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• Technology

  Beginner

  Copilot Best Practices, Ethics and Regulatory Implications

  Equip yourself with the knowledge and tools needed to responsibly leverage Microsoft Copilot while navigating the complex landscape of ethical considerations and regulatory compliance. You’lll gain a comprehensive understanding of key ethical concepts relevant to generative AI, such as transparency, human oversight, accountability, and fairness. The course will delve into real-world scenarios, evaluating the effectiveness of various Copilot prompts and configurations through the lens of ethics and regulation. After completing this course, you'll be able to: • Identify key ethical and regulatory concepts related to generative AI, such as transparency, human agency and oversight, accountability, technical robustness and safety, diversity, nondiscrimination and fairness, privacy and data governance, and social and environmental well-being. • Evaluate the effectiveness of various Copilot prompts and configurations, while considering ethical implications and regulatory compliance in different usage scenarios. • Develop a comprehensive framework for responsible Copilot use incorporating best practices, ethical considerations, and adherence to relevant regulations. Required Course Materials: A Copilot license is required to complete this course. If you don’t have a Microsoft 365 Personal or Family license, you can start a free 30-day trial using the link provided in the course.

  View details: Copilot Best Practices, Ethics and Regulatory Implications
• Technology

  Beginner

  BigQuery: Qwik Start - Command Line

  This is a self-paced lab that takes place in the Google Cloud console. This hands-on lab shows you how to query public tables and load sample data into BigQuery using the Command Line Interface. Watch the short videos Get Meaningful Insights with Google BigQuery and BigQuery: Qwik Start - Qwiklabs Preview.

  30 min

  View details: BigQuery: Qwik Start - Command Line
• Technology

  Intermediate

  Azure ML: Designing and Preparing Machine Learning Solutions

  Welcome to the Azure ML: Designing and Preparing Machine Learning Solutions This course is designed to provide a comprehensive foundation in data science and machine learning, equipping learners with essential knowledge of key ML principles, data management, and real-world applications. Participants will explore managing machine learning environments and data workflows in Azure, gaining hands-on expertise in Azure Data Factory, Synapse Analytics, and Azure ML SDK (v2) to streamline ML lifecycle operations. Additionally, the course covers designing end-to-end ML solutions and MLOps architectures, ensuring effective model deployment, monitoring, and retraining strategies using Apache Spark and scalable workflows. Learners will gain the ability to select optimal services and compute options, differentiate between real-time and batch model deployment, and organize Azure ML environments effectively. This course is divided into three modules, each containing structured lessons and video lectures to enhance understanding. Participants will engage with approximately 3:00–4:00 hours of video-based instruction, offering both theoretical insights and practical knowledge. To reinforce learning, graded and ungraded assignments are included within each module, allowing learners to assess their understanding and application of key concepts. Module 1: Get started with Microsoft Data Analytics Module 2: Prepare a machine learning solution Module 3: Design a Machine Learning Solution By the end of this course, you will be able to learn Understand the core concepts of data science, machine learning, and the role of a data scientist. Learn about different types of machine learning and their real-world applications. Explore key data aspects, common ML terminology, and statistical foundations essential for modeling. Gain insights into various machine learning models and how to select appropriate solutions. This Course is for Data Scientists, Data Analysts, ML Engineers, and ML Associates, those who were mainly working with the Microsoft Azure Cloud Platform

  1500 min

  View details: Azure ML: Designing and Preparing Machine Learning Solutions
• Technology

  Intermediate

  Develop a Movie Recommendation Engine

  This course empowers learners to design, develop, and evaluate movie recommendation systems using real-world data and Python programming. Tailored for data enthusiasts and aspiring machine learning developers, the course introduces the practical applications of recommender systems across modern digital platforms such as Netflix, Amazon, and YouTube. Beginning with foundational concepts, learners will set up their Python environment and build a simple recommender based on popularity metrics. As the course progresses, learners will transition to constructing a more nuanced content-based recommender, utilizing rich metadata such as genres, keywords, and cast to provide personalized recommendations. By completing this course, learners will gain hands-on experience in preprocessing data, engineering features, and applying core machine learning techniques for real-time decision-making. The instruction is aligned with Bloom’s Taxonomy, guiding learners to construct, analyze, and apply recommender models effectively.

  210 min

  View details: Develop a Movie Recommendation Engine
• Technology

  Intermediate

  Hello Node Kubernetes

  This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab, you turn your code into a replicated application running on Kubernetes. You create a Node.js app, create a Docker container from it, deploy it to Kubernetes Engine, and scale it up. Watch a short preview Hello Node Kubernetes, GCP Essentials.

