AI concepts will help you get the most out of the course. Learners need a reliable internet connection, a modern web browser, and access to Python development tools. The course uses MCP-based agent tooling and modern AI frameworks, without requiring specialized hardware. Join this program to learn how to design, deploy, and operate intelligent, resilient, and production-ready agent systems powered by MCP.
University at Buffalo
Digital Manufacturing & Design
This course will expose you to the transformation taking place, throughout the world, in the way that products are being designed and manufactured. The transformation is happening through digital manufacturing and design (DM&D) – a shift from paper-based processes to digital processes in the manufacturing industry. By the end of this course, you’ll understand what DMD is and how it is impacting careers, practices and processes in companies both large and small. You will gain an understanding of and appreciation for the role that technology is playing in this transition. The technology we use every day – whether it is communicating with friends and family, purchasing products or streaming entertainment – can benefit design and manufacturing, making companies and workers more competitive, agile and productive. Discover how this new approach to making products makes companies more responsive, and employees more involved and engaged, as new career paths in advanced manufacturing evolve. Main concepts of this course will be delivered through lectures, readings, discussions and various videos. This is the first course in the Digital Manufacturing & Design Technology specialization that explores the many facets of manufacturing’s “Fourth Revolution,” aka Industry 4.0, and features a culminating project involving creation of a roadmap to achieve a self-established DMD-related professional goal. To learn more about the Digital Manufacturing and Design Technology specialization, please watch the overview video by copying and pasting the following link into your web browser: https://youtu.be/wETK1O9c-CA
Edureka
Generative Engine Content Optimization
This course introduces the foundations and implementation strategies of Generative Engine Optimization (GEO)—a new framework for improving content visibility, credibility, and performance in the age of AI-driven search. You’ll explore how content interacts with generative engines, discover how E-E-A-T principles (Experience, Expertise, Authoritativeness, Trustworthiness) apply to AI ecosystems, and learn to optimize digital content for emerging generative platforms. Through guided lessons, live examples, and hands-on exercises, you’ll learn to design GEO-aligned content strategies, analyze optimization signals, and evaluate AI-generated outputs for quality and discoverability. The course provides a practical understanding of how to align human creativity with AI-generated content workflows, measure engagement metrics, and strengthen brand trust in the era of intelligent search and recommendation engines. By the end of this course, you will be able to: • Understand GEO fundamentals and their role in shaping AI-driven content discovery. • Apply E-E-A-T frameworks to create authoritative and trustworthy content. • Implement GEO strategies for optimizing visibility and engagement across AI-powered platforms. • Measure, evaluate, and iterate on content performance using GEO-specific metrics. This course is ideal for marketers, SEO specialists, content strategists, and AI professionals looking to future-proof their digital skills and adapt to the new landscape of AI-based content delivery. A basic understanding of content marketing, SEO, or AI tools will be helpful, but no prior GEO experience is required. Join us to explore how GEO transforms traditional SEO into a smarter, AI-driven approach—and learn how to create content that stands out across the generative web.
Microsoft
Creative Designing in Power BI
This course forms part of the Microsoft Power BI Analyst Professional Certificate. This Professional Certificate consists of a series of courses that offers a good starting point for a career in data analysis using Microsoft Power BI. In this course, you will learn how to creatively design dashboards, reports and charts that are easier for the audience to use. You will learn how to create cohesive business intelligence reports and dashboards, as well as what common problems to avoid. The insights that you will gain will help you to tell compelling stories using specialist chart visualizations and visual elements such as videos, streaming data and QR Codes. After completing this course, you'll be able to: ● Create compelling and cohesive reports and dashboards ● Recognize common problems in design in Power BI Reports and Dashboards ● Produce audience focused reports and dashboards ● Work in detail with specialist chart visualizations ● Use visualizations in reports ● Add elements such as videos, streaming data and QR codes to dashboards This is also a great way to prepare for the Microsoft PL-300 exam. By passing the PL-300 exam, you'll earn the Microsoft Power BI Data Analyst certification.
Coursera
Build and Evaluate Robust Financial Models
Financial modeling is how analysts turn assumptions into insight. In this intermediate-level course, you’ll learn to design, link, and evaluate dynamic discounted cash flow (DCF) models that respond instantly to changing inputs. You’ll start by building a fully connected model that calculates enterprise value from free cash flow, incorporating sensitivity tables for WACC, growth, and terminal value. Then, you’ll shift into the reviewer’s seat—auditing formulas, tracing precedents, and identifying risks that affect accuracy and credibility.Through concise videos, practical readings, and hands-on Excel work, you’ll develop the habits of a professional modeler: clean linking, consistent logic, and transparent design. By the end, you’ll be able to build and evaluate financial models that are flexible, auditable, and decision-ready—core skills for analysts, finance managers, and anyone who relies on models to guide business strategy.
Packt
Data Science Foundations: NumPy, Pandas & Visualization
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. Unlock the foundational skills needed to excel in data science by mastering Python and popular libraries like NumPy, Pandas, Matplotlib, and Seaborn. This course provides hands-on experience with Python basics, data manipulation, and visualization techniques, all essential for building a strong foundation in data science. Whether you're a beginner or looking to refine your skills, you will gain the confidence to perform advanced data handling and visualization tasks. The journey begins with an introduction to Python programming, covering essential concepts such as variables, conditionals, loops, and functions. Next, dive into data handling with NumPy, learning to manipulate arrays, perform mathematical operations, and reshape data efficiently. Explore Pandas for advanced data manipulation, including Series and DataFrames, and learn how to clean and transform data to make informed decisions. Finally, you will immerse yourself in data visualization, using Matplotlib and Seaborn to create compelling visual representations of data, from simple line graphs to complex heatmaps. By the end of the course, you'll have a robust understanding of Python's data science ecosystem, empowering you to tackle real-world problems with data. This course is ideal for beginners in data science or anyone looking to gain a practical understanding of Python for data analysis. No prior programming experience is required. If you're curious about the world of data and want to get started with Python, this course will be a valuable resource to kickstart your learning journey.
