Cloud Engineering with AWS

The foundations of cloud computing and Amazon Web Services (AWS) are covered in the beginner-friendly course Cloud Engineering with AWS. Core AWS services, cloud infrastructure, networking, storage, security, identity and access management (IAM), monitoring, and deployment procedures are all covered. In order to assist students in developing, deploying, and managing [...]

Read More

Cloud Architecture: Design, Implement & Manage

The practical course Cloud Architecture: Design, Implement & Manage by KodeKloud aims to assist students in creating, implementing, and overseeing scalable, safe, and economical cloud solutions. Infrastructure design, networking, security, storage, high availability, disaster recovery, and cloud best practices are all covered. Learners get the skills necessary to develop and [...]

Read More

Fundamentals of Cloud Architecture

The foundational ideas of creating cloud-based solutions are presented in the beginner-friendly course Fundamentals of Cloud Architecture by A Cloud Guru. Fundamentals of cloud architecture, infrastructure elements, scalability, availability, security, networking, storage, and best practices for creating dependable and economical cloud systems are all covered. For those who intend to [...]

Read More

Cloud Solutions Architecture

The concepts of creating safe, scalable, and affordable cloud solutions are presented in Cloud Solutions Architecture on LinkedIn Learning. Fundamentals of cloud architecture, networking, storage, compute services, security, governance, and best practices for developing dependable cloud-based applications are all covered in this course. It is perfect for students who wish [...]

Read More

Cloud Architecture Fundamentals

The foundational concepts of cloud architecture are introduced in the beginner-friendly course Cloud Architecture Fundamentals (now provided as Foundations for Cloud Architecture). Public, private, and hybrid cloud deployment options, cloud service models, architectural design concerns, security principles, and advanced cloud services are all covered. By the end of the course, [...]

Read More

Designing Cloud Infrastructure with Terraform

Discover how to use Terraform, HashiCorp’s Infrastructure as Code (IaC) tool, for cloud infrastructure design, provisioning, and management. Terraform basics, reusable modules, state management, variables, workspaces, and best practices for automating cloud deployments across major cloud providers like AWS, Azure, and Google Cloud are all covered in this course. Provider/Creator: [...]

Read More

Cloud Infrastructure Technologies

The Linux Foundation offers a beginner-friendly course called Cloud Infrastructure Technologies (previously Introduction to Cloud Infrastructure Technologies – LFS151) that covers the fundamentals of cloud computing and contemporary infrastructure. It offers a strong basis for employment in cloud and DevOps by covering virtualization, Infrastructure as a Service (IaaS), Platform as [...]

Read More

Kubernetes for Developers

The intermediate-level, self-paced course Kubernetes for Developers (LFD259) is intended for application developers who wish to use Kubernetes to create, launch, and maintain containerized applications. Applications can be containerized, Kubernetes resources can be created, deployments can be configured, applications can be troubleshooted, networking and storage can be handled, and security [...]

Read More

Cloud Native Architecture with Kubernetes

In partnership with the Cloud Native Computing Foundation (CNCF), the Linux Foundation offers an extensive course called Cloud Native Architecture with Kubernetes. It teaches students how to create, implement, and oversee cloud-native, scalable, and resilient apps using Kubernetes. Kubernetes architecture, container orchestration, networking, storage, security, service discovery, scaling, monitoring, and [...]

Read More

Cloud Computing for Data Analysis

IBM’s Cloud Computing for Data Analysis course explains the principles of cloud computing and shows how big datasets may be processed, stored, and analyzed using cloud technology. Cloud service models, cloud-based data analytics tools, scalable data processing, and real-world IBM Cloud applications are all covered in the course. Through practical [...]

Read More