All current Data Integration Courses courses in 2024
26 Courses
Introduction to SAP Datasphere
Introduction to SAP Datasphere
This course provides an in-depth exploration of SAP’s next-generation tooling through a practical example. Begin with a straightforward analytical task and evolve to handle more complex requirements as they emerge. You'll learn how to harness the features and functions of the cloud software to efficiently complete.
Develop your own custom copilots with Azure AI Studio
Develop Your Own Custom Copilots with Azure AI Studio - Microsoft Learn
Module 1: Overview of Azure AI Studio
Microsoft Azure offers multiple services that enable developers to build AI-powered solutions. Azure AI Studio (preview) brings these services together in a single unified experience for AI development on the Azure cloud platf.
Assessing Data Readiness for Generative AI
Assessing Data Readiness for Generative AI
Generative AI solutions thrive on quality data, and the best data often comes from within your organization. This course, "Assessing Data Readiness for Generative AI," will guide you in evaluating your data's suitability for AI training.
Start by understanding the importance of dat.
Knowledge Graphs for RAG
Knowledge Graphs for RAG
Knowledge graphs are instrumental in structuring complex data relationships, enabling intelligent search functionality, and developing robust AI applications capable of reasoning over various data types. They can integrate data from both structured and unstructured sources, including databases and documents, provi.
Intermediate Power Query in Excel
Intermediate Power Query in Excel - Advanced Data Transformation Course
Intermediate Power Query in Excel
Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery. Discover advanced data integration te.
Build a Question-answering Bot using Generative AI (Simplified Chinese)
建置基於生成式 AI 的問答機器人 (簡體中文) - AWS Skill Builder
在此實驗室中，您將建置可回答 AWS 服務相關問題的 Chatbot。此實驗室的設計訴求是讓您實際體驗如何部署大型語言模型 (LLM)、將該模型與 Amazon Kendra 資料來源整合，以及建置可詢問 LLM 並使用檢索增強生成 (RAG) 來找出使用者問題解答的 Amazon Lex V2 Chatbot。此實驗室可協助您了解.
