● CAREER ROADMAP

AI/ML Engineering

Build models and AI features that ship real value.

AI/ML Engineers build, deploy and monitor models and AI-powered features. The field is booming, but the winning skill is shipping useful, responsible ML, not just training models. A strong portfolio matters more than a PhD.

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The complete AI/ML Engineering field roadmap - everything worth learning, from fundamentals to advanced. Highlighted core topics are the ones we take you through in the UstackSchool programme.

Core - taught in the programmeRecommendedOptional / advanced

Programming & Maths

Python NumPy & Pandas Linear algebra Statistics Probability Calculus basics

Data Prep & EDA

Data cleaning Feature engineering Visualisation (matplotlib / seaborn)Data pipelines

Classic Machine Learning

scikit-learn Regression Classification Model evaluation Clustering Ensembles (XGBoost)Cross-validation Feature selection

Deep Learning

Neural networks PyTorch Backpropagation CNNs TensorFlow / Keras RNNs / LSTM Optimization

Computer Vision

Image classification Object detection Segmentation OpenCV

NLP & LLMs