The Cognigy.AI Flow Developer Training explains advanced concepts of Cognigy.AI and enables you to build complex, powerful Virtual Agents.
If you have no prior bot-building experience, please watch the Cognigy.AI Foundation Training for a general introduction.
Trainer: Derek Roberti
Playtime: 160 minutes
Last update: 2021-02-01
Version: Cognigy.AI v4.1
Chapter 1: Understanding the Input and the Context
See what's going on behind the curtains and use Input & Context to build complex conversational logic.
You'll find an example CSV file at the bottom of this article if you want to follow along.
Chapter 2: Simplyfying Flows with Go To
Break conversations down into seperate flows to handle complex interactions
Chapter 3: Using HTTP Requests to Access External Data
Retrieve data and execute commands using HTTP Request Nodes
Chapter 4: Using Slot Fillers to make conversations flow naturally
How Slot Fillers enable natural conversations by avoiding redundant bot questions
Chapter 5: Speak your customers' language with Locales
Use Locales to build multi-lingual bots at scale
Chapter 6: Manage Agents with Snapshots
Capture, restore, export & import Virtual Agents with Snapshots
Chapter 7: Testing Flows with Playbooks
See how Playbooks are used to continuously test Virtual Agents by simulating user input
Chapter 8: Personalizing Conversations with Profiles
Leverage User Profiles to store contact-specific data while staying compliant with data protection regulations
Chapter 9: Publishing Flows with Endpoints
Learn how to publish Virtual Agents to a variety of channels using Endpoints
Chapter 10: Coding with CognigyScript
Customize Cognigy.AI and create advanced conversational experiences with CognigyScript