AI
AIXL Academy
Intermediate Program 36 Hours Live Virtual + Labs

DevOps and Cloud Engineering

Ship faster, more reliably, and with AI-native platform practices.

Why This Program Exists

Legacy DevOps training produces checkbox certifications. This program produces engineers who can architect, automate, and operate modern engineering platforms — and leverage AI tools to ship faster.

Who This Is For

DevOps Engineers

Modernizing CI/CD and platform practices

Site Reliability Engineers

Building reliability and observability systems

Infrastructure Engineers

Shifting to cloud-native and IaC patterns

Platform Teams

Enabling self-service developer infrastructure

What You Will Master

Architect and operate production-grade CI/CD systems
Build self-service infrastructure with IaC
Reduce deployment failure rate with automated testing and rollback
Accelerate developer productivity with AI-assisted DevOps workflows

What You Will Build and Practice

01
A production-grade CI/CD pipeline with security scanning
02
An IaC-provisioned cloud environment using Terraform or Pulumi
03
An observability stack with custom alerting and runbooks
04
An AI-assisted incident response workflow using Copilot

Program Curriculum

Cloud-native is no longer optional for modern engineering teams.

Kubernetes ArchitectureContainer OrchestrationService Mesh Patterns

Deploy a microservices application to a Kubernetes cluster with auto-scaling

Tools and Platforms Covered

KubernetesTerraformGitHub ActionsArgoCDPrometheusGrafanaGitHub CopilotAIXL Labs
The Practical Advantage

Not just theory.
Pure execution.

Every AIXL program is AIXL Labs-powered. Your team spends 70% of their time inside unthrottled, specialized cloud environments building real enterprise capability.

70%
Lab-to-Lecture Ratio
100+
Scenario Configurations
Live instructor sessions with interactive Q&A
AIXL Labs pre-configured cloud environments
Guided builds and capstone projects
AIXL Skills assessment checkpoints
Sandbox environments (no production risk)

Delivery Formats

Corporate Live Virtual

5-week part-time program

In-Person

5-day intensive on-site

Hybrid

Virtual sessions + on-site lab days

Custom Enterprise Track

Stack and process specific

Enterprise Customisation

Every AIXL program is a starting architecture, not a locked curriculum. We tune each engagement to your specific context.

Cloud provider: AWS vs Azure vs GCP alignment
GitOps tool: ArgoCD vs Flux vs custom internal tools
Team maturity: beginner cloud to advanced platform engineering track
Governance overlay: FinServ, GovTech regulated environment constraints
AI tooling focus: Copilot, Claude, internal AI production models

Enterprise Proof

Outcome
82%

Average AI tool adoption rate among engineering teams within 60 days of completing AIXL programs.

From a BFSI Client

"AIXL did not deliver a course. They delivered a capability shift. Our teams went from AI-curious to AI-shipping in under 8 weeks."

Director of Engineering — Tier 1 Bank

Frequently Asked Questions

Ready to run this for your team?

Connect with a Solution Architect to design the right variant, timeline, and delivery format for your organisation.