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30-Day Money-Back Guarantee

This course includes:

  • 7 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
IT & Software IT Certification Chatbot

[Official] Rasa Certification Workshop

Earn a Rasa Certification and learn how to build a real-world contextual assistant.
Bestseller
Rating: 4.3 out of 54.3 (233 ratings)
1,067 students
Created by Rasa Technologies
Last updated 9/2020
English
English [Auto]
30-Day Money-Back Guarantee

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
Curated for the Udemy for Business collection

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

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

7 sections • 8 lectures • 7h 7m total length

  • Preview15:01

  • Preview59:14

  • Conversation design and NLU Deep dive
    37:40

  • DIET Architecture & TED Policy
    54:13

  • Events, slots, and custom actions
    01:07:01
  • Implementing Forms
    01:20:20

  • Conversation-Driven Development and Connecting to Messaging Platform
    01:26:00

  • Review and Next Steps
    27:52
  • Certification Exam
    30 questions

Instructor

Rasa Technologies
Build contextual assistants that really help customers
Rasa Technologies
  • 4.4 Instructor Rating
  • 281 Reviews
  • 4,819 Students
  • 3 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.

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