Cursos de IT y software
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Privilege Escalation, OWASP, and Advanced Scripting
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. Explore advanced cybersecurity techniques, including privilege escalation, scripting, and the OWASP Top 10 vulnerabilities. Through hands-on exercises, you will learn to create reliable Bash, PowerShell, and Python scripts, automate workflows, and analyze vulnerabilities in real scenarios. The course starts with scripting fundamentals and progresses to advanced techniques, enabling you to build modular, efficient scripts for offensive and defensive security tasks. You will also study OWASP vulnerabilities and learn safe exploitation and mitigation methods. Capstone labs simulate real-world scenarios, including red and blue team exercises, incident response, and threat detection. This intermediate course is ideal for IT professionals, cybersecurity enthusiasts, and ethical hackers with basic scripting and system knowledge. By the end of the course, you will be able to design and execute advanced scripts, exploit and mitigate web vulnerabilities, perform privilege escalation, and complete comprehensive red and blue team exercises.
AWS Cloud Foundations and Core Infrastructure
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. Explore the foundations of AWS Cloud and core infrastructure in this comprehensive course designed to set you on the path to AWS certification. You'll learn essential cloud concepts, AWS services like EC2, S3, and IAM, and how to manage security, networking, and compute resources effectively. The hands-on labs in this course allow you to gain real-world experience, from securing your AWS account with MFA to launching EC2 instances and deploying web apps with Lambda. The journey begins with an introduction to cloud computing and its advantages, before diving into AWS-specific services, tools, and security features. You’ll progress to key infrastructure services like storage, networking, and compute resources, understanding their role in building scalable and secure cloud architectures. By the end, you’ll have the practical skills to manage and configure AWS resources and ensure the security of your AWS environment. This course is ideal for beginners seeking to learn cloud computing fundamentals or professionals aiming to achieve the AWS Certified Cloud Practitioner credential. There are no formal prerequisites, though basic IT knowledge is helpful. The course is designed for those at the beginner level, with no prior AWS experience required. By the end of the course, you will be able to create and manage AWS accounts, implement IAM security practices, launch EC2 instances, configure S3 storage, set up VPCs, and optimize your AWS resources for efficiency and cost-effectiveness.
Python Project for Data Engineering
Showcase your Python skills in this Data Engineering Project! This short course is designed to apply your basic Python skills through the implementation of various techniques for gathering and manipulating data. You will take on the role of a Data Engineer by extracting data from multiple sources, and converting the data into specific formats and making it ready for loading into a database for analysis. You will also demonstrate your knowledge of web scraping and utilizing APIs to extract data. By the end of this hands-on project, you will have shown your proficiency with important skills to Extract Transform and Load (ETL) data using an IDE, and of course, Python Programming. Upon completion of this course, you will also have a great new addition to your portfolio! PRE-REQUISITE: **Python for Data Science, AI and Development** course from IBM is a pre-requisite for this project course. Please ensure that before taking this course you have either completed the Python for Data Science, AI and Development course from IBM or have equivalent proficiency in working with Python and data. NOTE: This course is not intended to teach you Python and does not have too much new instructional content. It is intended for you to mostly apply prior Python knowledge.
Google Cloud의 로깅 및 모니터링
Google Cloud의 로깅, 모니터링, 모니터링 가능성에 관한 2부 과정에 오신 것을 환영합니다. Google Cloud의 핵심 운영 도구는 크게 두 가지 카테고리로 나뉩니다. 운영 중심 구성요소와 애플리케이션 성능 관리 도구입니다. 이 과정에서는 Google Cloud의 로깅 및 모니터링에서는 로깅, 모니터링, 서비스 모니터링을 포함한 운영 중심 구성요소를 다룹니다. 이 과정을 수강한 후에는 Google Cloud의 모니터링 가능성(2부)을 완료하여 사용 가능한 애플리케이션 성능 관리 도구에 관해 알아보시기 바랍니다.
Managing Resources, Security, and Networking in Windows 2025
This course focuses on mastering the management of resources, networking, and security in Windows Server 2025. You will learn how to configure file shares, DFS, and FTP, as well as implement remote access solutions and security hardening techniques to protect your infrastructure. The course also covers managing certificates and Public Key Infrastructure (PKI) to ensure secure server environments. The course will help you develop hands-on expertise in Windows Server 2025 management, including configuring and troubleshooting networking setups, managing remote access, and securing servers through firewall and best practices. Real-world labs and practical examples will provide you with the tools to successfully manage your organization's server environment. What sets this course apart is its hands-on, scenario-driven approach that combines essential theory with actionable skills. You'll walk through real-world scenarios that IT professionals face, giving you a deeper understanding of how to secure and maintain Windows Server 2025 environments. This course is ideal for IT administrators, security professionals, and anyone responsible for managing and securing Windows Server environments. A basic understanding of server management is recommended but not required. This course is part two 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.
Excel: creación de un panel gráfico de control empresarial
Este curso está diseñado para aquellos con un conocimiento intermedio de Excel que necesiten consolidar sus habilidades mediante un proyecto real. El aprendizaje se articula en torno a la creación de un panel de control corporativo, transformando registros comerciales en una herramienta visual de apoyo a la toma de decisiones. A través de un caso práctico guiado, se perfecciona el tratamiento tabular, la implementación de funciones de búsqueda avanzada y la síntesis de información. El objetivo final es dominar las tablas y gráficos dinámicos para presentar resultados con eficiencia, sirviendo como puente perfecto hacia el análisis de datos avanzado.
