The Real-World ML Tutorial & Community

Hi there, it's Pau 👋

I am an ML engineer with years of experience building real-world ML products.
Want to design, develop, and deploy one yourself?
This is how you build end-to-end ML products & help top startups and enterprises solve their business problems.

What's inside?

01 From business to ML

Understand the business problem 💼

  • Learn how to translate a business problem into a Machine Learning problem.

  • Understand the 4 steps to go from raw data to a fully working ML solution, and not just a prototype.

02 Data preparation

Transform raw data into ML data

  • Learn the steps to go from raw data to (features and target) data for supervised ML.

  • Build a robust data pipeline with Python, to fetch, validate, transform, and generate training data.

03 Model prototyping

Experimentation and model training

  • Learn to create quick and powerful model baselines.

  • Iteratively build better ML models with feature engineering and boosting trees.

  • Optimize model hyper-parameters to squeeze all the juice from the data.

04 Model operationalization

Deployment and Monitoring using MLOps best practices

Who is it for?


You've trained an ML model before 🏋️

If you know how to prepare data and train a model in a notebook, but don't know how to turn it into a complete ML service, this tutorial is for you.


You want to go one step further 📶

If you want to learn how to design, implement and deploy a Machine Learning solution, from A to Z, this tutorial is for you.


You want to Land an ML Engineer Job 🚀

If you wanna master the 4 steps, that transform any business problem into an ML solution, this tutorial is for you.

What do you get?

  • 3 hours of video lectures & slides regularly updated [see what's coming next!]

  • All the source code on the GitHub course repository.

  • Lifetime access to my Discord community where you can ask me questions, connect with other students, and level up.

Start NOW and thank me later

Ready for a Real Change?

You will build a complete, real-world ML service that predicts taxi rides in NYC. But, the tools you will master are APPLICABLE to ANY INDUSTRY you care about.Say goodbye to toy data sets, and say hello to ML services that ingest data and generate predictions that bring REAL VALUE to companies.REAL WORLD ML program is NOT just another course you take and forget. It is the PROJECT that will CHANGE your career.

What's inside?

The program contains all the steps and tools to make YOU stand out from the competition.From defining the business problem, and preparing the data to model training and operationalization using MLOps best practices.The Real-World ML Tutorial has everything you need to create real business value using Machine Learning.


1. Business Problem 💼

Learn to translate a business problem into a Machine Learning solution.


2. Data Preparation 📊

Build clean and robust data pipelines with Python, to fetch, validate, transform and generate training data.


3. Model Training 🏋️

Iteratively build better ML models, using smart baselining, boosting methods, feature engineering and hyper-parameter tuning.


4. Deployment & MLOps 🏭

Transform your ML model prototype into a fully working real-world batch-scoring system using a Feature Store.

What do you get?

  • 3 hours of video lectures & slides regularly updated [see what's coming next!]

  • All the source code on the GitHub course repository.

  • Lifetime access to my Discord community where you can ask me questions, connect with other students, and level up.

Start NOW and thank me later

© realworldml.net by Pau Labarta Bajo.