Practical AI Foundations with Python and AWS

Artificial intelligence is transforming how we build software, but getting started requires a clear path from local programming to cloud deployment. This structured, text-based course bridges the gap, helping you transition from basic coding to launching intelligent applications in the cloud. You will gain a strong conceptual understanding of machine learning and learn how to translate those concepts into working cloud solutions. What you'll learn: - Understand fundamental AI and machine learning concepts, including supervised and unsupervised learning models. - Write clean, maintainable Python code using modern type hints and structured virtual environments for data workflows. - Build and evaluate predictive models using standard Python data science libraries. - Configure and deploy machine learning models on AWS using cloud computing and storage services. - Implement basic MLOps practices, including model monitoring and basic cloud-based observability. This course begins with essential AI terminology, foundational mathematics, and setup instructions. You will then progress through step-by-step text explanations and code walkthroughs that demonstrate how to train, test, and host your models. Designed specifically for beginners, this course requires no prior background in machine learning or cloud platforms. Start your journey into cloud-powered artificial intelligence today.