Conversational AI Training Overview
This Building Conversational AI Applications training course teaches attendees how to build AI-powered experiences like virtual assistants, chatbots, and smart speakers. In addition, participants learn how to leverage conversational AI services, including transcription, NLP, and speech, using the NVIDIA® Riva framework.
Location and Pricing
This course is taught as a private, live online class for teams of 3 or more. All our courses are hands-on, instructor-led, and tailored to fit your group’s goals and needs. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for online corporate training, please contact us.
In addition, some courses are available as live, instructor-led training from one of our partners.
Objectives
- Understand automatic speech recognition (ASR) pipelines and critical components
- Craft custom acoustic models, explore decoders, and add punctuation and language identification features
- Uncover the secrets of text-to-speech (TTS) pipelines and customize pronunciations for natural-sounding interactions
- Integrate ASR, NLP (Natural Language Processing), and TTS into a full pipeline and deploy it on the NVIDIA Riva platform
- Optimize performance, tackle scaling issues, and master Kubernetes cluster deployments for real-world applications
Prerequisites
- Basic Python programming experience
- Fundamental understanding of a deep learning framework, such as TensorFlow, PyTorch, or Keras
- Basic understanding of neural networks
Outline
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Introduction to Conversational AI
- Explore the conversational AI landscape and gain a deeper understanding of the key components of ASR pipelines
- Work through an ASR model example from audio to spectrogram to text
- Explore decoders, customizations, and additional models, including inverse text normalization (ITN), punctuation and capitalization, and language identification
- Deploy Riva ASR
Customized Conversational AI Pipelines
- Explore the key components of the TTS pipeline and full pipeline customizations
- Explore the spectrogram generator model and the vocoder model
- Work with text normalization and grapheme to phoneme (G2P) conversion to customize pronunciations
- Deploy a full ASR-NLP-TTS custom pipeline in Riva
Inference and Deployment Challenges
- Explore challenges related to performance, optimization, and scaling in the production deployment of conversational AI applications
- Gain an understanding of the inference deployment process
- Analyze non-functional requirements and their implications
- Use a Helm chart to deploy a conversational AI application with a Kubernetes cluster
Conclusion
Training Materials
All attendees receive official courseware from NVIDIA in electronic format.
Software Requirements
The class will be conducted in a remote environment that Accelebrate will provide; students will only need a local computer with a web browser and a stable Internet connection. Any recent version of Microsoft Edge, Mozilla Firefox, or Google Chrome will be fine.
