Cognigy.AI Foundation Training

The Cognigy.AI Foundation Training will provide you the knowhow you need to successfully implement your own Conversational AI projects with Cognigy.AI. It is designed for participants with no or limited prior bot-building knowledge and gives insights into Cognigy.AI's capabilites and design best practices for Conversational AI.

The Foundation Training covers the basic concepts of Cognigy.AI, building Flows and logic with various Nodes and using the Cognigy NLU.

If you want to learn more about advanced bot building, check out our Cognigy.AI Flow Developer Training that is also available in the Help Center.

To get the most out of the training, watch the videos once and then follow along with the trainer to get hands-on experience. 

Trainer: Derek Roberti
Playtime: 120 minutes
Last update: March 2021
Version: Cognigy.AI v4.1

Chapter 1: Introduction & Conceptual Overview

Get to know concepts and terms of Cognigy.AI


Links & Resources Transcript

Chapter 2: Talking to users with Say Nodes

Learn about the Flow Editor and create rich-media messages


Links & Resources Transcript
  • HTML Hyperlink Generator 
  • Sample Video Embed Code:
    <iframe width="227" height="119" src="https://www.youtube.com/embed/bMy3ZpNApcY" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
  • Image Dimensions for Gallery: 909x476 or anything with the 1.91 to 1 aspect ratio.
  • HTML Link with Style:
    View our <a href="https://www.cognigy.com/" target="_blank" style="color:yellow">Terms and Conditions</a>
  • Practice with free images https://www.pexels.com
  • Say Nodes in the documentation

Chapter 3: Asking questions with Question Nodes

Collect information from users with various question types and validate the input


Links & Resources Transcript

Chapter 4: Making decisions with If Nodes

Build logic into your Virtual Agent and guide users through processes


Correction

Towards the end of this training, we check to see if the First Name exists in the Cognigy profile. We use the “First Name” token and the “exists” operator to determine if the first name exists.

This behavior has changed as of Cognigy 4.1.2. In 4.1.2 or later, use the “First Name” token, the “not =” operator and "" as the value.

Picture1.png
Links & Resources Transcript
  • Not available for this chapter

Chapter 5: Understanding users with Intents and Slots

Leverage the power of AI and process human input via Natural Language Understanding


Links & Resources Transcript
  • Watch Cognigy Sessions Episode "Cognigy NLU" for a technical deep dive
  • See the attached document – Airlines.csv – for a lexicon of airline names you can upload to Cognigy. Open the document in Excel or a similar application to make sure you understand the structure of the csv file so that you can create your own files in the future.
  • Example sentences for the Flight Status intent:
    Is my flight on time
    Is my flight late
    Is my flight running late
    How late is my flight
    Is my flight leaving on time
    Is my flight departing on schedule
    Is my flight delayed
  • Example sentences for the Lost Baggage intent:
    is my baggage delayed
    is my baggage late
    i lost my baggage
    can't find my bags
    where are my bags
  • Example sentences for the Baggage Carousel intent:
    can't find my bags
    where are my bags
    baggage carousel number
    where can i find my bags
    which carousel are my bags at
  • Large intent dataset on GitHub
  • Cognigy NLU documentation

Chapter 6: Creating conversations with Flows, Intents and Slots

Combine the learnings of all previous chapters into one smart & powerful Virtual Agent.

You'll find an example CSV file at the bottom of this article if you want to follow along.


Links & Resources Transcript
  • United Airlines Carry-on Baggage Rules
  • Example sentences for the Baggage Rules - Carry On Intent:
    Can I take my bag on board
    What are the carry on rules
    What are the limits for carry-ons
    Carry-on limitations
    Size limits for carry on bags
  • Example sentences for the Baggage Rules - Checked Bag intent:
    Can I check a bag
    What does it cost to check a bag
    Bag check fees
    Cost for checking a bag
    Cost extra to check a bag?
  • Baggage (see also the attached file baggage_type.csv):
    Hand bag
    Hobo bag
    Tote bag
    Duffle bag
    Messenger bag
    Backpack
    Satchel
    Doctors bag
    Laptop Bag
    Bucket bag
    Bowler bag
    Wristlet
    Pouch
    Clutch
    Beach Bag
    Shoulder bag
    Miniaudiere
    Shopping bag
    Grocery bag
    Drawstring bag
    Make up bags
    Foldover Bags
    Phone bag
    Camera case bags
    Baguette bags
    Barrel Bag
    Basket Bag
    Fanny Pack
    Kelly Bag
    Lunch Bags
    Golf Bag
    Ski Bag
  • Baggage images: Measuring a bag, handbag
  • Carry-On Bag Description:
    Carry-On Bag
    Personal Item

    Your carry-on bag should fit in the overhead bin. The maximum dimensions for a carry-on bag are 9 inches x 14 inches x 22 inches (22 centimeters x 35 centimeters x 56 centimeters). This includes handles and wheels.

    Your personal item should fit underneath the seat in front of you. The maximum dimensions for your personal item are 9 inches x 10 inches x 17 inches (22 centimeters x 25 centimeters x 43 centimeters).
  • HTML Hyperlink Generator 
  • Link to United Airlines Baggage Calculator:
    <a href="https://www.united.com/en/us/baggage-calculator/any-flights" target="_blank">Baggage Calculator</a>
  • Luggage image: Conveyor belt </li

Ready for some advanced bot building? Continue with our Cognigy.AI Flow Developer Training that is also available in the Help Center.

Example files


Comments

4 comments

  • What are the basic dependencies for this exercise. I have build the Flow and followed the video exactly. The keeps asking for my first name as if the info is not being stored. Wondering if I need certain Lexicons or other properties configured to be able to execute this Flow. 

    0
  • Thanks for your comment! We identified an issue on the trial environment that currently affects the specific Flow configuration shown in the training. We'll notify you as soon as the issue is fixed.

    1
  • Question, do we have access to the Excel file used in this example? Hard to follow along without the data files. 

    0
  • Hi Tracy, we added the "Baggage Types" CSV file as an attachment to the article. Thanks for your input!

    0

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