Enroll Course: https://www.udemy.com/course/bootcamp-de-devops-a-mlops-transicion-hacia-la-ingenieria-p/
In today’s rapidly evolving tech landscape, the integration of AI and machine learning into applications has become paramount. If you’re a DevOps engineer or an infrastructure professional looking to transition into the exciting field of MLOps, the Bootcamp MLOps: CI/CD para Modelos course on Udemy is an excellent choice.
Translated from English to Spanish with the assistance of AI, this course offers a practical approach to understanding MLOps. What sets this bootcamp apart is its focus on real-world applications, specifically through a case study on housing price prediction. This hands-on experience will take you from data processing to deployment in production using Kubernetes, providing a comprehensive view of the MLOps lifecycle.
You will begin by setting up your environment using Docker and MLFlow for experiment tracking. This foundational knowledge is crucial as it allows you to grasp the machine learning lifecycle thoroughly. The course ensures you gain hands-on experience in data engineering, feature engineering, and model experimentation using Jupyter notebooks.
One of the highlights of the course is the packaging of your model with FastAPI and deploying it alongside a user interface built with Streamlit. This practical experience is invaluable as it simulates real-world scenarios you might face in the industry.
The course also dives into automating your ML pipeline with GitHub Actions, utilizing DockerHub to publish your model containers. As you progress, you will learn to build scalable inference infrastructure with Kubernetes, expose services, and connect front-end and back-end interfaces through service discovery.
Monitoring your deployments is crucial, and this course covers how to do so effectively with Prometheus and Grafana dashboards. Finally, you will explore continuous delivery based on GitOps using ArgoCD to manage and deploy changes in your Kubernetes cluster cleanly and automatically.
By the end of this course, you’ll be well-equipped to operate and automate machine learning workflows using DevOps practices, making you a strong candidate for professional roles in MLOps and AI Platform Engineering.
In conclusion, the Bootcamp MLOps: CI/CD para Modelos course is a must for anyone serious about advancing their career in the growing field of MLOps. It combines theoretical knowledge with practical application, ensuring that you not only learn but also apply what you’ve learned in a real-world context. I highly recommend it to anyone looking to enhance their skills in this dynamic area of technology.
Enroll Course: https://www.udemy.com/course/bootcamp-de-devops-a-mlops-transicion-hacia-la-ingenieria-p/