Stage 4 · Intelligence

AI in training.

Intelligence is the fourth and final stage of the program, where you learn how modern engineers actually use AI in real DevOps work, not as a bolt-on. Finish it, plus the capstone, to earn the CMCP.

Stage 4 · AccelerateEarns the CMCPHands-on labs

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The Intelligence stage

The AI-driven stage.

A practical engineering stage, not an intro AI course. Apply AI responsibly and effectively across the entire DevOps lifecycle.

Stage 4✦ Intelligence · Accelerate

Learn AI the way engineers actually use it.

You learn to combine DevOps, automation and AI to build, deploy, monitor and operate cloud infrastructure more efficiently, with guardrails and good judgement.

It builds on everything before it, Foundations, Delivery and Reliability, for engineers who want to stay ahead of how the field is changing.

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Topics covered

AI Fundamentals for DevOps
Prompt Engineering for Infra & Ops
AI-Assisted Infrastructure as Code
AI-Assisted Kubernetes Operations
AI for CI/CD Pipelines
AI for Monitoring & Observability
AI for Incident Investigation & RCA
AI Agents for DevOps Workflows
AI-Assisted Documentation
Intelligent Automation

Inside the stage

What the Intelligence stage covers.

It maps AI back onto everything you learned, so you apply it to the same skills, area by area.

Weeks 1–2

AI-assisted troubleshooting

Linux, networking and Git, with AI helping you debug faster.

Weeks 3–4

AI-assisted debugging

Docker and CI/CD, using AI to find and fix pipeline issues.

Weeks 5–7

AI-assisted Infrastructure as Code

Write and review Terraform with AI as a pair.

Weeks 8–9

AI-assisted cluster operations

Kubernetes troubleshooting and operations with AI support.

Weeks 10–11

AI-powered log analysis

Observability and security, with AI surfacing what matters.

Week 12

AI for DevOps & MLOps

Prompt engineering for DevOps and deploying AI/ML in production.

Common questions

Good to know.

Do I need AI experience to start?

No. We teach how to use AI as a DevOps engineer from first principles, alongside the core skills.

Is the AI specialization separate from the path?

It is a dedicated specialization, and AI is also woven into every stage of the core learning path.

Will I actually use AI on projects?

Yes. You use AI in hands-on labs and projects, the way modern engineers do day to day.

For businesses

AI as a service →

AIOps, MLOps and intelligent automation, applied across your cloud.

The full path

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Three connected stages from Foundations to Cloud & Platform Engineering.

Become the engineer who uses AI well.

Tell us your background and we'll help you pick the right starting point, and where the Intelligence stage fits.

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