01
Connecting the plant
Streaming data via OPC-UA, MQTT, MTConnect, and the connector library - and validating the feed.
26 min
AI Academy / Technical
Connect, configure, and tune.
The technical path. Stream and validate plant data, model assets and losses to match your floor, tune the intelligence, and wire the closed loop into the systems already running your lines.
KaizenFlow AI Certified Engineer
Start the course - free
01
Built for the Engineer.
Controls, automation, manufacturing, and integration engineers who connect, configure, and tune KaizenFlow.
Prerequisite
Familiarity with industrial data (OPC-UA / MQTT / historians) and your plant's control stack.
02
What you'll learn.
By the end of this path, you'll be able to:
- Stream and validate plant data via OPC-UA, MQTT, MTConnect, and the connector library
- Configure the asset hierarchy, OEE definitions, and loss taxonomy to match your plant
- Tune baselines, thresholds, and confidence so recommendations are signal, not noise
- Configure and interpret failure-forecasting models by asset class
- Integrate findings into CMMS/MES workflows and verify the closed loop end to end
The modules.
02
Modeling assets and losses
Configuring the asset hierarchy, OEE definitions, and loss taxonomy so numbers mean what your plant means.
26 min
03
Tuning the intelligence
Setting baselines, thresholds, and confidence so recommendations are signal, not noise.
24 min
04
Failure forecasting in practice
Configuring and reading predictive models - MTBF, Weibull, failure-mode clustering - by asset class.
24 min
05
Integrating the closed loop
Wiring findings into CMMS/MES workflows and verifying the loop end to end.
22 min
03
What you earn.
The KaizenFlow AI Certified Engineer credential. The course is free. Certification - the applied assessment and the verifiable credential - is the only paid step: a one-time charge for a credential valid 2 years.
80%
Pass
≈120min
Hands-on lab
2yrs
Valid
$649
To certify
How it's assessed
A timed, hands-on configuration lab against a simulated line: connect and validate a live data source (OPC-UA/MQTT/MTConnect), model the asset hierarchy, OEE definitions, and loss taxonomy, tune baselines/thresholds/confidence, configure a failure-forecast model, then prove a finding flows through to a CMMS/MES work order - with a short written defense of two tuning decisions.
2 attempts included; 14-day cooldown between attempts.
What's tested
- Standing up an OPC-UA/MQTT/MTConnect feed against a simulated source and proving the signal is clean and mapped
- Modeling an asset hierarchy, OEE/TEEP definitions, and loss taxonomy that make the numbers mean what the plant means
- Tuning baselines, thresholds, and confidence so a recommendation is signal not noise - and defending two choices
- Routing a verified finding into a CMMS/MES work order and confirming the closed loop end to end
Every credential carries a unique ID and a shareable badge - verifiable by anyone, no login, valid for 24 months.
04
Answers, up front.
Do I need to replace my MES, SCADA, or PLCs?
No. KaizenFlow sits on top of your existing stack via OPC-UA, MQTT, MTConnect, and 43+ connectors. The path teaches you to connect, not rip and replace.
Is there a hands-on component?
Yes - the credential includes a configuration lab against a simulated source.
What do I earn?
The KaizenFlow AI Certified Engineer credential.
KaizenFlow AI Certified Engineer
Make the data trustworthy.
Start the Engineer path, or talk to us about certifying your integration and controls team.