Cursos de IT y software
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Data Modeling, Transformation, and Serving
In this course, you’ll model, transform, and serve data for both analytics and machine learning use cases. You’ll explore various data modeling techniques for batch analytics, including normalization, star schema, data vault, and one big table, and you’ll use dbt to transform a dataset based on a star schema and one big table. You’ll also compare the Inmon vs Kimball data modeling approaches for data warehouses. You’ll model and transform a tabular dataset for machine learning purposes. You’ll also model and transform unstructured image and textual data. You’ll explore distributed processing frameworks such as Hadoop MapReduce and Spark, and perform stream processing. You’ll identify different ways of serving data for analytics and machine learning, including using views and materialized views, and you’ll describe how a semantic layer built on top of your data model can support the business. In the last week of this course, you’ll complete a capstone project where you’ll build an end-to-end data pipeline that encompasses all of the stages of the data engineering lifecycle to serve data that provides business value.
Data Storytelling for Engaging Presentations
Transform your data into compelling, actionable stories that engage audiences and influence decisions. This short course equips digital marketing professionals with frameworks, practice exercises, and assessment tools to master narrative-driven analytics presentations. By completing this course, you'll be able to structure compelling narratives around data visualizations, create presentations that clearly connect insights to business objectives, and systematically improve your storytelling effectiveness based on audience feedback - skills you can apply immediately in your next quarterly review or client presentation. By the end of this course, you will be able to: • Apply presentation frameworks like SCQA to craft visual narratives from data visualizations • Evaluate audience feedback to improve storyline coherence and engagement This course is unique because it bridges the gap between data analysis and persuasive communication, teaching you not just what story to tell, but how to tell it in a way that transforms insights into influence. To be successful in this project, you should have a background in basic data visualization tools and experience creating business presentations.
Power Apps Development: Tips, Tricks & Best Practices
Master the art of building efficient and scalable business applications with Microsoft Power Apps. This course empowers professionals to design and develop robust, secure, and user-friendly solutions that transform manual processes into streamlined digital workflows — a critical skill in today’s data-driven workplace. Through a combination of hands-on exercises and expert guidance, learners will gain the ability to plan projects effectively, connect data sources, and implement advanced app logic. By the end of this course, you’ll be able to build and manage Power Apps solutions that integrate seamlessly with tools like Power Automate and Power BI, driving real business impact. Unlike many introductory tutorials, this course blends practical implementation with real-world case studies, offering a comprehensive understanding of Power Apps beyond basic usage. Learners will also explore emerging features such as Copilot Studio to enhance automation and personalization. This course is ideal for business analysts, IT professionals, and developers seeking to elevate their Power Platform expertise. A foundational knowledge of Microsoft 365 or Power Apps is recommended but not mandatory.
Back-End Infrastructure: Servers, Secure APIs and Data
This course explores back-end infrastructure management, secure API design, and robust data protection techniques. Participants will gain practical skills in server configuration, API security, and strategies for protecting data, which are crucial for building resilient and scalable systems. The course combines theoretical foundations, hands-on applications, and real-world examples to ensure comprehensive understanding and skill acquisition. This course empowers professionals like Data Protection Officers, Back-End Developers, API Designers, System Administrators, and Information Security Professionals with essential knowledge and skills in data protection and API security. With prerequisites including basic data protection principles, back-end infrastructure familiarity, API design expertise, and information security experience, participants are well-equipped for effective engagement. Throughout the course, participants will accomplish various objectives, including evaluating data protection's role in securing back-end infrastructure and APIs and analyzing successful case studies. Using HOTS verbs like "evaluate" and "analyze," learners will enhance their critical thinking in data security. They'll also refine practical skills for secure server configuration, ensuring robust API integrations to safeguard sensitive information. Upon completing this course, professionals will be well-prepared to evaluate and implement security measures that enhance the integrity and confidentiality of data. With a focus on real-world case studies and practical application, participants will emerge equipped to navigate complex data protection challenges and implement secure API strategies confidently. This learning journey promises to empower individuals to bolster their organizations' security posture and mitigate potential risks effectively.
Handling Security Incidents Across Domains
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. This comprehensive course equips participants with the knowledge and skills needed to effectively handle security incidents across various domains. Designed for incident handlers and responders (IH&R teams), it offers a structured approach to mastering digital evidence, malware handling, email security, and network security. The journey begins with an in-depth exploration of digital evidence collection and forensics. You'll learn about the principles of first response, volatile and static evidence collection, and the nuances of anti-forensics. Practical guidance from experts ensures you're prepared to manage the complexities of incident handling. As you progress, you'll delve into malware incident handling, covering preparation, detection, containment, eradication, and recovery. Email security incidents are addressed in a focused section that highlights preparation and first-response strategies. Finally, the course provides robust coverage of network security incidents, including unauthorized access, inappropriate usage, denial-of-service, and wireless network challenges. This course is perfect for security professionals, IT administrators, and aspiring incident responders looking to enhance their skills in cyber defense. While foundational knowledge of IT and cybersecurity is recommended, the course's intermediate difficulty ensures accessibility to learners with a basic understanding of security concepts.
