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:
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
- Lifelong access to high-quality content
- Curated by industry experts
- Customized learning progress
- 24/7 learner assistance and support
- Follow the latest technology trends
Exam Dump
- 100% Real Exam Practice Tests
- 100% Verified Exam Questions & Answers
- 100% Guarantee Passing Rate
- Average 7 Days to Practice & Pass
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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