How to build a real-world ML system in just 3 hours that gets your hired

(Works even if you NEVER learned MLOps, deployed zero models & stuck in Notebooks)
Get full code & 3h video course for the above end-to-end ML system
🔑 Access Blueprint Now for $97
Free & Premium ML Courses
Build a Machine Learning Portfolio
Grow Your Career & Ace Interviews
Real-world ML Guides and end-to-end ML Projects

Did you know that the #1 reason entry-level DS candidates get ignored is a lack of end-to-end ML experience?

rejected

Which means....

  1. You spend weeks filling out online applications
  2. Getting no calls back
  3. Watching other people getting hired

Luckily for you, there is now a solution:
"ML Project Blueprint"


‍

The framework that helps you start building end-to-end ML systems, even if you have no idea how to start.

What is "ML Project Blueprint?"

01

Complete workflow that builds an ML system from raw data to cloud deployment, which means:

1. You will understand how to transform Notebook code into a deployed ML solution running on the cloud in real-time.
2. You will fully understand every step of a real-world ML system development.
workflow that built ml system
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02

Complete Python code of the End-to-End ML System, which means:

1. You'll attract new job opportunities from today by adding it to your ML Portfolio
2. You can use this template to build at least 1-2 more ML Projects in just 1 week.
3. You'll learn Docker setup to finally understand containerization and get ahead of 95% of applicants.
python code for end to end ml system
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03

3 hours of video lessons, which means:

1. You'll learn how to build this project from scratch, including Docker, User Interface, Hyperparameter Tuning, and more.
2. You can easily explain in interviews how you built this ML app.
3 hours video lessons
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04

Interactive dashboard, which means:

1. You can stand out in interviews by demonstrating your ML model effectively.
2. You'll learn how to create User Interfaces for ML apps.
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05

Professional GitHub Repo with Code & Project Description, which means:

1. You can get job opportunities from Day 1 by sharing it with companies and your network.
2. You'll understand how to make your code and project look professional.
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06

Detailed Architecture Diagrams, which means:

1. You'll clearly understand the full ML architecture, including   ML Pipelines and Docker containers.
2. You'll outshine 95% of candidates in interviews by explaining the ML System logic and architecture.
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Hi, my name is Timur

I am a Principal Data Scientist & Hiring Manager with 8+ years in ML
-
I built 10+ end-to-end ML Solutions that bring $100 mln/year value to my clients
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I am the World TOP 3 LinkedIn Expert in ML & DS
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I helped 100+ clients to grow ML careers & land ML jobs
-
5 years in DS Team Leading and Hiring
-
2 years of ML career consulting experience
-
I have a PhD in Applied Machine Learning
timur

This is what your peers say

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What if I don't like the course?

I'll give you 100% refund.

Because I'm completely confident in the value of this course, here's my promise:
If within 14 days you're not satisfied or it's not helping you build ML systems as described, contact me for a full refund.
No questions asked.
guaranteed
🔑 Access Blueprint Now for $97

Frequently Asked Questions

  • Q1: Who is this ML Project Blueprint for?

    A: It’s for anyone trying understand how to build real-world ML systems and get higher paying ML roles

  • Q2: Is there a refund policy?

    A: Yes, if within 14 days you believe the product is not worth its price or doesn't help you to start building end-to-end ML systems, you will get a refund.

    No Questions Asked.

  • Q3: What exactly do I get in this product?

    A: You’ll get:

    • Ready-to-run ML project that you can add to your portfolio today.

    • Easy to reuse template to build 1-2 portfolio ML projects in 1 week to outshine other candidates.

    • 3 hours of detailed videos to learn the complete end-to-end ML system development process.

    • Interactive dashboard to demonstrate your ML model effectively and stand out in interviews.

    • Complete Docker setup to finally understand containerization and get ahead of 95% of applicants.

    • GitHub Repo with Code & Project Description, which means you don't spend time making your code and project look good.

    • Solution diagrams to present your project professionally on GitHub & Interviews.

  • Q4: Do I need to be ML, Python or Docker Expert to use this Blueprint?

    A: No.

    You do need to know some Python and basic ML principles.

    But by watching the video lectures and with some support of ChatGPT, you will be able to understand how this project is built, EVEN IF you don't understand some part of the project.

  • Q5: What makes this different from free resources?

    A: This system is built from:

    • From 8+ years of ML experience
    • 5 years of leading Data Scientists
    • 3 years of teaching ML
    • 2 years of ML Career consulting.
    ‍
    So, using this framework, you’re not guessing.

    You get EXACTLY what you need to start building ML systems.

    This will be a great foundation to learn how to build more complex ML systems as you grow you skills.

  • Q6: Do you guarantee 100% that I'll get interview calls?

    A: I can't guarantee that because landing a job is a process that depends on many factors, such as your profile, network, etc.

    But what I can promise is that it will significantly increase your chances of getting a job because:

    1. You will understand how to build ML systems.

    2. You will outshine 95% of other candidates.

    3. You can confindently share this project with your network or LinkedIn connections, who can refer you to positions.

Build real ML systems and start getting interview calls. Now.

This is what you get

•
Complete workflow that builds an ML system from raw data to cloud deployment
•
Ready-to-run ML project that you can add to your portfolio today.
•
Easy to reuse template to build 1-2 portfolio ML projects in 1 week to outshine other candidates.
•
3 hours of detailed videos to learn the complete end-to-end ML system development process.
•
Interactive dashboard to demonstrate your ML model effectively and stand out in interviews.
•
Complete Docker setup to finally understand containerization and get ahead of 95% of applicants.
•
GitHub Repo with Code & Project Description, which means you don't spend time making your code and project look good.
•
Solution diagrams to present your project professionally on GitHub & Interviews.
🔑 Access Blueprint Now for $97