52-Week Certified Applied AI and Data Science Program is a comprehensive, year-long learning journey designed to take students from complete beginner to confident applied AI practitioner. Through daily lessons, hands-on labs, weekly reviews, practical projects, and a portfolio-ready capstone, you will develop the technical and business skills required to build modern data and artificial intelligence solutions.
The program begins with Python programming, development environments, Jupyter notebooks, Git, reproducibility, and collaborative workflows. You will then learn NumPy, pandas, data cleaning, feature creation, visualization, descriptive statistics, probability, statistical inference, hypothesis testing, and A/B testing. You will develop practical data engineering and analytics skills by collecting information from datasets and APIs, writing SQL queries, understanding relational databases, designing data warehouses, and creating ingestion, transformation, validation, storage, and monitoring pipelines.
The machine learning portion introduces supervised learning, regression, classification, cross-validation, feature engineering, model selection, and performance evaluation. You will work with logistic regression, decision trees, random forests, gradient boosting, k-nearest neighbors, and Naive Bayes. You will also explore unsupervised learning, clustering, dimensionality reduction, recommender systems, anomaly detection, and model interpretation.