  60 min

  View details: Hello Node Kubernetes
• Business

  All levels

  إدارة المواهب

  ستتعلّم في هذه الدورة التدريبية أفضل الممارسات لاختيار المواهب وتوظيفها وتأهيلها. ستتعرّف أيضًا على الأساليب الرئيسية لقياس الأداء وتقييم موظفيك. بالإضافة إلى ذلك، ستتعلم كيفية تنمية قدرات الموهوبين وتدريبهم بحيث يمكنهم إدراك إمكاناتهم الكاملة في العمل. بشكل إجمالي، ستكتسب فهمًا شاملاً للدورة الكاملة لإدارة المواهب وإنشاء قناة إمداد مواهب قوية لفريقك ومؤسستك. تعد إدارة المواهب وتنمية قدراتهم واحدةً من أهم ثلاث قضايا تشغل عقول الرؤساء التنفيذيين حول العالم. في الواقع، يشير الرؤساء التنفيذيون إلى إدارة وتنمية قدرات مواهبهم القيادية باعتبارها المسألة الأكثر أهمية لنجاح أعمالهم في المستقبل، ولكن مؤسساتهم أقل قدرةً على معالجتها بفعالية. ستزودك هذه الدورة التدريبية برؤى وأطر عمل وأدوات لإدارة وتنمية قدرات المواهب في فرقك ومؤسساتك بفعالية.

  View details: إدارة المواهب
• Business

  Beginner

  Create a Google Ads Search Campaign

  In this 2-hour long project-based course, you will learn how to create a google ads search campaign with the strategic foundations of campaign creation, design ad group structure and keyword with relevant targeting options, design compelling ads. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

  120 min

  View details: Create a Google Ads Search Campaign
• Technology

  All levels

  Processamento Digital de Sinais - Amostragem

  Nesse curso, você irá entender um ingrediente fundamental da revolução digital: a amostragem, que permite que sinais como músicas e imagens sejam armazenados e processados em dispositivos digitais.

  View details: Processamento Digital de Sinais - Amostragem
• Technology

  Beginner

  HTML: How to Build a Website

  In this course, you will learn how to design and build a simple multi-page website using HTML. Through interactive, guided lab activities on Coursera, you will create web pages with clear structure and navigation, using headings, text, images and links to organise content effectively. You will explore how HTML and other markup languages shape the structure and meaning of web content, and why semantic markup is essential for accessibility and good web design. Using browser developer tools, you will examine the Document Object Model (DOM) and see how changes to HTML affect what appears in the browser. The course also introduces advanced HTML features such as forms, tables, embedded media and metadata. By applying these in hands-on labs, you will develop practical skills for creating accessible, usable and standards-compliant websites. By the end of this course you will be able to: 1. Design and implement multi-page, accessible websites using semantic HTML and forms, tables, and media. 2. Explain the evolution of markup languages and the role of hypertext in web architecture.

  600 min

  View details: HTML: How to Build a Website
• Business

  Beginner

  AI Applications in Accounting and Finance

  In this course, you will learn: How to work with unstructured financial data like earnings call transcripts, press releases, and ESG disclosures. How to apply machine learning and AI tools to real-world financial documents, images, and social media signals. How to evaluate and use emerging technologies with minimal coding requirements—no tech background needed. Detailed description: Designed for accounting and finance students and professionals, this course removes the common barriers to learning AI by integrating practical, job-relevant applications directly into the business context you already understand. Using real business data and use cases, you will learn how AI is used in accounting to solve accounting problems and complete accounting tasks. Each module includes engaging video lessons, guided exercises, and accessible tutorials that help you grasp key concepts. By the end, you will not only understand how AI works in finance, you will be able to use it confidently. Whether you are preparing for a career in corporate finance, accounting, consulting, or fintech, this course will give you a competitive edge.

  990 min

  View details: AI Applications in Accounting and Finance
• Technology

  Intermediate

  Networking in Google Cloud: Defining and Implementing Networks en Français

  Ce cours d'auto-formation présente dans le détail les options de mise en réseau disponibles sur Google Cloud. À travers des présentations, des démonstrations et des ateliers pratiques, les participants découvrent et déploient des technologies de mise en réseau de Google Cloud, telles que les réseaux, sous-réseaux et pare-feu de VPC (cloud privé virtuel) Google Cloud. Le cours aborde également le contrôle des accès aux réseaux, le partage de réseaux et l'équilibrage de charge.

  540 min

  View details: Networking in Google Cloud: Defining and Implementing Networks en Français
• Technology

  Intermediate

  Bayesian Inference Fundamentals

  Master Bayesian inference and unlock powerful probabilistic reasoning for data-driven decision-making. This course builds your foundation in Bayesian analysis, from viewing probability as degrees of belief to implementing advanced MCMC methods. Learn to apply Bayes’ theorem to real-world problems, use conjugate priors for efficient computation, and derive credible intervals that fully capture parameter uncertainty. Through hands-on practice, you’ll move from analytical solutions to computational techniques like Metropolis-Hastings, Gibbs sampling and Variational Inference, essential for modern Bayesian workflows. You’ll gain skill in interpreting posterior distributions, contrasting Bayesian and frequentist perspectives, and applying convergence diagnostics for reliable results. Whether in finance, healthcare, or business, you’ll acquire the statistical framework and computational tools to make principled inferences under uncertainty and effectively communicate probabilistic insights.

  View details: Bayesian Inference Fundamentals