Edureka
Power BI Capstone Project
This course is designed for professionals who want to practice projects that follow industry standards. The course consists of two projects, one of which deals with designing databases in Snowflake and connecting them with Power BI for analysis, and the other focuses on managing inventory and forecasting trends, which assist in decision-making. By the end of this course, you will be able to: 1. Explain Snowflake cloud Data Platform 2. Demonstrate the use of the Snowflake platform to store and manage data 3. Apply Power BI Service features to elevate the quality of your Reports and implement Dashboards 4. Create Paginated Reports and Dashboards on Power BI Service, utilizing its prevalent features This long course is designed for Data Analyst, Data Administrator, and Business Analyst seeking to enhance their analytical and design skills. Prior experience with MS Excel and SQL is beneficial but not mandatory for this course. Join us on this journey to enhance your decision-making skills and elevate your analytical and design capabilities.
Packt
Python Basics and Core Concepts
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. Learn the fundamentals of Python, from setting up your environment to mastering key programming concepts such as variables, functions, data types, and object-oriented programming. By the end of the course, you will have a solid understanding of Python's core concepts, enabling you to start building programs with confidence. Through a structured series of lessons and hands-on practice, you will walk through Python's most important features, including data types like lists, tuples, dictionaries, and sets, and functions like print(), input(), and dir(). You'll also work with advanced topics like string manipulation, numeric types, and magic methods, while focusing on best practices in code formatting, PEP 8 guidelines, and using IDEs like PyCharm. This course is designed for learners at all levels, whether you are completely new to programming or looking to solidify your Python skills. With interactive tutorials, exercises, and real-world projects, you'll be prepared for further exploration into Python, from web development to data science.
Google Cloud
ベクトル検索とエンベディング
このコースでは、AI を活用した検索テクノロジー、ツール、アプリケーションについて学びます。ベクトル エンベディングを利用するセマンティック検索、セマンティック アプローチとキーワード アプローチを組み合わせたハイブリッド検索、グラウンディング対応 AI エージェントとして AI のハルシネーションを最小限に抑える検索拡張生成（RAG）をご紹介します。Vertex AI Vector Search を実践的な経験を積んで、インテリジェントな検索エンジンを構築しましょう。
Stanford University
RNA Biology with Eterna
Through videos and gameplay, this course provides a unique introduction to RNA biology, including its uses in medicine and bioengineering. Learn how RNA powers cell growth and development by designing your own RNAs using the popular citizen science game Eterna.
University of Michigan
Exploratory Data Analysis for the Public Sector with ggplot
Learn about the core pillars of the public sector and the core functions of public administration through statistical Exploratory Data Analysis (EDA). Learn analytical and technical skills using the R programming language to explore, visualize, and present data, with a focus on equity and the administrative functions of planning and reporting. Technical skills in this course will focus on the ggplot2 library of the tidyverse, and include developing bar, line, and scatter charts, generating trend lines, and understanding histograms, kernel density estimations, violin plots, and ridgeplots. These skills are enhanced with lessons on best practices for good information visualization design. Upon completing this course, you will understand the layered grammar of graphics and its implementation in ggplot2, all while exploring a diverse set of authentic public datasets. All coursework is completed in RStudio in Coursera without the need to install additional software. This is the second of four courses within the Data Analytics in the Public Sector with R Specialization. The series is ideal for current or early-career professionals working in the public sector looking to gain skills in analyzing public data effectively. It is also ideal for current data analytics professionals or students looking to enter the public sector.
Amazon Web Services
AWS Wickr Getting Started
With AWS Wickr, you can collaborate and send secure messages, voice and video calls, and files with end-to-end encryption. In this course, you will learn the benefits and technical concepts of Wickr. If you are new to the service, you will learn how to start with Wickr through a demonstration using the AWS Management Console. You will learn about the native architecture and how the built-in features can help you protect internal and external communication.
University of California, Santa Cruz
Tutoring and Teaching Math for Understanding
“Tutoring and teaching math for understanding” is an adaptation of Distinguished Professor Judit Moschkovich’s long-running course at UC Santa Cruz. The course provides: A research-based definition of conceptual understanding Examples of tasks that focus on conceptual understanding Tutoring/teaching principles to support learners’ conceptual understanding, and A summary of tutor/teacher questions that support conceptual understanding The course is intended for anyone interested in becoming a better math tutor or teacher. Upon completion, learners will be able to: Define conceptual understanding and procedural fluency. Identify math tasks that require conceptual understanding. Modify tasks that only require procedural fluency to require understanding. Recognize student responses that show understanding, and Identify research-based principles for tutoring or teaching math for understanding. Assess students’ conceptual understanding. Support students’ conceptual understanding through a variety of guiding questions. Use multiple representations (i.e., drawings for fractions, tables/graphs for proportional reasoning) to support students’ conceptual understanding.