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Become a TOP Data Scientist who deploys End-to-End ML Systems in just 6 weeks
My 6-week program gives you 35 hours of hands-on training, lifetime access to the project code, 400+ slides and a community, so you can build Production MLOps skills and a brand that companies compete for.
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100% Guarantee of Deployment
30-Day Money-Back Guarantee
No MLOps Experience Required
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How to go from Notebooks to deploying end-to-end ML systems in just 8 weeks
Build and deploy production ML systems that deliver business impact, even if you never deployed anything and hate MLOps
Join to build real-world ML systems
Join to build real-world ML systems
Is this your current career reality?
You struggle to turn Notebooks into Production ML Systems.
You lack MLOps skills that employers expect in job postings and interviews.
You learn MLOps tools but can't connect them into End-to-End ML Systems
My 8 years in the industry and 3 years of ML career coaching have shown that nearly 90% of Data Scientists face these exact challenges.
➜
You struggle to turn Notebooks into Production ML Systems.
➜
You keep learning disconnected tools without a clear MLOps roadmap.
➜
You lack MLOps skills employers expect in job postings and interviews.
My 8 years in the industry and 3 years of ML career coaching have shown that nearly 90% of Data Scientists face these exact challenges.
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.
You simply can't find a clear roadmap that connects all the dots from raw data to production.
In the end, you feel lost, uncertain about your future, and your career opportunities get more and more limited...
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.
You simply can't find a clear roadmap that connects all the dots from raw data to production.
In the end, you feel lost, uncertain about your future, and your career opportunities get more and more limited...
Is this your current career reality?
Every successful Data Scientist I know feels this too.
If you think you're the only one, if you think you're alone.
If you're looking around on LinkedIn wondering how everyone else is building real ML stuff and has successful careers.
When really, behind the curtain, what you don't know is that EVERYONE is as scared and uncertain as you are.
And in the face of such uncertainty, it can be easy to think that you're the problem.
That you're not smart enough to deploy real production ML systems.
That you'll never understand how all these pieces connect together.
And that if you study more and take the courses you have wanted to take for months.
It will finally fill your gaps and resolve all of your doubts.
But here's the reality about learning End-to-End ML...
Why random courses WON'T help you learn End-to-End ML
Most MLOps courses use toy datasets, simple ML models and naive deployment scenarios.
Most ML/DS courses focus on building ML models without real-world production deployment.
Each course teaches something new, but no one shows you how everything connects.
You keep learning, but never reach the point where you feel "Damn, I get the full picture now!"
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How is lack of End-to-End ML skills limiting your career
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You avoid model deployment, because it looks so complex and scary, so you know you'll fail it
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The imposter syndrome hits hard because ANYONE can build ML models, so your skills are not unique
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You feel stuck because the only thing you can do is wrangling data and models in Notebooks
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You feel chronically under the pressure of "I have to learn this" but you don't know where to start
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You can't get rid of the draining feeling "Others know so much more than me"
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You see great ML roles, but once you see required skills, you say "I will not pass"
What 95% of Data Scientists
miss that keeps them away from the best roles
The competition for Data Science roles has never been harder.
Massive layoffs.
Tens of thousands of people are trying to enter the market.
After 8 years in the industry, building 4 ML teams and consulting 100s of Data Scientists, I can say with 100% certainty:
"Perfect ML and MLOps skills are NOT enough"
YOU have to STAND OUT:
Your LinkedIn must work for you 24/7
Your CV must impress within 5 seconds
Your online profile must be exceptional
Otherwise, you'll compete for what's left after the outstanding candidates take the best roles.
Facts about your career that you can't ignore anymore
Ignoring end-to-end ML skills and professional profile visibility leads to the consequences you simply can't afford to have.
You continue being under pressure of feeling stuck, anxious, and behind others
You continue skipping roles because you feel unqualified
Employers continue ghosting you because your profile looks unimpressive
You are slowly but surely approaching a dead-end career
And things are getting even worse.
Many of the current DS roles ask for AI Engineering skills.
And AI Engineering is very hard to learn without MLOps foundations.
Forget about building AI Agents if you can't properly deploy XGBoost.
And here's the question you need to answer deep down right now:
"Is it the career I really want to have?"
