[Official] Rasa Certification Workshop
What you'll learn
- How to build a real-world contextual assistant with Rasa Open Source and Rasa X
- Conversation Design
- The basics of conversational AI
- How to improve your assistant using conversation-driven development with Rasa X
- How to connect your bot to an external messaging channel (Telegram)
- DIET Architecture
- TED policy
Requirements
- Familiarity with GitHub
- 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
NOTE: As of August 25 2021 this course is not longer actively supported by the Rasa team. If you have questions, please head to the Rasa forums at forum [dot] rasa [dot] com
This workshop includes 7 hours of recorded lesson videos. The workshop is taught by Rasa experts: Justė Petraitytė, Head of Developer Relations, Mady Mantha, Senior Product Evangelist, and Karen White, Developer Marketing Manager.
Prerequisites
This workshop is leveled for intermediate Rasa developers. While you don’t need to have built a complex Rasa assistant before the workshop, workshop attendees who have already built a simple assistant may find it easier to follow the material.
While you don’t need to be an expert with these tools, familiarity with the command line, GitHub, Git, Python, and some experience with making API requests are recommended.
Part 1: Welcome and deep dive into Rasa
Intro to Rasa
Conversation Design
Deep dive into NLU
Deep dive into dialogue policies
Conversation Driven Development and testing
Part 2: Adding custom actions, forms and improving your assistant using Rasa X
Events and Slots
Custom actions and Forms
Improving the assistant using Rasa X
Connecting the assistant to an external messaging channel (Telegram)
Certification
At the end of the workshop, you’ll complete a multiple choice certification exam. Students who score 70% and above will receive a digital certificate acknowledging completion of Rasa Certification course.
Who this course is for:
- Python developers
- conversation designers
- product managers
- data scientists
- Developers new to building AI assistants with Rasa
Course content
- Preview32:58
Instructor
![Rasa Technologies](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.4 Instructor Rating
- 795 Reviews
- 9,540 Students
- 2 Courses
Rasa supplies the standard infrastructure for conversational AI, providing the tools required to build better, more resilient contextual assistants. With more than 3 million downloads since launch, Rasa Open Source is loved by developers worldwide, with our friendly, fast-growing community learning from each other and working together to make better text- and voice-based AI assistants. Rasa offers three key products in its suite of conversational AI offering. Rasa Open Source is the most popular open source software in conversational AI. Rasa X, released in 2019, is a free toolset that helps developers quickly improve and share an AI assistant built with Rasa Open Source. Rasa Enterprise is the company's commercial offering, providing an enterprise-grade platform for developing contextual assistants at scale. Rasa runs in production everywhere from startups to Fortune 500s, and provides the data privacy and security needed to enterprises of every size. Rasa is privately held, with funding from Accel, Andreessen Horowitz, Basis Set Ventures, and others. The company was founded in 2016 and has offices in San Francisco and Berlin.