Building AI Voice Agents for Production
This short course by DeepLearning.AI equips learners with the skills to design and deploy responsive, scalable, and human-like AI voice applications. Participants will explore the architecture behind advanced voice agents, including speech-to-text, text-to-speech, and large language model integration. The course emphasizes practical implementation, guiding learners through real-world examples and code snippets.
Who Should Take This Course:
Developers, data scientists, and AI enthusiasts interested in creating sophisticated voice-driven applications. A foundational understanding of AI and programming is recommended.
What You Will Learn:
• Fundamentals of AI voice agent architecture
• Integration of speech recognition and synthesis technologies
• Utilization of large language models in voice applications
• Techniques for optimizing latency and ensuring scalability
• Best practices for deploying and monitoring voice agents in production environments
Why This Course Matters:
As voice interfaces become increasingly prevalent across industries, proficiency in building and deploying AI voice agents is a valuable skill. This course provides the knowledge necessary to create advanced voice applications that can operate effectively in real-world scenarios.