The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
AI CERTs
Customer Experience in Telecommunication
This final pathway of the AI for Telecommunications Specialization takes you beyond network intelligence—into the world of AI-powered customer engagement, IoT innovation, and responsible AI governance. You’ll explore how artificial intelligence enhances telecom customer experiences through chatbots, virtual assistants, and predictive service models. Dive into IoT-driven connectivity, learning how AI supports seamless device integration, QoS (Quality of Service) management, and real-time monitoring across complex networks. Through modules on AI-Integrated Network Operations Centers (NOCs), you’ll master automation, anomaly detection, and performance optimization at scale. The pathway concludes with a Capstone Project, where you’ll design and deploy an AI-driven solution for a real-world telecom challenge — integrating insights from all previous pathways. Tools like TensorFlow, PyTorch, and Matplotlib will support hands-on learning, while ethical AI frameworks help you ensure compliance, fairness, and transparency in every AI deployment.
Packt
Data Representation and Serialization
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 power of structured data in this hands-on course on data representation and serialization. You'll learn to confidently navigate a range of data formats like CSV, JSON, YAML, and XML, understanding when and how to use each one effectively. Whether you’re managing datasets or building data-driven applications, mastering these formats is essential for clean, efficient, and interoperable code. The course begins with CSV, diving into the basics before progressing to Python’s csv module and third-party tools like pandas and tablib. Next, you’ll explore JSON, comparing its structure to CSV, then manipulating JSON using Python's standard library and alternatives like simplejson and ujson. Each section provides hands-on experience to help reinforce the material. You’ll then move into YAML, exploring its relationship to JSON and learning to read and write YAML using the PyYAML package. Finally, you’ll tackle XML and HTML, using multiple Python tools including xml, lxml, xmltodict, and BeautifulSoup to parse, write, and analyze structured documents, along with important security considerations. This course is ideal for developers, data professionals, and students looking to build a strong foundation in working with structured data formats. Basic Python knowledge is recommended.
Airbus Beyond
Supply Chain Sustainability
Acquire the knowledge and skills necessary to lead sustainable and responsible supply chains with success. In this course, you’ll explore how to assess and reduce environmental and social impacts through Environmental Impact Assessments (EIA), sustainability planning, CSR strategies, and advanced monitoring techniques. Learn how to integrate sustainable practices into supply chain operations, from ethical sourcing to green logistics and circular economy principles. Through case studies, frameworks, and hands-on exercises, you'll gain practical tools to design, implement, and report on high-impact sustainability and CSR initiatives. By the end of this course, you will be able to: - Conduct Environmental Impact Assessments (EIA) and develop Environmental Management Plans (EMP) - Design and implement sustainability and CSR strategies aligned with business objectives - Apply sustainable sourcing, procurement, and green logistics principles - Use key frameworks (GRI, CDP, UN SDGs) to report on sustainability and CSR initiatives - Track and improve sustainability performance using KPIs and audits
American Psychological Association
Better Learning
Many people report engaging in study habits that are not very effective or very efficient. How do we know what strategies are best? Cognitive psychologists have been doing research to ask this very question for multiple decades. It turns out that many strategies that people report using are not the ones that cognitive psychology research shows to be the most effective or efficient for learning. In this course, you will learn how to apply research-based principles from cognitive psychology to become a more effective and efficient learner.
Coursera
Interpretable machine learning applications: Part 3
In this 50 minutes long project-based course, you will learn how to apply a specific explanation technique and algorithm for predictions (classifications) being made by inherently complex machine learning models such as artificial neural networks. The explanation technique and algorithm is based on the retrieval of similar cases with those individuals for which we wish to provide explanations. Since this explanation technique is model agnostic and treats the predictions model as a 'black-box', the guided project can be useful for decision makers within business environments, e.g., loan officers at a bank, and public organizations interested in using trusted machine learning applications for automating, or informing, decision making processes. The main learning objectives are as follows: Learning objective 1: You will be able to define, train and evaluate an artificial neural network (Sequential model) based classifier by using keras as API for TensorFlow. The pediction model will be trained and tested with the HELOC dataset for approved and rejected mortgage applications. Learning objective 2: You will be able to generate explanations based on similar profiles for a mortgage applicant predicted either as of "Good" or "Bad" risk performance. Learning objective 3: you will be able to generate contrastive explanations based on feature and pertinent negative values, i.e., what an applicant should change in order to turn a "rejected" application to an "approved" one.
