The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Fundação Instituto de Administração
O Mundo dos Negócios das Subscrições
Nossas boas-vindas ao Curso O Mundo dos Negócios das Subscrições. Neste curso, você aprenderá que vivemos em um momento crucial na história dos negócios, no qual o mundo se move de produtos para serviços. No tradicional modelo de negócios, a empresa, através de múltiplos canais, vende seu produto ao cliente e pronto: deve-se entregar o produto o mais rápido possível e passar para o próximo contrato. No novo modelo de negócios, a solução é entregue aos profissionais através de uma assinatura, entregando ao cliente não apenas o produto, mas também uma experiência, gerando assim uma recorrência e previsibilidade de despesas e receitas, para alcançar seus objetivos de negócio. Ao final deste curso, você será capaz de identificar modelos de negócio disponíveis no mercado para poder maximizar o valor para sua companhia. Este curso é composto por quatro módulos, disponibilizados em semanas de aprendizagem. Cada módulo é composto por vídeos, leituras e testes de verificação de aprendizagem. Ao final de cada módulo, temos uma avaliação de verificação dos conhecimentos. Estamos muito felizes com sua presença neste curso e esperamos que você tire o máximo de proveito dos conceitos aqui apresentados. Bons estudos!
Coursera
Salesforce CLM & CPQ: Streamlining Contract Operations
In today’s competitive business landscape, mastering Salesforce CLM (Contract Lifecycle Management) and CPQ (Configure, Price, Quote) is a game-changer. This course provides the essential knowledge and skills to optimize contract operations and pricing strategies using Salesforce’s robust capabilities. Through hands-on training, you’ll learn how to configure Salesforce for CLM and CPQ, enabling your team to streamline the entire contract lifecycle—from creation and negotiation to execution. Gain expertise in designing efficient pricing workflows and automating approval processes to ensure compliance and accuracy at every stage. Harness the power of Salesforce reporting and analytics to uncover actionable insights that support smarter business decisions. Additionally, explore proven methods for integrating Salesforce with ERP, CRM, and other systems to create a unified data management approach. This course is designed for professionals who actively work with Salesforce and are seeking to enhance their skills in contract and pricing automation. Ideal participants include Salesforce Administrators, who manage and configure Salesforce environments; Salesforce Consultants, who advise on system optimization; Business Analysts, who assess operational workflows and support solution design; and CRM users who interact with Salesforce tools to manage customer and business data. Participants should have a solid understanding of Salesforce fundamentals, including how to navigate the platform and work with standard objects such as Accounts, Contacts, and Opportunities. Familiarity with Salesforce terminology and interface is essential. Additionally, learners should possess a basic working knowledge of Salesforce automation tools like Process Builder, Flow, and Workflow Rules, as these will be leveraged to implement CLM and CPQ functionalities. By the end of this course, learners will be able to apply the fundamental principles of contract management within Salesforce, understand the key features and capabilities of CLM and CPQ, implement automation through approval processes to streamline contract and pricing workflows, and apply best practices for integrating CLM and CPQ with other systems to ensure seamless data flow and operational efficiency. They will also develop the confidence to tailor Salesforce configurations to meet specific organizational needs and drive impactful business outcomes.
Amazon Web Services
Amazon Kinesis Video Streams - Getting Started
With Amazon Kinesis Video Streams, you can build media streaming applications for Internet of Things (IoT) video devices and real-time computer vision machine learning (ML) applications. In this course, you will learn the benefits and technical concepts of Kinesis Video Streams. If you are new to the service, you will learn how to start using Kinesis Video Streams through a demonstration using the AWS Management Console. You will learn about the native architecture and how the built-in features can help you simplify image extraction through APIs or automated image extraction from metadata tags in ingested video.
Board Infinity
Generative AI in Software Development
The course provides a comprehensive exploration of how generative AI is reshaping software development by accelerating coding, improving debugging, and enhancing automation. It is designed for aspiring software engineers, developers, and professionals who want to integrate AI into modern development workflows to build efficient, scalable, and error-free applications. You will explore the role of large language models (LLMs) like GPT, Gemini, and LLaMA in coding tasks, software testing, and project automation. The course begins with foundational AI concepts—machine learning, deep learning, and generative models—before diving into practical applications of code generation, prompt engineering, and debugging. Hands-on labs and exercises guide you through AI-powered developer tools such as GitHub Copilot, ChatGPT, and CodeWhisperer. You will also examine advanced AI topics including embeddings, retrieval-augmented generation (RAG), and fine-tuning to customize AI models for specific development needs. Ethical considerations, human-AI collaboration, and the future of AI in engineering are also covered. By the end of this course, you will be able to: - Apply generative AI to accelerate coding, debugging, and software testing. - Use AI-powered tools like Copilot, ChatGPT, and CodeWhisperer to improve productivity. - Implement advanced AI methods such as embeddings, RAG, and fine-tuning. - Evaluate ethical, collaborative, and practical challenges of AI in software engineering. Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.
