Prepare Data for AI

Build numerical arrays, clean datasets, and visualize patterns using NumPy, Pandas, and Matplotlib in small Python projects.

Train Your First Model

Prepare input features, split training data, and train a simple machine learning model to make and evaluate predictions.

Build Foundations for Further AI

Practice neural network input shapes, data batching, and vector similarity, then combine essential skills into a complete prediction pipeline.

About the course

AICC’s partnership with Linuxademy.com brings practical Python learning to students preparing for AI development. Python for AI introduces essential foundations through eight small projects. Use Python, NumPy, Pandas, Matplotlib, and scikit-learn to work with numerical arrays, clean datasets, visualize patterns, and train and evaluate a simple machine learning model. Explore neural network input shapes, batching, and vector similarity, then bring your skills together in a prediction pipeline. Everything runs locally on your CPU; no GPU is required. Follow along on Windows with WSL2 and Ubuntu, or watch to learn. Linuxademy’s mission is to help you build, understand, and operate independently, with foundations you can carry into PyTorch, Hugging Face, embeddings, and later AI courses.

Curriculum

1 Chapter · 2 Lessons

    1. (Included in full purchase)

      Build & Calculate A Dataset With NumPy Arrays

    2. (Included in full purchase)

      Load & Clean A Dataset With Pandas

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