AI and Machine Learning Foundations - Python, Data Science, and MLOps

Master artificial intelligence and machine learning fundamentals through a comprehensive 10-hour course that progresses from basic concepts to advanced implementations. Begin with essential machine learning principles including supervised and unsupervised learning, regression, and classification before diving into technical concepts like bias-variance trade-offs and overfitting regularization. Gain practical experience through hands-on projects including a Superstore data analytics project and a movie recommendation system. Explore the top 10 machine learning algorithms while developing proficiency in linear regression through detailed case studies. Beyond technical skills, discover career development strategies for entering data science without prior experience, learn startup fundamentals, and prepare for machine learning interviews with industry insights. Perfect for aspiring data scientists and AI practitioners seeking both theoretical knowledge and practical implementation skills.