Course Code: chatbotsfordev
Duration: 14 hours
Prerequisites:
  • Knowledge of application development and programming languages
  • Understanding of artificial intelligence (AI) and natural language processing (NLP) concepts

Audience

  • Developers
Overview:

Chatbots (also called chatterbots or conversational agents) are software applications that use artificial intelligence (AI) to interact and communicate with users via text, voice, or text-to-speech. Chatbots enable businesses to provide an automated service for customers, employees, and site visitors at a minimum cost.

This instructor-led, live training (online or onsite) is aimed at developers who wish to install, set up, and manage chatbot-building platforms and code-based frameworks to create and deploy chatbot services.

By the end of this training, participants will be able to design, build, evaluate, and test chatbot services to provide automated chat or voice support interfaces for their users.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
Course Outline:

Introduction

Overview of Chatbots and Artificial Intelligence (AI)

Understanding Chatbot Architecture and Natural Language Processing (NLP)

Exploring Applications for Chatbots and Chatbot Types

Understanding Customer Goals and Needs

Designing Chatbot Scripts and Flow

Building Chatbots Using Code-Based Frameworks

Exploring Existing Platforms for Building Chatbots

Setting Up a Developer Environment for Chatbots

Working with Training Data for NPL Models

Pre-Processing Incoming Data

Designing a Text Classifier Model

Working with Entities, Intents, and Contexts

Working with Server Integration and Data Syncing

Creating a Simple Text-Based Chatbot

Creating a Simple Voice-Based Chatbot

Using Speech Recognition Technology

Evaluating and Testing Chatbots

Troubleshooting

Summary and Conclusion

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