Bootcamp Definitivo de EKS por School of DevOps
IT & Software100% OFF

Bootcamp Definitivo de EKS por School of DevOps

Udemy Instructor
0(912 students)
Self-paced
All Levels

About this course

Aprende Amazon EKS de la manera correcta: desde los fundamentos hasta el escalado automático y el monitoreo avanzados.Este curso está diseñado para Ingenieros DevOps, Arquitectos de Nube y practicantes de Kubernetes que quieran ejecutar cargas de trabajo en producción con Amazon Elastic Kubernetes Service (EKS) con confianza.Comenzaremos con un enfoque práctico y basado en laboratorios — sin teoría interminable. Iniciarás configurando tu entorno de AWS y Kubernetes, luego avanzarás desplegando cargas de trabajo, gestionando redes con ALB Ingress, habilitando almacenamiento persistente y asegurando el acceso con IAM Roles for Service Accounts (IRSA).A partir de ahí, abordaremos estrategias de escalado: Cluster Autoscaler de EKS, Horizontal Pod Autoscaler (HPA), Vertical Pod Autoscaler (VPA) y soluciones avanzadas como Karpenter para aprovisionamiento de nodos en tiempo real, y KEDA para escalado basado en eventos.Finalmente, cubriremos la observabilidad en EKS con logging, métricas y tableros, para que mantengas tus clústeres saludables y optimizados en costos.Al finalizar este bootcamp, tendrás un conjunto de habilidades de EKS listas para producción — preparado para construir, escalar y monitorear cargas de trabajo de Kubernetes en AWS.Lo que aprenderásConfigurar y desplegar clústeres de Amazon EKS desde ceroDesplegar aplicaciones en EKS usando kubectl y manifestsConfigurar Ingress con el controlador AWS ALB IngressAdjuntar volúmenes persistentes de EBS para cargas de trabajo con estadoAsegurar cargas de trabajo usando IAM Roles for Service Accounts (IRSA)Implementar Cluster Autoscaler de EKS para escalado de nodosAplicar Horizontal Pod Autoscaler (HPA) y Vertical Pod Autoscaler (VPA) para escalado de cargas de trabajoUsar Karpenter para escalado de clústeres de nueva generaciónImplementar KEDA para escenarios de escalado automático basado en eventosMonitorear y resolver problemas en clústeres de EKS usando Prometheus, Grafana y CloudWatchOptimizar costos y rendimiento de cargas de trabajo de Kubernetes en AWS

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$98.99

Save $98.99 today!

Enroll Now - Free

Redirects to Udemy • Limited free enrollments

You May Also Like

Explore more courses similar to this one

Mastering LLM Evaluation: Build Reliable Scalable AI Systems
IT & Software
898 left

Mastering LLM Evaluation: Build Reliable Scalable AI Systems

Udemy Instructor

Unlock the power of LLM evaluation and build AI applications that are not only intelligent—but also reliable, efficient, and cost-effective. This comprehensive course teaches you how to evaluate large language model outputs across the entire development lifecycle—from prototype to production. Whether you're an AI engineer, product manager, or ML ops specialist, this program gives you the tools to drive real impact with LLM-driven systems.Modern LLM applications are powerful, but they're also prone to hallucinations, inconsistencies, and unexpected behavior. That’s why evaluation is not a nice-to-have—it's the backbone of any scalable AI product. In this hands-on course, you'll learn how to design, implement, and operationalize robust evaluation frameworks for LLMs. We’ll walk you through common failure modes, annotation strategies, synthetic data generation, and how to create automated evaluation pipelines. You’ll also master error analysis, observability instrumentation, and cost optimization through smart routing and monitoring.What sets this course apart is its focus on practical labs, real-world tools, and enterprise-ready templates. You won’t just learn the theory of evaluation—you’ll build test suites for RAG systems, multi-modal agents, and multi-step LLM pipelines. You’ll explore how to monitor models in production using CI/CD gates, A/B testing, and safety guardrails. You’ll also implement human-in-the-loop (HITL) evaluation and continuous feedback loops that keep your system learning and improving over time.You’ll gain skills in annotation taxonomy, inter-annotator agreement, and how to build collaborative evaluation workflows across teams. We’ll even show you how to tie evaluation metrics back to business KPIs like CSAT, conversion rates, or time-to-resolution—so you can measure not just model performance, but actual ROI.As AI becomes mission-critical in every industry, the ability to run scalable, automated, and cost-efficient LLM evaluations will be your edge. By the end of this course, you’ll be equipped to design high-quality evaluation workflows, troubleshoot LLM failures, and deploy production-grade monitoring systems that align with your company’s risk tolerance, quality thresholds, and cost constraints.This course is perfect for:AI engineers building or maintaining LLM-based systemsProduct managers responsible for AI quality and safetyMLOps and platform teams looking to scale evaluation processesData scientists focused on AI reliability and error analysisJoin now and learn how to build trustable, measurable, and scalable LLM applications—from the inside out.

0.02.7KSelf-paced
FREE$85.99
Enroll
Master in Generative AI (Artificial Intelligence)
IT & Software
1.0K left

Master in Generative AI (Artificial Intelligence)

Udemy Instructor

Want to become a Master in Generative AI but don’t know what to do and how?Take a look at this course where you willNot only learn about the Generative AI in depth interactively with a lot of examples including Gen AI Model Types, Designing, Training, Optimizing, Integrating and Deploying but alsoTelling you how can you master them to become an Excellent Generative AI EngineerPreview many lectures for free to see the content for yourselfClear your doubts on this topic any time while doing the courseGet Udemy’s 30 days Money Back GuaranteeMy first exposure to Generative happened with the advent of ChatGPT in 2022 once I got into making online courses on Udemy in 2021Initially I used ChatGPT to supplement my knowledge on the variety of subjects. I also came across other Gen AI Models to meet the growing demand of visualization in my Udemy CoursesOver last three years I have used these Generative AI Models very actively in all walks of life and that has made me learn how they do what they doI bring in this course my learnings from this journey and share with you how can you also Master Generative AIPreview for yourself many lectures free. If you like the content, enroll for the course, enjoy and skill yourself to become a Master in Generative AI If don't like the content, please message about how can we modify it to meet your expectations.Please remember that this course comes with Udemy’s 30 days Money Back Guarantee

0.07.7KSelf-paced
FREE$81.99
Enroll