Learn by Building with Real Tools
Every SkilDock course includes hands-on labs where you work with Docker, Kubernetes, AWS, Kafka, Terraform, and the same production tools used by engineering teams worldwide. No toy environments. No simulations.
Three Lab Tiers
We match the lab environment to the technology being taught.
Docker Labs
Docker LabRun entirely on your local machine using Docker containers. No cloud account needed, no cost, no time limits. These labs spin up realistic environments with databases, message queues, and application servers in seconds. Perfect for practice and experimentation.
AWS Free Tier
AWS Free TierUse real AWS services within the Free Tier limits. You get hands-on experience with production cloud infrastructure without significant cost. We guide you through account setup, resource cleanup, and cost monitoring to ensure you stay within free limits.
Instructor Demo
Live DemoSome labs involve expensive infrastructure (GPU clusters, enterprise tools) that would be impractical to replicate individually. The instructor demonstrates these live while you follow along and interact. You still learn the patterns and can replicate them when needed.
All Labs
Browse labs by course. Click any lab to see full details.
Cloud DevOps Engineering
View courseLinux Server Setup & Hardening
Provision an Ubuntu server, configure SSH key authentication, set up firewall rules, and harden the system for production use.
Containerize a Full-Stack Application
Write a multi-stage Dockerfile, build optimized images, and run a full-stack app with Docker Compose.
Provision AWS VPC with Terraform
Write Terraform modules to create a production-grade VPC with public/private subnets, NAT gateway, and security groups.
Deploy Microservices on Kubernetes
Create Deployments, Services, ConfigMaps, and Ingress resources to run a microservices application on a local K8s cluster.
Build CI/CD Pipeline with GitHub Actions
Design a complete CI/CD pipeline that builds, tests, scans, and deploys a containerized application.
Production Monitoring with Prometheus & Grafana
Set up Prometheus for metrics collection, configure Grafana dashboards, and create alerting rules for a running application.
Data Science
View courseData Cleaning & EDA with Pandas
Clean a messy real-world dataset, handle missing values, detect outliers, and create visualizations to extract business insights.
Build a Classification Model with Scikit-Learn
Train, evaluate, and tune a classification model. Compare algorithms, handle imbalanced data, and interpret results.
Python Backend Engineering
View courseBuild a REST API with FastAPI
Design and implement a production-ready REST API with authentication, validation, database integration, and automatic docs.
Testing Python Applications with Pytest
Write unit tests, integration tests, and API tests. Set up fixtures, mocks, and test coverage reporting.
Generative AI Engineering
View courseBuild a RAG Pipeline with LangChain
Implement Retrieval-Augmented Generation to build a chatbot that answers questions from your own documents.
Fine-Tune an LLM for Domain Tasks
Fine-tune a small language model on domain-specific data using LoRA and evaluate its performance against the base model.
System Design
View courseDesign a URL Shortener System
Walk through the full system design process for a URL shortener: requirements, API, database, scaling, and trade-offs.
Design a Notification System
Design a multi-channel notification system handling email, SMS, push, and in-app notifications with delivery guarantees.
Java Backend Engineering
View courseFull-Stack Python React
View courseData Engineering
View courseBuild a Streaming Pipeline with Kafka
Set up Kafka brokers, create producers and consumers, and build a real-time data pipeline for event processing.
Build an ETL Pipeline with Apache Airflow
Design and orchestrate a multi-step ETL pipeline with Airflow DAGs, task dependencies, and monitoring.
These Labs Are Included in Our Courses
Pick your track to get started. Every course includes hands-on labs, real projects, and career support.