Master the fundamentals of artificial intelligence and machine learning. Perfect for career changers and those new to AI. No prior experience required.
This comprehensive 12-week program is designed to take you from zero knowledge to confident AI practitioner. You'll learn the mathematical foundations, programming skills, and practical techniques needed to work with artificial intelligence and machine learning systems.
Through hands-on projects and real-world applications, you'll build a portfolio that demonstrates your capabilities to potential employers. Our instructors are working AI professionals who bring industry experience into every lesson.
Master Python from scratch with focus on data structures, libraries, and AI-specific frameworks like NumPy and pandas.
Understand core ML concepts including supervised and unsupervised learning, classification, and regression.
Learn to clean, prepare, and analyze datasets for machine learning applications using industry-standard tools.
Build 5+ portfolio projects including image classification, text analysis, and predictive modeling applications.
Variables, data types, control structures, functions, and object-oriented programming basics.
NumPy arrays, pandas DataFrames, data visualization with Matplotlib and Seaborn.
Introduction to scikit-learn, linear regression, decision trees, and model evaluation techniques.
Logistic regression, SVM, k-means clustering, and handling imbalanced datasets.
Basic neural network architecture, activation functions, and introduction to TensorFlow/Keras.
Build and deploy your own end-to-end machine learning application with real-world data.