The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Amazon Web Services
DevOps and AI on AWS: Upgrading Apps with Generative AI
Explore the intersection of DevOps and Generative AI on AWS in this hands-on course. Learn to enhance existing applications with powerful AI features using Amazon Bedrock's large language models (LLMs). You'll gain practical experience in implementing customized text generation, mastering prompt engineering, and applying advanced techniques like fine-tuning and Retrieval Augmented Generation (RAG). We focus on essential DevOps practices, guiding you through the process of coding, building, and testing an application upgraded with generative AI capabilities. You'll learn to integrate these AI features seamlessly into your software development lifecycle, ensuring smooth deployment and maintenance. The course also sharpens crucial developer skills. We highlight how to enable effective source control management, enabling efficient collaboration and version control in your projects. Additionally, you'll master unit testing to ensure the reliability of your applications.By the end of this course, you'll be equipped to modernize applications using generative AI, implement proven DevOps practices, and leverage AWS' AI services. Whether you're a developer expanding your AI expertise or a DevOps professional incorporating AI technologies, this course provides the tools to excel in the evolving landscape of software development and artificial intelligence. Join us to transform your applications and development practices with the power of generative AI on AWS.
Institut Mines-Télécom
Data intelligence for businesses and managers
With the proliferation of connected objects (computers, tablets, watches, etc.), huge masses of data are generated every second. This Big Data has led to the emergence of a data economy, where data is the main source of competitive advantage for companies. In this sense, data and its processing tools have become a strategic priority for companies, and the main gas pedal of their digital transformation. ----------------------------------------------------------------------------------------------------------------------------------------- This MOOC addresses the role of data in the digital transformation of organizations through 10 course sequences spread over 5 weeks and a wide variety of content: - Slideshows and video-scribes explaining the impact of data on businesses, the digital transformation needed to capitalize on data, and the tools, methods and technologies needed to implement these data-driven strategies. - Videos featuring testimonials from professionals and academics, highlighting through concrete examples the importance of data as a catalyst for digital transformation and a source of competitive advantage. - Compulsory reading to complement the topics covered in the slides and video, in particular the challenges and benefits of data management as part of digital transformation. - MCQs covering the entire content of each chapter. A certificate is awarded for any grade above 50%. This MOOC has received financial support from the Patrick & Lina Drahi Foundation.
LearnKartS
Email Marketing: Automate, Convert & Scale Revenue
When every inbox is overflowing, only smart, strategic emails stand out — and sell. This Email Marketing Course gives you the complete roadmap to craft, automate, and optimize emails that not only get opened — but get results. Discover how to create the perfect lead magnet, build a responsive subscriber list, and have landing pages that convert. With MailerLite, you can optimize list segmentation, automate workflows, and view campaign stats to understand what drives performance. Learn from practical tactics such as A/B testing, personalization, and mobile optimization to increase engagement, conversion rates, and customer loyalty. If you are an entrepreneur scaling your business, a freelancer developing brand authority, or a marketer driving measurable ROI, this is the course that turns emails into profit-generating weapons. You’ll leave with the tactics and tools that the leading brands use to own the inbox and convert subscribers into lifelong customers. Enroll today and master the art of persuasive email marketing — where every message moves your audience and multiplies your growth.
Emory University
Introduction to Management Consulting
Management consultants are paid well because they help executives to break down complex problems, make difficult decisions, and implement lasting change. Consultants know how to work smart and fast. Companies like McKinsey, Bain, BCG, Deloitte, EY, PWC, KPMG, and Accenture have trained thousands of consultants on useful skills, tools, methodologies. Taught by an ex-consultant from Deloitte, John Kim will give you a quick introduction to management consulting: • What do management consultants do? • What are the benefits of a consulting career? • How can you learn these consulting skills? • Why do clients hire management consultants? • What is an example of a consulting skill? This is the first course in the specialization on management consulting.
Board Infinity
Advanced Power Platform: Connectors, Components & Automation
Take your Power Platform development skills to the next level with this advanced, hands-on course. Build enterprise-ready canvas and model-driven apps, design powerful workflows using Power Automate, and create secure, scalable business solutions with Microsoft Dataverse and custom APIs. You’ll begin by exploring advanced Power Apps features—working with Power Fx, variables, multi-screen navigation, and connecting to data sources like Dataverse, SharePoint, and Excel. You'll also build both canvas and model-driven apps, implement business rules, and manage app security using roles and field-level access. Next, you’ll automate business processes using Power Automate. Design dynamic workflows with conditions, expressions, error handling, and performance optimization. Real-world scenarios include approval flows, email triggers, notifications, and integrations with SharePoint and Outlook. In the final module, you'll apply custom business logic using Power Fx, JavaScript, and plug-ins. Build client scripts, register them in model-driven forms, and write secure plug-ins and APIs in C#. By the end of this course, you will be able to: - Develop advanced apps using Power Apps and Dataverse - Automate processes using Power Automate with real-world connectors - Implement secure business logic with Power Fx, JavaScript, and plug-ins - Build scalable and production-ready components with best practices Disclaimer: This course is an independent educational resource developed by Board Infinity and is not affiliated with, endorsed by, sponsored by, or officially associated with Microsoft corporation or any of its subsidiaries or affiliates. This course is not an official preparation material of Microsoft corporation. All trademarks, service marks, and company names mentioned are the property of their respective owners and are used for identification purposes only.