Hebrew University of Jerusalem
Synapses, Neurons and Brains
These are very unique times for brain research. The aperitif for the course will thus highlight the present “brain-excitements” worldwide. You will then become intimately acquainted with the operational principles of neuronal “life-ware” (synapses, neurons and the networks that they form) and consequently, on how neurons behave as computational microchips and how they plastically and constantly change - a process that underlies learning and memory. Recent heroic attempts to realistically simulate large cortical networks in the computer will be highlighted (e.g., “the Blue Brain Project”) and processes related to perception, cognition and emotions in the brain will be discussed. For dessert we will deliberate on the future of brain research, including the questions of “brain and art”, consciousness and free will. For more information see the course promo below and read “About the course.”
Instituto Tecnológico de Aeronáutica
Desenvolvimento Ágil com Java Avançado
Neste curso, assumimos que você já sabe projetar e desenvolver programas mais complexos em Java, graças às boas práticas e princípios orientados a objetos e TDD exercitados nos cursos anteriores; mas você talvez não se sinta ainda confortável em projetar programas para Web e com dados armazenados em banco de dados, bem como em aplicar conceitos mais avançados de Java. O objetivo deste curso é enriquecer sua experiência com conceitos avançados de Java, programação de aplicações Web e acesso a banco de dados no contexto de modelagem ágil. Os conceitos apresentados neste curso no contexto da programação Java incluem o seguinte: APIs fundamentais do Java: tipos genéricos, reflexão e anotações; expressões lambda do Java 8; aplicação Web com Java: Java Servlets, páginas JSP, padrão MVC e teste de aplicação Web com Selenium; e acesso a banco de dados em Java: JDBC, desenvolvimento de aplicação empresarial e testes com DBUnit. Ao final deste curso, você terá amadurecido de tal modo suas habilidades de programação que será capaz de implementar de modo ágil uma versão inicial da aplicação Web em associação com o componente de gamificação constantes do Trabalho de Conclusão da Especialização, com base nas boas práticas exercitadas neste curso.
Coursera
Querying Databases Using SQL SELECT statement
In this 2-hour long project-based course, you will learn how to retrieve data from tables in a database using SQL SELECT statement. In addition, this project will expose you to how to use different SQL operators together with the WHERE clause to set conditions on tables in a database for database manipulation. In order to reinforce the use of SQL SELECT statement to query a database for database insights, you will work on different tasks as the concepts are being introduced to you. Note: You do not need to be a data administrator or data analyst to be successful in this guided project, just a familiarity with SQL is required. If you are not familiar with SQL and want to learn the basics, start with my previous guided project titled “Performing Data Definition and Manipulation in SQL”.
