Preparing your labs…
Master DevOps, Cloud & AI Skills with Instant Labs & AI Mentors
Launch real environments in under 5 seconds. Practice Docker, Kubernetes, AI/ML on GPU clusters, CI/CD, and more with AI agents guiding every step of your journey.
Launch Labs in < 5 Seconds
Real Environments + GPU Clusters
AI-Powered Mentorship
lab sessionmylab.skills / lab sessionlab ready in 4.2sLab session ready: cluster provisioned
$ kubectl get nodes
node-1 Ready control-plane
$ kubectl apply -f deployment.yaml
deployment.apps/webapp created
$ kubectl get pods
webapp-5d9f 1/1 Running
$
Hints Agent
Your deployment is running. Try exposing it with a Service to make it reachable.
Four AI Agents, One Mission: Your Success
Meet your personal AI team that guides, supports, and accelerates your learning journey
Feedback Agent
Get detailed analysis of your work with strengths, weaknesses, and competency tracking
Guidance Agent
Recommends your next milestones when you complete labs, building your learning path step by step
Hints Agent
Context-aware hints that nudge you in the right direction without giving away answers
Mentor Agent
Helps you achieve your career journey, whether DevOps, SRE, Cloud Engineer, ML Engineer, or beyond
Choose Your Learning Path
Whether you're learning solo or training teams, we have the perfect solution
Individual Learners
Learn at Your Own Pace with AI Support
- Access public lab bank (Docker, Kubernetes, AI/ML, CI/CD, DevOps)
- Instant lab provisioning (< 5 seconds) with GPU access for AI labs
- Personal AI mentor tracking your journey
- Milestone recommendations after each lab
- Perfect for certification prep (CKA/CKAD/CKS, Docker, Cloud, AI/ML)
Training Centers & Universities
Deliver World-Class Technical Education at Scale
- Your own private platformFully branded and isolated environment for your institution
- Manage students & instructorsComplete user management with role-based access
- Create custom curriculumBuild your own labs or use our extensive public library
- AI-powered learningEvery student gets personalized feedback and guidance
- GPU clusters for AI/ML coursesTeach cutting-edge technologies with real infrastructure
- Track student progressDetailed analytics, grading, and competency tracking
Everything You Need to Master Modern Tech
A complete learning platform built for the demands of today's DevOps, Cloud, and AI professionals
Lightning-Fast Labs
Launch fully configured environments in under 5 seconds. No waiting, no setup, just instant hands-on practice.
Real Environments + GPU Clusters
Practice with actual Docker, Kubernetes, cloud-native tools, and GPU-accelerated AI/ML environments, not simulations.
Browser-Based Everything
No installation needed. Full terminal, Jupyter notebooks, and desktop environment in your browser with VNC support.
Automated Validation
Get instant feedback as you work. Multi-step verification with AI agents analyzing your approach.
AI Mentorship System
Four specialized AI agents guide, hint, mentor, and provide feedback throughout your journey.
Enterprise Ready
RBAC, audit logs, usage limits, and multi-tenancy for secure team training.
How It Works
From zero to hands-on practice in seconds, backed by AI every step of the way
01
Choose Your Lab
Browse our catalog with AI-recommended labs tailored to your learning path
02
Launch in Seconds
Click start and your environment is ready in under 5 seconds: terminal, tools, and all
03
Practice with AI Support
Work hands-on with real tools while AI agents provide hints and guidance when needed
04
Complete & Progress
Get detailed feedback, track your growth, and discover your next milestone
Why Waste Time Waiting? Your Lab is Ready Before You Are
Traditional setups take forever. We get you practicing in seconds.
Traditional Setup
Install Docker, kubectl, tools
5-10 minutes
Configure cluster access
3-5 minutes
Install GPU drivers, CUDA
10-20 minutes
Troubleshoot compatibility issues
10-30 minutes
15-30 minutes
Before you can start learning
MyLabSkills
Click "Start Lab"
1 second
Environment provisioning
2-3 seconds
Terminal ready with all tools
1 second
Start learning!
Immediate
< 5 seconds
From click to hands-on practice
Everything Pre-Configured
Instant provisioning
For any lab complexity
All dependencies
Pre-installed and configured
GPU ready
CUDA, PyTorch, TensorFlow
Instant teardown
Restart anytime
Technologies Supported
Docker
Kubernetes
Git
CI/CD
Terraform
PyTorch
TensorFlow
JupyterDockerKubernetesGitCI/CDTerraformPyTorchTensorFlowJupyterTrain Models on Real GPU Clusters
Practice AI/ML in production-grade environments with GPU acceleration, pre-configured frameworks, and instant access to the tools professionals use.
GPU-Accelerated Environments
Access to GPU clusters for deep learning and model training
Pre-installed Frameworks
PyTorch, TensorFlow, JAX, Hugging Face ready to use
Jupyter & Terminal Access
Practice model training, fine-tuning, and deployment
Resource Management
Monitor GPU utilization and optimize your workloads
Popular Use Cases:
Computer Vision labsNatural Language ProcessingModel fine-tuning and optimizationMLOps and model deployment
gpu sessionmylab.skills / gpu sessionCUDA ready$ nvidia-smi
GPU Memory-Usage GPU-Util
0 32.1GiB / 40GiB 87%
$ python train.py
Training on GPU… epoch 1/10
$
Model training in progress
Examples
One Kubernetes session, from the first command to the next milestone, with the four agents doing their part.
kubernetes-basicsmylab.skills / kubernetes-basicslab ready in 4.2sLab session ready: cluster provisioned
$ kubectl apply -f deployment.yaml
deployment.apps/webapp created
$ kubectl get pods
webapp-5d9f 1/1 Running
$ kubectl expose deployment webapp --port=80
service/webapp exposed
$ kubectl get svc webapp
webapp ClusterIP 10.96.0.1 80/TCP
── submitted for grading ──
✓ 3 / 3 verification steps passed · 100 pts
$
Session in progress
- Hints agentduring the lab
Your deployment is running but nothing can reach it yet. Try exposing it with a Service before you check the pods again.
- Feedback agentafter submission
Strong grasp of deployments and services. You reached for kubectl expose on your own. Networking between namespaces is the gap to close next.
- Guidance agentnext milestone
Kubernetes Basics is done. Your next lab puts the same skills to work on a GPU node.
Train a PyTorch model on a GPU clusterJupyter, CUDA ready, 45 min - Mentor agentyour path
You are on track for the DevOps Engineer path. Three labs until Cloud Deployment mastery, and the ML Engineer branch opens right after.
The Numbers That Matter
No vanity metrics, just what your learning experience runs on
< 5s
Average Lab Launch Time
4
Specialized AI Agents
100%
Browser-Based, Zero Setup
24/7
Labs & GPU Availability
Contact
Let's talk about your labs.
Book a demo, get pricing for your institution, or ask us anything.
- 01Tell us about your team, your courses or what you want to see.
- 02We reply at your address with a walkthrough slot or answers.
- 03Custom curriculum, private labs and GPU environments if you need them.
Prefer email?info@mylabskills.com
New requestReady