Encryption and Cryptography Essentials
Over 10,600 confirmed breaches were reported globally in 2024, exposing millions of records, including sensitive healthcare and financial data. Organizations need cybersecurity professionals who can protect them against this costly risk. This Encryption and Cryptography Essentials course gives aspiring cybersecurity professionals job-ready skills in encryption, hashing, and digital signatures—key competencies employers are looking for. You’ll master symmetric (AES) and asymmetric (RSA) encryption techniques and apply hashing methods like MD5 and SHA to ensure data integrity. You’ll learn how to manage and verify certificates using the Online Certificate Status Protocol (OCSP). Plus, you’ll explore blockchain technology and its applications. This course is a comprehensive guide to mastering encryption and cryptography in cybersecurity. Through hands-on labs, interactive quizzes, and projects, you’ll learn how to secure digital information, tackle cybersecurity challenges, and implement encryption and cryptographic solutions. If you’re looking to add job-ready encryption and cryptography skills employers need to your resume, enroll today!
Full-Stack React with Spring Boot: Foundations
This course offers a deep dive into creating robust applications using Spring Boot, guiding you through the essentials of building both console and web applications. You'll start by mastering the Spring CLI and IntelliJ IDE, learning to configure applications and integrate REST services effectively. As you progress, you'll explore the intricacies of components and beans, understanding how to leverage autowiring and the Spring Expression Language to enhance your applications. Finally, you'll delve into configuration classes, discovering how to manage application contexts and utilize bean methods for seamless integration. By the end of this course, you'll have a solid foundation in full-stack development, equipped with the skills to build and manage sophisticated applications.
エンタープライズ データベースを使用した AI エージェントの構築
データベース向け MCP ツールボックスを使用して、エンタープライズ データベースを活用できる AI エージェントを構築します。安全なデータベース操作ツールを定義し、インテリジェントなクエリ機能を実装します（ベクトル エンベディング、構造化クエリを活用）。
Introduction to Data Engineering on Google Cloud - 简体中文
在本课程中，您将了解 Google Cloud 数据工程、数据工程师的角色和职责，以及相关的 Google Cloud 产品和服务。您还将了解如何应对数据工程挑战。
DevOps and AI on AWS: CI/CD for Generative AI Applications
In this course, we focus on the DevOps practices of building, deploying, and managing applications enhanced with generative AI features. You’ll learn how to implement Continuous Integration and Continuous Deployment (CI/CD) pipelines, explore strategies for reliable automation, and improve monitoring and observability for your applications. The course emphasizes practical skills to streamline releases, reduce potential errors, and maintain high-quality, scalable systems in dynamic cloud environments. With dedicated modules for Automatic deployments, Infrastructure as Code, Monitoring, and Operations, you’ll improve your understanding and ability to execute as a Developer or DevOps Engineer. Get comfortable with AWS services by learning how to use Amazon CodeDeploy in a CI/CD pipeline and using the AWS Cloud Development Kit. You’ll then use AWS Services to help with observability and monitoring (Amazon CloudWatch Anomaly detection and AWS X-Ray insights) - both services with AI features to help with more effective monitoring and alarms. By the end of this course, you’ll have built a robust application that supports continuous releases, improves time to market for new features and fixes, and reduce potential for human error.
Claude for Professional Productivity and Task 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. Unlock the full potential of Claude to streamline your work and automate complex tasks with ease. This course guides you through practical applications, from Excel and PowerPoint enhancements to AI-powered workflow automation, helping you achieve higher efficiency and smarter productivity. You'll learn how Claude transforms routine processes into seamless, automated operations, giving you time for strategic decision-making. Starting with the fundamentals, you'll explore prompt engineering, integration with Chrome, and building custom skills. Then, dive into using Claude for finance, data analysis, and machine learning applications. Practical exercises guide you through dashboards, slide decks, and variance analyses, ensuring hands-on mastery of these tools. Next, you'll discover Claude Cowork and automated workspaces, learning intelligent file management, invoice extraction, and summary analytics. Connectors and plugins expand Claude's capabilities further, enabling content automation, document review, and AI-enhanced investment insights. By the end, you'll understand multi-agent workflows, coding integration, and advanced automation techniques to supercharge productivity. This course is ideal for professionals, analysts, and business users seeking to optimize workflows, automate repetitive tasks, and leverage AI for smarter work. No prior AI experience is required, though familiarity with basic office tools and spreadsheets will be helpful. Difficulty level: Intermediate. By the end of the course, you will be able to automate workflows, enhance Excel and PowerPoint efficiency, leverage AI for financial analysis, create custom skills and plugins, and implement multi-agent automation for professional productivity.
CISM Certification Prep: Incident Management
This course is designed for professionals who want to master the critical skills needed to anticipate, prepare for, and effectively respond to security threats. You'll begin by exploring incident management planning and conducting a thorough Business Impact Analysis (BIA) to understand the potential effects of incidents on your organization. Delve into resiliency concepts, backup and recovery strategies, and disaster recovery planning to ensure your organization can withstand and quickly recover from disruptions. Gain insights into the minds of adversaries by studying attack vectors, including malware and social engineering. Armed with this knowledge, you'll learn to utilize detection and response tools, handle evidence, and conduct forensic examinations.
