Voice AI Engineering - Create Smart Agents with ElevenLabs

Packt via Coursera

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Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

8 weeks, 1 hour a week
Sessions

Self-Paced
Level

Intermediate
Subtitles

English

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Overview

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Unlock the potential of voice AI with ElevenLabs. From voice synthesis and Text-to-Speech systems to creating multilingual AI voices, this course equips you with the tools to build practical voice agents for industries like customer support, marketing, and content creation. Learn through hands-on projects. In this course, you will dive into the world of voice AI engineering, focusing on ElevenLabs' powerful platform. The journey begins with an introduction to voice AI technologies and the challenges involved in creating smart voice agents. You will explore how voice synthesis works, the AI behind it, and key components of TTS systems that form the foundation of these technologies. As you progress, you will learn how to use ElevenLabs to create custom AI voices and integrate them into business scenarios. The course covers use cases from industries like customer support and content creation, allowing you to apply your skills in real-world settings. With a focus on ethical AI usage, this course also ensures that you understand best practices for responsible implementation. The course concludes with hands-on projects where you will create and deploy your own AI agents, preparing you for the future of voice AI in business. By the end of the course, you’ll be well-equipped to implement these technologies effectively and ethically. This course is ideal for AI enthusiasts, product managers, developers, and business professionals who are eager to explore the capabilities of voice AI. Whether you're new to the field or looking to expand your knowledge of voice synthesis, this course provides all the tools needed to build practical, real-world applications. A basic understanding of AI concepts will help, but no prior experience with ElevenLabs is required. The course is also suitable for those who aim to integrate voice AI into marketing, customer support, or content creation. This course offers a structured, hands-on approach, starting with foundational voice AI concepts and progressing to building and deploying smart agents. You’ll gain practical skills through real-world use cases, including customer support and content creation, while emphasizing ethical AI practices throughout. This course is based on Voice AI Engineering - Create Smart Agents with ElevenLabs, by Anton Voroniuk. This course is licensed and distributed by Packt. All rights reserved. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.

Syllabus

Introduction to Voice AI Engineering with ElevenLabs
- This module provides an introduction to voice AI engineering using ElevenLabs, covering key technologies, platform navigation, and real-world applications. Learners will gain foundational knowledge of voice synthesis, AI agent development, and challenges in the field. The course also explores the future impact of voice AI across industries.
Voice AI Technology Fundamentals
- This module introduces the foundational concepts of voice AI technology, including voice synthesis, AI-driven voice generation, and the components of Text-to-Speech systems. Learners will explore how AI models create natural-sounding speech and the role of NLP and speech recognition in voice systems. The module also covers key architectures and their real-world applications.
How to Work with ElevenLabs Agents?
- This module provides an in-depth look at ElevenLabs Agents, covering their functionality, business applications, and real-world use cases. Learners will explore how to create, customize, and deploy voice AI agents to enhance customer interactions and operational efficiency.
AI-Powered Voice Synthesis
- This module provides an in-depth look at how to create and implement AI-generated voices, including customizing tone, integrating them into projects, and supporting multilingual communication. Learners will gain practical skills in voice synthesis and apply these techniques across various applications.
Case Studies & Practical Applications
- This module explores the practical applications of AI voices across various domains such as content creation, customer support, podcasting, education, and corporate training. Learners will gain insights into how AI voice technology enhances efficiency, accessibility, and engagement in different industries. The module also covers strategies for implementing AI voice tools effectively in real-world scenarios.
Voice AI in Business and Marketing
- This module explores the application of AI voice technology in business and marketing, covering how it enhances customer engagement, personalizes marketing efforts, and improves sales and brand consistency. Learners will gain insights into the practical uses of AI in creating efficient and engaging customer interactions.
AI Ethics and Career Growth with AI
- This module explores essential ethical considerations in AI development and application, covering topics such as bias, privacy, legal compliance, and responsible AI use. Learners will gain practical strategies for implementing AI technologies in a socially and legally responsible manner while also discovering how AI can enhance career growth in corporate environments.
Conclusion of the Course
- This module provides a comprehensive review of the course content, guiding learners on how to transition from knowledge acquisition to practical application. It covers strategies for advancing AI skills, building a professional portfolio, and exploring career opportunities in the AI and voice engineering fields. Learners will gain actionable insights for continuing their learning and future career development.