Some most common blocks for Data Scientists to learn End-to-End ML
"Where do I even start? What if I learn the wrong tools and waste months?"
"Every time I start, I realize how much I don't know, so give up. How the hell do people know all this stuff?"
"I've tried to understand MLOps so many times... maybe I'm just not smart enough for this."
If you have any of these thoughts, you're not alone.
These questions are an inevitable part of breaking into End-to-End ML.
And these are not the only points that stop your ML career growth.
There's one important piece that makes things even worse...
Imagine a new reality now...
Building production-grade ML Systems with ease
You finally ENJOY building End-to-End ML systems. Everything just clicks, links into a clear picture and opens endless opportunities for growth.
Making your ML systems drive real $$$ impact
You confidently bring business value with your ML models, make it happen in real life and proudly put this into your CV that suddenly stands out.
Growing authority in your current role
You take ownership of the full ML lifecycle, impressing your manager, earning your team's respect, and confidently leading MLOps discussions that accelerate your path to promotion.
Getting 2x more job opportunities
You're no longer skipping roles that require MLOps skills. You now apply to at least 2x more roles with confidence and get more interviews because your skillset truly stands out.
Having companies compete for your talent
You're confident about your future. Recruiters WANT to talk to you because your new End-to-End ML skillset and a perfect profile set you apart.
Making your profile work for you 24/7
You get calls from Hiring Managers because your LinkedIn profile works for you while you sleep. Combined with your new portfolio, it makes your profile irresistible.
What happens after you build End-to-End ML skills and a Top Profile?
You become a TOP Data Scientist with an outstanding profile, so recruiters start reaching out to you
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You confidently deploy models from notebook to production and enjoy the process
You kill imposter syndrome and feel secure about your skills and future
You stop feeling behind others and become the one they look up to
Your work feels meaningful, because you know how to make your ML models drive impact
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You become the go-to person to deploy ML systems which fast-tracks your promotion.
How my past MLOps course helped people gain confidence in End-to-End ML
The reality is that you CAN build production ML systems and a great profile.
You just need step-by-step support from someone who has completed this journey.
Hi, I'm Timur
I'm a Principal Data Scientist with over 8 years of experience in ML and 3 years helping Data Scientists through courses and 1:1 mentorship.
Early in my career, I tried countless times to learn MLOps and build End-to-End ML projects.
But I failed over and over again.
Because End-to-End ML felt too complex and overwhelming.
Now, after dozens of ML projects in 5 industries, I have:
Built 10+ End-to-End ML Solutions
Generated over $100M in business impact with ML
Built and led 4 ML teams with 25+ Data Scientists
But I didn't stop there. I also:
Built one of the TOP LinkedIn personal brands in ML
Reached 3.5M people with my profile & posts last year
Ranked as the #1 out of 1,000,000 LinkedIn Profile
With all this experience, I built a program that helps Data Scientists:
Finally learn how to build End-to-End ML Systems
Boost their profiles and build the careers they deserve
With no prior MLOps experience required.
In just 6 weeks.
In just 6 weeks.
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Introducing the 6-week End-to-End ML, MLOps and Career Accelerator
The complete program that transforms you into a TOP Data Scientist with End-to-End ML Skills and an Irresistible Profile that get you the best roles.
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Click to join the Program now
All you need to boost your MLOps and Career skills to another level
LIFETIME Access to 18 LIVE Sessions recordings (~35 hours)
which means you'll follow comprehensive step-by-step LIVE guidance and ask any questions you have
Full Access to the Project Code
which means you will NEVER get lost and can run the code at your own time to understand every line of it
Access to 400+ Slides of Course Materials
which means you'll be able to learn all the concepts in-depth from the unmatched quality materials
Access to Private Community
which means you'll grow together with like minded people during the program and even after it is finished.
Click to join the Program now
Become confident in building End-to-End ML Systems in just 6 weeks
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This course gave me confidence to build real-world, production-ready ML projects.
It helped me connect the dots across the MLOps lifecycle and understand how real-world machine learning systems are built and maintained.
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Now I know how I can build Production ML Systems.
I can now confidently say that I can deploy and monitor Production Machine Learning Pipelines on my own — not just building the model, but keeping it running reliably.
Today I feel much more confident setting up proper deployment and monitoring.
