Machine Learning Training You Can Use!

A structured path to modern machine learning skills, practical workflows, and a credential to match.

The Machine Learning Certification is a four-seminar program for researchers and professionals who want rigorous, high-quality training in machine learning. Complete the series to build confidence in how to approach data problems, evaluate results responsibly, and gain an applied competency in machine learning.

Why Get Certified?

The Machine Learning Certification offers more than a standalone course experience—it provides a coherent sequence that builds from foundational concepts to advanced, applied methods. In many fields, machine learning is now central to prediction, explanation, and discovery, but results hinge on choosing appropriate models, evaluating them correctly, and understanding their limits. This certification distinguishes you as someone who can implement these methods with expertise and care.

👉 Contact Us to Get Started

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Build Your Certification
Seminars can be taken at your own pace, in any order.

Complete 2 core seminars:

➤ Machine Learning

Explore core machine learning concepts and workflows for working with large, complex data, with an emphasis on building, evaluating, and interpreting predictive models in practice.

➤ Advanced Machine Learning and Applied AI Workflows

Extend your machine learning toolkit beyond standard workflows by tackling real-world analytical challenges and applying advanced strategies, including AI techniques, designed for complex, applied settings.

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And choose 2 electives from a range of specialized topics:

➤ Machine Learning for Estimating Causal Effects

Apply machine learning to causal questions in observational data by learning how to reduce bias and estimate robust treatment effects using modern double-robust approaches.

OR

➤ Interpretable Machine Learning

Interpret complex machine learning models with modern global and local explanation tools that help you understand what drives predictions and communicate results clearly.

OR

➤ Causal Inference in Econometrics

Evaluate cause-and-effect questions in observational data by practicing econometric research designs like fixed effects, difference-in-differences, instrumental variables, and regression discontinuity.

OR

➤ Introduction to Python for Data Analysis

Develop beginner-friendly Python skills that translate directly to real analysis work, from core coding fundamentals to working with datasets, creating visualizations, and using common data-science tools.

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How It Works & Program Details

✔ Take 4 Seminars

2 core + 2 electives. Attend live or watch recordings (available for 4 weeks).

✔ Flexible Schedule

You don’t need to fit your life around the program—start anytime and finish at your own pace. Each seminar runs 1–2 times per year, so you can complete the certification when it works best for you.

✔ Affordable Pricing

• • $500 OFF when you register for all 4 seminars together.

  • Or register individually and save $100 per full-length (14-hour) seminar and $50 per short (8-hour) seminar.

  • Pay now to lock in your discount—you can join the upcoming dates or defer your credits to a future offering.

Ready to get started? Contact Us now!