[100% Off] Rasa Ai Platfrom Practice Test-2025

Learn Rasa NLU, Dialogue Management with Stories & Rules, and use Custom Actions to build advanced conversational AI.

Added on September 7, 2025 IT & Software 2 min read

What you’ll learn

Build a fully functional
AI-powered chatbot from scratch using the open-source Rasa framework.
Master Natural Language Understanding (NLU) by defining intents
entities
and training robust models to understand user input accurately.
Design dynamic and context-aware conversation flows using stories
rules
and forms to handle complex user interactions.
Connect your Rasa assistant to external APIs and databases using custom actions to perform real-world tasks and fetch live data.

Requirements

You should be comfortable with Python syntax
functions
and data structures like dictionaries and lists.

Description

Are you ready to move beyond simple, rule-based bots and start building truly intelligent, context-aware conversational AI? Welcome to the most comprehensive, hands-on guide to the Rasa framework!

Rasa is the leading open-source platform for building industrial-strength AI assistants, giving you complete control over your data, models, and infrastructure. In this course, we will take you on a journey from the absolute basics to becoming a confident Rasa developer, capable of building sophisticated chatbots that can handle complex, real-world conversations.

We’ll start with the core fundamentals, ensuring you have a solid foundation. You will then dive deep into the two pillars of the Rasa framework:

Natural Language Understanding (NLU): You’ll master the art of teaching a machine to understand human language. We’ll cover intents, entities, lookup tables, and regexes to build a robust NLU model that accurately captures what your users are saying.
Dialogue Management: This is where your assistant comes to life. You’ll learn to design dynamic conversation flows using a powerful combination of stories, rules, and forms. You’ll handle everything from simple FAQs to complex, multi-turn interactions where the chatbot needs to collect information from the user.

The real power of Rasa lies in its ability to connect to the outside world. That’s why we dedicate a significant portion of the course to Custom Actions. You will learn to write custom Python code to connect your assistant to external APIs, query databases, and perform any task you can imagine, making your chatbot incredibly powerful and useful.

This course is packed with hands-on exercises, quizzes, and a capstone project where you will build a fully functional AI assistant from scratch.

By the end of this course, you won’t just know Rasa—you’ll be ready to design, build, and deploy your own conversational AI applications.

Enroll today and start your journey into the exciting world of conversational AI!