The program showed exactly how to map business problem all the way through to a deployed monitored solution.
Access 3 LINKED Bootcamps.
Build End-to-End ML Systems.
Take Control of Your Career.
Three LINKED Bootcamps that builds your skills and profile step-by-step
18 LIVE sessions where you get the real-world ML skills, build an End-to-End ML System and transform your profile step-by-step under guidance.
First, you go step-by-step through 3 Notebooks to extract business value from messy real-world data and build production-ready ML models.
Second, you build an End-to-End ML System with me LIVE, step-by-step, function after function, with full code access, so you have ZERO chance to get stuck.
Then, you learn how to upgrade your CV and LinkedIn to make them stand out.
Finally, you turn everything above into a stand-out personal website, learn how to grow your personal brand and how to land more interviews & roles.
All the steps are supported by the bonus materials with all the required templates which means you'll easily implement everything.
You get complete online chat support, so you get prompt answers to any questions and resolve any confusions that you might have.
You get FULL LIFETIME access to all recordings, 400+ pages of supporting materials, code & private community, so you can revisit everything anytime.
You walk away feeling accomplished with transformed real-world ML and MLOps skills and a TOP ML profile, which means significantly more career opportunities.
1 WeekBuild Real-World
ML Skills
ML Skills
4 WeeksBuild & Deploy
Real ML System
Real ML System
1 WeekLaunch Your Career
to the Next Level
to the Next Level
1
Real-World ML
1 Week%20(2).png)
- Analyze real-world data with advanced ML
- Extract business outcomes and value from data
- Build 3 notebooks with preprocessing, modeling, evaluation & monitoring code
Week 1
3 Live Sessions
~6 hours
Sep 21–27
2
End-to-End MLOps
4 Weeks%20(1).png)
- Take 3 notebooks from Real-World ML Bootcamp
- Build a real-world end-to-end ML system
- Simulate real-time ML system behavior
- Deploy and run the system on the cloud
Weeks 2–5
12 Live Sessions
~25 hours
Sep 28–Oct 25
3
Complete Profile Upgrade
1 Week%20(2).png)
- Fully upgrade CV and LinkedIn
- Build a professional website with your deployed ML system
- Learn how to grow your personal brand and authority
- Use all assets to get new roles
Week 6
3 Live Sessions
~5 hours
Oct 26–31
Bootcamp 1: Real-World ML
1
Week 1
From Business Problem to Production-Ready Model
Sessions 1–3
Sep 21–27
We will do this together, step-by-step:
- Learn how to build successful ML projects, link ML with business metrics and estimate $ value from deployment
- Create a scalable project setup and environment with uv + Kedro
- Use Advanced ML for EDA, value discovery and data cleaning
- Develop, evaluate and tune production-ready models with Optuna, CatBoost and PyTorch
- Set up and properly use MLflow server, experiment tracking and model registry
“
It showed exactly how to map business problem all the way through to a deployed monitored solution.
Gbenga Samuel Adebiyi
Data Scientist
★★★★★
Bootcamp 2: End-to-End MLOps
2
Week 2
Building End-to-End ML Pipelines
Sessions 4–6
Sep 28 – Oct 4
We will do this together, step-by-step:
- Design an end-to-end ML system for your solution
- Build complex configurable Feature Engineering, Training & Inference Pipelines in Kedro
- Integrate MLflow Model Registry, Tracking Server and ML pipelines end-to-end
- Connect all pipelines together to train ML models and perform inference in real time
“
The part I found most valuable was learning how to build training, inference and monitoring pipeline using MLflow and Kedro.
Sumedh Prasad
Data Scientist
★★★★★
3
Week 3
Databases, Data Management & Web UI
Sessions 7–9
Oct 5–11
We will do this together, step-by-step:
- Build databases for ML systems for batch and real-time inference
- Develop a Data Management module that connects ML pipelines and SQL databases into an end-to-end system
- Build application entrypoints for Training & Inference Pipelines with static and dynamic data
- Develop a scalable multi-page Web UI application with Dash and connect it to databases, ML pipelines and MLflow
“
I can now confidently say that I can deploy and monitor production machine learning pipelines on my own.