Core Apple Device Admin: iOS, macOS, & MDM Essentials
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. In this course, you'll gain comprehensive knowledge and hands-on experience in managing Apple devices. Whether you’re an IT professional or an organization looking to streamline device administration, you’ll learn how to configure, secure, and troubleshoot iOS and macOS devices. By exploring both the hardware and software management of iPhones, iPads, and Macs, this course covers everything from system setups to advanced device management techniques. You’ll also dive into Mobile Device Management (MDM) with Apple’s ecosystem, using tools like Apple Configurator and Mosyle MDM to efficiently manage devices in business and educational environments. The course begins by laying a solid foundation in iOS and macOS management, covering device activation, privacy, and security. You’ll progress into managing multiple devices using Apple Configurator, with a deep dive into deployment and asset management. As you move forward, you’ll learn advanced macOS client management, explore server features, and gain expertise in tools like Apple Remote Desktop for efficient device control. Additionally, you will understand how to integrate with Apple Business Manager and leverage MDM solutions for seamless device management. This course is ideal for IT administrators, network specialists, and those working in tech support roles. If you’re seeking to enhance your skills in managing Apple devices across diverse environments, this course is for you. The content is designed for intermediate learners, so prior experience with Apple devices and basic IT concepts is recommended. By the end of the course, you will be able to confidently configure, manage, and secure both iOS and macOS devices using Apple’s management tools, troubleshoot hardware and software issues, deploy devices efficiently in enterprise settings, and leverage MDM systems to streamline operations and ensure security.
Preparação para sua jornada até a certificação Professional Cloud Security Engineer
Este curso é uma preparação para o exame da certificação Professional Cloud Security Engineer (PCSE). Os estudantes terão contato com os tópicos do exame e vão praticá-los em uma série de aulas, perguntas de diagnóstico e testes de conhecimento. Após a conclusão do curso, os alunos terão um material de apoio personalizado para ajudar no restante da jornada de preparação para a certificação.
Scalable Availability in Software Architecture
Scalable Availability in Software Architecture is designed for software architects, operations architects, and aspiring architects who need to build and manage modern, high-scale applications that maintain exceptional availability while managing complexity and risk. Whether you're architecting SaaS applications, e-commerce platforms, or enterprise systems, you'll learn practical techniques for making critical architectural decisions, managing service dependencies, implementing cloud-native patterns, and building systems that can grow with your business needs while maintaining the reliability your customers demand.
Acelere o intercâmbio de conhecimento com o Gemini Enterprise
Com o Agentspace, você aproveita o melhor do Google em pesquisa e IA. Ele é uma ferramenta empresarial que ajuda as pessoas a encontrar informações específicas em documentos armazenados, e-mails, chats, sistemas de emissão de tickets e outras fontes de dados, tudo em apenas uma barra de pesquisa. O assistente do Agentspace também ajuda a criar ideias, fazer pesquisas, estruturar documentos e realizar ações como convidar colegas para um evento da agenda, agilizando os trabalhos intelectuais e todos os tipos de colaboração.
Data Engineering with Scala and Spark
This course is designed to equip data engineers with the skills to build scalable and efficient data pipelines using Scala and Spark. Data engineers will learn best practices for development, testing, and deployment in cloud environments, with a focus on optimizing performance and ensuring data quality. The course provides the necessary tools to transform raw data into actionable insights, making it highly relevant in today’s data-driven world. Throughout the course, learners will improve their data engineering skills by mastering techniques for building both streaming and batch data pipelines. The content emphasizes practical outcomes such as performance tuning and data profiling. With hands-on examples and step-by-step guidance, learners will gain a solid understanding of real-time and batch processing pipelines. What makes this course unique is its combination of foundational theory and real-world applications. By the end, you will be able to use Scala and Spark to process large datasets and optimize pipelines in cloud environments effectively. This course is ideal for data engineers with some experience in data processing. While it assumes familiarity with data engineering concepts and cloud technologies, anyone eager to improve their skills in Scala and Spark will benefit from the practical, step-by-step approach.
Google Cloud Fundamentals: Core Infrastructure en Français
Le cours "Google Cloud Fundamentals: Core Infrastructure" présente les concepts et les termes à connaître pour utiliser Google Cloud. À travers des vidéos et des ateliers pratiques, il décrit et compare la plupart des services Google Cloud de calcul et de stockage, ainsi que des outils importants de gestion des ressources et des règles.
Strategize Your Data Engineering Evolution
Ready to elevate your data engineering expertise from tactical execution to strategic leadership? This course transforms experienced SQL practitioners into architecture strategists who can drive enterprise-wide modernization initiatives. This Short Course was created to help data management and engineering professionals accomplish systematic technology assessment, financial evaluation, and strategic planning for complex data infrastructure projects. By completing this course, you'll be able to lead comprehensive architecture reviews, build compelling business cases with data-driven financial models, and execute migration strategies that balance technical excellence with business continuity. By the end of this course, you will be able to: Analyze current and target-state architectures to identify SQL tooling gaps Evaluate initiatives by developing and applying SQL-derived cost-benefit models Create a strategic roadmap to migrate legacy data transformation processes This course is unique because it bridges advanced SQL expertise with strategic business planning, teaching you to think like both a technical architect and business strategist when making critical infrastructure decisions. To be successful in this project, you should have a background in advanced SQL development, database architecture, and enterprise data systems.
Using OpenTSDB to Monitor Time-Series Data on Cloud Platform
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to collect, record, and monitor time-series data on Google Cloud Platform (GCP) using OpenTSDB running on Google Kubernetes Engine and Google Cloud Bigtable.
