Devtoberfest Data & AI Sessions Overview

The concept to be defined is not specified, and the provided source snippets contain only tutorial titles for Devtoberfest 2025 weekly Data & AI sessions, offering no substantive content from which a grounded definition can be written.

Tutorials that teach this

Prerequisites

Concept SAP Business Data Cloud Fundamentals The provided sources do not contain enough information to write a grounded definition for an undefined concept. Please supply a valid concept name and relevant source snippets so an accurate definition can be produced.
Concept Devtoberfest Gamification and Challenges The concept provided is **undefined**, and the available source snippets contain only tutorial titles related to Devtoberfest 2025 and 2026 event sessions — they do not supply any substantive technical content from which a grounded definition could be written.
Concept Model Context Protocol (MCP) Server Integration **Model Context Protocol (MCP)** is an [open standard that defines how AI models and agents can discover, understand, and interact](https://architecture.learning.sap.com/docs/ref-arch/RA0029/10-third-party-mcp-access/readme) with tools, data sources, and services. Developers use it to expose capabilities — such as SAP BTP account administration or the hana-ml Python library — as MCP endpoints that AI agents can consume in a standardized way. For example, the [HANA AI Toolkit local MCP server](https://architecture.learning.sap.com/docs/ref-arch/RA0033/readme) turns the hana-ml library into an MCP-accessible endpoint, enabling third-party agents and AI models to invoke its functionality without custom integrations.
Concept AI Agents for Business Process Automation The concept name provided is **undefined**, and the supplied sources contain only tutorial session listings for Devtoberfest 2025 Data & AI weeks, with no substantive technical content to ground a definition. A meaningful, source-grounded definition cannot be written without a valid concept name and supporting technical source material.
Concept AI agent design and deployment
Concept Neural Network Fundamentals (Teaching with Snap!) The provided sources do not contain enough information to write a grounded definition for an undefined concept. No specific SAP developer concept, its purpose, or supporting technical details are described in the available snippet.
Concept LLM Prompt Engineering and Management The concept name is missing or undefined, and the provided source snippet is too truncated to extract sufficient grounded facts for a complete, accurate definition. A valid concept name and fuller source content are required to produce a reliable reference definition.
Concept SAP Business Data Cloud Integration The concept name was not provided and the supplied sources do not contain enough shared context to identify a single, well-defined SAP developer concept. A meaningful and accurate definition cannot be written without a valid concept name grounded in the provided source snippets.
Concept Devtoberfest Developer Event Participation The concept provided is undefined and cannot be documented. No identifiable SAP developer concept was supplied, and the available source snippets — which reference Devtoberfest event tutorials across 2025 and 2026 — do not contain sufficient technical detail to ground a meaningful definition. Please provide a valid concept name to generate an accurate reference definition.
Concept Custom AI Agent Design and Deployment
Concept Prompt Registry Management in SAP Generative AI Hub The concept name provided is "undefined," and the supplied sources do not contain enough grounded information to produce a reliable, accurate definition for a specific SAP developer concept. Please provide a valid concept name and relevant source snippets so a precise definition can be written.
Concept SAP AI Core Orchestration Service The concept name was not provided (marked as "undefined"), and the supplied source snippets contain only tutorial titles without any descriptive body text or factual claims that could be used to construct an accurate, grounded definition. There is insufficient source material to write a valid 2–4 sentence prose definition for an unknown concept.
Concept Retrieval Augmented Generation (RAG) The concept name was not provided (marked as "undefined"), and the available source snippets do not contain enough detail to identify or define a specific SAP developer concept with confidence. Based on the sources, the closest identifiable concept is **Retrieval Augmented Generation (RAG)**, which is a technique used to gain more control over the prompting results of a Large Language Model (LLM) by leveraging your own data. Developers use it within [Generative AI on SAP BTP](https://architecture.learning.sap.com/docs/ref-arch/RA0005/readme) to ground LLM responses in enterprise-specific content, for example through [HANA vector search or SAP AI Core orchestration](https://architecture.learning.sap.com/docs/ref-arch/RA0005/3-retrieval-augmented-generation/readme).
