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Conversational AI Demystified

Master the art of Conversational AI, starting from the fundamentals and progressing to advanced techniques.


This comprehensive course covers the basics of Conversational AI, explores popular conversational AI platforms, and dives deep into advanced topics such as Large Language Models (LLMs) and prompt engineering.


By the end of this course, the candidate will have the skills and knowledge to build sophisticated conversational agents that deliver exceptional user experiences for several use cases and application domains.

The course is offered in several modules groupped into different levels

Level-based Courses

Basis Level

  • Module 1: Introduction to Conversational AI

  • Module 2: Fundamentals of Natural Language Processing (NLP)

  • Module 3: Building Basic Chatbot Interfaces

Duration 10 Hours

Intermediate Level

  • Module 4: Developing Conversational AI Solution

  • Module 5: Advanced NLP Techniques for Conversational AI

  • Module 6: Large Language Models (LLMs)

Duration: 15 Hours

Advanced Level

  • Module 7: Prompt Engineering for Conversational AI

  • Module 8: Evaluation and Improvement of Conversational AI solution

  • Module 9: Conversational AI Deployment and Management

  • Module 10: Ethical Considerations and Future Trends

Duration 20 Hours

Individual Modules

Module 11: Large Language Models (LLMs)

- Understanding Large Language Models (LLMs)

- Architecture, training and finetuning (e.g., GPT-3, BERT)

- Prompt Engineering

- Deploying LLM in practical application

- Giving an animated face to LLM

Duration 12 Hours

Module 12: LLM based Conversational AI for Business Executives

- What is LLM based Chatbots

- Business use cases & applications

- How to get most out of it without technical insights

- Prompt Crafting

- Asking the right question in the right way

- Advantages and Limitations

- Privacy and data protection

- Emerging trends and future directions

Duration: 8 Hours

Module 13: Python for Conversational AI

Allowing to get the minimal programming and technical foundation for practical aspects of conversational AI.

Candiates having a basic  programming knowledge (in Python/C++/Java, ...) need to opt for this course.

Duration 5 Hours

Course Outcome

The candidate will work on a hands-on project in each level of the course. Depending upon the level and module different outcomes will be achieved through hands-on projects.

The entire course (all the three levels) will result in building a complete functional chatbot or virtual assistant from scratch.

The project will involve implementing Natural Language Processing (NLP) techniques, designing conversational interfaces, integrating external services, and deploying the chatbot on a chosen platform.

The candidate will be guided through the entire project lifecycle, from requirements gathering to testing and fine-tuning the conversational agent. By the end of this course, the candidate will have a deep understanding of the fundamentals of this highly emerging and demanding field and the advanced techniques in Conversational AI, including LLMs (Large Language Models), prompt engineering, and domain-specific customization. The candidate will be equipped to tackle complex conversational challenges and build highly intelligent and engaging chatbots and virtual assistants.

Whether the candidate is a developer, designer, or business professional, this course will equip the candidate with the tools to leverage the power of Conversational AI in various domains.

For level-based courses (basic, intermediate and advanced levels):

  • Individuals can register to for a particular level provided the prerequisite of the level is fulfilled.

  • Candidates cannot register for one particular module in level-based courses, for example module 6. As modules are carefully grouped to reach the objectives of the level.


For Individual Modules based courses, candidates can register for any particular module, as each module is self-contained, provided the prerequisite of the module is fulfilled.


Meet the Instructors and Experts

An exceptional mix of Industry, Academics and Scientific experts.

  • LinkedIn

Primary Instrcutor

Dr. Chandrakant Bothe (Ph.D.)


PhD, Conversational AI and Robotics, Germany

  • LinkedIn

Academics and Innovation Expert

Dr. Alon Rozen (Ph.D.)


Dean, CEO & Professor of Innovation,

École des Ponts Business School, Paris, France

  • LinkedIn

Industry Expert

Dr. Amit Kumar Pandey (Ph.D.)


PhD, Robotics and AI

Ex-CTO, President, Hanson Robotics, Hong Kong

Ex-Chief Scientist SoftBank Robotics Europe

Co-Founder of Conversational AI Avatar Company

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