Optimizing Applications Using Cloud Profiler
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to use the Cloud Operations Tracing and Profiler tools to diagnose and correct application latencies.
Unix System Overview and Command
Build practical Unix command-line skills to analyze, manage, and automate everyday system tasks with confidence. In this course, you'll develop a strong understanding of Unix fundamentals while progressing to advanced command-line utilities used for file management, text processing, remote access, communication, and archiving. You’ll begin by exploring the Unix file system, navigating directories, working with absolute and relative paths, and managing file permissions based on user roles. Next, you'll execute commands to access and analyze file content, organize and compare files, process text streams, and use redirection, piping, and communication utilities. Finally, you'll work with FTP and login commands for remote system access, automate communication using Unix utilities, and efficiently archive and compress files for storage and retrieval. Designed for beginners and intermediate learners, this course combines foundational Unix concepts with hands-on command usage to help you build practical command-line proficiency. Whether you're learning Unix for system administration, scripting, or automation, you'll gain the skills to execute common Unix operations efficiently and manage Unix-based systems with confidence.
The CISO Masterclass
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. The CISO Masterclass is designed for aspiring CISOs, security leaders, and those interested in understanding the journey to the CISO role. By the end of the course, you will have a clear understanding of the essential personality traits of a CISO, be able to develop a comprehensive 90-day plan that includes people, processes, technology, and budgeting, and know how to create a robust cybersecurity strategy. You will also gain the skills to evaluate security metrics and tackle challenges such as budget constraints and team management, preparing you for real-world CISO responsibilities. As you progress, you’ll embark on a step-by-step journey that starts with career reflections and progresses through the essential 90-day plan for a CISO. This plan focuses on people, processes, technology, and budgeting, ensuring you are well-prepared for real-world CISO challenges. Additionally, the course covers the crucial aspects of cybersecurity strategy and metrics, helping you to assess and improve the effectiveness of your security posture. This course is ideal for those seeking to understand the CISO position, from role responsibilities to leadership strategies. A foundational understanding of information security principles and a keen interest in advancing into cybersecurity leadership are recommended.
Build End-to-End RPA Solutions with UiPath
Learners will develop the ability to design, implement, and optimize an end-to-end Robotic Process Automation (RPA) solution using UiPath. By the end of this course, learners will be able to prepare structured input data, configure queue-based transaction processing, automate web applications, handle business and system exceptions, implement dynamic email notifications, and modularize workflows for maintainable automation. This hands-on, project-driven course guides learners through a complete real-world UiPath automation using industry best practices. Rather than focusing on isolated activities, the course emphasizes building a production-ready automation that mirrors how RPA solutions are developed in enterprise environments. Learners gain practical experience working with Excel input files, Orchestrator queues, web automation, error handling using Try-Catch, and reusable workflow design. What makes this course unique is its strong focus on real project execution and architectural thinking. Learners not only learn how to automate but also why design decisions matter for scalability, reliability, and maintainability. Upon completion, learners will be well-prepared to apply UiPath RPA concepts confidently in professional automation projects and enterprise settings.
Gen AI for Fraud Detection Analytics
Welcome to the 'Generative AI in Fraud Detection Analytics' course, where you'll embark on a transformative journey to acquire practical expertise in generative AI for fraud prevention. Throughout this course, you'll delve into the world of AI-driven fraud detection, mastering the fundamentals and exploring real-world applications. By the end of this course, you will be able to: - Gain a comprehensive understanding of generative AI in fraud detection. - Utilize generative AI techniques, especially the LSTM and GAN model, for practical email fraud detection projects, strengthening the capacity to employ AI in real-world fraud prevention scenarios. - Grasp the key concepts of generative AI's role in fraud detection, encompassing ethical considerations and best practices for data handling, establishing a strong foundation in AI-driven fraud analytics. This course is tailored for learners from diverse backgrounds, including data scientists, fraud analysts, AI enthusiasts, and professionals aiming to enhance their skills in fraud analytics. Prior experience in AI and fraud detection is beneficial but not required. Embark on this educational journey to master Generative AI for Fraud Detection Analytics and elevate your expertise in fraud prevention.
Boost Productivity with Gemini in BigQuery - 日本語版
このコースでは、データを AI 活用へつなげるためのワークフローに役立つ AI 搭載の機能スイート、Gemini in BigQuery について説明します。この機能スイートには、データの探索と準備、コード生成とトラブルシューティング、ワークフローの検出と可視化などが含まれます。このコースでは、概念の説明、実際のユースケース、ハンズオンラボを通じて、データ実務者が生産性を高め、開発パイプラインを迅速化できるよう支援します。
Security Architecture & Operations
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. This comprehensive course equips you with the knowledge and skills necessary to design, implement, and manage effective security architecture and operations within modern enterprises. You will gain an in-depth understanding of critical security concepts, from cloud-related considerations to network infrastructure and data protection techniques. By the end of the course, you'll be able to enhance an organization's security posture through intelligent design, planning, and operational efficiency. The course begins with an exploration of various architectural models, including cloud, network infrastructure, IoT, and virtualization. You’ll study the security implications of each, understanding how to implement security measures in each architecture. As you progress, you'll dive into core topics such as selecting effective security controls, data protection, and network appliance configuration. You'll learn about cutting-edge techniques, including firewalls, secure communication, and advanced backup technologies for resilience and continuity of operations. The next section focuses on security operations, emphasizing real-world implementation of security measures across an organization. You’ll explore identity and access management (IAM), wireless security, endpoint detection, password management, and more. Additionally, you’ll gain insights into the incident response process, the importance of monitoring, and strategies for vulnerability response. Testing, digital forensics, and security baselines will also be covered to help you understand how to respond to, mitigate, and report security threats effectively. This course is perfect for security professionals, IT specialists, and anyone looking to deepen their understanding of security architecture and operations. No prior advanced security knowledge is required, though familiarity with basic IT concepts is recommended. With a mix of theory and practical skills, this course is ideal for learners aiming to advance in the cybersecurity field or take on security leadership roles.
