IT Skills     Cloud Computing and Virtualization     Amazon     AWS Certified Machine Learning

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Integrating AWS AI services and SageMaker with any machine learning (ML) or deep learning project is a great way to enhance its capabilities. Through this course, learn more about the additional AWS AI Services that are ready to use in the form of direct API without the need to train any ML models and dive deeper into more SageMaker functionality.
Get familiar with AWS AI services that can be fully integrated into your applications in minutes. This course will also introduce you to some pre-trained algorithms in SageMaker for building high-performance natural language processing (NLP) and computer vision apps using fine-tuning techniques.
After completing this course, you'll be able to identify several AI services that can be used as APIs in AWS and describe SageMaker's extensive capabilities in handling text and images. You'll also be a step closer to preparing for the AWS Certified Machine Learning – Specialty certification exam.

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Objectives

AWS Certified Machine Learning: AI Services & SageMaker Applications discover the key concepts covered in this course work with Amazon Rekognition for detecting, analyzing, and comparing faces work with Amazon Polly for text-to-speech conversion work with Amazon Transcribe and Translate to explore natural language processing (NLP) capabilities work with seq2seq models in SageMaker for natural language processing (NLP) tackle forecasting problems using DeepAR work with BlazingText for optimized text classification capabilities work with object2vec general-purpose embeddings used for natural language processing (NLP) tasks work with SageMaker's built-in object detection algorithms work with SageMaker's built-in image classification algorithms work with SageMaker's built-it semantic segmentation algorithms summarize the key concepts covered in this course