Industrial Automation Mastery 100 OT & PLC Labs

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Free Download Industrial Automation Mastery 100 OT & PLC Labs
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English (US) | Duration: 13h 11m | Size: 1.08 GB
From siloed PLC logic to secure smart factories with SCADA, IIoT, Kubernetes, OT security & CI/CD.

What you'll learn
Master IEC 61131-3 automation programming using Ladder Logic, Structured Text, Function Block Diagrams, and Sequential Function Charts.
Architect and deploy production-grade PLC control systems with OpenPLC, including timers, counters, PID loops, alarms, recipes, interlocks, and automated testin
Engineer industrial communication pipelines using Modbus TCP/RTU, OPC UA, MQTT, Sparkplug B, Node-RED, and protocol gateways.
Build complete SCADA and HMI environments with ScadaBR, Node-RED, Grafana, real-time alarms, historical trends, RBAC, and supervisory control.
Design resilient industrial systems with watchdogs, fail-safe states, safety interlocks, redundancy, FMEA, automated recovery, and fault-injection testing.
Engineer industrial data platforms using TimescaleDB, Prometheus, Grafana, Kafka, OEE analytics, telemetry pipelines, retention policies, and anomaly detection.
Architect and harden OT networks using Purdue-model segmentation, VLANs, firewalls, WireGuard, SSH hardening, secrets management, IDS, and IEC 62443/NIS2-orient
Containerize and orchestrate industrial workloads with Docker, K3s, Helm, persistent storage, edge-to-cloud synchronization, monitoring, HA, and disaster recove
Build DevOps pipelines for industrial automation using Git, CI/CD, automated PLC testing, artifact management, Terraform, Ansible, semantic versioning, rollback
Architect a sovereign smart-factory platform integrating PLC control, SCADA, IIoT, industrial data engineering, cybersecurity, Kubernetes, CI/CD, local AI, comp
Requirements
Required
1. A modern Windows 10/11, Linux, or macOS computer
2. 16 GB RAM recommended; 8 GB is possible with reduced workloads
3. 50-100 GB of free disk space recommended
4. Internet connection for downloading software, containers, and packages
5. Basic ability to install software and use a terminal/command prompt
6. Basic programming concepts are helpful but not mandatory
7. Willingness to work with Linux commands and configuration files
Software Used Throughout the Course
1. Docker + Docker Compose
2. OpenPLC Editor & Runtime
3. Python 3.x
4. Git
5. Node-RED
6. Terraform
7. GitHub Actions
8. K3s Kubernetes
Description
This course contains the use of artificial intelligence.
I only charge a fee solely for the time invested in building this comprehensive curriculum.Stop Vibe Coding. Start Engineering Industrial Systems.
There is a major difference between making somethinglook like it works and engineering a system that can be trusted when the consequences of failure are real.
Modern automation is moving rapidly beyond isolated PLC cabinets and proprietary control rooms. Today's industrial environments increasingly combinePLC logic, SCADA, IIoT telemetry, edge computing, databases, cybersecurity, containers, observability, and automated deployment.
That creates a new problem.
A developer who can write code is not automatically an automation engineer.
A PLC programmer who can write Ladder Logic is not automatically an OT architect.
And someone who can deploy a Docker container is not automatically prepared to secure a production industrial network.
This course is designed to close that gap.
From Your First PLC Bit to a Smart Factory
This is not a collection of disconnected tutorials.
It is a100-lab engineering progression.
You start with the fundamentals: digital inputs, outputs, Start/Stop logic, timers, counters, PLC deployment, and basic HMI communication.
Then the architecture grows.
You move into Structured Text, Function Block Diagrams, Sequential Function Charts, PID control, reusable function blocks, alarms, state machines, automated PLC testing, and increasingly complex process logic.
From there, the system becomes connected.
You will work withModbus TCP, Modbus RTU, OPC UA, X.509 certificates, MQTT, Sparkplug B, Node-RED, and industrial protocol analysis.
Then you build the control room.
You will deploySCADA, HMI screens, alarms, historical trends, operator permissions, Grafana dashboards, and supervisory control.
The objective isn't simply to make a dashboard display a number.
The objective is to understand the engineering chain
Physical Process → PLC → Industrial Protocol → Gateway → SCADA → Historian → Observability → Security → Automated Operations
What's Inside the 100-Lab Journey?
Labs 1-10 - Build Your First Virtual Factory
Start from zero.
Set up Docker, deploy OpenPLC, learn IEC 61131-3 concepts, create Ladder Logic, deploy your first PLC program, connect an HMI, implement timers and counters, debug variables, and finish your first automated conveyor simulation.
You go from "I have never programmed a PLC" to controlling a complete simulated process.
Labs 11-20 - Think Like a Controls Engineer
Move beyond basic Ladder Logic.
You will implement Structured Text, Function Block Diagrams, state machines, analog scaling, PID algorithms, alarm systems, recipes, arrays, and software-in-the-loop testing.
The module culminates in acomplex batch reactor control sequence.
Labs 21-30 - Connect the Industrial World
Industrial systems cannot exist in isolation.
Learn how Modbus, OPC UA, MQTT, and Sparkplug B actually move industrial information.
Secure OPC UA communications with certificates, build protocol gateways, connect Node-RED to industrial data, and inspect packets using Wireshark.
Your milestone is amulti-protocol industrial data aggregation gateway.
Labs 31-40 - Build the Control Room
Now your virtual factory gets a real operational interface.
