Machine Learning Curriculum (ACA)

Designed and delivered the Machine Learning curriculum at the Armenian Code Academy (ACA) across two summer cohorts. Target audience: industry-bound practitioners with a software background. Topics:

• Foundations of classical ML (linear models, trees, ensembles)
• Feature engineering, model evaluation, and experiment design
• Deep learning essentials (CNNs, RNNs, Transformers)
• Capstone project track where students shipped end-to-end models

The program emphasizes reproducible, production-ready ML practice.