IT & Software100% OFF

Windows 10 y Linux Debian 10

Udemy Instructor

0(1.3K students)

Self-paced

All Levels

About this course

Linux y Windows son 2 sistemas operativos GIGANTES en el mundo del TI, Linux es de más rápido crecimiento en el mundo y cada vez son más las personas que como tú desean aprender de el, y su supremacía en Servidores es indudable, mientras tanto Windows es el Gigante de los escritorios, y aquí te voy a enseñar sobre estos 2 impresionantes Sistemas Operativos. Seamos honestos; Los libros técnicos son aburridos, y muchas veces puedes tardar horas buscando en internet lo que verdaderamente te interesa de Linux. Claro, podrías aprender como trabajar con Linux de alguna enciclopedia de larga duración, pero ¿por qué perder todo ese tiempo y esfuerzo?

El sistema de entrega de contenido de videos de Udemy te permitirá operar tú propio Sistema Operativo Linux en solo horas! Si deseas aumentar tus habilidades de TI, este curso es un gran lugar para empezar. Cada vez más empresas alrededor del mundo, están utilizando Linux en sus operaciones cotidianas.

Por lo tanto, no te puedes dar el lujo de quedarte atrás! Todas las actualizaciones del curso son 100% GRATIS. Inscribete en este curso una vez y lo poseeras para toda la vida.

No sólo eso, sino que también obtendrá acceso de por vida para mí como tú instructor personal. ¿Tienes alguna pregunta sobre Linux? ¡Solo pregunta!

Tú, como mi estudiante, siempre seras mi prioridad # 1. Espera, ¿sigues leyendo esto ? Entonces este curso es para ti que deseas comenzar hoy mismo a aprender sobre Linux y sus bondades.

Te espero!

Skills you'll gain

Other IT & SoftwareSpanish

Available Coupons

Course Information

Level: All Levels

Suitable for learners at this level

Duration: Self-paced

Total course content

Instructor: Udemy Instructor

Expert course creator

This course includes:

📹Video lectures
📄Downloadable resources
📱Mobile & desktop access
🎓Certificate of completion
♾️Lifetime access

$0$95.99

Save $95.99 today!

Enroll Now - Free

Redirects to Udemy • Limited free enrollments

Share this course

https://freecourse.io/courses/windows-linux-10

This course contains the use of artificial intelligence.Build practical cloud skills through a structured, hands-on journey in 100 Days of AWS: From Cloud Basics to Real-World Mastery. This comprehensive course is designed to help beginners, developers, system administrators, DevOps engineers, and technology professionals learn Amazon Web Services step by step while building real-world cloud solutions.You will begin with essential AWS fundamentals, including regions, Availability Zones, the AWS Free Tier, billing alerts, account security, and the AWS Well-Architected Framework. You will then gain hands-on experience with core AWS services such as Amazon EC2, Amazon S3, Elastic Block Store, Virtual Private Cloud, Elastic Load Balancing, Auto Scaling, CloudWatch, IAM, Lambda, API Gateway, DynamoDB, and Amazon RDS.As the course progresses, you will move beyond basic cloud administration and learn how to design secure, scalable, reliable, and cost-effective cloud environments. You will explore serverless computing, event-driven architectures, messaging systems, infrastructure automation, databases, content delivery, monitoring, and application deployment. Services such as AWS Step Functions, EventBridge, CloudFront, Route 53, CloudFormation, AWS SAM, CodePipeline, CodeBuild, Systems Manager, and Secrets Manager are covered through practical exercises.The course also introduces modern DevOps and container technologies on AWS. You will work with Amazon ECS, AWS Fargate, Amazon ECR, and Amazon EKS while learning container orchestration, image management, load balancing, service discovery, autoscaling, GitOps, Helm, Argo CD, and CI/CD automation.Security and governance are integrated throughout the learning journey. You will explore AWS IAM, KMS encryption, AWS Organizations, Service Control Policies, Control Tower, Security Hub, GuardDuty, Inspector, Macie, WAF, and AWS Shield. You will also learn enterprise cloud patterns involving multi-account environments, centralized logging, compliance monitoring, disaster recovery, hybrid networking, and cloud migration.For learners interested in data and artificial intelligence, the course covers AWS Glue, Athena, Redshift, Kinesis, Amazon MSK, OpenSearch, EMR, Lake Formation, QuickSight, Amazon SageMaker, and Amazon Bedrock. You will create data pipelines, governed data lakes, analytics dashboards, machine learning workflows, and generative AI applications using AWS-managed services.During the final 20 days, you will complete multiple portfolio-ready AWS projects. These include a serverless web application, containerized microservices on ECS Fargate, an enterprise data lake and analytics platform, and an EKS application managed through GitOps. Each project emphasizes architecture decisions, security, monitoring, automation, scalability, reliability, and cost optimization.The course concludes with AWS interview preparation, scenario-based architecture exercises, certification blueprint mapping, mock exams, personal cheat sheets, and a final capstone presentation. By the end, you will be prepared to build real-world AWS solutions, strengthen your cloud portfolio, prepare for AWS certifications, and confidently discuss cloud architecture during technical interviews.

