Machine Learning on AWS for Beginners

Machine learning is transforming industries, but getting started can feel overwhelming without the right cloud infrastructure. AWS provides a comprehensive suite of machine learning services, making it the perfect platform to launch your journey. This text-based course guides you from absolute beginner to confidently navigating the AWS machine learning ecosystem. You will start with core cloud concepts and foundational machine learning definitions before moving on to practical workflows, learning how to prepare data, train models, and deploy them to production. What you'll learn: - Understand the fundamentals of cloud computing and the AWS global infrastructure. - Explore core AWS machine learning services, including SageMaker and pre-trained AI tools. - Prepare datasets and train machine learning models using cloud-based workflows. - Deploy trained models to generate real-time predictions. - Apply modern, no-code machine learning techniques using SageMaker Canvas. - Understand the basics of generative AI and foundation models on AWS using Bedrock. The course begins with essential terminology and foundational concepts, gradually progressing to step-by-step written walkthroughs of real-world machine learning pipelines. This course is designed specifically for beginners, with no prior experience in cloud computing or data science required. Start reading today to unlock the power of cloud-based machine learning.