Mitigate AI Risk and Ensure Ethical Operations
This course provides a structured, practitioner-focused approach to identifying, managing, and governing risks in AI systems across their lifecycle. It equips learners with the tools to move beyond model performance and address real-world concerns such as bias, model degradation, regulatory exposure, and operational accountability. Learners begin by diagnosing bias in datasets and models, applying fairness metrics, and conducting audits that reveal hidden disparities across demographic groups. The course then advances to bias mitigation, where participants explore practical techniques across the model pipeline and learn to navigate trade-offs between fairness and performance. The course expands into production environments, teaching how to design monitoring pipelines that detect data drift, concept drift, and performance degradation before they impact business outcomes. Learners connect these monitoring signals to structured risk evaluation frameworks, translating technical anomalies into enterprise risk language using scoring models, risk registers, and response strategies aligned with standards such as ISO 31000 and COSO ERM. Finally, the course integrates AI systems into broader governance and compliance structures. Participants learn to map AI use cases to regulatory obligations (e.g., GDPR, EU AI Act), build compliance inventories, and design governance dashboards that support audit readiness and executive oversight. By the end of the course, learners will be able to operationalize AI risk management, implement continuous monitoring, prioritize and respond to model risks, and align AI systems with organizational and regulatory expectations.
Google Cloud Customer Care Fundamentals - 繁體中文
Ce cours explique comment profiter au mieux de l'assistance Google Cloud. Vous y découvrirez les différents services d'assistance proposés par Google Cloud Customer Care. Vous apprendrez également à créer et gérer des demandes d'assistance, à consulter les problèmes connus affectant les services Google Cloud et à communiquer efficacement avec les ingénieurs de l'assistance. Vous vous familiariserez avec les différents niveaux de priorité associés aux demandes et les objectifs de niveau de service (SLO). Vous comprendrez mieux les états des demandes d'assistance et saurez comment en escalader une si nécessaire.
NVIDIA: Fundamentals of Machine Learning
NVIDIA: Fundamentals of Machine Learning Course is a foundational course designed to introduce learners to key machine learning concepts and techniques. This course is the first part of the Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs Associate specialization. The course covers fundamental machine learning principles, including supervised and unsupervised learning, model training, evaluation metrics, and optimization techniques. It also provides insights into data preprocessing, feature engineering, and common machine learning algorithms. This course is structured into three modules, each containing Lessons and Video Lectures. Learners will engage with approximately 5:00-6:30 hours of video content, covering both theoretical concepts and hands-on practice. Each module is supplemented with quizzes to assess learners' understanding and reinforce key concepts. Course Modules: Module 1: ML Basics and Data Preprocessing Module 2: Supervised Learning & Model Evaluation Module 3: Unsupervised Learning, Advanced Techniques & GPU Acceleration By the end of this course, a learner will be able to: - Understand the fundamentals of AI, ML, and Deep Learning, and their key differences. - Implement supervised learning techniques like classification and regression. - Apply clustering methods and time series analysis using ARIMA. - Leverage NVIDIA RAPIDS for GPU-accelerated ML workflows. This course is intended for individuals looking to enhance their machine-learning skills, particularly those interested in GPU-accelerated AI workflows and NVIDIA technologies.
Cloud Computing Primer: Infrastructure as a Service (IaaS)
Explore cloud computing basics without installing anything! This course is designed for semi-technical and business learners, providing a solid foundation of cloud computing basics. Learners will build an understanding of how infrastructure as a service (IaaS) works as well. The modules in this course cover cloud computing basics, considerations for IaaS adoption, techniques for IaaS success and growth, as well as provide an exploratory IaaS experience for learners. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and suggested exploration examples, building a deeper understanding by doing. You'll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling answer blocks) to small, approachable exercises that take minutes instead of hours.
Dashboard Customization with Jenkins: Track Health Metrics
In this guided project, you will learn the fundamentals of creating and monitoring health metrics for Jenkins jobs. Through practical hands-on lessons, you'll learn how to create a custom view dashboard and how to configure additional metrics like build success/failure rate, build duration, and test results to appear in the custom view. You'll also learn how to retrieve the health information using Jenkins APIs, how to setup proactive alerts, and how to control user access and permissions to your jobs. We'll apply these skills to create a custom view dashboard with additional metrics for a CI/CD pipeline jobs that compile, test, and deploy a Java application. This project will help aspiring DevOps engineers to understand how to monitor, troubleshoot, and optimize their CI/CD pipeline in Jenkins. To make the most out of this project, it is recommended to be familiar with creating and configuring Jenkins jobs, and understand the different phases of the SDLC.
Learning Cloud Architecture - From Ideas to Practical Design
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 course provides a comprehensive introduction to cloud architecture, focusing on translating concepts into practical, scalable designs. You will gain a deep understanding of foundational cloud design principles, from functional and non-functional requirements to estimation techniques. Throughout the course, you will build hands-on projects, such as creating a URL shortener, web crawler, hotel reservation system, and real-time chat application. Each project delves into core architecture components, algorithms, and storage strategies, preparing you for real-world cloud architecture challenges. The course emphasizes scalability, fault tolerance, security, and cost optimization, ensuring that you’re equipped to design cloud systems that are both efficient and reliable. By the end of this course, you will be able to understand the architecture of large-scale cloud systems, make informed design decisions, and apply best practices for scalability and optimization. This course is ideal for cloud engineers, architects, and anyone looking to deepen their cloud system design knowledge.
Hands-On Labs in Google Cloud for Networking Engineers
This course consists of a series of labs, designed to provide the learner hands-on experience performing a variety of tasks pertaining to setup and maintenance of their Google VPC networks.