Big Data Engineering Mastery: Spark, Hadoop & Data Lakes

Udemy Instructor

Processing a gigabyte of data on a laptop is easy; processing a petabyte of streaming IoT data across a 100-node cluster is an entirely different profession. Welcome to the Big Data Engineering Mastery assessments! This course provides you with 200 expert-level practice questions designed to simulate the rigorous architectural and performance challenges faced by Data Engineers at top-tier tech companies.Across these four comprehensive practice exams, you will be tested on the mechanics of distributed computing. You will evaluate how to optimize Apache Spark jobs, when to implement bucketing versus partitioning, and how to resolve fatal memory errors caused by severe data skew. The questions plunge you into realistic engineering scenarios—from managing continuous supply chain inventory streams to designing financial transaction data lakes with Delta Lake.Every single question in this course is unique and includes a detailed explanation of the "why" behind the distributed architecture. By reviewing these explanations, you will learn the industry-standard methods for avoiding shuffles, applying Z-Ordering, and scaling metadata. If you are preparing for a senior Data Engineering interview or looking to validate your Big Data expertise, this is the ultimate testing ground. Enroll today and master the pipeline!Course locale: English (US)Course instructional level: Expert LevelCourse category: IT & SoftwareCourse subcategory: Data Engineering

Generative AI, LLMs & Prompt Engineering Mastery Tests

Udemy Instructor

Generative AI has fundamentally reshaped the tech landscape, moving from a niche research field to the core of modern software engineering. It is no longer enough to just know how to write a basic prompt into a web interface; today's tech industry requires developers and data professionals who can architect, deploy, and scale robust AI applications using Large Language Models (LLMs). This course provides you with 200 meticulously designed, expert-level practice questions to test your readiness for this new era of technology.Across these four highly challenging assessment sets, you will be placed in realistic engineering scenarios. You will test your ability to build sophisticated Retrieval-Augmented Generation (RAG) pipelines, integrating frameworks like LangChain and LlamaIndex with Vector Databases to create enterprise-grade knowledge assistants. The questions will push you to evaluate complex trade-offs: When should you use Few-Shot Prompting versus full model Fine-Tuning? How do you adjust temperature parameters to prevent hallucinations in a medical legal summarization tool? How do you protect a customer-facing chatbot from malicious prompt injections?Every single question in this course is unique and comes with a detailed, in-depth explanation. Regardless of whether you select the correct answer on your first try, reviewing the explanations will teach you the industry-standard architectural best practices for utilizing the OpenAI API, Hugging Face Transformers, and autonomous AI agents. If you are preparing for a technical interview in AI engineering, or simply want to certify that your skills meet current generation requirements, this is your ultimate testing ground. Enroll today and master the architecture of Generative AI!Course locale: English (US)Course instructional level: Expert LevelCourse category: IT & SoftwareCourse subcategory: Data Science

0.0•378•Self-paced

FREE$91.99

Enroll

Windows 10 y Linux Debian 10

About this course

Skills you'll gain

Available Coupons

Course Information

This course includes:

Share this course

You May Also Like

100 Days of AWS: From Cloud Basics to Real-World Mastery

Big Data Engineering Mastery: Spark, Hadoop & Data Lakes

Generative AI, LLMs & Prompt Engineering Mastery Tests

Windows 10 y Linux Debian 10

About this course

Skills you'll gain

Available Coupons

Course Information

This course includes:

Share this course

You May Also Like

100 Days of AWS: From Cloud Basics to Real-World Mastery

Big Data Engineering Mastery: Spark, Hadoop & Data Lakes

Generative AI, LLMs & Prompt Engineering Mastery Tests