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Techno Chem Academy

Industrial training

AI and machine learning training for plant teams: a briefing for leaders, a bootcamp for engineers and a capstone on your own data.

A process plant structure with columns and pipe racks beside the sea

Three programs, one path.

Run one on its own or all three in sequence. Each one starts from your plant's own problems.

Leadership briefing

T-201

A short list of AI use cases worth funding at your site.

For
Plant heads, operations and digital leads
Duration
Half day or full day
Format
On site or remote
Approach
Discussion and worked examples

Practitioner bootcamp

T-202

Engineers who can build and check a soft sensor or anomaly model in Python.

For
Process and production engineers
Duration
3 to 5 days, or 6 to 8 weeks part time
Format
On site, remote or blended
Approach
Hands-on Python

Capstone on your own data

T-203

A working prototype on a real problem, such as fouling prediction or a soft sensor for a column.

For
Bootcamp graduates working in small teams
Duration
4 to 8 weeks with weekly mentoring
Format
Runs on your machines, so plant data stays on site
Approach
Hands-on Python
Large insulated process vessels and pipework inside a plant

Your plant data stays on your site.

The capstone runs on your machines. Small teams of bootcamp graduates work on a real problem from your plant, with weekly mentoring for 4 to 8 weeks, and finish with a working prototype.

Plan training for your team.

Tell us about your site, your team and the problems you would like to work on. We will suggest a program and dates.