Machine Learning Bootcamp: Python, Projects & Deployment

This is a complete, hands-on Machine Learning bootcamp designed to take you from Python basics to building and deploying real-world, production-ready ML applications.You will learn Machine Learning the right way - starting with Python and essential math foundations, working with real datasets, building models, evaluating them correctly, and finally deploying ML systems on AWS.Unlike theory-heavy courses, this bootcamp focuses on practical understanding, clean code, real projects, and real deployment workflows used in industry.What you will gain from this course:Strong Python programming skills for Machine LearningClear intuition for math behind ML including linear algebra, statistics, calculus, and probabilityHands-on experience with data collection, EDA, and preprocessingBuild and evaluate classification, regression, and unsupervised modelsProper model validation, cross-validation, and optimization techniquesMultiple real-world Machine Learning projectsConvert notebooks into clean, production-style Python scriptsBuild ML APIs using FastAPI and UIs using StreamlitDeploy complete ML applications on AWS EC2Work on production-grade capstone projects you can showcase in your portfolioWho this course is for:Beginners starting Machine Learning from scratchStudents preparing for ML or data science rolesProfessionals transitioning into Machine LearningDevelopers who want to build and deploy real ML applicationsNo prior Machine Learning, Python or math background is required. Everything is explained step by step with intuition and hands-on