Discover how to integrate Azure AI and Azure Machine Learning Services with Azure Database for PostgreSQL - Flexible Server to create cutting-edge AI-powered applications. This course covers practical techniques for leveraging Azure AI extensions to build apps with generative AI capabilities, semantic search, summarization, sentiment analysis, translation, and more. Build AI Apps with Azure Database for PostgreSQL (AI-3019) Benefits In this course, you will: Build innovative, AI-driven applications. Leverage Azure's advanced AI and ML tools. Gain practical experience through hands-on exercises. Achieve intermediate-level proficiency in AI with PostgreSQL. Prerequisites Experience with PostgreSQL databases. Proficiency in writing SQL queries. Basic understanding of AI and Machine Learning concepts. Build AI Apps with Azure Database for PostgreSQL Training Outline Learning Objectives Get Started with Generative AI in Azure Database for PostgreSQL Understand generative AI language models. Explore schemas and AI extensions for integration. Hands-on: Use Azure AI extensions for practical generative AI applications. Enable Semantic Search in Azure Database for PostgreSQL Learn about vector embeddings and vector similarity. Build semantic search functionalities using AI and PostgreSQL. Hands-on: Create search and recommendation systems. Summarize Data with Azure AI Services Explore extractive and abstractive summarization. Learn to condense complex content into summaries. Hands-on: Apply summarization techniques with Azure AI. Perform Sentiment Analysis and Opinion Mining Use Azure AI to analyze sentiment and mine opinions. Extract actionable insights from textual data. Hands-on: Perform sentiment analysis with Azure tools. Extract Insights Using Azure AI Language Dive into key phrase extraction and entity recognition. Recognize and redact PII using Azure Database for PostgreSQL. Hands-on: Extract insights with Azure AI Language services. Translate Text with Azure AI Translator Translate PostgreSQL data into multiple languages. Hands-on: Use Azure AI Translator for multilingual solutions. Use Azure Machine Learning for Inferencing Train and deploy ML models with Azure ML. Learn inferencing techniques directly from PostgreSQL. Hands-on: Perform automated machine learning and inference.
Related
Related
Related