Program Outline
Microsoft Applied Skills: Build AI-powered solutions by using Microsoft Azure Database for PostgreSQL
To earn this Microsoft Applied Skills credential, demonstrate the ability to develop AI-powered solutions with Azure Database for PostgreSQL. As a candidate for this credential, you should have experience writing SQL queries and Python. You should also be familiar with general AI concepts and RAG frameworks.
Certification
Microsoft Applied Skills credential
Delivery
Virtual, On-site, or Hybrid
Duration
Applied skill assessment
Product
Azure Database Postgresql
Role
Developer
Microsoft
Artificial Intelligence, DatabasesBuild AI-powered solutions by using Microsoft Azure Database for PostgreSQL
Azure Database Postgresql
Best Fit
Audience Profile
Who This Program Is For
Built for Developer learners validating applied skill in Azure Database Postgresql.
Overview
Program Summary
To earn this Microsoft Applied Skills credential, demonstrate the ability to develop AI-powered solutions with Azure Database for PostgreSQL.
Course Outline
Complete Module Sequence
Review the full module sequence for this program, including the primary topic coverage in each module where available.
1Module 1
Build AI Apps with Azure Database for PostgreSQL
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Module 1
Build AI Apps with Azure Database for PostgreSQL
Build AI Apps with Azure Database for PostgreSQL. (AI-3019)
- Get started with generative AI in Azure Database for PostgreSQL
- Enable semantic search in Azure Database for PostgreSQL
- Integrate AI Services to enrich your applications with intelligent features in Azure Database for PostgreSQL
- Build RAG applications with Azure Database for PostgreSQL
- Implement generative AI agents with Azure Database for PostgreSQL
- Develop PostgreSQL solutions in Visual Studio Code with the PostgreSQL extension and GitHub Copilot
Coverage Areas
Topic Coverage
Coverage Item 1
Build AI Apps with Azure Database for PostgreSQL
Customization
Adapt This Program for Your Team
We can adapt this program around your team structure, platform priorities, delivery goals, and the scenarios your people need to work through in practice.
- •Use your tenant, data, and workflow scenario where appropriate
- •Add guided practice labs before assessment readiness
- •Extend into implementation coaching for production adoption
