Learning Paradigms In this section, we will discuss the similarities and differences between the three main learning paradigms under the umbrella of machine learning. We will analyze some representative problems in order to understand the characteristics of these frameworks better. Introduction to Learning Paradigms For a learning paradigm, we implement a problem and a solution method…

1. Write an Infrastructure as code using terraform, which automatically create a VPC. 2. In that VPC we have to create 2 subnets: 1. public subnet [ Accessible for Public World! ] 2. private subnet [ Restricted for Public World! ] 3. Create a public facing internet gateway for connect…

In this task what we have to do is : 1) Write a Infrastructure as code using terraform, which automatically create a VPC. 2) In that VPC we have to create 2 subnets: a) public subnet [ Accessible for Public World! ] b) private subnet [ Restricted for Public World! ] 3) Create a public facing internet gateway for connect…

Task Description: 1. Create Security group which allow the port 80. 2. Launch EC2 instance. 3. In this Ec2 instance use the existing key or provided key and security group which we have created in step 1. 4. Launch one Volume using the EFS service and attach it in your…

Task : Have to create/launch Application using Terraform 1. Create the key and security group which allow the port 80. 2. Launch EC2 instance. 3. In this Ec2 instance use the key and security group which we have created in step 1. 4. Launch one Volume (EBS) and mount that volume into /var/www/html 5. Developer have uploded the…

Task Description: Deploy the WordPress application on Kubernetes and AWS using terraform including the following steps; 1. Write an Infrastructure as code using Terraform, which automatically deploy the WordPress application 2. On AWS, use RDS service for the relational database for WordPress application. 3. Deploy WordPress as a container either…

Overview: Google Kubernetes Engine Secured and managed Kubernetes service with four-way auto scaling and multi-cluster support. BENEFITS: Speed up app development without sacrificing security Develop a wide variety of apps with support for stateful, serverless, and application accelerators. Use Kubernetes-native CI/CD tooling to secure and speed up each stage of the build-and-deploy life cycle. Streamline operations with release channels

Task Overview: Django Application Deployment using Kubernetes and AWS EC2 Instance Requirements: *aws account * Two ec2 instances(t2.medium and t2.micro) of ubuntu * Django application Image