Applied Machine Learning: No-Code Workflows for Beginners

You do not need to be a software engineer or a math wizard to harness the power of artificial intelligence. This text-based course guides you through the entire machine learning lifecycle using modern visual platforms and intuitive no-code tools. By reading and working through the conceptual exercises, you will transform from a curious beginner into a confident practitioner capable of preparing data, training models, and interpreting predictions. You will gain a solid foundation in how machine learning works under the hood so you can make informed decisions when solving real-world business problems. What you'll learn: Understand core machine learning concepts, terminology, and the differences between supervised and unsupervised learning; Prepare and clean datasets for modeling using visual data-preparation workflows; Train and evaluate predictive models for classification and regression tasks without writing code; Interpret model performance metrics such as accuracy, precision, and recall to choose the best solution; Explore modern no-code AI concepts, including basic prompt engineering and integrating pre-built generative models; Deploy and monitor models in a production environment using modern cloud-based no-code platforms. The course starts with essential definitions and foundational concepts before guiding you through data preparation, model training, and evaluation. You will progress from raw data to a fully deployed model through clear, step-by-step written explanations. This course is designed for business analysts, product managers, and beginners who want to leverage machine learning without learning programming languages. No prior coding or advanced mathematics experience is required. Start your journey into the world of no-code artificial intelligence today.