WLAN Security
This course provides a comprehensive foundation for success in working with WLAN technology, making it ideal for anyone seeking to build practical skills in wireless networking. You’ll not only learn the essentials of RF technologies, such as frequencies and antenna types, but also discover how to address the real-world challenges encountered in diverse installation environments. What sets this course apart is its strong focus on security—a critical concern as wireless networks become frequent targets for sophisticated cyber threats like ransomware. You’ll gain hands-on experience using common tools to assess Wi-Fi vulnerabilities and learn how to deploy advanced hardware and software solutions to protect your network. The course covers enterprise-grade security frameworks such as IEEE 802.1X, EAP authentication, and the latest WPA standards, ensuring you are prepared to secure both internal and guest access without compromising organizational integrity. By understanding the latest trends in attacks and insider threats, you’ll be equipped with the knowledge and skills to safeguard your wireless enterprise in today’s evolving threat landscape.
Google Vids で魅力的な動画を作成
"このコースでは、一部の Google Workspace ユーザーが利用できるオンラインの動画制作および編集アプリ、Google Vids について学びます。レッスンとデモを通じて、職場で動画を通じて魅力的なストーリーを作成し伝える方法を学びます。また、メディア、音声、動画クリップをシームレスに取り込む、スタイルをカスタマイズする、作成した動画を簡単に共有するといった方法も学べます。 Google Vids の一部の機能では、作業効率を高めるために生成 AI を使用しています。Gemini を含む生成 AI ツールは不正確または不適切な情報を示す場合があるため、Gemini 機能を医療、法律、金融、またはその他の専門的な助言として利用しないでください。また、Gemini 機能による提案は Google の見解を述べるものではなく、Google に帰属するものでもないことにもご留意ください。"
Building and Debugging Cloud Functions for Node.js
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will create a Cloud Function for Node.js that reports whether a specified temperature is acceptable or too hot. You will create, test, and debug your Cloud Function using Visual Studio Code on your local machine. Lastly, you'll deploy your function to Google Cloud Platform.
Explorer la transformation des données avec Google Cloud
La technologie cloud est un atout de taille qui, lorsqu'elle est associée aux données, devient un catalyseur d'innovation et d'amélioration de l'expérience client. Le cours "Explorer la transformation des données avec Google Cloud" explique comment les entreprises peuvent exploiter le cloud pour rendre leurs données plus accessibles, exploitables et utiles. Ce cours fait partie du parcours de formation Cloud Digital Leader. Il vise à aider les participants à évoluer dans leur poste et à bâtir l'avenir de leur entreprise.
Generative AI: Advancing Systems Analysis & Architecture
Are you a Systems Analyst, IT Systems Architect, Software Architect, or a Solutions Architect and keen to use generative AI (GenAI) to enhance how you analyze and design systems, define solution requirements, and share technical insights? In this course, you’ll learn how to craft prompts and apply AI-driven requirement extraction to convert unstructured inputs, such as stakeholder interviews, emails, and process notes, into structured documentation, including user stories, use cases, system requirements, and acceptance criteria. You’ll gain hands-on experience generating and refining BPMN diagrams, system architecture workflows, process flowcharts, and customer journey maps using AI-powered modeling tools. You'll use GenAI to produce solution design assets such as business rules, architecture summaries, impact assessments, and stakeholder-ready briefs. Plus, you'll explore practical integration of AI into platforms such as Jira, Confluence, Miro, and Power BI to enhance collaboration, traceability, and efficiency across solution design lifecycles. If you’re looking to develop job-ready skills in system analysis, solution clarity, and stakeholder alignment using GenAI, enroll today and become the future-ready architect businesses need.
Manage and Secure Distributed Services with GKE Managed Service Mesh
This is a self-paced lab that takes place in the Google Cloud console. Learn how to run distributed services on multiple Google Kubernetes Engine (GKE) clusters in Google Cloud using Multi Cluster Ingress and GKE Service Mesh
Scale in the Cloud
Many analysts hit a ceiling when raster datasets outgrow their local machines. Processing slows down, memory runs out, and deadlines slip. This course gives you the practical skills to move past those limits by setting up cloud-based raster workflows on AWS. You will launch and configure an EC2 instance with GDAL installed, run raster processing tasks both locally and in the cloud to compare performance, and store raster data in Amazon S3 using lifecycle policies to manage costs as datasets grow. Each topic pairs short videos and readings with hands-on activities where you do the actual work, coach-guided reflections that build analytical thinking, and practice quizzes to check your understanding. A final graded assessment validates your ability to apply these skills in realistic scenarios. No prior AWS experience is required. By the end, you will be able to set up a cloud compute environment, evaluate when cloud processing is worth the investment, and design a storage strategy that balances accessibility with cost control.
