A conversation interface is the best way for machines to interact with customers. Chatbots and voice user interfaces are two flavors of conversational UIs. Chatbots are real-time, answer engines backed by data that respond in natural language, and are context-aware. Voice user interfaces can understand our voice and respond to customers using speech.
Building Conversational UIs with Neural Networks training course explores 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 messaging bot from the Facebook Messenger API to understand the basics of bot building. Then we'll design a Task model that can perform complex tasks such as ordering and planning events with the newly-acquired-by-Google Dialogflow or Microsoft Bot framework.
By attending Building Conversational UIs with Neural Networks workshop, delegates will learn to:
- 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
- Basic to intermediate IT skills
- Basic coding syntax skills are helpful
- Good foundational mathematics or logic skills
- Basic Linux skills
- UI Developers, Analysts, and professionals who intend to build chatbots and conversational UIs with tools such as Chatfuel, Dialogflow, Microsoft Bot Framework, Twilio, Alexa Skills, and Google Actions for channels like Facebook Messenger, Amazon Alexa, and Google Home.