Build Chatbots! Chatbots and Conversational UI Development with Neural Networks

Course Objectives

Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern "on-the-job" modern applied AI and machine learning experience into every classroom and hands-on project. 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 Prerequisites

This in an intermediate-level course is geared for attendees who wish to create their own line of chatbots and voice UIs for multiple leading platforms.

Attending students should have the following incoming skills:

• Basic to Intermediate IT Skills.
• Basic coding syntax skills are helpful. Attendees without a programming background like Python may view labs as follow along exercises or team with others to complete them.
• Good foundational mathematics or logic skills
• Basic Linux skills, including familiarity with command-line options such as ls, cd, cp, and su