Welcome to Bootcamp AI


Jobs in Cloud Computing

Cloud Computing

The cloud has become a key enabler for innovation with beneficial features like high availability, unlimited capacity, and on-demand scalability and elasticity. Learn the fundamentals of cloud computing while being introduced to compute power, security, storage, networking, messaging, and management services in the cloud. While learning the fundamentals, you will explore tools and services offered by Amazon Web Services (AWS) through interactive hands-on exercises. By the end of the course, you will have deployed your first website to AWS, and you will be prepared to continue your learning journey in the Cloud Developer Nanodegree program

Storage & Content Delivery


Networking & Elasticity

Messaging & Containers

AWS Management

Deploy Static Website on AWS

Getting Started with CloudFormation

With the advent of cloud computing, along came several tools that enabled us to deploy the underlying infrastructure components that provide security and services to our servers by writing scripts. In this course, you’ll learn how to deploy this infrastructure using CloudFormation, AWS’ tool for Infrastructure as Code. You will use CloudFormation to deploy Infrastructure patterns that are used broadly in the industry and can be readily used to deploy any cloud application. Like in the real world, you will begin with initial business requirements that you will turn into Cloud Architecture Diagrams. Then, you will deploy this architecture using CloudFormation

Infrastructure Diagrams

Networking Infrastructure

Servers and Security Groups

Storage and Databases

Monitoring & Logging

In this course, you’ll learn the process of taking software from source code to deployment and beyond. You’ll learn about automated testing, choosing the right deployment strategy for your business needs and deploying an appropriate CI/CD pipeline. You’ll also learn about monitoring and logging to ensure that your application is running at peak performance and stays that way. You’ll also learn to manage and make changes to your servers in an automated way, using Ansible, a leading Configuration Management tool.

Continuous Integration and Continuous Deployment—

Continuous Integration and Continuous Deployment Strategies —

Building a Continuous Integration Pipeline –

Enabling Continuous Delivery with Deployment Pipelines

Monitoring Environments

Deploy an Event-Driven Microservice

In this course, you will learn to create and deploy a Kubernetes cluster, configure Kubernetes autoscale, and load test a Kubernetes application. You’ll learn to operationalize both existing and new microservices, and apply containers best practices. You’ll learn to deploy Machine Learning microservices that are elastic and fault tolerant. You’ll learn to pick the appropriate abstraction for microservices: Serverless (AWS Lambda) or Container Orchestration (Kubernetes).

Using Docker Format Containers

Containerization of an Existing Application

Container Orchestration with Kubernetes

Operationalizing Microservices

Operationalize a Machine Learning Microservice API


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Lesson Objectives

In the previous lesson, we built the necessary networking infrastructure as a part of ourdemoinfra stack for a web application: a VPC, subnets, internet gateway, NAT gateway, and routing tables.

In the current lesson, we will create a new stack demoserverstack, that will create servers and associated resources in the previously created VPC. Yes, we will cross-reference the resources created in the previous stack in our new stack.

In particular, we will create the following resources using the CloudFormation template:

  • Security groups – Security group specify firewall rules. We will create two of them, one for a load-balancer and another for a web server.
  • AutoScaling group – An autoscaling group ensures that a desired number of servers (EC2 instances) are always up and running. If an instance goes down due to any reason, such as bad health, a substitute instance with a similar configuration will spin up automatically.
  • Launch configuration – The configuration of the EC2 instance that spins up automatically, if required, as a part of autoscaling group resides in a launch configuration.
  • Load balancer – A load balancer distributes the incoming traffic uniformly across multiple servers (target group) within the same or different AZs. We will also create a listener and target group for the load balancer.

Supporting Material

The supporting material that is referred to in the video demonstration is available in the Github repository folder.