Learn how to design, build, deploy, and scale machine learning systems to solve real-world problems.

I'll lose my mind if I see another book or course teaching people the same basic ideas for the hundredth time. Most people are stuck in beginner mode, and finding help to solve real-world problems is hard.

I want to change that.

I started writing software 30 years ago. I've written pipelines and trained models for some of the largest companies in the world. I want to show you how to do the same.

This is the class I wish I had taken when I started.

This program will help you unlearn what you think machine learning is. It's a practical, hands-on class where you'll learn from years of experience and real-world examples.

When you join, you get lifetime access to the following:

• 18 hours of live, interactive sessions. We'll use this time to discuss the first principles behind building machine learning systems.
• 10 hours of step-by-step coding instructions. These practical sessions will show you how to build an end-to-end system from scratch.
• A final project where you'll build a complete solution and receive direct feedback on your work.
• 100 coding assignments and practice questions.
• The entire source code of a working production system. It's yours. You can change and use it as you see fit.
• A private community where you'll collaborate with thousands of people from different backgrounds.
• Direct access to your instructor.
• Lifetime access to every past and future cohort.
• Program certificate upon completion.

And the best part is that you only pay once to join. There are no monthly fees. No annual fees. No hidden costs. You pay once to join and benefit forever until the end of time.

The program won't be easy. It'll take time and effort. But if you want to use machine learning to solve real-world problems, this is the class you don't want to miss.

Who Is This Program For?

This is a practical, hands-on program for technical professionals who are ready to put in the work.

This program is for software engineers, data scientists, data analysts, machine learning engineers, technical managers, and anyone anyone who wants to use machine learning to solve real-world problems.

Here are the criteria to succeed in the program:

• You have experience writing code. We'll use Python throughout the class, but you won't have any problems if you know any other language.
• You are familiar with basic machine learning terminology. This is not an introductory class. We'll move quickly over the basics to focus on the fundamental ideas that make systems work.
• You are ready to put in the work to succeed.

What Will You Learn?

You'll come out with practical skills and insights into what it takes to build systems that work in the real world.

Here is a summary of what makes this program unique:

• You'll design and write the code to build an end-to-end machine learning system starting from scratch.
• You'll learn best practices to tackle the most significant challenges machine learning engineers face to build, evaluate, run, monitor, and maintain machine learning systems in real-world scenarios.
• You'll learn how to use techniques like active learning, distributed training, adversarial validation, human-in-the-loop deployments, model compression, test-time augmentation, testing in production, among many others.
• You'll learn how to create training, deploying, monitoring, and inference pipelines using Amazon SageMaker and open-source tools.

Forget about theoretical concepts. This program will show you some of the things I've learned from real-life examples I've built during more than 30 years in the industry.

Check the program syllabus →

Upcoming Schedule

Every iteration of the program gives you 18 hours of hands-on, live training spread over 3 weeks.

Here are the upcoming cohorts:

• Cohort 13: May 6 - May 23, 2024. 2:00 PM EDT
• Cohort 14: July 1 - July 18, 2024. 4:00 AM EDT

Live sessions will take place every Monday and Thursday at the same time. On Wednesdays, we'll host office hours when you can bring your questions projects or anything else you want to discuss.

• Monday: Live session. 2 hours.
• Tuesday: Individual work.
• Wednesday: Optional office hours.
• Thursday: Live session. 2 hours.
• Friday: Individual work.

Do not wait for a specific cohort to join the program. You have lifetime access to every past and future cohort, and the sooner you join, the more time you have to prepare.

Every session is recorded. You can attend live or watch the recorded version later.

Ready To Join The Program?

You'll get lifetime access. No monthly fees. No annual fees. No hidden costs.

Program Syllabus

This program will teach you the practical skills and insights that will help you build machine learning systems.

Here are the contents of the six live sessions of the program:

Frequently Asked Questions

If you can't find the answer to your question, please reach out on social media and I'll be happy to help.

How long will it take to complete the program?

If you are attending the live sessions, you should set aside a minimum of 4 hours every week during the three weeks of the program. This commitment will be enough for engineer leaders or anyone not interested in the coding portion of the program.

Those interested in implementing the concepts discussed in class should set aside 2 to 4 hours weekly to complete the code walkthroughs and work on the assignments.

Are live sessions recorded?

Yes, we record every live session. You can decide when to attend classes live or catch up asynchronously later using the recording.

I'm a complete beginner. Is this program helpful for me?

This program is not an introduction to machine learning.

While we'll discuss many fundamental ideas behind machine learning, beginners will find the sessions go much faster than what's optimal for them.

What does "lifetime access" mean?

You only pay once to join the program and get immediate access to every past, present, and future cohort.

Every new iteration of the program is better than the ones before. Many students take classes once and then join a later cohort to benefit from the updates.

The lifetime access removes any pressure from having to complete the program when life gets in the way.