Isis Paola Núñez Franco
Senior Data Scientist
★★★★★
4
Week 4
Monitoring, Testing & Code Quality
Sessions 10–12
Oct 12–18
We will do this together, step-by-step:
- Learn how to monitor ML models and detect univariate & multivariate data and concept drift
- Build a Data Drift Monitoring and Model Re-training pipeline in Kedro for real-time data
- Write unit tests with Pytest, fixtures and conftest to build reliable ML systems
- Learn how to improve Python code quality with linting and auto-formatting with Ruff and type checking with Ty
- Learn what is Pre-commit hooks and framework, why you need it and how to set it up for your ML system
“
Today I feel much more confident setting up proper deployment and monitoring.
Gbenga Samuel Adebiyi
Data Scientist
★★★★★
5
Week 5
Deployment with Docker, CI/CD & the Cloud
Sessions 13–15
Oct 19–25
We will do this together, step-by-step:
- Breakdown Docker concepts: Dockerfiles, Docker-Compose, Volumes and Registry
- Dockerize and deploy to the cloud a multi-component ML solution, from ML pipelines to MLflow server
- Learn what is CI/CD, why you need it and how it works under the hood
- Build and deploy the entire ML System end-to-end with CI/CD Pipeline, Docker Registry and the Cloud
- Identify next steps and topics to learn to continue developing your skills after the Accelerator Program
“
It helped me connect the dots across the MLOps lifecycle and understand how real-world machine learning systems are built and maintained.
Shravanthi Janardhan
Data Scientist
★★★★★
Bootcamp 3: Complete Profile Upgrade
6
Week 6
Building Career Assets, Authority and Career Growth Strategy
Sessions 16–18
Oct 26 – Oct 31
You will learn this, step-by-step:
- How to write a CV that actually lands you more roles
- How to build a LinkedIn profile that makes recruiters message you
- How to build a portfolio that makes companies talk to you (and why a GitHub repo alone can't do that)
- How to efficiently grow your LinkedIn network that brings opportunities you never thought of
- How to get interviews via LinkedIn DMs and InMail messages to recruiters, hiring managers and referrals
- 10 secrets for building a successful LinkedIn personal brand as a Data Scientist
- How to effortlessly generate hundreds of post ideas to grow your ML personal brand on LinkedIn
“
The new CV helped me get my current job! Timur used real facts from my experience and framed them in a way that made me feel proud of what I've done.
Violetta Mishechkina
Machine Learning Engineer
★★★★★
Here's what you will
achieve after the program
Bootcamp 1: Real-World ML
In just 1 week, you will:
- Confidently estimate $$$ business impact from messy real-world data
- Have clarity on how to generate $$$ value with robust ML models with ease
- Confidently apply advanced ML to real-world data to uncover insights
- Easily build ML Models that work in Production, not only in Notebooks
Now I feel much more confident in breaking down a problem.
Build and validate a solution in a notebook and then take all the way to production using MLOps best practices.
Bootcamp 2: End-to-End MLOps
In just 4 weeks, you will:
- Confidently build and deploy End-to-End ML Systems FROM SCRATCH for real-world data and business problems.
- Relieve any confusion, anxiety, and fear of End-to-End ML by building ML Solutions that deliver real-world value.
- Confidently apply for DS positions that require MLOps skills.
- Immediately stand out because you'll have a TOP‑level profile and project that no other candidates have.
Now I can deploy and monitor Production ML Pipelines.
I can do it on my own — not just build the model, but keep it running reliably.
Bootcamp 3: Complete Profile Upgrade
In just 1 week, you will:
- Create an IRRESISTIBLE PROFILE which works for you 24/7
- Become a TOP candidate for most ML Roles
- Use a proven system for getting more interviews for the roles YOU want
- Grow your personal brand on LinkedIn that builds your authority and creates job opportunities
Sabiq Mohamad
Data Scientist
“Timur provided me with a clear roadmap for landing a great job”
Timur's guidance has helped me rethink my future career, and I truly appreciate the knowledge and advice he shared with me.
Build skills and assets that move your career forward
Build a Real-World End-to-End ML System under guidance
Build a Production-grade ML System, from raw data to orchestration and cloud deployment.
Follow coding steps LIVE, so you'll understand everything and have zero chance to get stuck.
Learn everything you need to confidently apply for most of the DS roles that require MLOps skills.
