cloud computing

In this program, you’ll develop the skills you need to join the rapidly growing cloud devops field. 

Cloud DevOps Engineer

Elevate your tech skills with our innovative program focused on Cloud Computing, Microservices, and Serverless Technologies. Master the fundamentals of AWS, learn to build and deploy scalable, full-stack applications on the cloud, and grasp the principles of modern cloud architecture. Delve into microservices, understanding architecture patterns, service replication, and independent scaling. Harness the power of serverless technologies, creating REST APIs and implementing security best practices. Our hands-on exercises offer practical experience, equipping you to design, build, and deploy complex applications. Stay ahead in the digital era with our comprehensive tech program.

Cloud security in AWS

Cloud load balancing

Identity and access management fundamentals

AWS secrets manager

Serverless development

Microservices architecture design

REST APIs

Amazon DynamoDB

Cloud observability

Iam policies

Amazon vpc

Auth0

Amazon web services basics

Amazon Elastic Kubernetes Service

Unit testing

Application authentication

Iam users

AWS cli

Cloud autoscaling

Jwts

Amazon elastic compute cloud

Microservices debugging

Amazon rds

Travis ci

Amazon s3

Kubernetes

Integration testing

Computer networking basics

AWS IAM

Docker

AWS cloudformation

Serverless cloud computing architecture

Coding best practices

Amazon simple notification service

AWS lambda

Cloud computing fluency

Event-driven architecture

AWS elastic beanstalk

Cloud deployment models

CI/CD

Cloud Developer

The AWS Cloud Architect program focuses on designing highly available, reliable, and resilient systems and networks using AWS infrastructure. It covers availability zones, regions, building for resiliency, business objectives, security, monitoring, reacting, and recovering. Learners will also understand the differences between traditional data centers and cloud infrastructure and how to design, provision, and monitor infrastructure using open-source tools. Additionally, the program covers cost and monitoring, high performance, servers and security groups, storage and databases, and securing access to cloud services and infrastructure. Throughout the program, learners will practice designing for performance and scalability, recovering from failure, and securing cloud infrastructure.

AWS Cloud Architect

This program teaches how to deploy, build, migrate, and monitor applications on Azure, thereby preparing learners for success on Microsoft’s AZ-204 Azure Developer Associate Expert certification

Cloud Developer using Microsoft Azure

In this program, students will learn to run and manage scalable applications in a cloud native environment, using open source tools and projects like ArgoCD, gRPC, and Grafana.

Cloud Native Application Architecture

This program teaches students how to deploy, test, and monitor cloud applications on Azure, thereby preparing learners for success on Microsoft’s AZ-400 DevOps Engineer Expert certification.

Cloud DevOps using Microsoft Azure

This program will teach you how to become an Azure Cloud Architect, build a migration plan to migrate from on-premises to the Azure Cloud, and apply automation, high availability, and backup/recovery skills to the role of an Azure Cloud Architect, Cloud Server Engineer, Azure Security Engineer, DevOps Engineer, and more.





Cloud Architect using Microsoft Azure

The goal of the Site Reliability Engineer (SRE) Nanodegree program is to equip software developers with the engineering and operational skills required to build automation tools and responses that ensure designed solutions respond to non-functional requirements such as availability, performance, security, and maintainability. The content will focus on both designing systems to automate response to issues with software sites as well as how to respond to common on-call situations.


Site Reliability Engineer

Executive Leadership

This program will focus on the unique knowledge and skills that business leaders need to unlock the value of cloud technologies in their organizations, or enable a more cloud-native department that leverages cloud computing to drive growth and create operational efficiencies.

Cloud Computing for Business Leaders

This course will give you the basic information you need to understand the fundamentals of cloud computing, including cloud services and cloud storage.

Discovering Cloud Computing

In this course, you will learn fundamental topics of cloud computing. You will learn about the main components, including their benefit and purpose.

Cloud Fundamentals Fluency

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.

Cloud Fundamentals

This course introduces learners to multi-cloud architectures and how to design and implement these architectures effectively. In this course, learners will learn how to define, design and deploy multi-cloud architectures. They’ll begin by learning the key components to understand and design a proper multi-cloud application. They will also learn the pros and cons of multi-cloud and important considerations when designing for them. Lastly, they will create a multi-cloud design and then deploy it to multiple providers.

Cloud product strategy

Cloud governance strategy

Distributed Cloud Computing

Cloud operational efficiency

Cloud solution evaluation

Cloud architecture proficiency

Cloud cost evaluation

Cloud migration strategy

Terraform

Multi-Cloud Computing

This lesson will provide you with a comprehensive understanding of microservices architecture, containers, and Kubernetes in the context of AWS. You will learn how to build, deploy, and manage containerized applications at scale while utilizing AWS tools and services. By the end of your journey, you will have a strong foundation in containerization, microservices, and Kubernetes DevOps skills, enabling you to tackle real-world challenges in your professional career.

