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  • Technology
    Intermediate

    AWS Certified AI Practitioner (AIF-C01)

    AWS Certified AI Practitioner (AIF-C01) is your full exam resource for the all-new AWS certification exam AIF-C01. Experienced trainer and author Chad Smith covers all the exam's concepts and objectives, equipping you with the edge needed to study effectively and achieve success. The course includes discussions of different types of machine learning, artificial intelligence, and business use cases for each. Get insights on responsible AI, including developing ethical systems and explainable models. Learn about security, compliance, governance, and methods to secure AI solutions. Each major topic will end with two practice questions to test your knowledge.

    60 min
    View details: AWS Certified AI Practitioner (AIF-C01)
  • Business
    All levels

    Probability and Statistics for Decision Making

    Build a strong foundation in probability and statistics to analyze uncertainty, interpret data relationships, and support data-driven decision-making. Learn practical statistical concepts used in business, finance, analytics, and research. This course provides a structured introduction to probability and statistical analysis through clear explanations and practical examples. You’ll learn how probability helps quantify uncertainty, how random variables and probability distributions work, and how events interact through concepts such as mutually exclusive and independent events. As the course progresses, you’ll explore essential statistical measures including mean, variance, standard deviation, correlation, and covariance to better understand data behavior and relationships between variables. Practical examples such as dice probability, contingency tables, and distribution analysis help learners connect theory with real-world analytical thinking. You’ll also examine advanced concepts related to distribution shape, central moments, skewness, and estimation methods such as the Best Linear Unbiased Estimator (BLUE). These techniques form the foundation for statistical reasoning and quantitative analysis used in modern decision-making environments. What makes this course unique is its step-by-step approach that gradually builds confidence in probability and statistics while emphasizing practical interpretation rather than abstract theory. By the end of the course, you’ll be able to interpret uncertainty, analyze datasets, and apply statistical reasoning to support smarter analytical and business decisions.

    View details: Probability and Statistics for Decision Making
  • Business
    Intermediate

    Prepare for the Meta Marketing Science Certification Exam

    This course helps you prepare for the Meta Marketing Science Certification exam. You’ll be guided through scheduling and taking the exam through Meta Blueprint. You’ll get access to the study guide and other resources to help you prepare for the exam. This course is only accessible to learners who have successfully completed Course 1: Marketing Analytics Foundation, Course 2: Statistics for Marketing, Course 3: Data Analytics for Marketing and Course 4: Marketing Analytics with Meta in this program.

    300 min
    View details: Prepare for the Meta Marketing Science Certification Exam
  • Business
    Beginner

    Transformación digital

    La transformación digital es un tema de gran interés, pero ¿qué es exactamente y qué significa para las compañías? En este curso, desarrollado en la Darden School of Business en la Universidad de Virginia y dirigido por los mejores profesores de Darden y expertos en gestión global de Boston Consulting Group, hablamos de transformación digital de dos maneras. Primero discutimos el ritmo del cambio y el imperativo que crea para las empresas. Luego, brindamos el contexto para esta transformación y lo que se necesita para ganar en la era digital. A continuación, analizamos el marco patentado de BCG, que lo ayuda a identificar áreas clave para digitalizar, incluida la estrategia, los procesos centrales y la tecnología. Al final de este curso, podrá: --describir la economía subyacente de la innovación, la tecnología y las disrupciones del mercado --sopesar los pros y los contras de las tecnologías digitales actuales que impulsan el avance --utilizar el marco de transformación digital de BCG como una «guía práctica» para digitalizar su organización

    View details: Transformación digital
  • Business
    All levels

    Practical Revenue Accounting for Contracts

    Master revenue recognition and contract accounting with practical, real-world clarity and confidence. Learn how to apply a structured revenue recognition framework and handle complex accounting scenarios effectively. This course provides a practical approach to understanding revenue recognition principles in financial reporting. Starting with foundational concepts and the evolution of modern revenue accounting guidance, learners build a strong understanding before progressing to advanced applications. You will explore how to identify contracts, evaluate performance obligations, determine transaction consideration, allocate amounts to obligations, and recognize revenue appropriately. The course also covers advanced topics such as contract acquisition costs, intellectual property licensing arrangements, return rights, and repurchase agreements. Through real-world examples and case-based explanations, learners develop the ability to interpret and apply revenue accounting principles confidently. The course also highlights similarities and differences between major global reporting frameworks, helping build a broader perspective on financial reporting practices. By the end of this course, learners will be able to analyze complex revenue scenarios, improve reporting accuracy, and apply revenue recognition concepts confidently in professional accounting and finance environments.