Gemini for Network Engineers - Bahasa Indonesia
Dalam kursus ini, Anda akan mempelajari cara Gemini, kolaborator yang didukung AI generatif dari Google Cloud, dalam membantu engineer jaringan membuat, mengupdate, dan memelihara jaringan VPC. Anda akan mempelajari cara memanfaatkan Gemini untuk memberikan panduan spesifik untuk tugas-tugas jaringan Anda, lebih dari yang ditawarkan mesin telusur. Dengan menggunakan lab interaktif, Anda akan melihat cara Gemini dalam mempermudah urusan Anda dengan jaringan VPC Google Cloud. Duet AI berganti nama menjadi Gemini, yang merupakan model generasi berikutnya dari kami.
Linux Fundamentals: Configure, Secure & Manage
Build a strong foundation in Linux system administration by learning how to configure, secure, and manage Linux environments with Red Hat Linux and Fedora. This course takes you from the fundamentals of Linux and open-source software to practical system administration skills used in day-to-day operations. You will explore Linux architecture, system setup, hardware and network preparation, storage configuration, desktop environments, and command-line fundamentals. As you progress, you will learn to manage files, users, permissions, software packages, and shell scripts while developing practical skills in system maintenance, resource monitoring, backups, security, encryption, firewalls, and system updates. You'll also discover how to use online documentation and community resources to troubleshoot and solve Linux challenges effectively. Designed for aspiring system administrators, IT professionals, students, and Linux enthusiasts, this course combines foundational knowledge with practical administration techniques. Each module builds progressively, helping you confidently perform essential Linux administration tasks while strengthening both graphical and command-line proficiency. By the end of the course, you will be able to install and configure Linux systems, manage users and permissions, automate routine tasks with shell scripts, secure systems using password policies, encryption, and firewalls, maintain software and packages, implement backup and recovery strategies, and monitor system resources to keep Linux environments reliable and efficient. If you want to build practical Linux administration skills through a structured, hands-on learning path, this course provides the knowledge needed to confidently configure, secure, and manage Linux systems.
Hands-on with AWS: Software Development Practices
Let’s get you working efficiently in a software development team and shorten the time it takes to get high quality applications to your customers. We start with the theory and benefits of building software with Continuous Integration and Continuous Delivery. Continuous Integration starts with source control. We get you working with AWS CodeCommit, a managed source control service that makes it easier for teams to collaborate on code and with Git repository you learn branching strategies and get hands-on committing bug fixes and writing unit tests. Your commits initiate an AWS CodePipeline pipeline where we can run automated tests for fast code quality feedback. We then use AWS CodeBuild to run tests and package code for deployment. Finally, we use AWS CodeDeploy to automate code deployment. Let’s use your coding skills to automate the process of getting quality code to production infrastructure. This course will provide a combination of video-based lectures, demonstrations and hands-on lab exercises to get you hands-on committing code that flows through a full Continuous Integration and Continuous Delivery pipeline.
Business Intelligence (BI) Essentials
This course provides a comprehensive introduction to business intelligence (BI), its key concepts, components, and the benefits and challenges of implementing BI solutions. It also discusses career opportunities and roles available in the BI arena and the skills and qualifications required. You will also gain insight into the data ecosystem, BI analytics landscape, data repositories, and the extract, transform, and load (ETL) process. Additionally, you will be introduced to the role of statistical analysis in mining and visualizing data to identify patterns and trends and how to weave a compelling story with data. The course offers practical exposure with hands-on activities and a final project that enables you to apply your knowledge in real-world scenarios. This specialized program is tailored for individuals interested in pursuing a career as a BI analyst, and no prior data analytics experience or degree is required to take this course.
Oracle SQL Performance Tuning
This course is designed to provide you with skills needed to improve query performance in Oracle databases. In real-world scenarios, slow report generation and query execution often result from the sheer volume of data. To address this issue, this course covers topics such as Query Compilation and Execution, Indexing, Materialized Views, Common Table Expressions etc. Emphasis is on practical learning with step-by-step demonstrations. Upon completion, you will master SQL-level performance tuning and eliminating query bottlenecks. Our unique approach showcases query execution before and after applying tuning techniques, ensuring a comprehensive grasp of optimization methods. Course Pre-Requisite: You will need to be familiar with Relational Database Management System (RDBMS) concepts and have proficiency in SQL techniques, including joins, subqueries, set operators, GROUP BY and SQL functions. Target Learner: This course is designed for Database Administrators (DBAs), SQL Developers, Application Developers, Data Analysts seeking to enhance their Oracle SQL Performance Tuning skills. What Will You Learn: By the end of this course, you will be able to: • Compose and optimize indexes for enhanced query performance • Evaluate the utilization of indexes within your queries • Understand the factors influencing Query Compilation • Determine and apply appropriate data types for database columns
Foundation to Multi-Cloud
The "Foundation to Multi-Cloud" course is designed to provide a comprehensive understanding of multi-cloud computing principles, benefits, and challenges. It equips you with the knowledge and skills required to effectively manage and utilize multiple cloud platforms simultaneously. This course introduces the concept of multi-cloud, elucidates its advantages and complexities, and delves into various strategies and technologies for implementing and managing multi-cloud environments. Module 1 - What is Multi-Cloud: Module 1 covers the fundamentals of cloud computing, including compute, storage, database, networking, and security. It also explores the distinctions between multi-cloud and hybrid clouds, multi-cloud architecture, and various cloud service providers. You will gain insights into cloud computing basics, differentiate between hybrid and multi-cloud setups, understand multi-cloud architecture, and familiarize themselves with different cloud vendors. Module 2 - Kubernetes and Containers: Module 2 focuses on containerization, container orchestration, container networking, Kubernetes fundamentals, threat modeling, and hands-on activities using Azure Kubernetes Service (AKS). You will acquire knowledge of Kubernetes concepts and container orchestration, networking for containers, and practical experience with AKS. Module 3 - Terraform and Cloud Network: Module 3 introduces Terraform, its use cases, advantages, and hands-on exercises. You will learn how to use Terraform with AWS for VPC management, understand Terraform settings, resources, and providers, and configure Terraform for AWS integration. Target Learner: This course is intended for a diverse audience, including IT professionals, cloud architects, DevOps engineers, business and IT managers, students, and anyone interested in mastering multi-cloud environments. Learner Prerequisites: To be successful in this course, you should have a foundational understanding of Cloud Computing Fundamentals. Prior hands-on experience with major cloud providers like AWS, Azure, Google Cloud, or others is advantageous but not mandatory. Course Duration: This short course should take you only five hours to complete. The course is designed to provide a comprehensive foundation in multi-cloud computing. What You Will Learn: By the end of this course, you will achieve the following learning objectives: 1) Understand the fundamental principles and benefits of multi-cloud computing, including enhanced flexibility, scalability, and resilience. 2) Acquire knowledge of key components and service models in multi-cloud architectures, enabling you to design scalable and interoperable solutions. 3) Explore deployment strategies such as cloud bursting and workload distribution to optimize application performance and meet specific requirements.
