IT Professional Curricula     Internet and Network Technologies Solution Area     Cloud Computing     AWS Certified Machine Learning

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Amazon offers a variety of high-level no-code services for specialized machine learning (ML) tasks. These services are primarily used to implement complex pre-built algorithms for using ML with textual and visual information. Use this course to learn more about these services.
Use this course to explore services, such as Amazon Kendra, Transcribe, Polly, Rekognition, Personalize, and Textract in greater detail. You'll also delve into other AWS AI/ML services through case studies.
After you're done with this course, you'll be able to describe the use cases of these services and have a general overview of how to combine multiple AWS AI/ML services to work within a single application. Moreover, you'll 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/ML Services discover the key concepts covered in this course extract insights and patterns from unstructured text using natural language processing increase information accessibility of apps by introducing an AI-powered search engine increase the usability of apps by adding speech-to-text features describe how to enhance applications by giving them a voice analyze images and videos in applications to distinguish assets and extract meaningful information increase customer retention by adding personalized recommendations powered by Amazon's past data work with Amazon Forecast to accurately forecast time series without any machine learning (ML) experience work with Amazon Textract to parse millions of documents in no time and integrate them with Augmented AI describe other AI/ML services in AWS such as fraud detection, Amazon Lex, and Amazon translate outline how to integrate multiple AI/ML services to create an automated system summarize the key concepts covered in this course