United States
United States
This course is designed to help professionals develop their skills in Conversational AI with Rasa. You will learn the basics of Rasa, including an introduction to the concept of “conversational AI” and why it is revolutionizing the way businesses interact with customers. The course will then demonstrate how to use Rasa to build conversational AI models, such as chatbots. You will learn how to use Rasa’s tools and libraries to create conversations, understand user inputs, and respond intelligently. At the end of the course, you will be able to create an end-to-end conversational AI model, integrating it with an existing application or deploying it as a standalone product. By the end of this course, you will be able to leverage Rasa to build conversational AI models that can effectively interact with users in a personalized and automated way.
Get 1-on-1 session with our expert trainers at a date & time of your convenience.
Flexible Dates
Start your session at a date of your choice-weekend & evening slots included, and reschedule if necessary.
4-Hour Sessions
Training never been so convenient- attend training sessions 4-hour long for easy learning.
Destination Training
Attend trainings at some of the most loved cities such as Dubai, London, Delhi(India), Goa, Singapore, New York and Sydney.| Live Online Training (Duration : 32 Hours) | |||
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No specific prerequisites are needed to take this Conversational AI with RASA Training. Basic programming knowledge and a working knowledge of Python is beneficial.
The target audience for conversational AI with RASA training is businesses and organizations that wish to build conversational AI systems such as chatbots, virtual assistants, and automated customer service agents
These organizations need to process natural language inputs, interpret user intents, and provide appropriate responses
RASA provides machine learning-based, state-of-the-art natural language understanding, along with machine learning-backed dialogue management systems, to enable businesses to build conversational AI services
These services are valuable to any business wanting to improve their customer experience and satisfaction, from restaurants to retail stores to medical practices
1. Understand the architecture of Rasa and its components such as Rasa NLU, Rasa Core and Rasa SDK.
2. Learn how to create the Rasa NLU model with the help of intents, entities and dialogues.
3. Acquire knowledge on mechanisms like slots and stories in Rasa Core and insights on action scripts.
4. Comprehend the concept of deployment of Rasa applications and integration of Rasa with Third party APIs
5. Gain insights on improvisations to enhance the conversational AI model, such as using machine learning techniques, natural language processing approaches and reinforcement learning algorithms.