Azure Practical - Cognitive Services
Learn how to design, build, and implement intelligent applications using Microsoft Azure Cognitive Services. This hands-on course introduces the core AI services available in Azure and guides you through creating applications that process images, speech, language, documents, videos, and real-time data using cloud-based cognitive APIs. Designed for learners interested in Azure AI development, the course begins with Azure Cognitive Services fundamentals and free-tier account setup before progressing to Computer Vision, Face API, Custom Vision, Form Recognizer, Ink Recognizer, Video Indexer, Speech Services, language understanding, sentiment analysis, translation, entity recognition, QnA Maker, Content Moderator, anomaly detection, Personalizer, and Web Search APIs. Through practical demonstrations and hands-on exercises, you will learn to configure services, invoke REST APIs, train models, analyze responses, and integrate Azure AI capabilities into intelligent applications. What makes this course unique is its comprehensive coverage of Azure Cognitive Services within a structured, application-focused learning path that combines conceptual understanding with practical implementation across multiple AI domains. By the end of the course, you will be able to develop AI-enhanced applications that analyze visual content, process speech and language, extract information from documents, detect anomalies, personalize user experiences, and integrate intelligent search capabilities using Microsoft Azure Cognitive Services.
Splunk Search Expert 102
Take the next step in your knowledge of Splunk. In this course, you will learn how to use time differently based on scenarios, learn commands to help process, manipulate and correlate data.
AI Governance and Privacy Professional Certification (AIGP)
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. Build the knowledge needed to govern AI systems responsibly, manage privacy risks, and prepare for AIGP certification. You will learn how AI systems work, why they create new accountability challenges, and how governance frameworks support trustworthy AI. The course begins with the AIGP exam structure, core AI concepts, machine learning foundations, OECD classification, socio-technical systems, data governance, intellectual property, and third-party AI risk. You will then explore AI harms, responsible AI principles, privacy law requirements, automated decision-making, organizational governance models, stakeholder engagement, risk assessment, and development lifecycle controls. Later modules focus on deployment governance, monitoring, model drift, incident response, agentic AI, vendor oversight, the EU AI Act, global AI laws, GDPR, DPIAs, ISO standards, non-discrimination, consumer protection, and product liability. This intermediate course is ideal for privacy, compliance, legal, risk, security, product, and technology professionals. Basic familiarity with AI, privacy, or governance concepts is helpful. By the end of the course, you will be able to evaluate AI risks, apply responsible AI principles, support governance programs, interpret major AI regulations, and prepare for AIGP-style exam questions.
CISA: Information Systems Auditing
In this course, you'll delve into the fundamental concepts of auditing, gaining a deep understanding of its critical role in enhancing organizational security. You'll learn the art of audit project management, including effective data sampling techniques and the application of industry-standard frameworks. By the end of this course, you'll not only appreciate the importance of audits but also be empowered to help organizations improve their information security practices.
Building No-code Apps using Amazon Honeycode
This course helps you build no-code apps and learn how to create custom business applications on AWS without coding. This course covers app design, workflow automation, and efficient data management using Amazon Honeycode’s easy‑to‑use tools. Throughout this short course, you'll explore the industry-specific applications of Amazon Honeycode and delve into various features and functionalities. By the end of this course, you will be able to: - Describe the characteristics and components of the Honeycode interface. - Design user interfaces, layouts, and interactive elements for applications. - Implement automation logic without coding using Honeycode Builder. - Create web and mobile applications using the no-code visual builder - Collaborate with team members, manage versions, and handle conflicts. This short course is designed for a diverse audience: freshers, database administrators, project managers, business analysts, and IT professionals who are looking to enhance their AWS database skills through Amazon Honeycode. Prior experience with database management or spreadsheet applications can be beneficial when working with Amazon Honeycode. Embark on an educational voyage to master Amazon Honeycode and enhance your skills in creating efficient applications and workflows within the AWS ecosystem.
