Production Deployment

Design, build, and operate scalable and reliable Kubernetes infrastructure for production

Build a Scalable and Secure, Deep Learning Image Classifier with SageMaker, Next.js, Node.js, MongoDB & DigitalOcean

This book describes deep learning systems: the algorithms, compilers, and processor components to efficiently train and deploy deep learning models for commercial applications.
The exponential growth in computational power is slowing at a time when the amount of compute consumed by state-of-the-art deep learning (DL) workloads is rapidly growing. Model size, serving latency, and power constraints are a significant challenge in the deployment of DL models for many applications. Therefore, it is imperative to codesign algorithms, compilers, and hardware to accelerate advances in this field with holistic system-level and algorithm solutions that improve performance, power, and efficiency.

Configurer un serveur dédié avec Apache, Mysql, Php et GIT pour déployer Symfony 5 en production

Spring security, JWT, Retrofit, Heroku Cloud Deployment via Github, PostgreSQL, H2-Database, Hibernate, Lombok

Go is one of the most powerful, efficient, and highly performant programming languages. This video course teaches you how to deploy a full-stack Go application to a cloud-based production environment.

Learn how to integrate robust and reliable Machine Learning Pipelines in Production