Troubleshooting, Mobile Devices & Professional Practices
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. Dive into a comprehensive journey covering mobile device security, troubleshooting, and professional IT practices. You will learn to secure devices, manage networks, and identify common hardware and software issues while gaining confidence in practical problem-solving. The course combines hands-on strategies, exam-focused scenarios, and real-world examples to strengthen your technical and professional skills. Starting with mobile device hardening and encryption, you’ll explore screen locks, app updates, security software, and policies like MDM and BYOD. Then, you’ll master SOHO router security, data destruction methods, browser safety, Windows and mobile troubleshooting, and incident response workflows. Each module builds practical expertise with step-by-step guidance and interactive exercises that mirror real IT environments. As you progress, you’ll engage with advanced topics such as backup and recovery, physical safety, scripting, remote access, and AI integration. You’ll also develop documentation, change management, and professional communication skills crucial for IT support roles. The course structure ensures a balanced blend of theory, application, and exam preparation, keeping you ready for CompTIA A+ scenarios. This course is ideal for aspiring IT professionals, helpdesk technicians, and anyone preparing for CompTIA A+ certification. No prior advanced knowledge is required, though basic computer literacy helps. The content is suitable for beginners through intermediate learners seeking structured, hands-on IT training. By the end of the course, you will be able to secure mobile devices, troubleshoot hardware and software issues, implement professional IT documentation, manage backups and networks, and apply best practices in IT workflows with confidence.
Apply Chef to Automate Cloud Infrastructure Projects
Learners will configure Chef-based infrastructure, develop reusable cookbooks, automate cloud and database environments, and deploy a complete web application using industry-standard DevOps practices. They will analyze infrastructure requirements, implement configuration management workflows, and evaluate system stability using Chef tooling across local, standalone, and centralized models. This course provides hands-on, project-driven learning focused on building an online college registration system from the ground up using Chef and AWS. Learners gain practical experience setting up Chef workstations, writing Ruby-based recipes, managing nodes, configuring databases, and automating Apache web servers. By progressing from local development to centralized Chef Server deployments, learners develop a strong understanding of real-world infrastructure automation pipelines. What makes this course unique is its end-to-end project orientation—instead of isolated concepts, learners implement a complete production-style solution that mirrors enterprise DevOps environments. The course bridges the gap between theory and practice, making it ideal for aspiring DevOps engineers, system administrators, and cloud professionals seeking job-ready configuration management skills.
Data Engineering on AWS - Foundations
In this course, you will learn essential data engineering concepts such as what does a data engineer do, how to perform data discovery, and which AWS data services are available for running, automating, and securing your data solutions and projects. The course introduces you to data engineering tools for continuous integration and continuous delivery (CI/CD), infrastructure as code (IaC), serverless applications, cost optimization, and authentication. You will also learn what networking concepts should be taken into consideration for data engineers. The course is divided into different modules. With the learning modules, you will learn new concepts and get introduced to AWS services to build your solution. In this course you will learn to: - Describe the data engineering role and personas they work with. - Identify how to perform data discovery to help define requirements and review considerations. - Identify common data architectures and appropriate AWS services. - Recognize how to orchestrate and automate data pipelines using AWS services. - Identify AWS security and monitoring services. - Identify common CI/CD tools used by data engineers on AWS. - Identify IaC tools used by data engineers on AWS. - Describe AWS Serverless Application Model (AWS SAM). - Identify AWS cost optimization tools. - Identify different AWS security mechanisms.
COBIT 2019 Foundation
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. The COBIT 2019 Foundation course is designed to equip IT professionals with the knowledge and skills needed to implement effective governance practices. Beginning with an overview of COBIT 2019 and its role in aligning IT with business strategy, the course dives into key principles and the updated features of this globally recognized framework. Participants will gain a deep understanding of how enterprise governance of IT (EGIT) can drive business value and support strategic objectives. As you progress, the course delves into the core components of COBIT 2019, including governance and management objectives, design factors, and the Goals Cascade. Each section is carefully structured to build your competency in applying the framework to real-world scenarios, emphasizing the importance of tailored governance systems. You will explore how to assess performance and maturity levels within your organization, using COBIT’s systematic approach to optimize processes and improve outcomes. The final modules guide you through the practical steps of implementing COBIT 2019, supported by ISACA's official Implementation Guide. This course not only prepares you for the COBIT 2019 Foundation exam but also provides the tools and insights needed for effective IT governance in any organization. You will emerge with a robust understanding of how to lead governance initiatives and contribute to your organization's strategic success. This course is ideal for IT professionals, managers, auditors, and consultants involved in IT governance and management. A basic understanding of IT governance concepts is recommended but not mandatory.
