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Microsoft Course: Build AI Apps with Azure Database for PostgreSQL

AI-Powered PostgreSQL: Build Intelligent Apps with Azure Database
  • ​​Build generative AI applications
  • Enabling efficient similarity searchess​​
  • ​​Automate insights extraction​​ using ​​Azure AI Languag
  • ​​Deploy ML models​​ from Azure Machine Learning for real-time predictions
  • Translating text in-database using ​​Azure AI Translator​​
  • Build a base for specialized roles in AI development or cloud engineering
  • Prepare for more advanced Microsoft certifications in AI

What you will learn

"Build AI Apps with Azure Database for PostgreSQL" is a 2-hour 26-minute course designed for developers and data engineers to integrate generative AI and machine learning into applications using ​​Azure Database for PostgreSQL - Flexible Server​​. Focused on the ​​azure_ai extension​​, this learning path teaches how to leverage Azure AI services (e.g., semantic search, sentiment analysis, text translation) directly within PostgreSQL workflows. Hands-on modules cover embedding generation with pgvector, real-time model inferencing, and Retrieval-Augmented Generation (RAG) patterns. Learners will build skills to create AI-driven solutions like fraud detection systems, multilingual apps, and automated summarization tools.

​​Microsoft's Build AI Apps with Azure Database for PostgreSQL course Outline

Learn the Build AI Apps with Azure Database for PostgreSQL

Want to supercharge PostgreSQL with AI? ​​"Build AI Apps with Azure Database for PostgreSQL"​​ unlocks the full potential of generative AI in just 2.5 hours. Learn to embed Azure OpenAI models, automate translations, and deploy ML-driven insights—all within your PostgreSQL database. Start building and transform your apps with Azure's managed AI services today!

Start your journey today:

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Course Structure Includes:

  • ​​Module 1​​: Generative AI fundamentals with ​​azure_ai extension​​ (32 min).
  • ​​Module 2​​: Semantic search using ​​pgvector​​ and vector similarity (24 min).
  • ​​Module 3​​: Summarization techniques (extractive, abstractive) with Azure AI (21 min).
  • ​​Module 4​​: Sentiment analysis and opinion mining for user reviews (15 min).
  • ​​Module 5​​: Key phrase extraction, entity/PII recognition via Azure AI Language (22 min).
  • ​​Module 6​​: Real-time text translation workflows (18 min).
  • ​​Module 7​​: ML model deployment and inferencing (14 min).
 

Training Options

Self Paced Learning
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  • Curated by industry experts
  • Customized learning progress
  • 24/7 learner assistance and support
  • Follow the latest technology trends
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Description

Master Azure Database for PostgreSQL's AI capabilities: semantic search, sentiment analysis, and ML inferencing. Learn to integrate Azure AI services via the azure_ai extension.

Pre-requisites

Having experience working with PostgreSQL databases, writing SQL queries, and a general understanding of AI and ML concepts.

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