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.
Schedule a training consultationWhy Choose THNKBIG for Kubernetes and DevOps Training
THNKBIG is a US-based Kubernetes training provider with deep roots in Texas and California, delivering hands-on technical education to engineering teams across the country. Our programs are taught by engineers who deploy and operate production clusters daily for Fortune 500 clients in Austin, Houston, Dallas, San Francisco, and Los Angeles.
This real-world experience makes our curriculum fundamentally different from certification factories that teach to the test without understanding operational reality.
Hands-On Learning That Sticks
Our DevOps training methodology emphasizes hands-on labs over passive learning. Every track includes dedicated lab environments where engineers:
- Practice on real clusters
- Break things safely
- Build muscle memory that transfers directly to daily work
We customize curriculum to match your actual technology stack, whether you run EKS in AWS, AKS in Azure, GKE on GCP, or self-managed Kubernetes on bare metal. Teams walk away with practical skills they can apply immediately, not theoretical knowledge that fades within weeks.
Certification Success
Organizations choose THNKBIG for Kubernetes certification prep because our instructors have trained over 2,000 engineers with an 85% first-attempt pass rate on CKA, CKAD, and CKS exams.
We offer flexible delivery formats:
- On-site training at your facility
- Virtual live sessions for distributed teams
- Self-paced learning with ongoing support
- Air-gapped and classified environment delivery
From startups scaling their first production clusters to enterprises modernizing legacy infrastructure, THNKBIG training programs build the internal capabilities that reduce dependency on external consultants.
Training that sticks: our approach to technical education
Why Traditional Training Fails
Traditional technical training fails because it prioritizes coverage over retention. Instructors race through slides to tick compliance boxes while engineers mentally check out after the first hour.
We have seen it hundreds of times: teams complete three-day courses and return to work unable to apply what they supposedly learned. This happens because passive learning does not build skill. Hands-on practice builds skill.
The THNKBIG Approach: 80% Labs, 20% Lecture
Our training methodology inverts the standard ratio. Where typical programs spend 80% of time on lecture and 20% on labs, we flip that proportion.
After a focused concept introduction, engineers immediately apply what they learned in progressively challenging lab scenarios. These are not sanitized demos that work perfectly on the first try. They are messy, realistic problems pulled from actual client engagements:
- Misconfigured RBAC policies
- Failing deployments
- Network connectivity issues
- Resource exhaustion scenarios
Reinforcement Through Repetition
Spacing and repetition reinforce long-term retention. Critical concepts reappear across multiple labs in different contexts.
Engineers configure network policies on day one, then encounter them again during security hardening exercises on day three. By the end of the program, core skills are automatic rather than theoretical.
Measured by Outcomes, Not Certificates
We measure success by operational outcomes, not course completion certificates. Our post-training assessments track metrics that matter:
- Reduction in escalations to senior engineers
- Time to resolve production incidents
- Configuration accuracy on first deployment attempts
- Confidence scores on practical skill demonstrations
Organizations that invest in THNKBIG training consistently report measurable improvements within 90 days of program completion.
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.
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
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
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
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
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)
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
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.
No Kubernetes experience required
Courses
Kubernetes Fundamentals
Outcome
Deploy and manage containerized applications
Running workloads on Kubernetes
Courses
DevOps & CI/CD
Cloud Architecture
Outcome
Design and automate production infrastructure
Operating production Kubernetes clusters
Courses
Advanced K8s Operations
Security & Compliance
Outcome
Architect and harden multi-cluster environments
Mastering specialized domains
Courses
AI/ML Infrastructure
Custom track
Outcome
Lead platform engineering and architecture decisions
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.
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
- 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
- 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
- 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
- Tailored curriculum
- Your environments & tools
- Embedded with your team
- Ongoing mentorship option
Best for
Orgs with specific platform goals
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.
Reduction in escalations to senior engineers within 90 days of training completion
Faster incident resolution for teams that completed the Advanced K8s Operations track
Fewer production misconfigurations reported by teams who finished Security & Compliance
Decrease in external consulting hours within six months of upskilling program completion
Frequently asked questions
Technology Partners
Related Reading
CKA Certification Guide
Complete guide to passing the Certified Kubernetes Administrator exam. Domains, resources, and expert tips.
Kubernetes Security Hub
Security news, CVE alerts, best practices, and compliance guidance for Kubernetes environments.
Kubernetes Can't Solve Your Organizational Issues
Technology alone won't fix process problems. What teams need beyond tooling.
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