1. Intro to Machine Learning
Kaggle Learn
Decision trees and random forests
AIITE Certificate Program · Track 4 of 4
← All 4 tracks
Applied Machine Learning & Experimentation
Practical machine learning and experimentation — model building, feature engineering, time series, and working with data at scale. Complete every course below and submit a screenshot of each completion.
Course links open each provider’s own site in a new tab. AIITE does not control their content, pricing, or availability. Some providers charge for graded assignments, completion records, or certificates even when the course itself is free to audit.
5Courses in this track
IntermediateSkill level
Certificate earnedAIITE Certificate of Completion in Applied Machine Learning & Experimentation
Learning PathAIITE Certified Data Practitioner
AIITE Certified Data Practitioner is given only when all tracks in the Learning Path are completed and verified.
Providers in this track
Kaggle LearnUniversity of Pennsylvania (Coursera)
There are 5 courses in this track
2. Intermediate Machine Learning
Kaggle Learn
Data preparation, pipelines, and XGBoost
3. Feature Engineering
Kaggle Learn
Feature encoding, generation, and selection
4. Time Series
Kaggle Learn
Trend, seasonality, and forecasting
5. Intro to Data Analytics, SQL, and EDA Using Python
University of Pennsylvania (Coursera)
Brandon Krakowsky, University of Pennsylvania
AIITE independently curates these learning resources and is not affiliated with, sponsored by, or endorsed by the listed providers unless expressly stated. Provider certificates and AIITE credentials are separate awards. AIITE issues certificates in this program after verifying the completion evidence you submit; this is not an independent AIITE examination of competency.