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Amazon Polly

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May 11, 2024 4 minute read

Amazon Polly is a cloud-based service that converts text to speech, enabling you to create applications that can speak to users in a natural-sounding voice. Amazon Polly is a popular choice for businesses of all sizes, as it is easy to use and integrates with a variety of platforms. In this article, we will discuss what Amazon Polly is, why you might want to learn about it, and how online courses can help you develop your knowledge and skills in this area.

What is Amazon Polly?

Path to Amazon Polly

Take the first step.

We've curated two courses to help you on your path to Amazon Polly. Use these to develop your skills, build background knowledge, and put what you learn to practice.

Sorted from most relevant to least relevant:

Mastering AI on AWS: Training AWS Certified AI-Practitioner

Mastering AI on AWS: Training AWS Certified AI...

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AWS Certified AI Practitioner AIF-C01 Updated 2025

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Reading list

We've selected five books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Amazon Polly.

Speech and Language Processing. An Introduction to...

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This renowned textbook provides a comprehensive overview of speech and language processing, including a chapter on speech synthesis. It covers the fundamental concepts, algorithms, and applications of modern speech synthesis systems.

Speech and Language Processing An Introduction to...

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Natural Language Processing with Python

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This comprehensive textbook covers NLP techniques, including text-to-speech synthesis. It provides a solid foundation for understanding the underlying principles of Amazon Polly and other speech synthesis technologies.

Natural Language Processing with Python: Analyzing...

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(中文) Python Natural Language Processing(Chinese Edition)

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Natural Language Processing with Python: Analyzing...

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Relevant careers

Speech Scientist

Software Developer

AI Engineer

Machine Learning Engineer

Project Manager

Data Scientist

Training and Development Manager

Customer Service Representative

Technical Writer

UX Designer

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