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How to go from Notebooks to modeling and designing End-to-End ML Systems in just 2 hours

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How to go from Notebooks to modeling and designing End-to-End ML Systems

In just 2 hours, learn how to model and design production ML systems with real-world examples.

Get my 2-hour crash course and learn how to model and design Real-World ML Systems for $99only $11

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Finally understand how End-to-End ML Systems work

✓⃝ Don't know how ML Systems work for which you've been building ML models for years?
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✓⃝ Scared of interview questions about ML System Design?
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✓⃝ Confused how your Notebook code fit production ML systems?
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✓⃝ Talks about ML pipelines, Orchestration & Deployment make you anxious?
I know these exact feelings because I felt the same many times.

You might even think that you're not smart enough to understand how all these ML Systems work.

But the reality is that it's NOT complicated.

The problem is that most courses explain ML System design as if everyone is a DevOps Engineer.

Let aside explaining how Notebook code fits the entire system architecture.
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I'm Timur, a Principal Data Scientist with 8+ years of experience, ranked as the TOP 3 World DS/ML Educator on LinkedIn.

Over these years, I built 10+ end-to-end ML Solutions that bring $100 mln/year value to my clients.

I know how hard it can be to go from Notebooks to building End-to-End ML Systems.

I created this ML System Modeling and Design crash course, so you could also understand how to design ML systems and how they work.

Step-by-step.
Become confident in ML System Design and Modeling

Join 3,100+ Data Scientists who understood how to model and design ML systems with no prior MLOps skills

Start Modeling and Designing Real-World ML Systems. Now.

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Four complete video breakdowns of ML System Designs:
- Demand Forecasting
- Churn Prediction
- Fraud Detection
- Video Recommendations
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Complete ML System Design Guidebook with all the details of how to model and design these ML Systems, so you can quickly revisit the architecture, modeling decisions, diagrams, and implementation logic.
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Four Notebooks with end-to-end modeling examples for these ML systems, so you can see exactly how the data, features, models, and evaluation process come together in practice.
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Detailed explanation of how the Notebook code maps to each ML system design
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Access to the private community with other Data Scientists who are learning and growing alongside you, which means you can meet new friends and career opportunities.