Ever increasing customer expectations like emotional connect, 24x7 availability, real-time response, enterprise presence in their preferred platforms or channels have changed the preferences and demand for personalised services. According to the recently updated International Data Corporation (IDC) Worldwide Artificial Intelligence Systems Spending Guide, spending on AI systems will reach US$97.9 billion by 2023, more than two and a half times of the US$37.5 billion that was spent in 2019. The Compound Annual Growth Rate (CAGR) for the 2018-2023 forecast period will be 28.4%. Globally, vendors of consumer devices such as phones, speakers, displays, wearables and others are competing and investing billions to make them feature-rich, more powerful, connected and affordable. The objective of the course is to enable the attendees to acquire knowledge on chatbots and its terminologies, Machine Learning (ML) concepts and different algorithms to build custom ML models, facilitate better understanding of conversational experiences and create better customer experiences. Conversational experiences will use the right mix of multimodal experience involving Natural Language Processing (NLP), speech recognition, multimedia, vision, and virtual reality for better and personalised results of customer acquisition, retention and revenue. Hands-On A virtual hands-on environment is integrated within the course. Students will have to leverage this environment to complete the industry assignment as well as to complete the Part B section of the summative assessment.