Networking Fundamentals
Networking Fundamentals offers a comprehensive journey into the foundational aspects of computer networking. Whether you’re a beginner looking to understand networking principles or someone seeking to enhance your technical skills, this course delivers essential knowledge on network structures, addressing schemes, and key technologies. By the end of this course, you will have a solid grasp of the OSI and TCP/IP models, network types, and topologies, setting the stage for advanced networking studies. The course begins with a deep dive into the building blocks of networking, including the OSI and TCP/IP models and encapsulation. You'll explore network topologies and types, gaining insights into real-world implementations like peer-to-peer, client/server, LANs, WANs, and more. You'll also delve into virtualization concepts, service provider links, and the critical differences between copper and fiber cabling technologies. As you progress, you will tackle IP addressing schemes, including IPv4, IPv6, and subnetting. This section equips you with the skills to perform binary conversions, understand classful addressing, and apply subnetting scenarios. You'll also explore the importance of protocols, ports, and network services such as DNS, all while gaining an understanding of datacenter and cloud networking architecture. Designed for aspiring IT professionals, this course is ideal for anyone aiming to pursue a career in networking. No prior knowledge is required, making it suitable for beginners, while intermediate learners can use this as a structured review. By the end, you'll be ready to handle foundational networking tasks with confidence.
Google Cloud SDK: Qwik Start - Redhat/Centos
This is a self-paced lab that takes place in the Google Cloud console. In this hands-on lab you will learn how to perform basic tasks in Cloud Storage using the gsutil command-line tool. For a short preview, watch <A HREF="https://youtu.be/69MdTXgA6Ws"/>Cloud SDK - Essential Command-Line Tools for Google Cloud Platform</A>.
Implementing a Risk Management Framework
The ultimate destination for a security manager is the Chief Information Security Officer (or Chief Security Officer) a senior executive role responsible for all cybersecurity operations in the organization. But how do you get from entry-level IT or security employee to the CISO’s office and what do you need to know when you get there? This course examines the career path and requirements to be an effective CISO, as well as the roles and responsibilities of the position. In this course, a learner will be able to: ● Identify the career development and path of a Cybersecurity professional from entry-level to CISO ● Define and describe the role and function of a CISO in planning for cybersecurity ● Identify the development of a cybersecurity governance program and the role the CISO would play in it ● Discuss the strategic responsibilities of the CISO in overseeing an organization’s cybersecurity program
Google Threat Intelligence - Español
Google Threat Intelligence ofrece una visibilidad inigualable de las amenazas, ya que proporciona inteligencia contra amenazas detallada y oportuna a equipos de seguridad en todo el mundo. En este curso, se abarcan las diversas funciones de Google Threat Intelligence y las maneras comunes en que las organizaciones lo usan para mitigar amenazas proactivamente.
H2O Label Genie Starter Track
Data labeling is one of the most critical and time-consuming steps in any AI or machine learning pipeline, accounting for over 50% of the project lifecycle . In this beginner-friendly course, you will learn how to dramatically accelerate this process using H2O Label Genie, H2O.ai’s intelligent data annotation platform designed to simplify, automate, and scale your labeling workflows. The H2O Label Genie Starter Track equips you with foundational and practical knowledge to start labeling text, image, and audio data using AI-powered tools. Whether you’re a data scientist, ML engineer, analyst, or AI enthusiast, this course provides hands-on guidance on creating and exporting annotations, exploring datasets, and applying advanced techniques such as zero-shot labeling, dataset clustering, and LLM integration for text labeling. Through structured walkthroughs and real-world examples, you’ll gain experience with: • Label Genie’s user interface and annotation workflows • Text summarization and classification • Efficient dataset exploration and task management • Seamless integration with H2O’s ML tools like Driverless AI and LLM Studio By the end of this course, you’ll have the skills and confidence to reduce manual effort, improve data quality, and enhance your AI model performance using H2O Label Genie. Take your first step toward faster, smarter, and AI-assisted data labeling with H2O Label Genie.
Smart Device & Mobile Emerging Technologies
Every day you use your smartphone. Your smartphone wakes you up, it is the first thing you use in the morning, and the last thing you check (e.g., alarm setting) before you sleep. In addition, you use it all day. A typical cellphone user touches their mobile phone 2,617 times a day (Dscout report based on 2017) and people spend over 4 hours a day on their mobile phones (Hackernoon report) on average. Smartphones and smart watches are very useful and will become even more useful due to their smaller sizes, lighter weights, versatile functionalities, advanced mobile communications & wireless networking (e.g., Wi-Fi & Bluetooth) technologies. In this course, the start-of-the-art smartphone and smart watch technology and components in addition to the global market trends and future forecasts are introduced. Since everybody uses smartphones and smart watches, knowing the details about the most globally used electronic device will definitely help you in all aspects of new product and app design & development, as well as business planning. In addition, the core technology and components of the world’s most popular smartphones (i.e., the Samsung Galaxy Note8 and Apple iPhone X) and smart watches (i.e., Samsung Gear S3 and the Apple Watch Series 3) are introduced along with details of the iOS and Android smartphone OSs (Operating Systems) and mobile communications 1G to 5G (for details on Wi-Fi and Bluetooth, please take my course “IoT Wireless & Cloud Emerging Technology”). This course ends with projects that teach how to analyze the components of smartphones and check the mobile network. Consequently, this course will prepare you to be more successful in businesses strategic planning in the upcoming smart device era. I cordially welcome you in to the amazing internal dynamics of the smart device world!
