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Building Generative AI Applications for Data Insights on Azure

Course

You'll learn Azure OpenAI services, focusing on building applications that extract valuable insights from data using generative AI models. You'll set up and configure Azure AI tools, apply prompt engineering techniques, and integrate external data sources with retrieval-augmented generation (RAG) solutions. You'll gain practical experience in building AI-driven applications for data analysis.

You'll learn Azure OpenAI services, focusing on building applications that extract valuable insights from data using generative AI models. You'll set up and configure Azure AI tools, apply prompt engineering techniques, and integrate external data sources with retrieval-augmented generation (RAG) solutions. You'll gain practical experience in building AI-driven applications for data analysis.

Built in collaboration with

Microsoft

  • Beginner

  • 2 weeks

  • Last Updated November 18, 2024

Skills you'll learn:

Retrieval-Augmented GenerationAzure ai services

Prerequisites:

Azure basics

Beginner

2 weeks

Last Updated November 18, 2024

Skills you'll learn:

Retrieval-Augmented Generation • Azure ai services

Prerequisites:

Azure basics

Course Lessons

Lesson 1

Introduction to Azure OpenAI Service, AI Models, and Capabilities

Learn the Azure OpenAI Service, including setup, model selection, prompt engineering, code and image generation, and responsible AI practices to build secure, effective AI applications on Azure.

Lesson 2

Extracting Insights From Data with Generative AI

Learn how to use Generative AI to extract data insights, focusing on Retrieval Augmented Generation (RAG), vector search, text embeddings, and prompt engineering for effective data querying

Lesson 3 • Project

Project: Chat With Your Data

Set up Azure resources, deploy models, create prompts, and use Retrieval-Augmented Generation (RAG) to analyze and extract insights from financial data.

Taught By The Best

Photo of Vishnu (Lucky) Pamula

Vishnu (Lucky) Pamula

Sr. Cloud Solution Architect at Microsoft

Lucky is a data & AI evangelist with a track record of successfully helping organizations build analytics solutions. Besides his day job, he teaches as an adjunct professor, delivers lunch & learns, mentors students, and evangelizes Azure Quantum as an ambassador.

The Udacity Difference

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Demonstrate proficiency with practical projects

Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.

  • Gain proven experience

  • Retain knowledge longer

  • Apply new skills immediately

Top-tier services to ensure learner success

Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work.

  • Get help from subject matter experts

  • Learn industry best practices

  • Gain valuable insights and improve your skills

Enroll in Building Generative AI Applications for Data Insights on Azure. Choose the plan that works for you

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  1. 1Discount applies to the first 4 months of membership, after which plans are converted to month-to-month.

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