Hands-on cloud & DevOps engineering

Master Cloud & DevOps Architecture

Build practical cloud and DevOps skills through guided projects in AWS, Azure, Kubernetes, Terraform, and CI/CD.

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Learners collaborating around a laptop and sharing ideas
Learn together. Build with confidence.Practical cloud and DevOps learning paths
Hands-on learning
Grow your skill set

Cloud & DevOps courses.

Build practical architecture skills across AWS, Azure, Kubernetes, Infrastructure-as-Code, CI/CD, and reliable operations.

6 courses
  1. DevOps
  2. AWS
  3. Kubernetes
  4. Terraform
Cloud foundations
8 WEEKS · SELF-PACEDALL LEVELS

Cloud Engineering with AWS

Build secure AWS foundations for modern applications, including the infrastructure patterns AI-enabled workloads rely on.

On-demand lessonsHands-on labsMentor support
Certificate includedView course
Modern delivery
10 WEEKS · SELF-PACEDALL LEVELS

DevOps & CI/CD in Practice

Build reliable delivery pipelines for modern software, including services that integrate AI features.

On-demand lessonsBuild a release pipelineMentor support
Certificate includedView course
Container orchestration
8 WEEKS · SELF-PACEDALL LEVELS

Kubernetes, the Practical Way

Deploy, scale, and troubleshoot containerized applications, including the patterns used by AI-enabled services.

On-demand lessonsGuided cluster labsMentor support
Certificate includedView course
Infrastructure as code
6 WEEKS · SELF-PACEDALL LEVELS

Terraform & Cloud Automation

Provision and review repeatable AWS or Azure infrastructure, a useful foundation for operating AI-enabled services.

On-demand lessonsProject-based learningMentor support
Certificate includedView course
Microsoft Azure
5 WEEKS · SELF-PACEDALL LEVELS

Microsoft Azure Fundamentals

Learn Azure architecture, identity, and deployment basics that also underpin cloud-hosted AI applications.

On-demand lessonsGuided Azure labsMentor support
Certificate includedView course
Cloud operations
6 WEEKS · SELF-PACEDALL LEVELS

Observability & SRE Essentials

Use metrics, logs, and traces to improve service reliability, including for applications with AI features.

On-demand lessonsIncident simulationsMentor support
Certificate includedView course
A clearer way to learn

Why choose LigidNex?

Choose a focused cloud and DevOps learning path with practical work, clear expectations, and room to learn at your own pace.

01

Practice, not just watch

Each course connects core concepts to guided scenarios and a course-specific project, so you can apply what you learn.

02

Structured learning paths

Explore 10 focused curriculum modules per course, with expandable lesson details, subtopics, and practical outcomes.

03

Know the time commitment

See course duration, estimated total study hours, module hours, and lesson-minute estimates before you plan your learning.

04

Focused, relevant skills

Build foundations across AWS, Azure, Kubernetes, Terraform, CI/CD, and SRE—skills used to build and operate modern cloud services.

A team collaborating around a table
Your Cloud Engineer learning pathON TRACK
Program progress72%
✓ Cloud foundations ✓
✓ Networking & IAM ✓
⌘ Deploy your first service IN PROGRESS
✦ Project feedback from your mentor
Training that sticks

Build the foundations behind AI.

AI products still depend on secure cloud infrastructure, tested releases, and dependable operations. Learn those foundations through focused lessons and hands-on practice.

✓
Understand AI-ready AWS foundationsLearn the networking, identity, compute, and storage concepts behind cloud-hosted applications.
✓
Automate delivery with confidencePractice version control, CI/CD, containers, and infrastructure automation for repeatable releases.
✓
Operate reliable servicesBuild practical habits for monitoring, troubleshooting, security, and cost awareness.
✓
Learn through guided projectsApply each concept in hands-on work, with mentor support where included in the course.
AWS CloudFoundations for AI workloads
AI-DevOpsAutomation and reliable delivery
Hands-onGuided labs and projects
FlexibleLearn at your own pace
Good to know

Questions? We’re here.

Choosing a learning path is a big step. Here are a few things people often ask.

Still deciding? Talk with our team →

The AWS course teaches core cloud infrastructure, while DevOps courses cover delivery automation and reliability. These are practical foundations for teams running AI-enabled applications; the current catalog does not claim to teach model development or provide a dedicated AI certification.
Courses are self-paced and combine on-demand lessons with practical labs. Mentor support and project activities are included where listed on the course.
Each course lists its estimated duration. You can work through the lessons and labs at a pace that fits your schedule.
Yes. Learners who complete the course requirements receive a LigidNex certificate. Courses focus on practical skills and portfolio work; certification exam preparation may be included, but third-party exam fees are separate.
Absolutely. We can provide program details and an invoice for your learning and development team. Reach out to our advisors and we’ll help make the process straightforward.

Build the skills behind what’s next.

Explore AWS cloud, AI-ready DevOps, and reliable operations learning paths.

Talk to a course advisor