Deployment with Cloud Foundry: Blue-Green Strategy
Within this 1-hour long guided project you will learn how to scalably deploy a fullstack web application using blue-green deployment strategy using Cloud Foundry. Blue-green deployment simplifies zero-downtime deployment and you decide when to roll out after co-existing old version and the new feature version of your system. You will perform a blue-green deployment of a new feature of a video streaming platform using Cloud Foundry. You will learn how to create an app manifest in Cloud Foundry, bind it to a service, deploying a containerized application using blue-green strategy. Avoid stressful and uncomfortable downtimes of your cloud applications deployment and let the developers focus on new feature development rather than complex deployment strategies to minimize risks. All this is possible with platform as a service (PaaS) CloudFoundry. The course is aimed to provide a thorough understanding of deploying, managing, and scaling cloud-native applications, allowing engineers to reinforce their knowledge and skills in DevOps practices. No prior experience with Cloud Foundry is required. You only need front-end and back-end project deployment experience, hands-on with Docker containers and basic HTML and Javascript understanding
Red Hat AI Inference Technical Overview
Gain essential insights into AI deployment with this Red Hat AI Inference technical overview. Learn how to address the complexities and costs of running AI models in production. Discover how Red Hat's solution, powered by vLLM, optimizes performance and delivers significant cost savings across cloud, on-premise, virtualized, and edge environments. Dive into advanced techniques like quantization and speculative decoding to enhance your AI inference capabilities. This course demonstrates seamless model deployment and management within OpenShift AI, showcasing how you can achieve unparalleled efficiency and flexibility for your AI workloads.
Microsoft on AWS - Porting Assistant for .NET
Porting applications from .NET Framework to .NET can be a significant manual effort. The process includes spending valuable time identifying the dependencies and APIs that are incompatible with .NET, and estimating the level of effort involved to remediate. Porting Assistant for .NET is an analysis tool that helps you port your applications to Linux faster. Additionally, porting .NET Framework applications to .NET lets you take advantage of the performance, cost savings, and robust ecosystem of Linux. Porting Assistant for .NET quickly scans .NET Framework applications to identify incompatibilities with .NET, finds known replacements, and generates a detailed compatibility assessment. This reduces the manual effort involved in modernizing your applications to Linux. As you progress through this course, you will relate the concepts that you are learning about to a real-world scenario use case. For illustration purposes, we will refer to the company in this use case as AnyCompany.
Einführung in Sicherheitskonzepte in der Welt der KI
Künstliche Intelligenz (KI) bietet revolutionäre Möglichkeiten, geht aber auch mit neuen Sicherheitsherausforderungen einher. In diesem Kurs lernen Führungskräfte im Bereich Sicherheit und Datenschutz Strategien für den sicheren Umgang mit KI in ihren Unternehmen kennen. Es wird ein Framework für das proaktive Erkennen und Mindern KI-spezifischer Risiken, den Schutz sensibler Daten, das Einhalten rechtlicher Vorgaben und den Aufbau einer robusten KI-Infrastruktur vorgestellt. Anhand von Anwendungsfällen aus vier verschiedenen Branchen wird gezeigt, wie sich diese Strategien auf reale Szenarien anwenden lassen.
Google Drive en Español
Google Drive es el servicio de almacenamiento de archivos de Google basado en la nube. Con Google Drive, puede guardar todo su trabajo en un lugar, ver diferentes formatos de archivos sin tener que usar software adicional y acceder a sus archivos desde cualquier dispositivo. En este curso, aprenderá a navegar por Google Drive. Aprenderá a subir archivos y carpetas y a trabajar con varios tipos de archivos. También aprenderá a ver, organizar, modificar y quitar archivos con facilidad en Google Drive. Google Drive incluye unidades compartidas. Puede usarlas para almacenar y buscar archivos y acceder a estos junto con un equipo de trabajo. Aprenderá a crear una nueva unidad compartida, a agregar y administrar miembros y a administrar el contenido de la unidad compartida. Google Workspace es sinónimo de colaboración y uso compartido. Explorará las opciones de uso compartido disponibles en Google Drive y aprenderá sobre las diversas funciones y permisos de colaborador que se pueden asignar. También aprenderá a garantizar la coherencia y ahorrar tiempo con las plantillas. Google Drive cuenta con varias herramientas y opciones disponibles. En este curso, analizaremos algunas de estas opciones, que incluyen cómo trabajar sin conexión, cómo usar Drive File Stream y cómo instalar aplicaciones desde Google Workspace Marketplace.
Certified Kubernetes Security Specialist (CKS): Unit 6
This course teaches you how to defend your Kubernetes environments against supply chain threats. You’ll secure image registries, enforce image signing, and set up access controls. Learn to use tools like KubeLinter and KubeSec for static analysis, reduce base image size, and scan for vulnerabilities with Trivy. Automate security policies using Trivy Operator and Kyverno. By course end, you’ll be able to secure your software supply chain and maintain a safe Kubernetes infrastructure.
AI and Data Centers: Driving Global Decarbonization
By the end of this course, you will be able to explain how data centers power AI‑driven decarbonization across the global economy and why sustainable digital infrastructure is foundational to achieving net‑zero goals. You will learn how AI, enabled by cloud and edge data centers, supports clean energy grids, optimizes buildings and manufacturing operations, and accelerates electrified, efficient transportation systems. Through five beginner‑friendly modules, the course explores real‑world examples of how predictive analytics, digital twins, automation, and smart energy management reduce emissions while improving resilience, efficiency, and reliability. You will gain a cross‑sector understanding of how AI relies on data centers to manage renewable energy, balance supply and demand, optimize EV charging and mobility, and modernize industrial and building operations, without requiring advanced technical knowledge. This course is designed for learners who want to understand how AI‑enabled data centers and digital infrastructure support decarbonization across major sectors of the economy. It is most relevant for data center, IT, and digital infrastructure professionals; energy and power‑sector practitioners; and sustainability or technology leaders working at the intersection of AI, electrification, and infrastructure. The course is also valuable for consultants, policy professionals, and students seeking a systems‑level view of how AI operates at scale - inside data centers, at the edge, and across connected industries - to enable real‑world emissions reduction.
