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  • Technology
    Beginner

    Cloud Based Analytics and AI Programming

    This course introduces the programming capabilities of the SAS Viya platform for learners who want to work directly with code to manage, process, and analyze data. Learners use SAS Studio to write, execute, and manage programs that run in both the SAS Compute Server and the high‑performance SAS Cloud Analytic Services (CAS) environment. The course explains when and how to leverage in‑memory, parallel processing to improve performance for large or complex data workloads. Learners explore CAS‑enabled programming, understand how data is accessed and loaded through caslibs, and learn best practices for optimizing code execution. The course also highlights SAS Viya’s multi‑language architecture, showing how SAS integrates with Python, R, SQL, and REST APIs to support flexible, collaborative workflows. By the end of the course, learners can confidently describe how SAS Viya executes code, accelerates analytics, and supports modern, scalable programming practices in real‑world analytics environments.

    720 min
    View details: Cloud Based Analytics and AI Programming
  • Business
    Beginner

    Capstone: Accounting Assistant with AI Skills

    Breaking into accounting takes more than bookkeeping knowledge—it takes the ability to demonstrate applied skills, use technology confidently, and present yourself as an operations-ready professional. This course gives you a structured, practical roadmap to do exactly that. You'll build a portfolio of accounting work samples—including a complete accounting cycle demonstration, bank reconciliation, and automated spreadsheet tools—that show employers what you can do, not just what you've studied. You'll also develop a job-ready resume using competency-driven language, craft your LinkedIn profile for accounting roles, and prepare for technical interviews with proven response frameworks for real accounting scenarios. From accounts payable and payroll processing to financial reconciliation and month-end close, you'll practice applying your accounting knowledge in realistic workplace contexts. By the end, you'll have the professional assets, interview confidence, and job search strategy to pursue entry-level accounting positions with clarity and purpose.

    View details: Capstone: Accounting Assistant with AI Skills
  • Technology
    Beginner

    Sélectionner une base de données GC pour vos applications

    Dans ce cours, vous apprendrez à analyser et à choisir la base de données adaptée à vos besoins, afin de développer efficacement des applications sur Google Cloud. Vous explorerez les bases de données relationnelles et NoSQL, puis Cloud SQL, AlloyDB et Spanner, et vous apprendrez à aligner les atouts des bases de données sur les exigences de vos applications, y compris celles de l'IA générative. Vous découvrirez en pratique comment configurer la recherche vectorielle et migrer des applications vers le cloud.

    View details: Sélectionner une base de données GC pour vos applications
  • Technology
    Intermediate

    Data Analysis Using Pyspark

    One of the important topics that every data analyst should be familiar with is the distributed data processing technologies. As a data analyst, you should be able to apply different queries to your dataset to extract useful information out of it. but what if your data is so big that working with it on your local machine is not easy to be done. That is when the distributed data processing and Spark Technology will become handy. So in this project, we are going to work with pyspark module in python and we are going to use google colab environment in order to apply some queries to the dataset we have related to lastfm website which is an online music service where users can listen to different songs. This dataset is containing two csv files listening.csv and genre.csv. Also, we will learn how we can visualize our query results using matplotlib.

    View details: Data Analysis Using Pyspark
  • Technology
    Intermediate

    Generative AI for Code Completion

    Did you know that AI-powered code completion tools can significantly accelerate coding tasks and enhance code quality? This short course was created to help software engineers, developers, and coding enthusiasts use Generative AI for Code Completion. By completing this course, you'll be able to: - Understand the role of AI in code completion. - Gain familiarity with basic and advanced usage of Generative AI tools for coding, such as ChatGPT and GitHub Copilot. - Apply AI-driven code completion tools in real-world coding scenarios to enhance productivity and code quality. By the end of this course, you will be able to: - Apply Large Language Models (LLMs) for both basic and advanced code completion to enhance coding efficiency and accuracy. - Evaluate Generative AI tools to enhance productivity, creativity, and problem-solving capabilities in software development workflows. This course is unique because it bridges AI technology with practical coding skills, equipping you to leverage AI-driven code completion tools effectively. To be successful in this project, you should have basic programming knowledge and familiarity with coding.

