This course will teach you how to implement and manage Citrix Gateway on Citrix ADC. Course topics include architecture, system requirements, and user experience options as well as basic and advanced configuration.

This course will teach you how to deploy code to servers, Lambda, and the ECS Service using AWS CodeDeploy. You will cover access and permissions, deployment configurations, tagging, monitoring, and managing the CodeDeploy Agent on the server.

There are a gazillion ways to run containers. This course will teach you how to choose the right container platform, from Docker and Kubernetes to managed container services in the cloud.

This course deals with the Google Kubernetes Engine, the most robust and seamless way to run containerized workloads on the GCP. Cluster creation, the use of volume storage abstractions, and ingress and service objects are all covered in this course.

In this course, you will learn foundational knowledge needed to apply CI/CD methodologies to your pipeline creation process in Azure Data Factory to deploy robust and well-tested data pipelines to production.

Database deployment tends to be the last thing automated with deployments. Deploying databases presents unique challenges and this course will plot your course towards database deployment, with hands-on examples of complex database deployments.

Today’s collaboration deployments need dynamic voicemail capabilities, and Cisco Unity Connection is loaded with features that end users require. This course demonstrates how to deploy and enable features for your Cisco Unity Connection solution.

The Ethereum framework is the most popular blockchain platform for building decentralized applications. In this context, AWS has made it easy to get up and running with your own Ethereum network on the AWS cloud using blockchain templates

Learn to Deploy Machine Learning Models. Learn about Server and Server less Frameworks Both using Python

In this presentation, you will look at the top challenges you face deploying machine learning models to production and how to tackle those challenges using MLOps.

This course covers the important conceptual reasons why models underperform post-deployment, the actual implementation of model deployment using Python Flask, using serverless, cloud-based compute options and using platform-specific machine learning frameworks.

Learn how to deploy microservices to Kubernetes. Discover best practices for containerizing, scaling, and managing microservices using Kubernetes orchestration, and take advantage of Kubernetes features for efficient deployment and maintenance in production.