Dassault Systèmes
Practice CATIA Assembly Design
In this course, you will learn how to create and manage assemblies and sub-assemblies in the design context. You will manage the positioning of parts and analyze assemblies. You will also learn how to modify the design in the assembly context.
Simplilearn
Ethics in GenAI for Software Engineering Training
This beginner-friendly course explores the ethical and legal foundations of using Generative AI in software engineering. Learn key ethical frameworks, understand common types of bias in AI-generated code, and explore their real-world impact on development. Delve into legal considerations like data privacy, transparency, explainability, and compliance. Through real case studies including racial bias in facial recognition and data breaches discover strategies to build fair, responsible, and legally compliant AI systems. No prior AI ethics or legal knowledge is required. A basic understanding of software development is recommended. By the end of this course, you will be able to: - Explain core ethical frameworks guiding Generative AI development - Identify and mitigate bias in AI-generated software code - Understand legal risks around AI, including data privacy and licensing - Apply best practices to ensure transparency and regulatory compliance - Learn from real-world case studies to design trustworthy AI systems Ideal for software engineers, developers, and AI practitioners seeking to build ethical, bias-aware, and legally compliant GenAI applications.
AI CERTs
AI in Real Estate
AI in Real Estate course equips professionals with the knowledge and skills to harness AI for smarter property decisions and operational efficiency. This course explores AI technologies transforming the real estate landscape, from automated valuation models and predictive market analytics to smart home systems and targeted marketing strategies. You’ll learn how to leverage AI for investment insights, risk management, fraud detection, and optimizing property operations, gaining a competitive edge in a rapidly evolving market. Through hands-on projects and interactive labs, you’ll apply AI techniques to real-world scenarios—automating pricing, forecasting trends, and improving tenant satisfaction. The program also covers ethical and regulatory considerations, ensuring your AI applications are both effective and responsible. By the end of the course, you’ll have a practical understanding of AI tools such as TensorFlow, Keras, Python, etc., enabling you to implement AI-driven solutions in property valuation, marketing, and business strategy. Your learning journey concludes with the demonstrating your readiness to drive innovation and efficiency in AI-powered real estate roles.
Google Cloud
Gemini in Gmail - 繁體中文
Gemini 版 Google Workspace 是一項外掛程式，可讓客戶在 Google Workspace 使用生成式 AI 功能。這堂迷你課程會介紹 Gemini 的主要功能，並說明如何在 Gmail 善用這些功能，提高生產力和效率。
Coursera
Analyze & Optimize Your AI Visibility KPIs
Learn how to measure what truly matters in generative search. In this course, you’ll track impressions, citations, and conversions from GA4, Google Search Console, and SGE in one Power BI dashboard. You’ll master variance analysis to explain shifts, recommend corrective actions, and automate weekly reporting. By the end, you’ll lead confident, data-driven conversations that connect AI visibility to measurable business growth.
Macquarie University
Innovation and emerging technology: Be disruptive
‘Disruption’ has become a buzz word in the business world. But what is a disruptive change-maker? In this course you will learn how to deploy disruptive strategic thinking to develop or protect your organisation’s competitive advantage. The most innovative and successful companies have all fundamentally disrupted and reshaped existing industries, or created completely new ones. But which strategies and technologies can you use to be disruptive and take the next step for your organisation? Via structured learning activities (video lectures, quizzes, discussion prompts and written assessments) you will enhance your ability to think strategically and become your organisation’s disruptive change-maker.
University of Michigan
Data Science Ethics
What are the ethical considerations regarding the privacy and control of consumer information and big data, especially in the aftermath of recent large-scale data breaches? This course provides a framework to analyze these concerns as you examine the ethical and privacy implications of collecting and managing big data. Explore the broader impact of the data science field on modern society and the principles of fairness, accountability and transparency as you gain a deeper understanding of the importance of a shared set of ethical values. You will examine the need for voluntary disclosure when leveraging metadata to inform basic algorithms and/or complex artificial intelligence systems while also learning best practices for responsible data management, understanding the significance of the Fair Information Practices Principles Act and the laws concerning the "right to be forgotten." This course will help you answer questions such as who owns data, how do we value privacy, how to receive informed consent and what it means to be fair. Data scientists and anyone beginning to use or expand their use of data will benefit from this course. No particular previous knowledge needed.
Packt
CQRS, API Development, and Module Communication
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 covers the implementation of CQRS (Command Query Responsibility Segregation) patterns and API development using MediatR for modular communication in .NET-based applications. You’ll learn how to structure applications using CQRS, focusing on the separation of read and write operations, and explore the integration of MediatR for handling commands and queries. With real-world examples, you will see how these patterns improve scalability and modularity in your applications. The journey begins with an introduction to CQRS and its role in managing complex systems by segregating commands and queries. You will learn how to implement CQRS logically and physically in your applications, utilizing MediatR to manage requests effectively. The course continues by exploring the development of catalog and basket modules, applying CQRS principles in real use cases, and handling domain events with MediatR’s INotificationHandler interface. As you progress, you will build REST APIs for catalog and basket modules using minimal APIs, Carter, and the REPR design pattern. You will also dive into handling cross-cutting concerns like validation, logging, and error handling, integrating them into your MediatR pipeline. Additionally, the course addresses caching strategies with Redis, providing a hands-on approach to optimizing performance in distributed systems. This course is designed for developers interested in building scalable, maintainable systems using modular monoliths with CQRS, MediatR, and minimal APIs. It is ideal for those looking to enhance their understanding of modular architecture and API development using .NET 8.