Amazon ECR

Amazon CloudWatch

Microservices at Scale using AWS & Kubernetes 

In this course, you will learn how to stretch for Continuous Delivery as your “true north” while you build CI/CD systems that automate the “stuff” between developers and the cloud. You’ll gain essential knowledge and put it into practice as you learn about Continuous Integration and Continuous Deployment. You’ll combine your existing knowledge of Cloud Formation and AWS with new tools like GitHub Actions. 

Build automation

Deployment automation

Github actions

Continuous deployment

Continuous integration

Logging

Build CI/CD Pipelines, Monitoring, and Logging

Explore the foundational concepts of designing and deploying scalable, extendable, and maintainable full-stack applications using modern cloud architecture. 

Full Stack Apps on AWS

Microservices are becoming the default mode of developing and deploying applications at scale. Microservices architecture makes it easier to scale an application to a large system and is a great enabler for continuous integration and delivery. The microservices architecture allows independent scaling, independent releases and deployments, and independent development so that each service has its own codebase. In this course, we will cover the best practices on how to develop and deploy microservices. You will learn topics such as different microservice architecture patterns, independent scaling, resiliency, service replication, service registration, and discovery. By the end of this course, you should be able to design and build an application using a microservice architecture.

Monolith to Microservices at Scale

In this course, you will explore best practices and strategies around securing access to cloud services and infrastructure. You will also use tools and methods available with AWS to ensure that data stored in the cloud is protected. Finally, you will investigate security practices around monitoring and defending cloud-based applications and environments.

AWS vpn

DevSecOps in AWS

AWS security hub

Amazon guardduty

Network access control lists

AWS config

AWS waf

Amazon inspector

Principle of least privilege

AWS encryption sdk

Data encryption in AWS

AWS key management service

Design for Security

In this course, you will learn the basics of deploying an application to Azure. Understand the benefits and costs of cloud deployments, different types of service models, and how to navigate the Microsoft Azure platform. Distinguish two types of compute services in Azure, virtual machines and app services, when to use each, and how to deploy applications onto the related service. Connect two useful types of cloud storage to a cloud application: Azure SQL databases and blob containers. Differentiate between the different security options available in Azure, and how to implement Microsoft’s OAuth 2.0 capabilities with Azure Active Directory, along with useful monitoring and logging tools in the cloud.

Azure app service

Azure portal

Cloud security in Azure

Azure compute service

Cloud availability

Cloud resource allocation

Azure blob storage

Azure resource groups

SQL databases in Azure

Azure Applications

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 in the industry broadly 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.

AWS compute services

AWS database services

Cloud computing business context

AWS networking services

 Deploy Infrastructure as Code (IAC)

Self-healing architecture is resilient enough to withstand failure and resolve issues without human intervention through automation. In this course, you'll gain skills in self-healing architecture design strategies, deployment strategies, and cloud automation

Software load testing

It incident postmortems

As-built documents

Self-healing system design

Cloud capacity planning

Blue-green deployment

Tiered cloud capacity management

Kubernetes scaling

Basic deployments

Feature design documents

On-call best practices

Canary deployment

Toil reduction

Deployment rollbacks

It incident management

AWS autoscaling

Rolling deployments

Cloud capacity management

Feature launch reviews

Reliability risk assessment

Self Healing Architectures

In this course, you will use AWS tools to identify and implement best practices for cost and identify and understand the elements required to design and architect scalable infrastructure. You will be able to modify
traditional infrastructure for performance and identify architectures and workloads where serverless infrastructure should be considered to meet cost and performance goals. Finally, you will be able to provision and destroy infrastructure from the command line using the AWS CLI and Terraform.

AWS cost explorer

Infrastructure as code

AWS server migration

Cloud performance management

Lucidchart

Amazon ECS

Design for Performance and Scalability

In this course, you will go over the best practices for implementing High Availability within the Azure Cloud using different solutions. We will create a backup strategy/plan. We'll go through migrating on-premise resources into the Azure cloud with built-in tools. We will go over how to monitor and optimize migrated resources to ensure they are running at their optimum level using Azure Monitor and Advisor respectively. We will also go over how to use ARM Templates to automate the provisioning of resources using Infrastructure as code as well as enforcing an organization's policies and requirements automatically through Azure Policy and Azure Blueprint.  


Azure network security groups

Route based vpn

Azure migrate

Cloud migration

Azure resource manager

Cloud design principles

Azure desired state configuration

Azure virtual machine backup

Azure blueprints

Azure site recovery

Cloud blueprints

Azure load balancing services

Disaster recovery plans

Designing Infrastructure and Managing Migration

In this course, you will learn to use AWS to create highly available and resilient systems and networks.

all cloud computing Programs

all cloud computing Programs