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Globant Enterprise AI (GEAI) - Flows_ENG
550 students

Globant Enterprise AI (GEAI) - Flows_ENG

Globant Enterprise AI (GEAI) - Flows
Last updated 5/2025
English
English [Auto],

What you'll learn

  • Flows is the proposal from Globant Enterprise AI to create conversational solutions tailored to the specific needs of each company
  • User interaction can be significantly improved
  • Analyst Assistants
  • API Assitants

Course content

1 section13 lectures1h 41m total length
  • Introduction1:14

    Explore how the Flows platform enables tailored conversational solutions with generative and deterministic AI. Leverage data analyst assistants, API assistants, and Rag assistants to deliver accurate, contextual responses.

  • How to create a Flow13:27

    Create and configure an end-to-end flow in the flow builder, integrating rag assistants for Genexus and Globant AI documents, with automatic english-to-french translation and dynamic variables.

  • Flow with conditional component10:28

    Create a flow named tourist agent that uses a context-aware orchestrator to route user queries between tourist attractions information and weather in any city, using conditional components and go-to nodes.

  • Interactions to create a Flow: Generative and Logical8:25

    Design flows using generative and logical components, configuring assistant and Rag assistant nodes, variables, and conditional branches, with go to navigation and dynamic scripting.

  • Interactions to create a Flow: Integrations4:05

    Explore integrations to create a flow by configuring api, email, and spreadsheet options. Define url, method, headers, recipients, spreadsheet details, and service account credentials to manage responses and data flow.

  • Interactions to create a Flow: Responses16:33

    Master building end-user flows with response components such as message, image, link, card, video, quick reply, date picker, dropdown, and carousel, enabling dynamic content, variables, and event-driven navigation.

  • User Guide for GEAI Flow Builder7:23

    Navigate the GEAI flow builder to manage flows, switch languages, monitor with real-time logs, test the flow via the demo page and interactive chat.

  • Management of variables in Flows4:54

    Learn to manage variables in flows by creating, naming, and configuring them in the flow builder’s variables option, using constant and protected options, types, and default values.

  • Conversation history in Flows3:24

    Explore the conversation history in the flow builder's logs diagnostics to search, filter by time, export to CSV, and view detailed user conversations with timestamps and full message logs.

  • Configuration of a Flow2:54

    Configure the flow builder by managing authentication keys, integrations with Slack and WhatsApp, and flow versions, with JSON import/export and restore options in the danger zone.

  • Flow with Internet search7:08

    build a flow called internet search flow that uses two chat assistants: one relies on internet search results, the other rephrases questions from history, linked via a search API.

  • How to expose a Flow on a web page5:32

    Expose a flow on a web page by generating an application key and embedding the JavaScript code to load the web SDK, set language, and render a customizable chat.

  • Case study15:48

    Design a mall customer assistant flow by integrating an orchestrator with a movie ticket sales assistant, mall general information assistant, and a fallback assistant to resolve queries and bookings.

Requirements

  • We suggest completing the "Assistants" module within the Globant Enterprise AI course beforehand.

Description

Presentation

Flows is the proposal from Globant Enterprise AI to create conversational solutions tailored to the specific needs of each company, leveraging the capabilities of generative and deterministic artificial intelligence.

User interaction can be significantly improved, as it is not only possible to develop chatbots that respond accurately and appropriately, but it also facilitates the integration of specialized assistants, such as Data Analyst Assistants, API Assistants, Chat with data Assistants, and RAG Assistants.


Objective

Through different examples, we will teach you the necessary concepts to create and test flows using various interaction components. As a case study, we propose the creation of an agent that helps end users with inquiries related to the management of a Shopping Mall (inquiries about stores, services, movie listings, and ticket reservations).


Prerequisites

Although it is not a mandatory requirement, we suggest completing the "Assistants" module within the Globant Enterprise AI course beforehand.


Suggested Methodology

Watch each video and try to replicate the examples developed there. For this, you will need an authorized user account to access Globant Enterprise AI.

To request it, you can go here.


Approximate duration: 6 hours (watching the course videos and actually completing the course) Watching the videos alone takes 1 hour 40 minutes

Who this course is for:

  • Desarrolladores