Introduction to Advance Features in Rasa Chatbot Framework 2
Learn how to add advanced features to your Rasa Chatbot in this 1-hour long project-based course. Discover Rasa X, a tool for developing your chatbot, and learn how to create Forms, validate inputs, use retrieval intents, and add Fallback Actions. Note: this course works best for learners in North America. ▼
ADVERTISEMENT
Course Feature
Cost:
Paid
Provider:
Coursera
Certificate:
Paid Certification
Language:
English
Start Date:
15th May, 2023
Course Overview
❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [July 07th, 2023]
This 1-hour long project-based course introduces learners to the advanced features of the Rasa Chatbot Framework 2. Learners will learn how to use Rasa X to interactively train their chatbot and share it with others. They will also learn how to create Forms to collect information from users, validate inputs, and use dynamic and conditional slot mapping. Additionally, learners will learn about retrieval intents and how to use them to handle small talk, as well as how to add Fallback Actions to handle failures. This course is best suited for learners based in the North America region.
[Application]
After completing this course, learners can apply the knowledge gained to create their own Rasa Chatbot with advanced features. They can use Rasa X to interactively train their chatbot and share it with others. They can also create Forms to collect information from users, validate inputs, and use retrieval intents to handle small talk. Finally, they can add Fallback Actions to handle failures in case the chatbot is not confident about the user's message.
[Career Path]
One job position path that is recommended to learners of this course is a Rasa Chatbot Developer. A Rasa Chatbot Developer is responsible for developing and maintaining chatbot applications using the Rasa framework. They must have a strong understanding of natural language processing (NLP) and machine learning (ML) technologies, as well as the ability to design and implement complex chatbot applications. They must also be able to troubleshoot and debug any issues that arise with the chatbot.
The development trend for Rasa Chatbot Developers is to become more specialized in the Rasa framework and its related technologies. As the technology advances, developers must stay up to date with the latest advancements in order to create more sophisticated and efficient chatbot applications. Additionally, developers must be able to integrate the chatbot with other systems and services, such as voice recognition and natural language understanding. As the demand for chatbot applications increases, the need for Rasa Chatbot Developers will also increase.
[Education Path]
The recommended educational path for learners interested in developing chatbots with Rasa is to pursue a degree in Computer Science or a related field. This degree will provide learners with the foundational knowledge and skills needed to understand the fundamentals of computer programming, software engineering, and artificial intelligence. Additionally, learners should focus on courses related to natural language processing, machine learning, and data science. These courses will provide learners with the necessary skills to develop and deploy chatbots with Rasa.
The development trend for chatbot technology is rapidly evolving. As the technology advances, so does the need for more advanced skills and knowledge. Therefore, learners should stay up to date with the latest advancements in the field and continue to develop their skills. Additionally, learners should consider pursuing certifications or additional courses to stay ahead of the curve.
Course Provider
Provider Coursera's Stats at AZClass
Discussion and Reviews
0.0 (Based on 0 reviews)
Start your review of Introduction to Advance Features in Rasa Chatbot Framework 2