Linux.

Corporate training in Linux typically covers topics such as system administration, shell scripting, and command line usage.

The training will be in the form of classroom instruction, online training.
The goal of the training is to provide students with the skills and knowledge they need to effectively use and manage Linux systems in a corporate environment.
it will also include training on specific Linux distributions and their associated tools and utilities.
Linux is a popular choice for servers due to its stability, security, and scalability. It is used in web servers, mail servers, database servers, and more.

AWS.

Amazon Web Services (AWS) is a collection of cloud computing services that are offered by Amazon.com. Some common uses of AWS include:

Hosting websites and web applications: AWS provides services such as Amazon S3, Amazon CloudFront, and Amazon Elastic Compute Cloud (EC2) that make it easy to host websites and web applications in the cloud.
Storing and processing data: AWS offers services such as Amazon S3, Amazon Glacier, and Amazon Redshift for storing and processing large amounts of data.
Running virtual servers: AWS provides services like Amazon Elastic Compute Cloud (EC2) and Amazon Elastic Container Service (ECS) that allow users to run virtual servers in the cloud.
Analyzing data: AWS offers services like Amazon QuickSight and Amazon Athena for analyzing data and creating visualizations.
Deploying and managing applications: AWS provides services like AWS Elastic Beanstalk and AWS CodeDeploy for deploying and managing applications in the cloud.
Security and compliance: AWS provides services like Amazon GuardDuty and Amazon Inspector for securing the cloud infrastructure and to be compliant with various regulations.

DevOps.

DevOps is a set of practices that combines software development and IT operations to improve collaboration, communication, and the speed of delivering software. Some common uses of DevOps include:

Automation: DevOps practices involve automating repetitive tasks such as software building, testing, and deployment to reduce human error and improve efficiency.
Continuous Integration & Deployment: DevOps practices allow for continuous integration and deployment of code changes, which helps to detect and fix issues early in the development process and speed up the delivery of new features.
Monitoring and observability: DevOps teams use monitoring and observability tools such as Prometheus, Grafana, and Logstash to collect and analyze data about the performance of their systems in order to quickly detect and diagnose issues.
Infrastructure as code: DevOps practices allow infrastructure to be managed as code, which helps to automate the provisioning and management of resources, and makes it easier to replicate and scale environments.
Collaboration: DevOps practices promote collaboration between development and operations teams, breaking down silos and encouraging cross-functional teamwork.
Cloud-Native: DevOps practices are widely adopted in cloud-native environments, where they help in scaling, deploying, monitoring and maintaining cloud-based applications and services.