Training & Skills Development

Upskill your team. Reduce your dependency on us.

Every training module we deliver is taught by engineers who build and operate production Kubernetes clusters — not career instructors reading slides. Your team practices on real-world scenarios, walks away with hard skills, and stops needing to call us for things they can handle themselves.

92%
Completion rate
4.8/5
Satisfaction score
2,000+
Engineers trained
85%
Certification pass rate
Curriculum

Six tracks. Zero filler.

Each track is built around production scenarios we encounter during client engagements. The labs are hard. The skills transfer immediately. We update content quarterly to match the pace of the ecosystem.

Beginner 3 days

Kubernetes Fundamentals

Core concepts, architecture, pod lifecycle, services, and deployments. Your team leaves with the confidence to operate workloads on any Kubernetes distribution.

Key topics

  • Cluster architecture & components
  • Pod lifecycle & scheduling
  • Services, Ingress & networking
  • ConfigMaps, Secrets & volumes
  • kubectl & debugging workflows
Intermediate 4 days

Advanced K8s Operations

Production hardening, multi-cluster management, custom controllers, and performance tuning. Built for teams already running Kubernetes who need to run it better.

Key topics

  • Custom resources & operators
  • Multi-cluster & federation
  • Performance tuning & profiling
  • Disaster recovery & backup
  • Upgrade strategies & rollbacks
Intermediate 3 days

DevOps & CI/CD

GitOps workflows, pipeline design, ArgoCD, GitHub Actions, and deployment strategies. Stop building pipelines from scratch every time.

Key topics

  • GitOps with ArgoCD & Flux
  • Pipeline design patterns
  • Canary & blue-green deploys
  • Secrets management in CI/CD
  • Observability-driven delivery
Intermediate 4 days

Cloud Architecture

Multi-cloud infrastructure design across AWS, Azure, and GCP. Networking, IAM, cost management, and infrastructure-as-code patterns that scale.

Key topics

  • VPC design & network topology
  • IAM & least-privilege policies
  • Terraform & IaC patterns
  • Cost attribution & FinOps
  • Multi-cloud strategy
Advanced 3 days

Security & Compliance

Zero-trust networking, pod security standards, supply chain security, and compliance automation. Designed for teams in regulated industries.

Key topics

  • Network policies & service mesh
  • Pod security & OPA/Gatekeeper
  • Image signing & SBOM
  • Runtime threat detection
  • Compliance-as-code (SOC 2, HIPAA)
Advanced 4 days

AI/ML Infrastructure

GPU scheduling, model serving infrastructure, MLOps pipelines, and resource management for AI workloads running on Kubernetes.

Key topics

  • GPU scheduling & bin-packing
  • Model serving with KServe
  • MLOps pipeline orchestration
  • Data pipeline architecture
  • Cost management for GPU clusters
Learning Paths

From first cluster to platform architect

Each level builds on the previous one. We assess your team's current skills and place them on the right path — nobody wastes time repeating what they already know.

Beginner

No Kubernetes experience required

Courses

Kubernetes Fundamentals

Outcome

Deploy and manage containerized applications

Intermediate

Running workloads on Kubernetes

Courses

DevOps & CI/CD

Cloud Architecture

Outcome

Design and automate production infrastructure

Advanced

Operating production Kubernetes clusters

Courses

Advanced K8s Operations

Security & Compliance

Outcome

Architect and harden multi-cluster environments

Expert

Mastering specialized domains

Courses

AI/ML Infrastructure

Custom track

Outcome

Lead platform engineering and architecture decisions

Certification Prep

Train for the exam. Pass on the first attempt.

Our certification prep modules layer on top of the core tracks. Timed practice exams, domain-specific drills, and test-taking strategies built from analyzing where candidates actually fail.

Certification Provider Prep Courses Our Pass Rate
CKA CNCF Kubernetes Fundamentals + Advanced K8s Operations 87%
CKAD CNCF Kubernetes Fundamentals + DevOps & CI/CD 84%
CKS CNCF Advanced K8s Operations + Security & Compliance 82%
AWS SAA AWS Cloud Architecture 88%
TFA HashiCorp Cloud Architecture + DevOps & CI/CD 90%

Industry average first-attempt pass rate: 60-65%. Our rates reflect candidates who completed the full prep program.

Delivery Formats

Training that fits how your team works

Co-located teams, distributed organizations, classified environments — we have delivered training in all of them. Pick the format that matches your constraints.

On-Site

3-5 days | 8-20 engineers
  • Instructor at your facility
  • Hands-on labs on your clusters
  • Customized to your stack
  • Team-building dynamics

Best for

Teams adopting Kubernetes together

Virtual Live

3-5 days | 6-30 engineers
  • Live instructor via video
  • Cloud-hosted lab environments
  • Breakout rooms for exercises
  • Recorded sessions for replay

Best for

Distributed teams across time zones

Self-Paced

4-8 weeks | Unlimited
  • On-demand video modules
  • Hands-on lab access (60 days)
  • Slack channel for questions
  • Monthly office hours

Best for

Teams with varying schedules

Custom Program

Varies | Flexible
  • Tailored curriculum
  • Your environments & tools
  • Embedded with your team
  • Ongoing mentorship option

Best for

Orgs with specific platform goals

Measured Outcomes

What your team achieves after training

We track post-training metrics across our client base. These numbers come from follow-up assessments conducted 90 days after program completion.

74%

Reduction in escalations to senior engineers within 90 days of training completion

3x

Faster incident resolution for teams that completed the Advanced K8s Operations track

60%

Fewer production misconfigurations reported by teams who finished Security & Compliance

45%

Decrease in external consulting hours within six months of upskilling program completion

FAQ

Frequently asked questions

Yes — and we do for most engagements. Before every training program, we run a scoping call to understand your infrastructure, tooling, and skill gaps. We then adapt the curriculum, lab environments, and examples to match your actual production setup. Your engineers practice on scenarios that mirror their daily work, not generic demos.
Kubernetes Fundamentals requires basic Linux command-line familiarity and an understanding of containers (Docker). All other tracks assume completion of Kubernetes Fundamentals or equivalent hands-on experience. We offer a free skills assessment to place engineers in the right track if you're unsure.
We see this constantly. We typically run a skills assessment first, then either split into cohorts by level or design a blended program with shared sessions and breakout labs for different skill tiers. No one sits through material they've already mastered, and no one gets left behind.
Pricing depends on format, duration, and group size. On-site and virtual live training are priced per engagement (not per seat), so larger groups get better per-engineer economics. Self-paced licenses are priced per seat with volume discounts starting at 10 seats. Schedule a training consultation for a detailed quote.
We offer a 90-day post-training support package that includes a dedicated Slack channel with our instructors, monthly office hours, and code review for infrastructure projects. This bridges the gap between classroom learning and production confidence. About 60% of our training clients add this option.
Our certification prep modules are add-ons to the core tracks. They include timed practice exams, exam-specific drill exercises, and test-taking strategy sessions. We focus on the domains where candidates most commonly fail. Our 85% first-attempt pass rate is well above the industry average of 60-65%.
Yes. We have experience delivering training in SCIF and air-gapped environments for government and defense clients. We pre-package all lab materials, container images, and documentation for offline delivery. All instructors hold active security clearances where required.

Technology Partners

AWS Microsoft Azure Google Cloud Red Hat Sysdig Tigera DigitalOcean Dynatrace Rafay NVIDIA Kubecost

Ready to make AI operational?

Whether you're planning GPU infrastructure, stabilizing Kubernetes, or moving AI workloads into production — we'll assess where you are and what it takes to get there.

US-based team · All US citizens · Continental United States only