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

Need different skills or topics?  If your team requires different topics or tools, additional skills or custom approach, this course may be further adjusted to accommodate.  We offer additional AI, machine learning, deep learning, Intelligent web developent, programming and other related topics that may be blended with this course for a track that best suits your needs. Our team will collaborate with you to understand your needs and will target the course to focus on your specific learning objectives and goals.

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

Please see the Related Courses tab for specific Pre-Requisite courses, Related Courses that offer similar skills or topics, and next-step Learning Path recommendations.

Course Agenda

Please note that this list of topics is based on our standard course offering, evolved from typical industry uses and trends. We will work with you to tune this course and level of coverage to target the skills you need most.

Introduction

• Conversational user interfaces
• Developer's toolkit
• Benefits
• Chatbots are here to stay

Tour Guide for Your City

• Getting started
• Building your first bot
• Basic building blocks
• Default blocks
• Next steps
• More cards
• Navigation
• Managing context
• Understanding natural language
• Backend processing
• Broadcasting
• Bot templates
• Analytics

Let's Talk Weather

• Conversational tasks
• Conversational design
• Backend tasks
• Implementing the chatbot
• Creating a chatbot web service
• Publishing on Facebook Messenger
• More Facebook message formats

Building a Persona Bot

• Introducing Dialogflow

Let's Catch a Train

• Exploring Transport API
• Conversational design
• Building a simple SMS bot
• Building a two-way chatbot

Restaurant Search

• MS Bot Framework
• Building a bot
• Getting started with Zomato
• Restaurant search bot
• Connecting to Skype

The News Bot

• Getting started with the Twitter app
• Building your first Twitter bot
• Exploring the Twitter SDK
• Exploring a news data service
• Building a Twitter news bot
• Building a personalized news bot

My TV Guide

• Amazon Alexa
• Warming up with a quotes bot
• My TV guide
• Built-in intents and slot types

My Man Friday

• To-do List
• Building an action

Course Materials

Each student will receive a Student Guide with course notes, code samples, software tutorials, diagrams and related reference materials and links (as applicable). Our courses also include step by step hands-on lab instructions and and solutions, clearly illustrated for users to complete hands-on work in class, and to revisit to review or refresh skills at any time. Students will also receive the project files, datasets, code and solutions (as applicable) required for the hands-on work.