Conversational AI and Chatbot Systems

This course offers a thorough introduction to the world of conversational AI and chatbots. With the growing popularity of these technologies, businesses are keen to leverage their benefits in terms of improved customer engagement, task automation, and cost reduction.

Coming soon!

Why study this course?

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.

Who should take this course?

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.

Please note that this course is only available to Postgraduate students and members of the staff at BSBI. If you are a current student or staff, please email academicinquiry@berlinsbi.com

Coming soon!

What skills will you gain?

By the end of this course, you will have gained the following skills:

  1. A comprehensive understanding of the principles of conversational AI and chatbot development.
  2. Knowledge of natural language processing techniques and tools.
  3. Ability to analyse effective conversations between chatbots and users.
  4. Familiarity with chatbot analysis using popular platforms.
  5. Familiarity with the different applications of chatbots in business and industry.

Programme Structure

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:

Modules

Assignments

  • 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.

How will you learn?

  • Live learning from an expert faculty
  • Learning from an industry expert
  • Committed support team
  • High-tech learning platform
  • Form discussion for peer-to-peer learning
  • Integrated assignments
  • Breakout rooms
  • Questions and answers
  • Writing skills
  • Flexible learning

Learning Outcomes

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.