DataHack - Data Science, Machine Learning & Statistics

Want to turn an AI idea into a real, working system – not just a demo?
In this 6-week hands-on paid course, you’ll design and build an AI-powered feature or MVP in small groups, with close industry mentorship.

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🚨 Important – PAID course & registration ONLY via Google Form

RSVP on Meetup does not count as registration.
To join, you must fill out this form:
👉 https://forms.gle/aAuhDiofqT56iSMP9

Cost: 2,500 ₪ per participant, paid by your employer to the DataHack nonprofit (no private payments).
Full payment details & FAQ: 👉 https://bit.ly/aisysdesignFAQ

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🛠️ What you’ll work with

• Agents, tools & function calling
• RAG & data pipelines
• MCP & multi-step workflows
• Model serving & inference
• Prompt engineering, evaluation & cost/production considerations

You’ll leave with a real, working MVP or feature – not just slides or prompts.

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👥 Who is this for?

• Data Scientists
• Data / Software Engineers
• AI / ML Engineers

You should be comfortable coding and come with an AI-based feature or product idea, and commit to building it throughout the program (solo or in a small group).

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📅 When & 📍 Where
In-person Wednesdays (6 meetings):
· 4.3 · 11.3 · 18.3 · 25.3 · 15.4 · 22.4
Where: SimilarWeb TLV offices + weekly Zoom lectures
! Attendance at in-person sessions is expected.

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🌙 About DataNights
The course is part of DataNights, a DataHack program supporting women, diversity and knowledge-sharing in Israel’s AI & Data Science community. Your employer’s payment helps fund these activities.

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✅ How to register

1. Fill out the form: 👉 https://forms.gle/aAuhDiofqT56iSMP9
2. Confirm your employer can pay the fee as a donation.
3. Wait for confirmation and payment instructions.

Reminder: Meetup RSVP ≠ registration. Only those who complete the Google Form + payment will have a spot.

💬 Questions?
Reach out to us at contact@datahack.org.il

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 – 16.3, 23.3, 30.3.2026
• 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