Google
Pelaksanaan Proyek: Menjalankan Proyek
Ini adalah materi keempat dalam program Google Project Management Certificate (Sertifikat Manajemen Proyek Google). Materi ini akan mempelajari fase-fase pelaksanaan dan penutupan dari siklus hidup proyek. Anda akan mempelajari aspek apa dari suatu proyek untuk dilacak dan bagaimana melacaknya. Anda juga akan belajar bagaimana mengelola dan mengomunikasikan perubahan, ketergantungan, dan risiko secara efektif. Saat Anda menjelajahi manajemen kualitas, Anda akan belajar bagaimana mengukur kepuasan pelanggan dan menerapkan perbaikan berkelanjutan dan teknik peningkatan proses. Selanjutnya, Anda akan memeriksa bagaimana memprioritaskan data, bagaimana menggunakan data untuk menginformasikan pengambilan keputusan Anda, dan bagaimana menyajikan data tersebut secara efektif. Kemudian, Anda akan memperkuat keterampilan kepemimpinan Anda saat Anda mempelajari tahapan pengembangan tim dan bagaimana mengelola dinamika tim. Setelah itu, Anda akan menemukan alat yang menyediakan komunikasi tim proyek yang efektif, cara mengatur dan memfasilitasi rapat, dan cara mengomunikasikan pembaruan status proyek secara efektif. Terakhir, Anda akan memeriksa langkah-langkah proses penutupan proyek dan cara membuat serta membagikan dokumentasi penutupan proyek. Para manajer proyek Google yang ada saat ini akan terus menginstruksikan dan memberi Anda pendekatan langsung untuk menyelesaikan tugas-tugas ini sambil menunjukkan kepada Anda alat bantu dan referensi manajemen proyek terbaik untuk pekerjaan yang ada. Peserta didik yang menyelesaikan program ini seharusnya telah mendapatkan bekal untuk melamar pekerjaan tingkat pemula sebagai manajer proyek. Tidak dibutuhkan pengalaman apa pun. Pada akhir materi ini, Anda akan mampu: - Mengidentifikasi aspek-aspek apa saja yang perlu dilacak dalam sebuah proyek dan membandingkan berbagai metode pelacakan. - Mendiskusikan cara mengelola dan mengomunikasikan perubahan, ketergantungan, dan risiko secara efektif. - Menjelaskan konsep-konsep utama manajemen kualitas yaitu standar kualitas, perencanaan kualitas, jaminan kualitas, dan pengendalian kualitas. - menjelaskan bagaimana menciptakan perbaikan dan peningkatan proses yang berkesinambungan dan bagaimana mengukur kepuasan pelanggan. - Menjelaskan tujuan dari retrospeksi dan menjelaskan bagaimana cara melakukannya. - Mendemonstrasikan cara memprioritaskan dan menganalisis data serta cara mengkomunikasikan cerita proyek yang berbasis data. - Mengidentifikasi alat bantu yang menyediakan komunikasi tim proyek yang efektif dan mengeksplorasi praktik terbaik untuk mengomunikasikan pembaruan status proyek. - Menjelaskan langkah-langkah proses penutupan untuk para pemangku kepentingan, tim proyek, dan manajer proyek.
Coursera
IT Ticket Management with Typeform
By the end of this project you will be able to use Typeform to create a dynamic form to manage employee IT ticket submissions. You will explore the different question templates and use free features to create a beautiful form that will streamline the helpdesk process. You will be able to use Typeform to create, personalize, and share your survey, as well as analyze results. Once you have completed the project you will have the skill base to create forms and surveys on your own for your business. You can view Typeform’s full security policy here: https://help.typeform.com/hc/en-us/articles/360029259552-Security-at-Typeform
Edureka
Deploy AI Agents with OpenAI
This course teaches you how to deploy fully functional, multi-agent AI systems using OpenAI’s latest tools and frameworks. You will learn how intelligent agents communicate, coordinate, and execute tasks together—then bring those capabilities into real-world applications through interactive interfaces and cloud deployment workflows. Through hands-on lessons and guided demos, you’ll design and implement multi-agent architectures, build conversational interfaces with Streamlit, integrate external APIs, and enable structured communication using the Model Context Protocol (MCP) and Agent-to-Agent (A2A) messaging. You will also learn to secure your deployments, manage environment variables, monitor system performance, and ensure scalable, reliable operation across users and workloads. By the end of this course, you will be able to: - Explain the structure and roles of multi-agent systems, including coordinator, planner, reasoning, retrieval, and action agents. - Design and implement multi-agent communication workflows using MCP contexts and A2A message passing. - Build and deploy an interactive user interface using Streamlit to enable real-time agent interaction. - Connect the agent backend to external tools and APIs, enabling real-world task execution and workflow automation. - Deploy your multi-agent assistant securely to the cloud, managing API keys, environment variables, and runtime configurations. - Monitor, optimize, and scale multi-agent performance using practical evaluation metrics and deployment best practices. This course is ideal for AI engineers, software developers, automation professionals, and technical leaders who want to build production-ready AI assistants, agentic applications, and enterprise-grade multi-agent systems. A basic understanding of Python, APIs, and foundational AI agent concepts is recommended. Join us to learn how to deploy intelligent multi-agent systems that are scalable, reliable, and ready for real-world use.
