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Fourthbrain Program

MLOps

Helping you become the Machine Learning Operations leader of your next production AI project

Key Course Benefits

Future Proofing

Future-Proof your ML career with expert skills

ML Ops LIfecycle

Understand the big picture of ML Infrastructure

Monitor & Improve

build ML applications in production

Build Your Portfolio

Build your lInkedIn and Github presence

Actively engage with AI products in production environments

Complement your current skills and experience to align with production Machine Learning.

Become an MLOps Leader

Go from feeling like you’re behind the times on Machine Learning to a confident MLOps thought leader who operates at the tip of the spear of production Machine Learning.

Supportive Professional Community

You’ll work directly with like-minded peers, expert instructors and career coaches, and a supportive FourthBrain community to ensure that you can take each step along your journey with confidence.

What you'll learn

We care about helping you complement your skills and experience so that you can maintain and improve Machine Learning applications in production environments. Our project-based curriculum has helped guide experienced engineers and data scientists to more responsibility over production Machine Learning projects, new roles in their current company, brand new careers, and has even helped startup founders go from zero to one. Using your existing knowledge of how to train ML models, you will learn how to deploy, monitor, improve, and scale AI applications.

Program Structure

Your 10-week program is designed to maximize practical and industry-relevant experience through hands-on, project-based learning. We introduce each week’s topic by first addressing the “why” of the new tools we’ll be using, from first principles. Once the underlying concepts are understood, then picking up a new tool becomes a matter of implementation and syntax.

Live sessions emphasize these principles, and include both high-level discussions and small group programming assignments. You will complete programming assignments each week during class. Select weeks will contain optional programming assignments for advanced learners who wish to dive deeper into specific topics.

You’ll also complete a group capstone project, which you will work on throughout the program. Most weeks you’ll have a capstone assignment to drive you towards completing an end-to-end MLOps project. Capstone assignments are designed to drive you to think strategically about approaching business problems with machine learning. By working with your Capstone team, you’ll not only strengthen your knowledge and showcase your technical skills, but you’ll also get some exposure to what it’s like working on a high-performing AI product team.

You're a good fit for this course if:

  • You have trained machine learning models on structured data
  • You have successfully debugged code outside of Jupyter notebooks
  • You want to deploy, monitor, improve, and scale data-centric AI applications
  • You want to build end-to-end MLOps pipelines in the cloud

Don't just take our word for it

Our graduates work at companies like Intel, Rent the Runway, Amazon, JP Morgan Chase, and Microsoft.

    Tuition

    Tuition and Payment Plans: The program tuition is $6,000. A $500 deposit secures your seat and is applied to the tuition. We offer three payment options, which you will select as part of the enrollment process.

    Upfront Payment

    Pay in full at the start of class and tuition is discounted to $5,750.

    Monthly Payments

    Split the payment into three monthly installments of $1,833.

    Contingent Payment

    Pay $0 until you graduate and are making a minimum of $55,000 / year*

    Start Your Application

    Let us know below if you would like to be notified when we announce our next MLOps cohort!