Manage Agent Memory and State
You've built basic LLM agents that respond to queries—now let's make them stateful. Use session state to build agents that maintain context, remember user preferences, and provide personalized experiences. Transform agents from stateless responders to intelligent assistants.
Mastering Privacy Laws and Legal Frameworks
This course delves into the essential privacy laws and legal frameworks that govern data protection, offering professionals a critical understanding of privacy in today's digital world. As privacy issues grow, understanding the evolving legal landscape is crucial for compliance and safeguarding data. Through this course, you will strengthen your ability to analyze key privacy regulations and learn how to apply them in real-world settings. You'll gain practical skills that help navigate legal complexities in various sectors, making you an asset to any organization concerned with data privacy. What sets this course apart is its blend of theory and real-world application. You'll explore privacy laws, understand their enforcement mechanisms, and grasp the legal implications in various industries, ensuring you're prepared to address privacy challenges effectively. This course is ideal for data protection officers, legal professionals, and anyone responsible for privacy compliance. No prior legal background is required, though familiarity with privacy concepts will be beneficial. 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. From IAPP CIPP / US Certified Information Privacy Professional Study Guide Copyright @ 2021 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.
Cybersecurity Identity and Access Solutions using Azure AD
Upon completing the first three courses of the Professional Certificate, you should have some foundational knowledge about computers, operating systems, networking, and cyberthreats, all of which put you in a good position to explore cybersecurity in greater detail. In this course, you’ll explore the world of authorization and authentication, and understand the concepts of two-step authentication and single sign-on policies. You’ll also become familiar with the features and capabilities of Azure Active Directory (Azure AD), particularly those relating to the benefits of using Azure AD to manage an enterprise’s security requirements including access management, identity governance, and management. This course will take you one step closer to the Microsoft Cybersecurity Analyst Professional Certificate, which requires no degree or prior experience. After completing this course, you’ll be able to: • Explain the concept of Active Directory • Describe Authentication methods • Discuss access management This is also a great way to prepare for the Microsoft SC-900 exam. By passing the SC-900 exam, you’ll earn the Microsoft Security, Compliance, and Identity Fundamentals Certification.
Búsqueda de vectores y embeddings
En este curso, se presenta la búsqueda de vectores de Vertex AI y se describe cómo puede usarse para compilar una aplicación de búsqueda con APIs de modelo de lenguaje grande (LLM) para embeddings. Este curso se compone de lecciones conceptuales sobre la búsqueda de vectores y las embeddings de texto, demostraciones prácticas para compilar una búsqueda de vectores en Vertex AI y un lab práctico.
Optimizing, Deploying, and Governing LLMs in the Enterprise
Master strategies for data management, deployment, monitoring, and responsible AI in large language model operations. Stay ahead with insights into emerging trends and multimodal applications in enterprise environments. This course equips learners with advanced skills for managing the full lifecycle of LLMs in production, from crafting effective data strategies and optimizing inferencing to deploying at scale and ensuring robust monitoring. Learners will explore best practices for responsible AI, addressing ethical and regulatory considerations while exploring the latest trends in multimodal LLMs. By the end of the course, learners will be prepared to lead enterprise LLM initiatives with a focus on performance, compliance, and innovation. The course takes learners through real-world case studies, videos, and knowledge checks to gain practical expertise in deploying, optimizing, and governing LLMs. These materials foster a forward-looking perspective, enabling professionals to navigate the evolving landscape of enterprise AI. With a structured approach, you'll master everything from the data blueprint to managing the deployment and monitoring of models in production. Designed for professionals in AI, data science, and enterprise technology, the course is perfect for those who want to gain expertise in deploying LLMs at scale. Ideal for enterprise leaders, AI practitioners, and developers, the course is suitable for learners with some experience in AI or data science. This course is part three 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. By the end of the course, you will be able to manage LLM lifecycles effectively, deploy models at scale, optimize inferencing, monitor LLMs in production, implement responsible AI practices, and stay ahead of emerging trends.
Advanced ITSM with ServiceNow: Optimizing IT Operations
This course is designed for IT professionals who want to build an understanding of how ServiceNow’s IT Service Management (ITSM) capabilities enable advanced ITSM aligned with ITIL best practices. The course bridges theory and practice, teaching you not only how to use ServiceNow but also how to apply it effectively to improve IT operations, increase service quality, and support digital transformation. The topics covered in this course include managing incidents, problems, service requests, and knowledge management, as well as leveraging change management and the configuration management database to control your IT environment. ServiceNow workflows and customizations are also introduced. ServiceNow skills are in high demand, and the demand is growing. By mastering ITSM on this powerful platform, you’ll position yourself as a valuable asset to any organization seeking to streamline service delivery, reduce downtime, and improve user satisfaction. This course offers real-world use cases, ServiceNow demos, and hands-on exercises that make the concepts come alive. This course is ideal for IT Operations Managers, IT Professionals, Service Desk Staff, and ITSM Consultants who are looking to enhance their skills in IT service management using the ServiceNow platform. Whether you're managing service delivery or supporting IT operations, this course provides practical insights to improve efficiency and drive digital transformation. No prior experience with ServiceNow is required. A basic understanding of ITSM concepts—such as incidents, changes, and service requests—as well as familiarity with general IT workflows and ITIL Foundation, will help you engage more effectively with the course content. It is designed for beginners who want hands-on experience. By the end of this course, learners will be able to design ITSM frameworks aligned with ITIL best practices, manage core service operations such as incidents and requests, and leverage Change Management and CMDB for service optimization. Additionally, they will be equipped to evaluate and apply customization, automation, and integration features within ServiceNow to meet diverse organizational needs.