Adobe
Build and Market Your Creative Business Using Adobe Tools
Growing a creative business takes clarity, structure, and the confidence to share your work with the world. In this course, you’ll turn your creative purpose into sustainable momentum. You’ll learn how to organize your operations, plan projects with intention, and present your ideas in ways that feel authentic and professional. Using Adobe Acrobat, you’ll build simple systems that keep your business running smoothly. With Firefly, you’ll generate visuals that scale your ideas, and with Adobe Express, you’ll design marketing that brings your story to life. Along the way, you’ll explore how to promote your work effectively and protect your creative rights as you grow. By the end, you’ll have a clear business plan, a launch-ready campaign, and a polished pitch you can use for clients or collaborators. This course brings creativity and entrepreneurship together—so you can build a business that thrives on integrity, imagination, and momentum.
Tecnológico de Monterrey
Evaluación del Aprendizaje en Escenarios Clínicos
En el siguiente curso aprenderás cómo se desarrolla la enseñanza en diversos escenarios clínicos, desde el punto de vista del alumno y del docente. Comenzando primeramente con una visión general de la enseñanza médica tradicional y cómo ha ido evolucionando a través del tiempo, tomando en cuenta los factores que se evalúan. De este modo, podrás analizar qué elementos son importantes a considerar en la evaluación de los aprendizajes que vayas adquiriendo durante tu carrera médica (en caso de que seas estudiante) o, si eres docente, qué debes de evaluar y porqué. Este curso fue un consorcio del Tecnológico de Monterrey, Universidad Nacional Autónoma de México y Universidad Autónoma de Yucatán, financiado por el programa de subsidios de América Latina de la National Board of Medical Examiners.
Coursera
Test Driven Development in Java for Beginners
By the end of this course, you will understand the test-driven development process in Java at a beginner's level.
Pohang University of Science and Technology(POSTECH)
Programming with Cloud IoT Platforms
Internet of Things (IoT) is an emerging area of information and communications technology (ICT) involving many disciplines of computer science and engineering including sensors/actuators, communications networking, server platforms, data analytics and smart applications. IoT is considered to be an essential part of the 4th Industrial Revolution along with AI and Big Data. This course aims at introducing IoT Cloud platforms from Samsung, Microsoft, Amazon, IBM and Google and how they can be used in developing IoT applications. This course will be offered in English. Subtitles/captions in English and will be also provided. IoT (Internet of Things, 사물인터넷)는 최근 중요한 정보통신기술로 주목 받고 있으며 센서/ 제어기, 통신 네트워크, 서버 플랫폼, 데이터 분석, 스마트 앱 등의 컴퓨터공학 기술들이 융합된 기술입니다. IoT는 인공지능, 빅데이터와 함께, 4차산업혁명의 3대 핵심 기술 중 하나로 손꼽히고 있습니다. 글로벌 Cloud 서비스 제공자들이 IoT를 특별히 지원하기 위하여 개발한 IoT Cloud 플랫폼들을 소개합니다. 이것들을 활용하여 다양한 IoT 어플리케이션을 개발할 수 있습니다. 본 과목은 영어로 진행되며, 영문자막(일부 한글과 영문 모두)을 제공합니다.
Packt
Data Visualization in Stata
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. Data visualization is a crucial skill in the realm of data analysis, and this course is designed to elevate your proficiency with Stata, a powerful statistical software. Beginning with an introduction to continuous and discrete data, the course progresses through a series of detailed modules, each focusing on specific types of plots. You’ll explore the nuances of creating and interpreting histograms, density plots, and scatter plots, among others, while understanding how each visualization technique can be leveraged to convey data insights effectively. The course places a strong emphasis on practical application, guiding you step-by-step through the process of creating these plots using Stata. You'll learn not only how to generate these visualizations but also how to interpret them, providing a solid foundation for data-driven decision-making. Each section is designed to build on the previous one, ensuring a cohesive learning experience that enhances your ability to present data in a clear, concise, and visually appealing manner. By the end of this course, you will be equipped with a comprehensive toolkit of data visualization techniques. Whether dealing with single variables or complex datasets involving multiple variables, you’ll have the skills needed to create and customize plots that effectively communicate your analytical findings. This course is essential for anyone looking to advance their data analysis capabilities with Stata. This course is tailored for data analysts, researchers, and professionals in the fields of statistics and data science who want to enhance their data visualization skills using Stata. A basic understanding of Stata is recommended but not required.
