Expert hands-on labs
15 expert-level labs across cloud, Kubernetes, industrial IoT, computer vision, and AI manufacturing — built from real factory experience.
☁️ Cloud Infrastructure
Build, scale, and optimize cloud platforms for manufacturing.
GCP for Manufacturing
Deploy your first manufacturing monitoring system on Google Cloud. Build VPC, Compute Engine, and Cloud Storage from scratch.
Multi-Region Cloud DR
Build disaster recovery for a manufacturing plant across two GCP regions. Validate RTO/RPO with a planned failover drill.
Cost Optimization for Cloud Manufacturing
Optimize a $50K/month cloud bill for a manufacturing operation. Apply CUDs, spot VMs, lifecycle policies, and egress controls.
🐳 Kubernetes & Orchestration
From edge K3s clusters to multi-plant Rancher fleets.
Kubernetes for Edge Computing
Deploy your first edge K8s cluster for a manufacturing facility using K3s on industrial hardware.
Rancher Multi-Cluster Management
Manage 5 K8s clusters across multiple plants using Rancher. Roll out workloads with Fleet GitOps and watch them with Prometheus.
K8s for Industrial Workloads
Deploy production-grade industrial applications on Kubernetes including time-series databases, message brokers, and analytics services. Learn how to scale stateful workloads and harden container security for industrial environments.
Real-world scenario: Build a production-ready K8s deployment for a connected factory running time-series data collection, MQTT message brokers, and real-time analytics services serving 1000+ sensor streams.
- Helm charts for industrial applications
- StatefulSets for time-series databases
- Custom Operators for managing applications
- Container security hardening
🏭 Industrial IoT & Performance
Connect factories and analyze production performance.
IoT Network Design
Design a sensor network for a 500-machine factory. Plan topology, stand up an MQTT broker, and segment OT from IT.
Production Performance Analytics
Build a production performance analytics system that monitors throughput, identifies bottlenecks, and forecasts performance trends across manufacturing lines.
Real-world scenario: Deploy a performance analytics platform for a 10-machine production line. Identify bottlenecks reducing throughput by 20% and provide data-driven recommendations to improve overall line efficiency.
- Throughput optimization analysis
- Bottleneck identification techniques
- Production loss attribution methods
- Performance trend forecasting
Industrial Network Troubleshooting
Debug network issues in a factory environment. Analyze Modbus/TCP and OPC-UA traffic with Wireshark to find a real failure.
👁️ Computer Vision for Industry
Build intelligent visual systems for manufacturing and inspection.
Visual Quality Inspection Fundamentals
Build your first computer vision system to detect defects in manufactured products. Learn the foundations of CV-based quality control used across modern factories.
Object Detection for Industrial Tracking
Use YOLO and modern object detection to track inventory, monitor production lines, and ensure worker safety in industrial environments.
Real-world scenario: Real-time tracking of pallets in a warehouse, monitoring production line throughput, and detecting workers in restricted safety zones.
- YOLO architecture and deployment
- Real-time video processing pipelines
- Multi-camera coordination
- Tracking algorithms (DeepSORT, ByteTrack)
Industrial OCR & Document Intelligence
Build AI systems to read industrial labels, serial numbers, gauges, and documents automatically. Critical for traceability and compliance in modern factories.
🏗️ AI Manufacturing & Smart Factories
Learn to design and build AI-driven factories.
AI Factory Design Fundamentals
Learn the principles of software-defined manufacturing and how modern AI-driven factories work. Design modular production lines for AI hardware manufacturing.
Real-world scenario: Design a modular factory layout for assembling AI server racks, capable of being reconfigured for different product types within hours instead of weeks.
- Software-defined manufacturing concepts
- Modular production line architecture
- Microfactory design principles
- AI data center hardware manufacturing
Computer Vision for Quality Control
Build production-grade computer vision systems for automated quality inspection on manufacturing lines.
Robotics + AI Integration
Integrate AI vision with robotic systems for intelligent assembly. Learn how cobots (collaborative robots) use AI to work alongside humans.
Real-world scenario: Program a robotic arm with AI vision to identify and assemble components autonomously, adapting to variations in part orientation and quality.
- ROS2 fundamentals for AI integration
- Vision-guided robotic manipulation
- Collaborative robot (Cobot) programming
- AI-driven pick-and-place systems