Enjoy a 25% discount on our courses this winter 2025.Enjoy a 25% discount on our courses this winter 2025.
In this introductory Conversational AI course, you will learn the fundamentals of conversational design in virtual assistants, how to create, implement, and test efficient flows capable of interacting naturally with users.
Welcome to the Conversational AI course, where we will explore the fascinating technology behind chatbots, virtual assistants, and other human–computer interaction systems based on Natural Language Processing (NLP). As Artificial Intelligence continues to evolve and transform how we interact with technology, Conversational AI has become an essential tool for companies of all types and sizes, enabling more fluid and personalized communication with customers. In this course, you will learn the fundamentals of Conversational AI, including how NLP works, how to train Machine Learning models to understand and generate human language, and how to design and build chatbot and virtual assistant systems that are effective and useful for users. We will also explore the ethical challenges and considerations associated with implementing Conversational AI, and how to ensure these systems are designed and used responsibly and fairly. Whether you are a developer interested in building chatbots and virtual assistants, a business owner looking to improve customer service, or simply someone interested in learning more about Conversational AI technology, this course is for you. Let’s get started!
The student will be able to define Artificial Intelligence, its areas and applications. In addition, they will be able to describe its history and understand the different milestones that have shaped this industry to date.
The student will be able to define Conversational AI, its areas and applications. They will also be able to diagram the main components in an H <-> M conversation. Finally, they will learn about the most widely used Conversational AI tools in the field.
The student will be able to define NLP, its areas, applications, and most used tools. They will also be able to understand the process by which NLP is implemented at the conversational level and in different areas.
The student will learn about the linguistics behind Human–Machine conversations, as well as reasoning processes and sequential organization in these interactions. Finally, they will understand turn-taking exchanges in conversations and their application in Conversational AI.
The student will learn how to design conversations for Human–Machine interactions, whether written or voice-based. They will also learn essential techniques to create natural, less robotic interactions.
The student will learn to implement personality and human behaviors in interactions between humans and digital systems. They will also understand the processes, tools, and techniques behind creating a Human–Machine conversation.
The student will learn to carry out data analysis from different sources to identify the user, their behavior, personality, and other significant aspects for Human–Machine interaction.
The student will learn to implement user experience in Human–Machine conversational interactions. The process will allow the student to design prototypes of voice and text virtual assistants.
The student will learn to design conversation flows for Human–Machine interactions. They will also learn to use different tools and methodologies for implementation.
The student will learn to perform tests and identify the most common errors in Human–Machine interactions, especially for text and voice virtual assistants.
The student will build a conversational prototype for both a text and voice virtual assistant.
The course concludes with certificate delivery and a review of everything covered, including considerations for starting in the industry. Finally, questions are addressed and the student is given a recommended career path.
Instructor with over 10 years of experience in web and mobile platform development. He has completed around 35 AI projects in the last 5 years of his career, including chatbots, voicebots, and NLP automation and speech analytics processes, among others.
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