Google
Les bits et les octets des réseaux informatiques
Ce cours est conçu pour fournir un aperçu complet des réseaux informatiques. Nous couvrirons tout, des principes fondamentaux des technologies et protocoles de réseau modernes à une vue d’ensemble du cloud en passant par les applications pratiques et le dépannage réseau. À l’issue de ce cours, vous serez en mesure : ● décrire les réseaux informatiques en termes de modèle à cinq couches ● comprendre tous les protocoles standard utilisés dans les communications TCP/IP ● maîtriser de puissants outils et techniques de dépannage réseau ● apprendre les services réseau tels que DNS et DHCP qui contribuent au fonctionnement des réseaux informatiques ● comprendre l’informatique en nuage (cloud computing), le tout en tant que service, ainsi que le stockage en cloud
The University of Edinburgh
Know Thyself - The Value and Limits of Self-Knowledge: The Unconscious
A challenging but fascinating topic on the way to achieving self-knowledge is the unconscious. For well over a century, psychologists, philosophers, and many others have posited a level of mentality that is not immediately open to introspection; some would even say that certain unconscious elements cannot be known through introspection. This course will examine some of the most influential ideas about the unconscious starting with the work of Sigmund Freud, and follow the development of theories of the unconscious all the way to present research in experimental psychology. But be warned: some of the things you may learn about your unconscious mind may be surprising, and possibly even disturbing! --- This course was created by a partnership between The University of Edinburgh and Humility & Conviction and Public Life Project, an engaged research project based at the University of Connecticut and funded by a generous grant from the John Templeton Foundation. 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.
University of Illinois Urbana-Champaign
Business Strategy
In this course you will learn how organizations create, capture, and maintain value. In doing so, you’ll develop an understanding of how and why this process is fundamental for sustainable competitive advantage. You will be able to better understand value creation, and capture and learn the tools to analyze both competition and cooperation from a variety of perspectives, including the industry-level (e.g., five forces analysis) and the firm-level (e.g., business models and strategic positioning). You will be able to: - Understand how managers coordinate different functional areas, resources, and systems inside a company and align them with the external environment to enhance overall performance - Recognize strategic management tools and frameworks and apply them to real business contexts - Process diverse business and industry information to diagnose strategic issues, evaluate strategic alternatives, and formulate a coherent and actionable strategic plan This course is part of Gies College of Business’ suite of online programs, including the iMBA and iMSM. Learn more about admission into these programs and explore how your Coursera work can be leveraged if accepted into a degree program at https://degrees.giesbusiness.illinois.edu/idegrees/.
Packt
The Ultimate Hands-On Hadoop
Updated in May 2025. This course now features Coursera Coach — your interactive learning companion that helps you test your knowledge, challenge assumptions, and deepen your understanding as you progress. Build a strong, hands-on foundation in Hadoop and big data processing with this comprehensive course designed for data engineers, developers, and IT professionals. From installation to advanced analytics, you’ll learn how to work confidently with Hadoop’s ecosystem and design scalable solutions for real-world data challenges. You’ll begin by installing the Hortonworks Data Platform (HDP) Sandbox on your local machine, giving you an isolated environment to explore Hadoop’s core components. Through guided exercises, you’ll work with the Hadoop Distributed File System (HDFS) and build your understanding of MapReduce, learning how large-scale distributed processing works behind the scenes. As you progress, you’ll move into advanced Hadoop programming with Pig, Hive, and Spark. You’ll write complex queries, analyze large datasets, and work with real-world data to build scalable data workflows. You’ll also explore machine learning with Spark MLLib, giving you a practical introduction to distributed ML techniques. In the final modules, you’ll learn how to manage and optimize Hadoop clusters using YARN, ZooKeeper, Oozie, and Kafka. You’ll practice feeding data into your cluster, orchestrating workflows, managing resources, and analyzing streaming data in real time — essential skills for production-grade environments. By the end of this course, you will have: - Installed and configured the Hortonworks Sandbox for Hadoop development. - Worked with HDFS, MapReduce, and Hadoop’s core data processing concepts. - Written queries and pipelines using Pig, Hive, and Spark. - Performed distributed machine learning with Spark MLLib. - Integrated relational and non-relational data sources with Hadoop. - Managed clusters and streaming workflows with YARN, ZooKeeper, Oozie, and Kafka. - Gained the confidence to design and implement Hadoop-based data solutions. This course is ideal for data engineers, developers, and IT professionals with basic programming or data management experience. Familiarity with Java, SQL, or the Linux command line is helpful but not required.