Google Cloud
運用 Gemini Code Assist 簡化應用程式開發作業
本課程適合各程度的開發人員，主要介紹 Gemini Code Assist 的核心功能與特色。這項 Google Cloud AI 輔助協作工具是應用程式開發的好幫手，提供程式碼智慧建議、自動補全、即時偵錯和重構輔助等實用功能。您將瞭解 Gemini Code Assist 如何大幅提升工作效率和程式碼品質，並助您省下寶貴時間，專心處理較具效益且更有趣的工作。
Packt
Getting Started with Unity and Building the Game Foundation
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. Embark on an exciting journey into game development with Unity. In this course, you’ll learn how to set up and use Unity to build your very own game foundation. Whether you're a beginner or looking to refine your skills, this course provides a comprehensive introduction to Unity’s core features, including pathfinding, physics, and game object management. You’ll also discover how to design interactive characters and develop immersive game environments that captivate players. Throughout the course, you’ll follow a step-by-step approach, starting with Unity installation and interface navigation. You'll then dive into fundamental concepts such as textures, physics, shaders, and 3D models. By creating your first-person character with controller mechanics, you’ll explore advanced features like animation transitions and sound effects integration, ensuring your game feels dynamic and realistic. The course is structured with clear, concise lessons on gameplay mechanics, including item pickups, inventory management, and ammo systems. In the later stages, you will design and refine your game’s environment, implementing elements like terrain sculpting, fog effects, and level layouts. This course is ideal for aspiring game developers, designers, or anyone interested in creating interactive 3D experiences. It is suited for beginners and doesn’t require prior programming or Unity experience. By the end of the course, you will be able to create a fully functional first-person game with interactive gameplay mechanics, dynamic character models, and a captivating game environment.
Packt
Excel 365 Advanced – Power Features and Automation
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. This advanced Excel 365 course equips you with essential tools to automate tasks and optimize your workflow. You will learn powerful formulas, dynamic arrays, advanced lookups, and automation tools like Macros and VBA. The course will introduce you to both foundational and cutting-edge Excel features, enabling you to manage data more efficiently while boosting productivity. The course is structured in modules, each diving deep into critical Excel features. Starting with six productivity-boosting formulas and Flash Fill, you'll quickly move into advanced topics like Dynamic Array Functions, Power Pivot, and Power Query. You'll discover new ways to analyze data with PivotTables, and then automate your tasks using Macros and VBA. In addition, you'll explore the integration of AI tools like Microsoft Copilot and ChatGPT to further enhance your workflow. This course is ideal for Excel users looking to level up their skills. Whether you're a professional analyst, a manager, or just looking to improve your Excel abilities, you'll find techniques that are directly applicable to real-world scenarios. The course is designed for those familiar with Excel and will take you from intermediate to expert-level proficiency. By the end of the course, you will be able to automate repetitive tasks, use advanced formulas for data analysis, manage large datasets with Power Pivot and Power Query, and leverage AI tools to work more efficiently with Excel.
Google Cloud
Model Armor: KI-Bereitstellungen absichern
In diesem Kurs werden die wichtigsten Sicherheitsfunktionen von Model Armor vorgestellt. Außerdem lernen Sie, wie Sie den Dienst nutzen können. Sie erfahren mehr über die Sicherheitsrisiken, die mit LLMs verbunden sind, und wie Model Armor Ihre KI-Anwendungen schützt.
University of Illinois Urbana-Champaign
Getting Started with CyberGIS
This course is intended to introduce students to CyberGIS—Geospatial Information Science and Systems (GIS)—based on advanced cyberinfrastructure as well as the state of the art in high-performance computing, big data, and cloud computing in the context of geospatial data science. Emphasis is placed on learning the cutting-edge advances of cyberGIS and its underlying geospatial data science principles.