Systems and Application Security
Course 7 - Systems and Application Security This is the seventh course under the specialization SSCP. This course discusses two major changes in recent years to how we use our data: going mobile and using the cloud. First, we use our data on the go by means of data services provided to our mobile phones, Wi-Fi, and other devices. Second, so many of the enhanced functions we take for granted in our daily personal and professional lives are made possible by cloud services, where our data is stored or processed. Course 7 Learning Objectives After completing this course, the participant will be able to: - Classify different types of malware. - Determine how to implement malware countermeasures. - Identify various types of malicious activities. - Develop strategies for mitigating malicious activities. - Describe various social engineering methods used by attackers. - Explain the role of behavior analytics technologies in detecting and mitigating threats. - Explain the role and functionality of host-based intrusion prevention system (HIPS), host-based intrusion detection system (HIDS), and host-based firewalls. - Evaluate the benefits of application whitelisting in endpoint device security. - Explain the concept of endpoint encryption and its role in endpoint security. - Describe the role and functionality of Trusted Platform Module (TPM) technology in providing hardware-based security features. - Identify the steps in implementing secure browsing practices using digital certificates and secure communication protocols. - Explain the concept of endpoint detection and response (EDR) and its role in providing real-time monitoring, detection, investigation, and response capabilities to identify and mitigate advanced threats and security incidents on endpoint devices. - Identify provisioning techniques for mobile devices. - Explain the concept of containerization and how it contributes to effective mobile device management. - Explain how encryption contributes to effective mobile device management. - Describe the process of Mobile Application Management (MAM) to effectively manage the life cycle of mobile applications. - Distinguish among public, private, hybrid, and community deployment models in cloud security. - Distinguish among various service models and their impact on cloud security practices. - Describe virtualization technologies and their role in maintaining cloud security. - Identify legal and regulatory concerns related to cloud security. - Determine strategies to implement data storage, processing, and transmission while maintaining cloud security. - Explain the requirements and considerations associated with third-party services and outsourcing in cloud storage. - Explain the concept of the shared responsibility model in cloud storage. - Identify steps to manage and secure hypervisor environments. - Explain how to deploy, configure, and maintain virtual appliances within virtualized environments. - Determine the process for managing containerized environments. - Describe the best practices of storage management in virtualized environments. - Develop strategies for ensuring business continuity and resilience in virtualized environments. - Analyze potential threats and attacks targeting virtual environments. Who Should Take This Course: Beginners Experience Required: No prior experience required
Google Meet - Español
En este curso, te presentamos Google Meet, el software para videoconferencias de Google que se incluye en Google Workspace. Aprenderás a crear y administrar reuniones de videoconferencia con Google Meet. Descubrirás diferentes maneras para abrir Google Meet y agregar personas a una videoconferencia. También aprenderás a unirte a reuniones desde diferentes fuentes, como eventos de calendario o vínculos de reuniones. Explicaremos cómo Google Meet te puede ayudar a comunicarte mejor, intercambiar ideas y compartir recursos con tu equipo donde sea que estén. Aprenderás a personalizar el entorno de Google Meet según tus necesidades y a utilizar eficazmente los mensajes de chat durante una videoconferencia. También descubrirás diferentes maneras para compartir recursos, como usar las invitaciones o los archivos adjuntos del calendario. Aprenderás a usar los controles del organizador en Google Meet para administrar a los participantes y utilizar las funciones de moderación interactiva. También aprenderás a grabar y transmitir en vivo las videoconferencias.
Advanced Security Practices: Risk & Endpoint Security
This course provides thorough preparation for the CASP+ CAS-004 exam, focusing on advanced security strategies, techniques, and real-world applications. The course covers crucial concepts in risk management, endpoint security, cloud environments, and incident response, preparing learners for success in handling complex security systems and making strategic decisions. Learners will develop the skills necessary to configure secure endpoints and cloud environments, conduct thorough risk assessments, and identify indicators of compromise. Hands-on assessments, and practical scenarios reinforce the concepts, ensuring learners can directly apply what they’ve learned in real-world cybersecurity situations. What sets this course apart is its seamless integration of theoretical knowledge with practical, real-world tasks, closely aligned with the CAS-004 exam domains. Through interactive learning tools, learners will gain deep, actionable expertise in managing advanced security environments. This course is ideal for cybersecurity professionals seeking CASP+ certification, with an assumed background in security fundamentals, networking, and system administration. The curriculum is designed to expand their technical capabilities and strategic decision-making skills. This course is part one of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization. Copyright © 2023 by John Wiley & Sons, Inc. All rights reserved. Published by John Wiley & Sons, Inc., Hoboken, New Jersey. Published simultaneously in Canada and the United Kingdom. Used by arrangement with John Wiley & Sons, Inc.
Getting Started with Amazon DocumentDB (with MongoDB compatibility)
Using the document database service Amazon DocumentDB (with MongoDB compatibility), you can store and scale JavaScript Object Notation (JSON) workloads. You don't need to worry about running cluster management software, configuring backups, or monitoring production workloads. You can also migrate self-managed MongoDB-compatible databases to Amazon DocumentDB because it is fully managed. In this course, you will learn about the benefits and technical concepts of Amazon DocumentDB. If you are new to the service, you will learn how to start using Amazon DocumentDB through a demonstration of the AWS Management Console and AWS Command Line Interface (AWS CLI). You will learn about the native architecture and how the built-in features help scale and manage your document database workload. The course covers how Amazon DocumentDB fits into a larger cloud-based architecture and typical use cases that are a good fit when building solutions.
L'IA générative pour le secteur de la santé
Spécialement conçu pour les professionnels de santé, ce cours lève le voile sur l'IA générative (la dernière avancée en matière d'intelligence artificielle) et les grands modèles de langage ou LLM (la technologie qui alimente ce type d'IA). Découvrez des applications concrètes de l'IA générative dans le secteur de la santé et apprenez à créer des prompts efficaces adaptés à vos objectifs.
