AI Vector Search on Azure
AI Vector Search on Azure is a certification skill for the AI-200 exam that covers implementing vector-based search solutions using Azure AI services. Key exam topics include vector embeddings, implementing vector search in PostgreSQL, Cosmos DB or Redis, vector capabilities, semantic ranking, vector similarity search, configuring vector indexes, and integrating with Azure Foundry for embedding generation.
Study Plan
Live Team Training
Get trained by an expert instructor in a live team setting. Ask questions, work through real-world scenarios, and prepare to pass the exam in just a few days. Available on-site or online.
More Info
Or study for the certification with these online resources:
The AI-200 Certification
AI Vector Search on Azure is an official required skill for the AI-200 certification exam. Mastering this skill is important, because it is one of the measured skills you will be tested on during the exam.
The AI-200: Azure AI Cloud Developer certification is an associate-level credential that validates your ability to design, build, and implement AI solutions on Azure with a focus on back-end services, scalable architectures, and the full development lifecycle, requiring annual renewal to maintain active status.
