AI-3019: Build AI Apps with Azure Database for PostgreSQL Course Outline
Special Note to New Hampshire ResidentsThis course has not yet been approved by the New Hampshire Department of Education. Please contact us for an update on when the class will be available in New Hampshire.
Overview
Dive into the exciting world of generative AI with our one-day course on building AI apps using Azure Database for PostgreSQL. You'll get hands-on experience with the Azure AI extension, learning how to create applications that leverage semantic search, summarization, and sentiment analysis.
This course is perfect for those looking to stay ahead in the rapidly evolving field of AI. You'll learn practical skills for extracting insights and translating text using Azure AI services, all while working within the familiar environment of PostgreSQL. By the end of the day, you'll be equipped to integrate AI features into your database applications with confidence.
Who Should Attend
This course is tailored for database developers, administrators, and IT professionals who want to expand their skillset into AI integration. If you're curious about how AI can enhance your database applications and streamline your workflows, this course is for you.
Prerequisites
Experience working with PostgreSQL databases and writing SQL queries. A general understanding of AI and machine learning concepts.
Course Outline
Get started with generative AI in Azure Database for PostgreSQL
Concepts of generative AI and large language models
Capabilities of azure_ai extension for PostgreSQL
Install and explore azure_ai extension in Azure Database for PostgreSQL Flexible Server
Enable semantic search in Azure Database for PostgreSQL
Concepts of semantic search and embedding vectors
Difference between lexical and semantic search
Capabilities of azure_ai extension for PostgreSQL
Install and explore vector and azure_ai extensions
Summarize data with Azure AI Services and Azure database for PostgreSQL
Summarization techniques using Azure AI Services and azure_ai extension
Extractive, abstractive, and query-focused summarization
Apply Generative AI summarization techniques to PostgreSQL data
Perform sentiment analysis and opinion mining
Fundamentals of sentiment analysis for user insights
Opinion mining techniques for specific attributes
Apply sentiment analysis to user reviews using azure_ai extension
Extract insights using Azure AI Language
Key phrase extraction, entity recognition, and PII recognition
Azure_ai extension capabilities for Azure AI Language access
Extract key phrases, recognize entities, and redact PII
Translate Text with Azure AI Translator
Translate documents using Azure AI Translator
Azure AI extension for PostgreSQL and Azure AI Translator interaction
Automatic document translation during record insertion
Use Azure Machine Learning for inferencing
Train and deploy Azure Machine Learning models
Invoke deployed models from PostgreSQL Flexible Server
Generate predictions for PostgreSQL Flexible Server table rows
View outline in Word
AAI3B9