1
Complete End-to-End Workflow
Build a full ML system from raw data all the way to a solution deployed on the cloud.
%20(1).png)
Become confident in production ML and build MLOps skills companies hire for in just 3 hours
Built for Data Scientists, my 3-hour program shows you how to build production ML systems step-by-step from raw data to cloud deployment without prior MLOps experience.
✓⃝ 14-Day Money-Back Guarantee
✓⃝ Instant Lifetime Access
✓⃝ Deployment is 100% guaranteed
%20(1).png)
.png)
Finally understand how to make your model out of Notebook to production
✓⃝ End-to-end ML feels like the biggest gap in your skills?
✓⃝ Avoiding great job posts because it asks for MLOps?
✓⃝ Feeling behind people who have MLOps skills?
✓⃝ Going outside Notebook makes you anxious?
✓⃝ Avoiding great job posts because it asks for MLOps?
✓⃝ Feeling behind people who have MLOps skills?
✓⃝ Going outside Notebook makes you anxious?
I know these exact feelings because I felt the same many times.
And every successful Data Scientist I know felt this too at some point of the career.
You might even think that you're not smart enough to build and deploy real production ML systems.
But the problem is NOT you.
It's the traditional ML and MLOps courses split:
- ML courses focus purely on model building
- MLOps courses go straight to Kubernetes and CI/CD
In the end, you're left with scattered knowledge and no motivation to learn because it feels impossible.
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.
To help Data Scientists to finally start building ML Systems, I created "ML Project Blueprint" program.
It already helped 500+ Data Scientists to overcome fear of MLOps and properly deploy their first end-to-end ML system.
Without any prior MLOps experience.
In just 3 hours, you can get your real-world ML system up and running and become confident that YOU CAN do it.
And every successful Data Scientist I know felt this too at some point of the career.
You might even think that you're not smart enough to build and deploy real production ML systems.
But the problem is NOT you.
It's the traditional ML and MLOps courses split:
- ML courses focus purely on model building
- MLOps courses go straight to Kubernetes and CI/CD
In the end, you're left with scattered knowledge and no motivation to learn because it feels impossible.
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.
To help Data Scientists to finally start building ML Systems, I created "ML Project Blueprint" program.
It already helped 500+ Data Scientists to overcome fear of MLOps and properly deploy their first end-to-end ML system.
Without any prior MLOps experience.
In just 3 hours, you can get your real-world ML system up and running and become confident that YOU CAN do it.
ML Blueprint builds your MLOps skills from zero to deployment
step-by-step
step-by-step
ML Blueprint makes ML System deployment crystal clear
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.
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.
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.
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.
.gif)
05
Professional GitHub Repo with Code and 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.
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.
Join 500+ Data Scientists who have started building production ML systems with no prior MLOps skills
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.
🔑 Get Instant Access Now
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: Do I have a Lifetime Access?
A: Yes, you will get LIFETIME ACCESS, so you can take the course at any time at your own pace.
- Q3: 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. - Q4: 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. - Q5: 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. - Q6: 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. - Q7: 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.
🔑 Access Blueprint Now for $199
%20(1).png)
ML Project Blueprint
•
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.
.gif)
🔑 Access Blueprint Now for $199