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 Instructor-Led Workshop
Building Conversational
AI Applications

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Conversational AI is the technology that powers automated messaging and speech-enabled applications, and its applications are used in diverse industries to improve the overall customer experience and customer service efficiency.

Conversational AI pipelines are complex and expensive to develop from scratch. In this course, you’ll learn how to build conversational AI services using the NVIDIA® Riva framework. With Riva, developers can create customized language-based AI services for intelligent virtual assistants, virtual customer service agents, real-time transcription, multi-user diarization, chatbots, and much more.

In this workshop, you’ll learn how to quickly build and deploy a conversational AI pipeline including transcription, NLP, and speech. You’ll explore automatic speech recognition (ASR) and text-to-speech (TTS) models and their customization in detail with the NVIDIA NeMo framework and learn how to deploy the models with Riva. Finally, you’ll explore the production-level deployment performance and scaling considerations of Riva services with Helm charts and Kubernetes clusters.

 

Learning Objectives


By participating in this workshop, you’ll learn:
  • How to customize and deploy ASR and TTS models on Riva.
  • How to build and deploy an end-to-end conversational AI pipeline, including ASR, NLP, and TTS models, on Riva.
  • How to deploy a production-level conversational AI application with a Helm chart for scaling in Kubernetes clusters.

Download workshop datasheet (PDF 318 KB)

Workshop Outline

Introduction
(15 mins)
  • Meet the instructor.
  • Create an account at courses.nvidia.com/join
Introduction to Conversational AI
(120 mins)
    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.
Break (60 mins)
Customized Conversational AI Pipelines
(120 mins)
    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.
Break (15 mins)
Inference and Deployment Challenges
(120 mins)
    Explore challenges related to performance, optimization, and scaling in 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.
Break (15 mins)
Final Review
(15 mins)
  • Review key learnings and answer questions.
  • Complete the assessment and earn a certificate.
  • Complete the workshop survey.
  • Learn how to set up your own AI application development environment.
Next Steps Continue learning with these DLI trainings:
  • Get Started with Highly Accurate Custom ASR for Speech AI
  • Building Transformer-Based Natural Language Processing Applications
  • Accelerating Data Engineering Pipelines
 

Workshop Details

Duration: 8 hours

Price: Contact us for pricing.

Prerequisites:

  • Basic Python programming experience
  • Fundamental understanding of a deep learning framework, such as TensorFlow, PyTorch, or Keras
  • Basic understanding of neural networks

Tools, libraries, and frameworks: NVIDIA Riva, NVIDIA NeMo, Kubernetes

Assessment Type: 

  • Skills-based coding assessments evaluate your ability to build a conversational AI application.
  • Multiple-choice questions evaluate your understanding of the conversational AI concepts presented in the class.

Certificate: Upon successful completion of the assessment, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency and support professional career growth.

Hardware Requirements: Desktop or laptop computer capable of running the latest version of Chrome or Firefox. Each participant will be provided with dedicated access to a fully configured, GPU-accelerated workstation in the cloud.

Languages: English

Upcoming Public Workshops

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Mon, Apr 12, 2021

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Tue, Jul 27, 2021

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Upcoming Public Workshops

North America / Latin America

Thursday, October 28, 2021
9:00 a.m.–5:00 p.m. PDT

Europe / Middle East / Africa

Wednesday, November 24, 2021
9:00 a.m.–5:00 p.m. CET

REGISTER NOW

If your organization is interested in boosting and developing key skills in AI, accelerated data science, or accelerated computing, you can request instructor-led training from the NVIDIA DLI.

Request a Workshop

Continue Your Learning with These DLI Trainings

FUNDAMENTALS
NEW
 

Fundamentals of Deep Learning

8 hours | TensorFlow 2, Keras, Pandas

 Certificate Available

FUNDAMENTALS
NEW
 

Building Transformer-Based Natural Language Processing Applications

8 hours | PyTorch, pandas, NVIDIA NeMo ™, NVIDIA Triton ™ Inference Server

 Certificate Available

FUNDAMENTALS
NEW
 

Accelerating Data Engineering Pipelines

8 hours | Pandas, cuDF, Dask, NVTabular, Plotly

 Certificate Available

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NVIDIA DLI Certificate

NVIDIA DLI certificates help prove subject matter competency and support professional career growth. Certificates are offered for select instructor-led workshops and online courses.

Use your DLI certificate to highlight your new skills on LinkedIn, potentially boosting your attractiveness to recruiters and advancing your career. Follow these step-by-step instructions to update your profile and add your certificate to the “Licenses and Certifications” section.

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