Conversation as an interface is the best way for machines to interact with us using the universally accepted human tool that is language. Chatbots and voice user interfaces are two flavors of conversational UIs. Chatbots are real-time, data-driven answer engines that talk in natural language and are context-aware. Voice user interfaces are driven by voice and can understand and respond to users using speech. Chatbots and Conversational UI Development with Neural Networks is a fast-paced, hand-on course that explores both types of conversational UIs by leveraging APIs from multiple platforms. We'll take a project-based approach to understand how these UIs are built and the best use cases for deploying them. We'll start by building a simple messaging bot from the Facebook Messenger API to understand the basics of bot building. Then we move on to creating a Task model that can perform complex tasks such as ordering and planning events with the newly-acquired-by-Google Dialogflow and Microsoft Bot framework. We then turn to voice-enabled UIs that are capable of interacting with users using speech with Amazon Alexa and Google Home.

starstarstarstarstar_half

* Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Learning Objectives

Working in a hands-on lab environment led by our expert instructor, attendees will

Understand the different use cases of Conversational UIs with this project-based guide
Build feature-rich Chatbots and deploy them on multiple platforms
Get real-world examples of voice-enabled UIs for personal and home assistance.
Cover advanced and state-of-the-art neural network architectures
Understand the theory and math behind neural networks
Train DNNs and apply them to modern deep learning problems
Use CNNs for object detection and image segmentation
Implement generative adversarial networks (GANs) and variational autoencoders to generate new images
Solve natural language processing (NLP) tasks, such as machine translation, using sequence-to-sequence models
Understand DL techniques, such as meta-learning and graph neural networks

Course Info

Not Your Location? Change

Cost: $ 2,395

Length: 3.0 days (24 hours)

Level:

Next Available Classes:

Schedule select
12
Apr
Wednesday
10:00 AM ET -
6:00 PM ET
Almost Full
5 seat(s) left
Schedule select
21
Jun
Wednesday
10:00 AM ET -
6:00 PM ET
Full
Wait List
Schedule select
06
Sep
Wednesday
10:00 AM ET -
6:00 PM ET
Full
Wait List
Schedule select
15
Nov
Wednesday
10:00 AM ET -
6:00 PM ET
Full
Wait List
Loading...