Deploy SCADA.
Build synoptic screens.
Implement alarms and priorities.
Create historical trends.
Configure access control.
Connect Grafana.
Build Node-RED operator interfaces.
Implement supervisory overrides and interlocks.
The result is afully operational plant-floor SCADA control room.
Labs 41-50 - Engineer for Failure
Real engineering begins when things go wrong.
You will study safety concepts, E-Stops, interlocks, watchdogs, redundancy, FMEA, graceful degradation, sensor faults, runtime failures, automated recovery, and fail-safe state machines.
The milestone is afail-safe press-brake safety interlock system.
The philosophy changes from
"What happens when everything works?"
to
"What happens when something fails?"
Labs 51-60 - Turn Machine Data Into Intelligence
Your automation platform now becomes a data platform.
Deploy TimescaleDB.
Stream Modbus and MQTT telemetry.
Implement retention and compression.
Build Grafana analytics.
Calculate OEE using SQL.
Introduce Kafka-based event streaming.
Experiment with lightweight anomaly detection.
Export historical production information for compliance reporting.
You finish with anenterprise-grade industrial data historian.
Labs 61-70 - Defend the OT Environment
Connecting industrial systems creates enormous responsibility.
You will apply thePurdue Reference Model, network segmentation, VLANs, firewall policies, SSH hardening, vulnerability scanning, Snort IDS, WireGuard encryption, secrets management, and compliance-oriented security controls.
The goal is not theoretical cybersecurity.
You will build and test ahardened zero-trust industrial cell architecture.
Labs 71-80 - Bring Kubernetes to the Factory Edge
Now the infrastructure becomes distributed.
Containerize PLC and SCADA workloads.
Deploy K3s.
Manage industrial workloads with Helm.
Configure persistent storage.
Handle intermittent connectivity.
Implement OTA deployment concepts.
Monitor edge resources.
Build high availability.
Practice disaster recovery.
You finish by operating acloud-managed distributed edge automation fleet.
Labs 81-90 - Bring Software Engineering Discipline to OT
Industrial code deserves version control and automated quality gates too.
You will build Git workflows for PLC source code, automated checks, CI/CD pipelines, compilation pipelines, multi-architecture artifacts, Terraform infrastructure, Ansible configuration management, HIL/SIL testing, release management, rollback testing, and automated deployment.
The milestone
A full CI/CD factory automation deployment pipeline.
This is where OT starts behaving like modern software engineering-without ignoring the realities of industrial control.
Labs 91-100 - Sovereign Industrial Architecture
The final module moves into advanced territory.
You will explore
- Air-gapped industrial networks
- Local-first data sovereignty
- Computer vision quality inspection
- Local LLM operational assistants
- Energy optimization
- Multi-site telemetry
- Industrial forensics
- Architecture documentation
- Chaos engineering
- Stress testing
- Recovery engineering
And then comes the final challenge.
Lab 100: The PhD-Level Capstone
You will design and operate anend-to-end Autonomous Smart Factory Orchestration Platform.
This is not a toy dashboard.
Your final architecture combines
OpenPLC for industrial control
↓ Modbus TCP + MQTT/Sparkplug B for industrial communications
↓ Node-RED for edge integration
↓ ScadaBR + Grafana for supervision and observability
↓ TimescaleDB for high-frequency industrial history
↓ Prometheus for infrastructure monitoring
↓ Docker + K3s for containerized execution
↓ GitHub Actions for automated delivery
↓ Terraform + Ansible for infrastructure automation
↓ WireGuard + Firewall Policies + Snort for security
The architecture follows a structured Purdue-style separation between process control, supervisory operations, and enterprise-level systems.
You will deliberately introduce failures and test whether the system can survive them.
Containers fail.
Networks partition.
Nodes reboot.
Code changes break.
Telemetry becomes abnormal.
Systems must recover.
That is the difference between demonstrating software andengineering an operational platform.
The capstone is best understood asPhD-level in systems-thinking depth, not as an academic PhD qualification. It forces you to combine controls engineering, industrial networking, software engineering, cybersecurity, data engineering, DevOps, and distributed systems into one coherent architecture.
Why Enroll Now?
Industrial automation is no longer isolated from modern computing.
The engineer of the future needs to understand both sides
OT + IT
PLC + Cloud
Control Logic + Software Engineering
Physical Processes + Cybersecurity
Telemetry + Data Engineering
Automation + AI
This course gives you a structured environment to build those capabilities progressively rather than trying to assemble them from hundreds of disconnected tutorials.
You don't need an expensive PLC lab.
You don't need proprietary industrial software.
You don't need a factory.
You need a computer, curiosity, and the willingness tobuild, break, secure, observe, test, and rebuild systems properly.
By Lab 100, you won't simply have watched 100 lessons.
You will have engineered a complete industrial automation ecosystem.
Start with your first virtual PLC.
Build the factory.
Break the factory.
Secure the factory.
Automate the factory.
Then build yourSovereign Industrial HQ.
Who this course is for
1. The Aspiring Automation & Controls Engineer
You understand that PLC programming alone is no longer enough.
2. The Software/DevOps Engineer Moving Into Industrial Technology
You already understand Linux, Docker, Git, Kubernetes, CI/CD, or cloud infrastructure-but OT feels like a completely different world.
3. The Senior Engineer Building Sovereign Industrial Infrastructure
You don't want your automation architecture trapped inside expensive proprietary ecosystems.
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