LFCS Exam Prep: Managing Storage
This course provides a comprehensive exploration of Linux storage management, covering essential topics such as partition management, file systems, logical volume management (LVM), and data backup strategies. Begin by understanding the intricacies of MBR and GPT partitioning systems, and learn to create and manage partitions effectively. Progress to mastering file systems like Ext4 and XFS, and learn to mount them using advanced techniques. Delve into the flexibility of LVM, gaining skills in creating and resizing logical volumes. Finally, secure your data with robust backup strategies using tools like tar, rsync, and dd. With hands-on labs and real-world scenarios, this course ensures you acquire practical skills and confidence to manage Linux storage systems efficiently.
Gerenciamento de usuários e recursos no Google Workspace
Este curso foi criado para ajudar a entender como os usuários e recursos são gerenciados no Workspace. Os estudantes vão conhecer a configuração de unidades organizacionais e como ela pode ser adaptada às demandas das organizações em que trabalham. Além disso, os estudantes vão aprender a gerenciar vários tipos de grupos do Google. O curso também vai mostrar como gerenciar as configurações de domínios no Google Workspace. Por fim, os estudantes aprenderão a otimizar e estruturar recursos no seu ambiente do Google Workspace.
Routing, Network Devices, and Security
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. In this course, you'll dive deep into the essential components of networking, routing, network devices, and securing TCP/IP systems. Starting with routing protocols such as NAT, OSPF, and BGP, you will learn to configure routers, understand static and dynamic routing, and explore concepts like port forwarding and NAT. As you progress, you'll uncover the various network applications and learn to apply network tools like Wireshark and netstat for troubleshooting and managing network traffic effectively. With hands-on activities throughout, you will gain the confidence to apply what you learn in real-world scenarios. As the course continues, you'll also explore security techniques and solutions critical for safeguarding your networks. You'll learn about encryption methods, access control, digital certificates, and tools like RADIUS and TACACS+ that ensure a robust network security infrastructure. Additionally, you'll learn how to configure and manage advanced network devices like switches and firewalls. Concepts such as VLANs, inter-VLAN routing, and load balancing will help you optimize network performance while maintaining security. This course is designed for IT professionals and network administrators who want to improve their skills in routing, network management, and security. The course does not require prior knowledge of networking, though some basic computer skills may be helpful. By the end of the course, you will understand how to manage network devices, configure security protocols, and implement best practices to build and secure complex network infrastructures. By the end of the course, you will be able to configure routers, secure TCP/IP communications, troubleshoot network issues using various tools, implement VLANs, and ensure network security with encryption and access control methods.
SSCP: Systems and Application Security
This course covers systems and application security. You'll explore the critical aspects of endpoint security, learning to build, install, and maintain security measures using technologies like TPM, IDS, IPS, and host-based firewalls. Gain insights into identifying and mitigating malicious code and social engineering attacks, equipping you with proactive strategies to safeguard systems. You'll learn about secure virtual environments, including hypervisors, containers, and virtual appliances to effectively manage virtualization technologies. You'll also learn about cloud security, including service deployment models and navigating legal and regulatory concerns. Additionally, the course covers Enterprise Mobility Management, focusing on mobile device security and provisioning techniques.
Operate Alibaba Cloud Systems and Services
Course description: ACA System Operator Certification Preparation Course is intended for individuals who have technical expertise in deployment, management and operations on Alibaba Cloud. It’s recommended for System administrators with at least one year of experience in deployment, management, and operations on Alibaba Cloud. ACA System Operator Certification is intended for individuals who have technical expertise in deployment, management, and operations on Alibaba Cloud. Certificate holders are certified to be capable of deploying, managing and operating scalable, highly available systems on Alibaba Cloud, selecting appropriate services on Alibaba Cloud knowing how to monitor, debugging and troubleshooting those service, utilizing Alibaba Cloud's operational best practices, migrating on-premises workloads to Alibaba Cloud and managing IT governance on the Cloud. To earn an official Alibaba Cloud certificate please find the register portal on Academy's website: https://edu.alibabacloud.com/certification/aca_operator
生成式 AI：掌握幕後技術與環境
「生成式 AI：掌握幕後技術與環境」是 Generative AI Leader 學習路徑的第三門課程。生成式 AI 正在改變我們的工作方式,以及我們如何與周遭的世界互動。身為領導者,您要如何駕馭 AI 強大的功能,創造實際業務成果?在本課程中,您將認識建構生成式 AI 解決方案時的各個層面、Google Cloud 產品,以及選擇解決方案時應考量的因素。
Deploy, Manage, and Orchestrate Your Models
Containerization is more than a deployment tool—it’s the backbone of reliable, scalable machine learning systems. In this intermediate-level course, you’ll learn how to package, deploy, and manage ML models using Docker and Kubernetes. You’ll start by exploring why containerization matters—how it ensures reproducibility and stability across environments. Then, you’ll move into orchestration, learning how Kubernetes automates deployment, scaling, and monitoring for real-world applications. Through concise videos, guided readings, and a hands-on project, you’ll write a Dockerfile, publish your image to an internal registry, and deploy it to a cluster using a Kubernetes configuration file. You’ll also practice testing and reflecting on your deployment process to strengthen your operational mindset. By the end, you’ll be able to build, deploy, and manage containerized ML applications confidently—skills essential for engineers, data scientists, and anyone bringing AI models into production.