dbt for ML: Build Production-Ready Feature Pipelines (3-Session Paid Course)
Details
Tired of feature pipelines that:
• break silently in production?
• suffer from training–serving skew?
• take hours to rebuild from scratch?
• keep data scientists dependent on data engineering for every change?
In this 3-session hands-on paid course, you’ll learn how to use dbt to build robust, incremental, production-grade feature pipelines for machine learning — using real e-commerce data.
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🚨 Important – This is a PAID course & registration is via Google Form
RSVP on Meetup does not count as registration.
To apply and secure your spot, you must fill out this form:
👉 https://forms.gle/Tf9BzYiq3esVpn3D7
Payment, syllabus and selection details are all in the form.
All instruction is volunteer-based, and all proceeds go to support DataHack’s nonprofit programs advancing diversity and inclusion in AI & data science in Israel.
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🧠 Who is this for?
• Data Scientists
• ML Engineers
• Backend Developers working closely with data/ML
…who want to own their feature engineering end-to-end – from raw data to production-ready features.
Prerequisites:
• Comfortable with SQL
• Basic familiarity with ML concepts (features, training/serving, etc.)
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🔧 What you’ll learn (hands-on)
Over 3 evenings with a 100K+ row e-commerce dataset, you’ll:
• Build layered, incremental dbt models for ML feature pipelines
• Handle late-arriving data and slowly changing dimensions
• Add data quality tests and avoid silent failures
• Write reusable macros and use patterns you can take straight to production
• Connect the dots from raw events → features → production serving
By the end, you’ll have a complete, tested feature pipeline plus the skills to replicate the pattern in your own company.
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📅 When & Where
• Dates: Wednesdays – 4.2, 11.2, 18.2.2026
• Session length: ~2.5–3 hours each
• Location: Check Point offices, Shlomo Kaplan 5, Tel Aviv
• Food: Pizza’s on us 🍕
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💸 Cost & Invoicing
• This is a paid 3-session course.
• We strongly encourage employers to cover the cost as part of your professional development.
• Full pricing and payment details are available in the registration form.
Again: Meetup RSVP is only for interest tracking. It does not reserve a seat.
To actually join the course, fill out the form here:
👉 https://forms.gle/Tf9BzYiq3esVpn3D7
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👋 Who’s teaching?
The course is led by Yuval Gorchover, Head of AI/ML Engineering at Voyantis, and Amihai Offenbacher, a Data Scientist at Voyantis , bringing real-world, production ML experience into the classroom.
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Ready to take control of your feature pipelines?
Apply now via the form and we’ll be in touch with next steps:
👉 https://forms.gle/Tf9BzYiq3esVpn3D7