Requirements
- Familiarity with Python or another backend programming language
- Familiarity with writing code in a text editor and working with the command line
- Some experience with REST APIs and developer tools
Description
This course was developed by instructors from Rasa to give developers a solid foundation in the basics of building AI assistants. During this hands-on, project-based course, you'll build an AI assistant that collects a daily log of health data by text message and posts the data to a spreadsheet.
You'll learn how to:
Install Rasa Open Source and create a new project.
Create and format training data.
Collect data from the user with Rasa forms
Connect with an external API using Rasa custom actions
Connect your assistant to Twilio
Keep improving your assistant using conversation driven development principles
Who this course is for:
- Python developers, conversation designers, product managers, and data scientists who are new to building AI assistants with Rasa
Instructor
- 4.3 Instructor Rating
- 1,553 Reviews
- 12,228 Students
- 1 Course
Mady Mantha is the Head of Evangelism at Rasa. Mady studied Computer Science at Georgetown University. Her work focuses on natural language processing, and operationalizing machine learning and conversational AI pipelines. She has years of experience building ML-driven products and services for think tanks, startups, and enterprises. Mady is a space enthusiast.