Conversational AI and chatbots have become increasingly popular in recent years as businesses look to improve customer engagement, automate routine tasks, and reduce costs. This course provides you with a comprehensive understanding of the fundamentals of conversational AI and chatbot systems, including natural language processing, dialogue management, and chatbot systems analysis.
This course is designed for individuals who are interested in learning about conversational agents (and chatbots) as well as how they efficiently work. It is particularly suitable for students (as well as business professionals) who want to expand their skill set and learn about the latest trends in conversational AI. Additionally, this course is beneficial for business professionals who want to understand how chatbots can be used to improve customer service, sales, and marketing.
By the end of this course, you will have gained the following skills:
Delivery: Blended (on campus and online)
Duration: 6 Days (4 - 6 hours per day)
Campus: Berlin
Degree awarded by: Berlin School of Business and Innovation
Price:
During this course, students will have the opportunity to learn about a range of topics related to conversational AI and chatbot development. The programme is divided into the following modules:
1. Introduction to Conversational AI and Chatbots: This module provides an overview of conversational AI and chatbots, including the history and evolution of these technologies, their key components, and the different types of chatbots that are available.
2. Natural Language Processing (NLP): In this module, students will learn about the basics of NLP and how it is used to enable chatbots to understand and process human language. They will also learn about the different techniques and tools that are used in NLP, including sentiment analysis, entity recognition, and intent classification.
3. Dialogue Analysis and Management: This module covers the principles of dialogue as well as dialogue management, and how it is used to create effective conversations between chatbots and humans. Students will learn about the different approaches to dialogue management, including rule-based systems, state machines, and machine learning-based systems.
4. Chatbot Systems: In this module, students will learn about the different aspects of chatbot systems (that are mainly user interface, conversation function, and personality component). They will also learn how chatbots will be engaging, helpful, and effective.
1. Chatbot Analysis
a. Students will analyse a chatbot system for a specific business or industry.
b. Students will evaluate the chatbot’s functionality and effectiveness in engaging with users and solving their queries.
2. Natural Language Processing Analysis
a. Students will analyse a dataset of customer conversations and use natural language processing tools to extract insights about customer sentiment, intent, and behaviour.
3. Chatbot Use Case Analysis
a. Students will research and analyse different use cases of chatbots in different industries, such as healthcare, retail, or banking.
b. Based on their analysis, students will identify the potential benefits and challenges of implementing chatbots in a specific industry or business function.
4. Chatbot Marketing Campaign
a. Students will design and execute a marketing campaign to promote a chatbot system for a specific business or industry.
b. They will evaluate the campaign's effectiveness in terms of user engagement, lead generation, and ROI.
5. Chatbot Ethics and Privacy
a. Students will research and analyse the ethical and privacy implications of using chatbots in business and industry.
b. Based on their analysis, they will suggest guidelines for designing and implementing chatbot systems that respect users' privacy and ethical standards.
Upon completion of this course, students will be able to:
• Demonstrate a comprehensive understanding of the principles of conversational AI and chatbot development.
• Apply natural language processing techniques and tools to build effective chatbots.
• Analyse and evaluate conversations between chatbots and users, ensuring optimal user engagement.
• Conduct chatbot analysis using popular platforms to enhance chatbot performance.
• Identify and describe the various applications of chatbots in business and industry.