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🟢 TRACK 1
12 of 12 published
🟢 TRACK 1 - TECHNICIAN

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For automation engineers who want to safely use AI agents in their PLC workflows.

You don't need to become a machine learning expert. You don't need to understand transformers or neural networks. You need to know how to safely prompt an LLM, structure its outputs, and constrain its behavior.

This track teaches you to USE agentic AI the way you use a PLC: with clear inputs, predictable outputs, and absolute control.

TOTAL TIME
7h 55m
Hands-on learning
TOTAL COST
$0.36
API costs (estimated)
PROGRESS
12/12
Tutorials published

100% complete

CORE OUTCOMES

  • ✓ Step-by-step PLC code reasoning using the ReAct pattern (no blind code generation)
  • ✓ Prompt-controlled code generation for IEC 61131-3 ST (safe, validated outputs)
  • ✓ Tool-using agents that can call your PLC functions (via MCP or simple APIs)
  • ✓ Structured outputs using Instructor (type-safe, validated LLM responses)
  • ✓ Log-based fault diagnosis where the agent reads PLC logs and suggests actions

PREREQUISITES

  • • Basic PLC programming experience (ladder, ST, or SCL)
  • • Willingness to learn minimal Python (Tutorial T0 covers everything you need)
  • • OpenAI API access (or compatible API like Anthropic, Groq, or local LLM)
  • • No machine learning knowledge required

ALL TUTORIALS

Complete all 12 tutorials to gain full control over agentic AI in your industrial workflows. Start with T0 if you need Python basics.

READY TO START?

Begin with Tutorial T0 if you need Python basics, or jump straight to Tutorial 1 to learn the difference between traditional automation and agentic AI.

→ START WITH T0 (Python Basics) → START WITH TUTORIAL 1