Deploy the system on the cloud, so you could easily share it and instantly impress Hiring Managers.
Build a fully functional ML platform, not a simple dashboard
Build a platform with a professional interface that serves ML model prediction and monitors performance in real time.
Connect the platform with ML model tracking and registry, so you can make informed decisions about model deployment
Embed ML pipelines and solution structure overview, so you can clearly explain the full ML solution to hiring managers.
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Get confident in End-to-End ML and MLOps concepts
ML System
Development
ML Pipeline Configuration
Model Registry & Versioning
Model Promotion Workflows
MLflow Experiment Tracking
Feature Eng., Training & Inference Pipelines
Model Monitoring & Re-training
Containerization and Deployment
ML Pipeline Orchestration
GitHub Actions CI Pipelines
GitHub Actions CD Pipelines
Automatic Cloud Deployment
Dockerfiles, Docker Volumes & Registry
Complex Multi-service Docker Compose
Data Management and Monitoring
Data and Concept Drift Detection
Automated Re-training
Multi-page User Interface
Model Performance Monitoring
Database Connectors and Schemas
Building Data Management Modules
Software
Development
Code Formatting and Typing Frameworks
Pre-commit Hooks
Code Linting (Ruff)
Code Modularization
Unit Testing with Pytest
Model Building, Tuning and Tracking
Metrics and Models Selection
Anomaly Detection
Robust ML Model Building
MLflow Experiment Tracking
Optuna Hyperparameter Tuning
Data Cleaning and
Feature Engineering
Data Profiling
Data Filtering & Denoising
Advanced Outlier Removal
Time Series Signal Processing
Advanced Feature Engineering
Frameworks and libraries you will confidently use after the program
You will easily connect all these frameworks and libraries into one End-to-End Production-grade ML System that runs on the cloud and drives business value
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Visual explanations will make learning feel easy and intuitive
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Build all the pieces of a TOP DS Profile
Step 1 - Full CV Upgrade
How to avoid mistakes that kill your CV
How recruiters and hiring managers skim CVs and how to make them stop skimming and start reading
How to write your CV, so that every word builds trust and authority
How to show your achievements that make you truly stand out
Step 2 - Full LinkedIn Upgrade
How LinkedIn optimization boosts your employment chances
How to make your LinkedIn profile appear in TOP Recruiter Search Results
Detailed breakdown on how to write and optimize your LinkedIn profile to make it work 24/7
Step 3 - Personal Website Building
How to build a killer personal project presentation (and why GitHub repo does not work for it)
How to create your personal website so that it demonstrates your skills and boosts your chances of getting the best ML roles
How to use your upgraded CV, LinkedIn and Website to land more interviews and roles
Step 4 - Personal Brand Building
10 secrets for building of a successful LinkedIn personal brand as a Data Scienitst
A secret tactic to make people visit your profile and add you to their network that 95% of people never use
How to create posts as a Data Scientist that the LinkedIn algorithm loves and pushes to the right audience
How to effortlessly generate hundreds of post ideas to grow your ML personal brand
TOP 11 mistakes people make when posting on LinkedIn and how to avoid them
Step 5 - Effective Job Search
How to efficiently grow your LinkedIn network, find relevant people and make them add you to their contact list
How to use your upgraded CV, LinkedIn and Website to land more interviews and roles
Proven strategies and methods to get interviews via LinkedIn DMs and InMail messages to recruiters, hiring managers and referrals
Over 100 Data Scientists upgraded profiles with me and found new opportunities
Sabiq Mohamad
Data Scientist
“Timur provided me with a clear roadmap for landing a great job”
Timur's guidance has helped me rethink my future career, and I truly appreciate the knowledge and advice he shared with me.
Violetta Mishechkina
Machine Learning Engineer
“The new CV helped me land my current job! Couldn't recommend Timur more!”
Timur was awesome to work with on improving my CV! He used real facts from my experience and framed them in a way that made me feel proud of what I've done.
Eugenii Solovev
Software Engineer
“The results were almost immediate: I got my first response within a day of sending out my updated CV”
By the end of the following week, I had my first interview. I can wholeheartedly recommend Timur to help you create the best view of your experience.
