MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 8 lectures (7h 7m) | Size: 4.25 GB
Earn a Rasa Certification and learn how to build a real-world contextual assistant.
How to build a real-world contextual assistant with Rasa Open Source and Rasa X
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)
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
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.
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
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)
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.
Developers new to building AI assistants with Rasa