Instituto Tecnológico de Aeronáutica
TDD – Desenvolvimento de Software Guiado por Testes
Neste curso, assumimos que você já sabe projetar e desenvolver programas mais complexos em Java, com método e organização graças às boas práticas e princípios exercitados no curso anterior; mas você talvez não se sinta ainda confortável em projetar programas usando técnicas ágeis, como o desenvolvimento guiado por testes (TDD). O objetivo deste curso é expor você aos princípios e práticas de desenvolvimento guiado por testes, tanto para modelar quanto para desenvolver aplicações e componentes de software, sem abandonar os conceitos e princípios de orientação a objetos aprendidos no curso anterior. De fato, pregamos que tais conceitos e princípios fortalecem o emprego do TDD no desenvolvimento ágil de software com mais qualidade. Este curso terá um grande foco em atividades hands-on, permitindo a você captar todos os aspectos práticos da técnica e facilitar a sua aplicação quando estiver projetando e desenvolvendo software de maneira ágil nos próximos cursos. Os conceitos de desenvolvimento de software com Java apresentados neste curso incluem o seguinte: revisão de testes de unidade; automação de testes; desenvolvimento guiado por testes; ciclo do TDD; refatoração de código de produção; ciclo de refatoração; uso de objetos stubs e mocks; boas práticas no TDD; modelagem de software por meio do TDD. Ao final deste curso, você terá amadurecido de tal modo suas habilidades de programação que será capaz de implementar, agora usando o TDD, versões modificadas e estendidas do componente de gamificação constante do Trabalho de Conclusão da Especialização, com base nas boas práticas exercitadas neste curso.
Coursera
Navigating Generative AI Risks for Leaders
This course delves into the various risks and concerns associated with Generative AI, including business model risks, inaccuracies in AI-generated content, data security, and privacy concerns. It emphasizes the importance of the CEO in understanding and addressing these risks. A significant part of this course is dedicated to exploring the ethical considerations for using GenAI. It highlights the importance of developing responsible AI principles and practices, guiding CEOs in creating ethical principles for Responsible AI tailored specifically to their own companies. The course also focuses on the critical issues of data security and privacy in the use of GenAI. It concludes by providing an overview of the legal and regulatory landscape for GenAI, offering guidance on how to navigate this landscape effectively and ensure legal and regulatory compliance in the use of GenAI.
Coursera
AppDynamics Monitoring
AppDynamics Monitoring for Machine Learning Applications is a beginner-level course designed to equip data scientists, ML engineers, and DevOps professionals with the specialized monitoring skills needed for production ML systems. Unlike traditional applications, machine learning systems have unique failure modes, complex data dependencies, and business-critical performance requirements that demand sophisticated observability approaches. This course provides hands-on experience with AppDynamics' AI-powered monitoring platform, teaching learners to implement comprehensive monitoring solutions that capture both technical performance and business outcomes. Through real-world case studies, practical exercises, and advanced troubleshooting scenarios, learners will master the art of maintaining reliable, high-performing ML applications that deliver consistent business value in production environments.
Coursera
Interpretable Machine Learning Applications: Part 1
In this 1-hour long project-based course, you will learn how to create interpretable machine learning applications on the example of two classification regression models, decision tree and random forestc classifiers. You will also learn how to explain such prediction models by extracting the most important features and their values, which mostly impact these prediction models. In this sense, the project will boost your career as Machine Learning (ML) developer and modeler in that you will be able to get a deeper insight into the behaviour of your ML model. The project will also benefit your career as a decision maker in an executive position, or consultant, interested in deploying trusted and accountable ML applications.
Google Cloud
Encoder-Decoder Architecture - Italiano
Questo corso ti offre un riepilogo dell'architettura encoder-decoder, che è un'architettura di machine learning potente e diffusa per attività da sequenza a sequenza come traduzione automatica, riassunto del testo e risposta alle domande. Apprenderai i componenti principali dell'architettura encoder-decoder e come addestrare e fornire questi modelli. Nella procedura dettagliata del lab corrispondente, implementerai in TensorFlow dall'inizio un semplice codice dell'architettura encoder-decoder per la generazione di poesie da zero.
Coursera
Deep Learning with PyTorch : GradCAM
Gradient-weighted Class Activation Mapping (Grad-CAM), uses the class-specific gradient information flowing into the final convolutional layer of a CNN to produce a coarse localization map of the important regions in the image. In this 2-hour long project-based course, you will implement GradCAM on simple classification dataset. You will write a custom dataset class for Image-Classification dataset. Thereafter, you will create custom CNN architecture. Moreover, you are going to create train function and evaluator function which will be helpful to write the training loop. After, saving the best model, you will write GradCAM function which return the heatmap of localization map of a given class. Lastly, you plot the heatmap which the given input image.