Rasa Certification Workshop
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 4.21 GB
Genre: eLearning Video | Duration: 8 lectures (7 hour, 7 mins) | Language: English

Earn a Rasa Certification and learn how to build a real-world contextual assistant

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

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

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