Victor Portnov
Head of Data Science
“The result was an outstanding CV that truly captures my professional achievements”
I was really impressed, and even surprised, at how well my new profile showcased my capabilities. This helped me a lot to focus and make informed decisions about the next steps in my career.
Neelesh Sethi
AI Architect
“Timur's resume review service exceeded my expectations!”
Timur's insights were spot-on, not only for the resume but also for my LinkedIn profile, where he provided targeted feedback to enhance my professional presence.
Himanshu Sharma
Data Scientist/Analyst
“Timur's approach and suggestions made a significant difference in my CV”
Timur's thoughtful approach and valuable suggestions made a significant difference, and I truly appreciate his dedication to helping me present my skills effectively.
Here's what each LIVE session includes
Access to 18 LIVE Sessions and Lifetime Access to Recordings.
Each live session lasts for about 2h.
You'll understand everything during the sessions, because you'll follow step-by-step LIVE coding guidance.
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Real-World ML
(2 weeks, 6 Live Sessions, ~10h)
Week 1
Session 1
Main reasons for ML projects failures and how to avoid them
How to connect ML and business metrics
How to estimate $$$ value from ML projects deployment
Business Problem Formulation for the Acceleration Project
Python Environment Setup with uv and Kedro
Session 2
Data overview and profiling
Exploratory Data Analysis, relationship and data structure discovery
Statistical methods for data cleaning
Outlier removal methods for real-world data
Session 3
Modeling Approach Formulation for the Accelerator business problem
Introduction to Fourier Transform
Data noise filtering with Fourier Transform and other signal processing and statistical methods
Breakdown of multivariate anomaly detection methods
Week 2
Session 4
Framework development for baseline model building
Baseline ML model building - how to do it and which rules to follow
Baseline ML model selection & cross validation
In-depth evaluation of various baseline models
Session 5
Advanced data cleaning, outlier removal and denoising
Data leakage trap detection and how to avoid it
Advanced feature engineering for time series
Robust ML Model Building that works in production
Session 6
MLflow server setup with an SQL database
Neural Network model building with PyTorch
Practical value-driven model selection
Optuna Hyperparameter Tuning of various models
Linking MLflow, Optuna and Experiment Tracking
Final selection of data preprocessing, feature engineering and model type for production deployment
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End-to-End MLOps
(5 weeks, 15 Live Sessions, ~25h)
Week 3
Session 7
End-to-end ML system design of the solution
Introduction to Kedro ML pipelines and framework concepts
Development of a complex Feature Engineering pipeline in Kedro
Introduction to the Pipeline Registry in Kedro
Session 8
Developing a configurable Training Pipeline in Kedro
Implementing fully configurable Hyperparameter Tuning in ML pipelines
Connecting Feature Engineering and Training Pipelines for end-to-end ML model training
Debugging errors in Kedro pipelines with a debugger
Session 9
Developing a configurable Inference Pipeline in Kedro
Integrating MLflow Experiment Tracking into Training and Inference Pipelines
Developing end-to-end integration between MLflow Model Registry and ML pipelines
Connecting all the pipelines together end-to-end to train ML models and perform inference
Week 4
Session 10
Introduction to databases in ML systems
Introduction to the connection between databases and ML applications. Batch and Real-Time Inference.
Breakdown of the data reading and injestion system for the SQL database used in the Accelerator ML System.