Core 2: OS, Software, Security and Operational Procedures
Skill up for the CompTIA Core 2 Certification exam! This course gives aspiring IT support professionals, helpdesk professionals, and system administrators essential skills for this career-launching certification and a job in IT support, networking, and system management. During this course, you’ll explore key operating systems (OS), including Microsoft Windows, Apple macOS, Linux, and cloud-based platforms. You’ll learn how to install, update, and manage IT systems while mastering their unique features and functionalities. Plus, you’ll look at IT support best practices, and how to diagnose and troubleshoot common PC and mobile issues, address malware threats, and configure system security. You’ll also explore full-disk encryption methods, vulnerabilities, firewall settings, data backup and recovery, remote access management, and privacy policy essentials. You’ll gain insights into AI for public and private usage in OS. Plus, you’ll get hands-on experience using real-world tools, from command-line utilities to firewall settings and SOHO router security. Enroll today to strengthen your resume and take the next step toward the CompTIA Core 2 certification exam!
Linux for Beginners
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 beginner-friendly course introduces you to the basics of Linux. You'll gain knowledge on how Linux differs from other operating systems, how to choose the right distribution, and how to install essential software. The course begins with an overview of Linux, followed by a deep dive into what Linux is and why it’s a popular choice among developers and businesses. You'll explore the different Linux distributions, helping you make an informed decision on which one fits your needs best. The journey then progresses to understanding the various desktop environments and selecting one that suits your preferences. In the final sections, you'll learn about installing and managing software on Linux. These skills are crucial for ensuring your system runs smoothly and efficiently. The course is designed with practical exercises that reinforce what you've learned at each step. This course is perfect for beginners with no prior experience in Linux or those who want to improve their basic understanding. No prerequisites are required, and the difficulty level is beginner, making it accessible to anyone interested in learning how to navigate the Linux environment.
Content & Knowledge Management
In this course, you will learn how to create, organize, and maintain documentation that teams can find and trust. You will explore knowledge sharing, polished page creation, meeting notes, taxonomy design, content organization, template customization, and documentation review. You will use Confluence to share pages, structure content, document meetings, and build systems that improve findability and consistency. You will also examine how labels, hierarchies, and templates support content lifecycle management and how documentation can be reviewed and updated for accuracy and relevance. Through the included project-based work, you will apply these skills to the creation of a knowledge base. This course focuses on building maintainable documentation systems and improving the quality, structure, and usability of content in Confluence environments.
Compute Engine: Qwik Start - Windows
This is a self-paced lab that takes place in the Google Cloud console. Google Compute Engine lets you create and run virtual machines on Google infrastructure. In this lab you create a Windows Server instance in the Google Compute Engine and access it with RDP. Watch a short preview, Launch a Windows Server Instance, GCP Essentials.
Introduction to Networking and Storage
Keen to kickstart your IT career with networking and storage skills employers need? This beginner course introduces essential IT concepts to help you diagnose and support modern systems. During this course, you’ll explore networking fundamentals such as cables, topologies, network types, and communication models and learn how data travels across wired and wireless connections using protocols and standards. You’ll dive into Wi-Fi, exploring SSID configuration, access point setup, security evolution from WEP to WPA3, and Wi-Fi 6 (802.11ax) features such as frequency bands and channel planning. Plus, you’ll look at NFC (near-field communication) concepts and practical applications. Next, you’ll get hands-on with device configuration and the command-line tools used to troubleshoot connectivity issues in Windows environments. You’ll look at storage essentials, exploring memory , local versus cloud options, and file, block, and object storage. Plus, you’ll learn how to select storage solutions for different networking scenarios while examining NVMe performance factors, including PCIe generations and thermal management. Enroll now to build IT skills in networking and storage employers need!
Aggregate Data in SQL using MySQL Workbench
In this project you will use MySQL Workbench to write SQL queries that aggregate (group) data. Incorporating aggregate functions like COUNT, SUM, and AVG, your SQL queries will group and summarize data. Data that is aggregated and presented in a logical format makes it a more valuable decision-making tool for users. 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.
System Design 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. In this masterclass, you'll learn how to design large-scale systems used by top companies like Instagram, WhatsApp, and YouTube. You'll master system design principles, including defining requirements, estimating capacity, and creating scalable, reliable architectures. Through case studies and hands-on exercises, you'll develop a repeatable framework for approaching system design challenges, from API design to database selection. You'll explore how to estimate storage, memory, throughput, and bandwidth, and design APIs for key actions like posting, liking, and messaging. The course will guide you through real-world scenarios, helping you make critical design decisions and ensuring your solutions are scalable, fault-tolerant, and efficient. This course is ideal for experienced engineers, system architects, or developers with strong understanding of software architecture, and familiarity with cloud computing and databases. By the end, you’ll be prepared to confidently design high-traffic, reliable systems and tackle system design interviews.