ONK Technologies Inc.
MAY 2 – 16, 2026
Free hands-on workshop

How to
Train an
AI

Label real activated sludge settling images from actual wastewater processing facilities. Watch the model improve. See your work move the numbers. No experience required — just curiosity.

3
Saturdays
16.5h
Total commitment
10
Spots only
$0
Fully sponsored
Sat, May 2 Sat, May 9 Sat, May 16
● On-site — San Jose, CA — 9:00 AM to 12:00 PM each Saturday
What you'll do

Use our Grafana AI Training Workbench to label real images captured by the Settleomatic™ analyzer — an automated wastewater process monitor. Your labels directly retrain a live AI model. You'll see before & after accuracy numbers on Day 2 and Day 3. Your work, measurable.

What you'll learn
How AI vision models learn from dataNeural networks, YOLO, training loops
Grafana & real-time dashboardsIndustry-standard analytics platform
Wastewater AI & activated sludgeEnvironmental monitoring, EPA science
Live AI collaborationBuild real features with Claude on Day 3
Open to everyone
HS students College / university Recent graduates Career changers No CS background needed No prior AI experience
Workshop leaders & organizer
Jason Kim
AI Hardware Architect · Intel (ret.) · 25+ patents · Founder, Xilicom Research Inc.
Seung Oh
Founder, ONK Technologies · Sr. Environmental Engineer, City of LA · 36 yrs · Wastewater domain
Jack Kim
Founder, Silla Enterprise · Settleomatic™ hardware mfr. · Hardware Introduction Day 1
MiSook Chung
Organizer & Facilitator · Former HR Director, Micron · Wharton CHRO
Free & fully sponsored
Only 10 spots
3 Saturdays on-site in San Jose, CA (9 AM–12 PM) + light remote homework Tue & Thu evenings. Bring your laptop. Lunch provided. Certificate + portfolio + letter of rec on completion in good standing. Exact on-site location will be disclosed in the invitation email.
Subject: Workshop Application — [Your Name]
Application deadline
Sunday, April 26
Decisions sent by
Wednesday, April 29
ONK Technologies
Xilicom Research
Silla Enterprise
San Jose, California

* Participants under 18 years of age require written parent or guardian authorization prior to attendance.

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