Developing a complex Data Management module for training, re-training, and inference pipelines which interacts with an SQL database
Session 11
Connecting ML Pipelines, Data Management Module and Databases into a complete end-to-end system
Breakdown of ML application entrypoints
Developing application entrypoints for the Training and Inference Pipelines
Adapting entrypoints to work under static and dynamic data conditions
Session 12
Introduction to Dash framework for UI applications
Developing a scalable multi-page Dash application
Connecting Dash to Databases and ML Pipelines
Integrating MLflow functionality access into the UI app
Embedding Kedro Pipeline visualization in the UI app
Week 5
Session 13
Introduction to data drift and ML model monitoring
Breakdown of univariate and multivariate data and concept drift
Building a Data Drift Monitoring Pipeline in Kedro
Building end-to-end monitoring and model re-training framework for the Accelerator ML System
Session 14
Building a real-time streaming app and inference data flow to simulate the real-time ML system behavior
Introduction to Python Code Testing
How to write unit tests with Pytest to build reliable ML Systems
How to effectively use Pytest fixtures and conftest to configure complex code testing scenarious
Session 15
Introduction to Python Code Quality and its importance
Learning how to do Linting and Auto-formatting with Ruff to improve Python Code Quality
Learning how to improve Python Code Quality with type checking with Ty
Pre-commit hooks and framework - why you need it, how it works and how to set it up for the accelerator ML system
Week 6
Session 16
Introduction to Continuous Integration (CI): why you need it and how it works
Introduction to the GitHub Actions CI Framework
Building a full CI Pipeline with GitHub Actions for the accelerator ML solution step-by-step
Testing the CI Pipeline with GitHub Actions
Session 17
Breakdown of Docker, Dockerfiles, Docker-Compose, Docker Volumes and Docker Registry
Dockerizing all Kedro ML Pipelines
Dockerizing Dash UI, MLflow, Data Streaming, and Pipeline Visualization Applications
Building the application code Docker Image and pushing it to Docker Registry
Session 18
Introduction to DigitalOcean Cloud
Basic Deployment of the Dockerized Apps
Introduction to Continuous Deployment (CD)
Building a fully automated Cloud Deployment with a CD Pipeline using GitHub Actions
Deploying the entire ML System end-to-end with CI/CD Pipeline, Docker Registry and DigitalOcean Cloud
Week 7
Session 19
Introduction to ML Pipeline Orchestration: what it is and how it works
Introduction to the Prefect Orchestration Framework: tasks, flows, and deployments (static vs dynamic)
Creating Prefect Orchestration for Training, Inference & Monitoring ML Pipelines
Orchestrating ML model re-training based on the monitoring pipeline outputs caused by data drift
Session 20
Dockerizing the orchestration layer
Deploying the final version of the ML solution end-to-end with CD/CD pipeline, Docker Registry and the cloud
Discussing limitations of the accelerator ML system and possible extensions to real-world ML systems
Wrapping up the full development lifecycle that you learned
Session 21
Summarizing the topics and skills that you learned
Building a complete picture of the End-to-End ML System setup developed during the Acceleration Program
Discussing next steps and topics to learn to continue upgrading the skills after the Acceleration Program
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(1 weeks, 3 Live Sessions, ~5h)
Complete Profile Upgrade
Week 8
Session 22
How modern candidate search works
How to improve your chances of getting hired
How recruiters and hiring managers skim CVs and how to make them stop skimming and start reading
Detailed breakdown of how to write a CV that actually works and showcases your achievements in the best possible way
How LinkedIn profile optimization boosts your chances of getting hired
Detailed breakdown of how to write and optimize your LinkedIn profile to make it work 24/7
Next steps to fully upgrade your CV and LinkedIn profile
Session 23
How to build a killer personal project presentation (and why a GitHub repo does not work for it)
Why you should create a personal website and how to build a professional one with a drag-and-drop tool
How to use your upgraded CV, LinkedIn, and website to land more interviews and roles
How to efficiently grow your LinkedIn network, find relevant people and make them add you to their contact list
Strategies and methods to get interviews via LinkedIn DMs and InMail messages to recruiters, hiring managers and referrals
Session 24
Why you should grow your LinkedIn presence and personal brand
10 secrets for building of a successful LinkedIn personal brand as a Data Scienitst
Main LinkedIn post types for technical professionals that build authority and visibility
A secret tactic to make people visit your profile and add you to their network that 95% of people never use
How to create posts as a Data Scientist that the LinkedIn algorithm loves and pushes to the right audience
How to effortlessly generate hundreds of post ideas to grow your ML personal brand
TOP 11 mistakes people make when posting on LinkedIn and how to avoid them
Next steps to grow your LinkedIn presence and personal brand as a Data Scientist
Join 500+Data Scientists who confidently build Production ML Systems after my programs
Join the Leading End-to-End ML and Career Program
$1249 value
(1 week, 3 sessions, 6h)
Unique program that makes ML drive real $$$ value
$2499 value
(4 weeks, 12 sessions, 25h)
Complete program that builds real-world ML systems step-by-step
$1249 value
(1 week, 3 sessions, 5h)
First-of-its-kind program that transforms your ML career profile
$4997 Total Program Value
What you will achieve in just 6 weeks
Become a TOP Data Scientist with standout ML and MLOps skills
Confidently build End-to-End Production ML Systems
Feel secure about your career future
Start getting more interviews using a proven system
Feel confident in your job search with an irresistible profile
Easily find $$$ value from data with advanced ML methods
Have a visible personal brand that brings opportunities 24/7
Now I know how I can build Production ML Systems.
