Welcome to Week 2. In this week, you will be introduced to Amazon SageMaker, AWS’s fully managed service for building, training, and deploying machine learning models at scale. You will begin with an overview of SageMaker and explore its core components through hands-on demonstrations. As the module progresses, you will take a deep dive into essential SageMaker capabilities such as Data Wrangler for data preparation, Feature Store for managing and reusing features, and Model Monitor for detecting data drift and maintaining model performance in production. By the end of this module, you will be able to confidently navigate the SageMaker ecosystem, prepare and manage ML data efficiently, operationalize features, monitor deployed models, and accelerate machine learning development using built-in templates and pretrained models.

Welcome to Week 3 of the Fundamentals of AWS AI and ML Solutions course. In this module, you will begin by working with language-based AI services such as Amazon Comprehend, Amazon Translate, and Amazon Transcribe, learning how to extract insights from text, translate content across languages, and convert speech into text. The module then expands into speech and vision capabilities using Amazon Polly and Amazon Rekognition, enabling you to generate lifelike speech and analyze images and videos for faces, objects, and content moderation.You will also explore conversational and search-based AI solutions with Amazon Lex and Amazon Kendra. The module also covers personalization and document intelligence through Amazon Personalize and Amazon Textract, demonstrating how AWS AI services can be used to deliver tailored user experiences and extract structured data from scanned documents.