Python for AI
Python, NumPy, pandas and data preparation.
Training · AI & Machine Learning
Learn Python, machine learning and generative AI through practical exercises and a real-world project.
Each area combines instruction with practice so you can apply what you learn right away.
Python, NumPy, pandas and data preparation.
Regression, classification, clustering and model evaluation.
Prompting, LLM APIs and retrieval-augmented generation.
Packaging and serving models as applications.
Program details
Curriculum
A typical cohort covers the modules below in order. Instructors adjust pace and depth to the group.
Syntax, functions, NumPy and pandas.
Cleaning, feature engineering and visualization.
Regression, classification and model evaluation.
Clustering, dimensionality reduction and anomaly detection.
Neural networks with PyTorch or TensorFlow.
LLM APIs, prompting, embeddings and vector search.
Tools and technologies
Program structure
Instructor-led sessions build a solid understanding of the fundamentals.
Build and tune models on real datasets.
Create an AI assistant or prediction app from start to finish.
Resume review, mock interviews and introductions through our staffing network.
Career outcomes
Prerequisites
Basic programming experience (any language) and comfort with high-school math.
Who should enroll
Add an in-demand skill to grow in your current role or prepare for the next one.
Train your staff together on the platforms your projects already rely on.
Start with the basics and build confidence through guided, practical exercises.
Tell us what you're working on. We'll respond within one business day with next steps.