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• requirement one with enough text to wrap to the next line because we need to check alignment
• requirement two with enough text to wrap to the next line because we need to check alignment
• requirement three

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Congratulations on taking part in the SAP Build Code Test Drive. You completed the SAP Build Code tutorials during the launch month. You’ve taken your first steps towards using Generative AI-based code development with Joule copilot.

Became proficient building chatbots with SAP Conversational AI, by learning: How to call external APIs within your chatbot, how to build a webhook, how to improve your chatbot with debugging and monitoring, how to manage versioning, and how to deploy your chatbot to various platforms.

Created a more sophisticated business-oriented chatbot for a shipping company that lets customers check the status of their package, and request a price quote for a package. Also learn how to deploy the chatbot on a web site, and learn how to build an FAQ chatbot, designed to simply answer user questions.

Built a cross-platform native offline mobile app from scratch with the SAP Mobile Services mobile development kit.

Enriched the information extracted from documents with existing master data, to match enrichment data entities with the extracted header fields from business documents that have content in headers and tables. To do so, used machine learning with Document Information Extraction, one of the SAP AI Business Services in SAP Business Technology Platform
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Created your own header and line item fields, and annotate sample documents to automate the extraction of information from custom documents (not supported out of the box) such as r�sum�s and power of attorney, using machine learning with Document Information Extraction of SAP AI Business Services.

Got a taste of building chatbots with SAP Conversational AI by learning about intents, entities and skills, and then building a simple chatbot to tell users a joke.

Found out how to use the SAP Business Technology Platform service Document Information Extraction with generative AI to automate the extraction of information from any type of document using large language models (LLMs).

Used Document Information Extraction (a service of SAP AI Business Services in SAP Business Technology Platform) to process business documents that have content in headers and tables.

Learn about proper community behavior by completing the Tour the SAP Community 2023 tutorial, then celebrate when one of your answers is accepted or you receive 3 up-votes on any combination of your answers.

Registered to attend SAP TechEd in 2022.

Registered to attend SAP TechEd in 2020

As part of Devtoberfest 2023 - completed Tutorial: Use Machine Learning to Enrich Business Data with Swagger UI

As part of Devtoberfest 2023 - completed Tutorial: Use Machine Learning to Enrich Employee Data with Swagger UI

As part of Devtoberfest 2023 - completed Tutorial: Create a Customer Detail Page in an MDK App

As part of Devtoberfest 2023 - completed Tutorial: Setup for Mobile Development Kit

As part of Devtoberfest 2023 - completed Tutorial: Get OAuth Access Token for Document Information Extraction via Web Browser

As part of Devtoberfest 2023 - completed Tutorial: Create a Customer List Page in an MDK App

As part of Devtoberfest 2023 - completed Tutorial: Start Your MDK Application in the Editor

As part of Devtoberfest 2023 - completed Tutorial: Use Trial to Set Up Account for Document Information Extraction and Get Service Key

As part of Devtoberfest 2023 - completed Tutorial: Use Machine Learning to Extract Information from Documents with Swagger UI

As part of Devtoberfest 2022 Scavenger Hunt - completed tutorial: Set Up Initial Configuration for an MDK App

As part of Devtoberfest 2022 Scavenger Hunt - completed tutorial: Start Your MDK Application in the Editor