    View details: Practical Revenue Accounting for Contracts
  • Technology
    Beginner

    Practical Python for AI Coding 2

    Introduction video : https://youtu.be/TRhwIHvehR0 This course is for a complete novice of Python coding, so no prior knowledge or experience in software coding is required. This course selects, introduces and explains Python syntaxes, functions and libraries that were frequently used in AI coding. In addition, this course introduces vital syntaxes, and functions often used in AI coding and explains the complementary relationship among NumPy, Pandas and TensorFlow, so this course is helpful for even seasoned python users. This course starts with building an AI coding environment without failures on learners’ desktop or notebook computers to enable them to start AI modeling and coding with Scikit-learn, TensorFlow and Keras upon completing this course. Because learners have an AI coding environment on their computers after taking this course, they can start AI coding and do not need to join or use the cloud-based services.

    View details: Practical Python for AI Coding 2
  • Technology
    Intermediate

    Automating Kubernetes with GitOps

    Automating Kubernetes with GitOps is designed to teach you the key concepts on how to automate infrastructure using Gitops. It introduces core topics of DevOps, pipelines and Git and shows how to build images from code in an automated way. You will build on your knowledge of automating infrastructure using Terraform and Ansible and proceed with how to use GitOps operators in a Kubernetes environment and build a custom operator. Finally, you will also learn how to use operators provided by ecosystems, such as Tekton and Argo CD. Best-selling author and trainer Sander van Vugt uses real-world scenarios and demos throughout so you can see in real time how to use GitOps efficiently and effectively to manage Cloud Native applications.

    360 min
    View details: Automating Kubernetes with GitOps
  • Business
    Beginner

    Capstone for AI-Enhanced Email Marketer

    In this capstone, you will plan, build, and evaluate a complete email marketing campaign from start to finish. Drawing on every skill developed across the program — from audience segmentation and copywriting to automation, analytics, and brand governance — you will produce a portfolio-ready campaign package that mirrors real employer expectations. This project demonstrates your readiness to manage professional email marketing campaigns independently, applying AI-enhanced tools, data-driven decision-making, and strategic brand thinking to deliver measurable results for a realistic business scenario.

    View details: Capstone for AI-Enhanced Email Marketer
  • Technology
    Beginner

    Communicating Data Insights with Tableau

    The Communicating Data Insights with Tableau Course focuses on reporting best practices using Tableau. You will learn how to create interactive dashboards and craft compelling presentations based on your data analysis. This course will also teach you best practices for data storytelling to convey business insights and provide stakeholders with the data to effectively explore and build their own insights. This course is for anyone who is curious about entry-level roles that demand fundamental Tableau skills, such as business intelligence analyst or data reporting analyst roles. It is recommended (but not required) that you have some experience with Tableau Public, but even if you're new to Tableau Public, you can still be successful in this program. By the end of the course, you will be able to: -Identify data storytelling best principles to convey business insights. -Build interactive dashboards and stories in Tableau Public. -Utilize data storytelling design principles to craft a compelling presentation so stakeholders can explore and disaggregate data to build their own insights.

    720 min
    View details: Communicating Data Insights with Tableau
  • Technology
    All levels

    Analyze Advanced Data Using Minitab Regression Models

    Learners will analyze complex datasets, interpret advanced regression outputs, evaluate predictive models, and apply decision tree techniques using Minitab to solve real-world business problems. This course provides in-depth, hands-on training in advanced statistical modeling using Minitab, moving beyond basic analytics to practical, decision-focused applications. Learners explore linear, logistic, multinomial, and CART regression models, supported by scatter plots, model diagnostics, and real industry case studies. Through guided examples and structured analysis, learners develop the ability to select appropriate models, interpret statistical outputs, and translate analytical results into actionable business insights. What makes this course unique is its strong emphasis on interpretation, visualization, and real-world applicability rather than formula-driven theory alone. Industry-inspired case studies, such as market segmentation and healthcare analytics, reinforce practical understanding, while step-by-step decision tree modeling builds confidence in explainable AI techniques. By completing this course, learners gain job-ready skills in advanced data analysis, improve their statistical decision-making capabilities, and become proficient in using Minitab to support data-driven strategies across business, quality, and analytics roles.

    View details: Analyze Advanced Data Using Minitab Regression Models
  • Technology
    Intermediate

    Portable Computing, Mobile Devices & Printers

    This course covers the support, maintenance, and security of portable computers, mobile devices, and printing systems — key areas of the CompTIA A+ Core 2 exam that reflect the hardware diversity IT technicians encounter every day. Learners benefit from developing practical skills in diagnosing and repairing laptop hardware, configuring and securing smartphones and tablets, and supporting multifunction printers in office environments. Online labs provide guided experience with mobile device management and printer configuration tasks.

    240 min
    View details: Portable Computing, Mobile Devices & Printers