    180 min
    View details: Generative AI for Code Completion
  • Technology
    Beginner

    Intro to Digital Experience and Content Management

    By the end of this course, you’ll understand what a content management system (CMS) is, how it works, and why it’s essential for creating and delivering modern digital experiences. You’ll learn how a CMS supports content authoring, editing, versioning, and collaboration, and how it enables teams to publish consistent, scalable experiences across websites, mobile apps, kiosks, in‑store screens, and more. This course also introduces you to Adobe Experience Manager (AEM), an industry‑leading enterprise CMS trusted by global brands. You’ll explore how AEM streamlines the creation and management of digital content and assets—empowering marketing teams, business users, and content authors to deliver high‑quality, omnichannel experiences without relying heavily on developers. Whether you’re new to CMS technology or looking to expand your digital experience skill set, this course provides foundational knowledge you can apply immediately in real‑world projects.

    80 min
    View details: Intro to Digital Experience and Content Management
  • Technology
    Beginner

    アプリケーションに適した Google Cloud データベースの選択

    このコースでは、Google Cloud でアプリケーションを効果的に開発するために、ニーズに適したデータベースを分析して選択する方法を学びます。リレーショナル データベースと NoSQL データベースについて理解し、Cloud SQL、AlloyDB、Spanner の知識を深めて、データベースの強みを生成 AI などのアプリケーションの要件に合わせる方法を学びます。また、Vector Search の構成とアプリケーションのクラウド移行の実践的な経験を積むことができます。

    View details: アプリケーションに適した Google Cloud データベースの選択
  • Business
    All levels

    Master Financial Analysis & Reporting Techniques

    Master financial statement analysis and apply it to real-world business decisions. Learn how to interpret financial data with clarity and confidence. This course equips you with the skills to analyze financial statements and understand the core components of financial reporting. You will explore income statements, equity reporting, cash flow analysis, and revenue recognition in a structured and practical way. Designed for aspiring analysts and finance professionals, the course goes beyond theory by focusing on real-world application. You will learn how to extract insights from financial data and use them to support business and investment decisions. By the end of the course, you will be able to confidently evaluate financial performance, understand reporting frameworks, and apply financial analysis techniques in professional scenarios. Whether you are building a career in finance or enhancing your analytical skills, this course provides the essential tools needed to succeed.

    View details: Master Financial Analysis & Reporting Techniques
  • Technology
    All levels

    Programação para todos (Conceitos básicos de Python)

    Este curso tem como objetivo ensinar a todos os conceitos básicos de programação de computadores usando Python. Abordamos o básico de como criar um programa a partir de uma série de instruções simples em Python. O curso não tem pré-requisitos e evita tudo, exceto a matemática mais simples. Qualquer pessoa com experiência moderada em computadores deve ser capaz de dominar os materiais deste curso. Este curso abordará os capítulos 1 ao 5 do livro “Python para Todos”. Assim que o aluno concluir este curso, estará preparado para fazer cursos de programação mais avançados. Este curso aborda o Python 3.

    View details: Programação para todos (Conceitos básicos de Python)
  • Technology
    Beginner

    Building Rust AWS Lambda Microservices with Cargo Lambda

    In this project, you will learn how to build an AWS Lambda function with Rust using Cargo Lambda. We will create a simple "Marco Polo" Lambda that responds with "Polo" when it receives "Marco" in the request. You will learn: * How to create a new Cargo Lambda project * Writing a basic Lambda handler function in Rust * Building, deploying and invoking your Lambda function locally and on AWS * Debugging your Lambda using logging and tracing

    120 min
    View details: Building Rust AWS Lambda Microservices with Cargo Lambda
  • Technology
    Intermediate

    Data Balancing with Gen AI: Credit Card Fraud Detection

    In this 2-hour guided project, you will learn how to leverage Generative AI for data generation to address data imbalance. SecureTrust Financial Services, a financial institution, has asked us to help them improve the accuracy of their fraud detection system. The model is a binary classifier, but it's not performing well due to data imbalance. As data scientists, we will employ Generative Adversarial Networks (GANs), a subset of Generative AI, to create synthetic fraudulent transactions that closely resemble real transactions. This approach aims to balance the dataset and enhance the accuracy of the fraud detection model. This guided project is designed for those interested in learning how Generative models can increase model accuracy by generating synthetic data. To make the most of this project, it is recommended to have at least one year of experience using deep learning frameworks such as TensorFlow and Keras in Python.

    120 min
    View details: Data Balancing with Gen AI: Credit Card Fraud Detection