I can now confidently say that I can deploy and monitor Production Machine Learning Pipelines on my own — not just building the model, but keeping it running reliably.
Here's what you get when you join
LIFETIME ACCESS to recordings of 18 LIVE sessions (~35 hours) with step-by-step guidance from Timur, which ensures you will fully understand how to:
Make Real-World ML models
Build End-to-End ML Systems
Create a TOP-level DS Profile
LIFETIME ACCESS to the project code and 400+ slides with comprehensive explanations of each topic, which means you'll:
Never get lost during the program
Be able to run the code at your own time to understand every line of it
Learn all the concepts in-depth from the unmatched quality materials
LIFETIME ACCESS to all recordings and materials, which means you can come back and learn any part of the course even if you miss the session or want to study after the course is finished.
Full Access to the Private Community which means you'll instantly grow your network with like-minded people and continue growing together even when the course is finished.
My 100% Unconditional No-Hassle Money-Back Guarantee
I am confident that you'll love this program and it will completely transform your skills and career... but I want to make it 100% no-risk investment for you.
That's why I offer a 30-day 100% Unconditional No-Hassle Money-Back Guarantee.
And I don't stop here.
I promise you will get rid of any anxiety and confusion about building End-to-End ML systems and finally feel confident about your future with a perfect profile.
There is a reason why my ML systems produced $100mln+ in revenue and why I built a TOP 3 ML LinkedIn brand.
I just know this stuff and I know how to explain it in plain English.
That's how confident I am in the quality of this program.
But, if at any time, you feel this program is not for you, you just drop me a message to timur@maistermind.ai, my LinkedIn or on the course platform, and I will instantly give you a complete refund.
No questions asked.
No questions asked.
There'll be no forms to fill out, nothing to prove or explain. Just one message and it's done.
I want you to feel SO FREAKING GOOD about making this investment in your future. So, if you try it out and it's not for you, then you have absolutely nothing to lose.
Join now and feel confident in your decision with my 30-day no-risk guarantee.
Your ML Career Transformation Starts Here
You have a choice to make:
Path 1: Stay Where You Are
Keep learning random tools and tutorials
Feel overwhelmed by "too much to learn
Watch other Data Scientists advance while you feel behind
Stay stuck in notebooks while others build End-to-End Systems
Keep seeing "MLOps required" in job postings and feel unqualified
Path 2: Transform Into a TOP Data Scientist
Follow a proven system built on $100M+ ML business impact
Build production-grade ML systems with confidence
Know exactly what to learn and in what order
Have the skills that 50% of DS jobs require
Upgrade your career profile to stand out
In 6 weeks, you could:
✅
Feel secure about your career future
✅
Confidently build production-grade ML Systems
✅
Become a TOP Data Scientist with unmatched skills
✅
Use a proven system for getting more roles YOU want
✅
Feel confident in your job search with an irresistible profile
✅
Have a visible personal brand that brings opportunities 24/7
Now it's your time to use your full potential and arrive where you deserve to be
The End-to-End ML, MLOps and Career Acceleration Program is NOT just yet another course.
It's a practical way to truly transform your career.
I know this because I've gone through this journey myself.
I've helped hundreds of Data Scientists upgrade their MLOps skills and profiles.
And I can help you do the same.
With lifetime program access and my 100% unconditional, no-hassle money-back guarantee, you're fully protected and safe to join the program.
And you'll never be alone. I'll be holding your hand every step of the way and walking you through the program.
Together, we'll do the practical work that's needed to reach your dream career.
Start Your Transformation Today
Join the Leading End-to-End ML and Career Program
$1249 value
(1 week, 3 sessions, 6h)
Unique program that makes ML drive real $$$ value
$2499 value
(4 weeks, 12 sessions, 25h)
Complete program that builds real-world ML systems step-by-step