You already know Python basics. Now learn to build AI that actually works — not just copy-paste prompts.

This intermediate course from AI Asset Academy gives you:

✅ Neural networks from scratch (forward/backprop)

✅ Decision trees, random forests, gradient boosting

✅ NLP fundamentals: TF-IDF, text classification

✅ Model evaluation & hyperparameter tuning

✅ Real TensorFlow/PyTorch code examples

✅ Feature engineering pipelines with sklearn

No fluff. Just code + concepts in 18 tight modules.

Perfect if you:

• Took a beginner ML course and want more

• Want to build, not just use, AI tools

• Need practical evaluation skills (precision, recall, F1, cross-val)

What you'll build:

• Neural network classifier (Keras)

• Text sentiment pipeline

• Random forest with cross-validation

• Feature engineering workflow

This is the level where AI starts making sense — and making money.

Join AI Asset Academy.