Concept Generative AI integration in SAP applications
Concept SAP Databricks Integration in SAP Business Data Cloud The concept name was not provided (marked as "undefined"), and the available source snippets do not contain enough detail to construct a fully grounded, accurate definition without risking unsupported claims. A meaningful definition cannot be responsibly written without a clearly identified concept to define.
Concept AI Agents for Solving Business Challenges
Concept Prompt Engineering The concept name was not provided, so a precise definition cannot be written. Please supply the concept name so it can be accurately defined based on the available sources covering topics such as prompting LLMs in the generative AI hub in SAP AI Core and using multimodal inputs with GPT-4o for image recognition on SAP AI Core.
Concept SAP Generative AI Hub The concept name was not provided, so a best-effort definition is derived from the available sources covering SAP's AI development landscape. [SAP's AI Golden Path](https://architecture.learning.sap.com/docs/golden-path/ai-golden-path/readme) is a curated starting point for developing AI applications across the SAP ecosystem, offering recommendations and guidance for building and delivering AI-powered solutions. Developers use it to navigate capabilities such as [Generative AI application integration, embeddings and semantic search](https://architecture.learning.sap.com/docs/ref-arch/RA0005/2-semantic-search/readme), predictive and tabular AI, and document processing. It encompasses patterns for leveraging Foundation Models and Large Language Models (LLMs) through prompting, as well as frameworks like Intelligent Scenario Lifecycle Management (ISLM) for standardized AI lifecycle management.
Concept Joule generative AI coding assistant The provided sources do not contain enough information to write a grounded definition for an undefined concept. The single source snippet describes enabling Joule on SAP Business Technology Platform but does not supply sufficient detail to define a specific developer concept. Please provide a valid concept name and supporting source snippets so an accurate definition can be written.
Concept SAP HANA Calculation Views A **Calculation View** is a type of SAP HANA data model that allows developers to define complex analytical queries by combining and transforming data from multiple sources, such as tables or other views. Developers use Calculation Views to expose business logic and aggregated data for reporting and analytics, supporting types such as [Dimension and Cube](https://developers.sap.com/tutorials/hana-cloud-calculation-view-cube.html). They can be created graphically in the SAP HANA Modeler perspective and consumed by applications or services, including CAP-based projects and Hibernate-based apps running on SAP HANA.
Concept MCP Unified Connectivity for AI Applications
Concept Generative AI in application development The provided sources do not contain enough information to write a grounded definition for an undefined concept. No specific SAP developer concept, its purpose, or supporting technical details can be identified from the available snippet.
Concept SAP HANA Cloud fundamentals The concept name was not provided, and the available source snippets do not contain enough detail to define a specific SAP developer concept with accuracy. The sources reference topics such as [setting up database artifacts](https://help.sap.com/docs/btp/sap-business-technology-platform/3cd69547217949e098fb4f2a88aa6d33?locale=en-US&state=PRODUCTION&version=Cloud) in SAP HANA, connecting via JDBC, spatial data visualization, and migrating to SAP HANA Cloud, but no specific concept name or substantive explanatory content was supplied to ground a precise definition.
Concept SAP Build platform overview The provided sources do not contain sufficient information to define a specific concept, as the concept supplied is "undefined." The sources cover a range of SAP BTP topics — including tools, Classic ABAP development, the Managed Application Router, and Joule Studio — but without a named concept to define, no accurate, source-grounded definition can be produced.
Concept Mobile app development with SAP Build The concept to be defined is not specified, and the provided sources do not contain sufficient grounded detail to produce a reliable, accurate definition for any clearly identified SAP developer concept. A valid concept name is required to write a documentation entry.
Concept ISLM Intelligent Scenario Management The concept name was not provided (marked as "undefined"), and the single source snippet does not contain enough extractable detail — it only repeats the title "Intelligent Scenario Lifecycle Management" without describing what the concept is or how a developer uses it. A accurate, source-grounded definition cannot be written with the available information.