“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Microsoft Official Curriculum
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.
Duration
Applied skill assessment
Level
Intermediate
Format
Virtual, On-site, or Hybrid
Language
English
Microsoft
Artificial IntelligenceBuild AI-powered solutions by using Microsoft Azure Database for PostgreSQL
Azure
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Ideal for
Audience Profile
Built for these roles
Built for Developer learners validating applied skill in Azure Database Postgresql.
Overview
Executive overview
To earn this Microsoft Applied Skills credential, demonstrate the ability to develop AI-powered solutions with Azure Database for PostgreSQL.
Readiness
Prerequisites
- Hands-on familiarity with the relevant Microsoft workload area.
- Comfort with the underlying technical or business scenario the applied skill covers.
Program Outcomes
Capabilities your teams will gain
Strengthen capability in artificial intelligence scenarios
Strengthen capability in databases scenarios
Strengthen capability in developer scenarios
Strengthen capability in azure scenarios
Curriculum
Curriculum roadmap
Artificial Intelligence
Databases
Developer
Azure
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
Delivery Models
Delivery models
Engagement Fit
Engagement fit
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Builds hands-on readiness for Build AI-powered solutions by using Microsoft Azure Database for PostgreSQL using the current official Microsoft Applied Skills study guide.
- •Use your tenant, data, and workflow scenario where appropriate
- •Add guided practice labs before assessment readiness
- •Extend into implementation coaching for production adoption
Credentials
Certification & official source
- •Microsoft Applied Skills credential
Aligned to the official Microsoft Learn course and learning path for this program.
View Official Microsoft Learn PageResources
Program resources
Yes. Most enterprise clients prefer private delivery scoped to role mix, timezone, and rollout timeline. We align lab environments and scenarios to your tenant context where applicable.
Enterprise Proof
Trusted delivery outcomes
Banking & Finance
Representative Enterprise Banking Team
The focus was not just on tooling knowledge, but on helping teams work from a shared operating model as they adopted a more modern data platform.
- Clearer platform operating model across teams
- Improved confidence in modern data stack adoption
Healthcare
Representative Healthcare Product Team
The engagement helped product and engineering stakeholders move from interest in AI to clearer implementation choices, security expectations, and prototyping discipline.
- Stronger alignment between product and engineering teams
- Improved clarity on prototype-to-production requirements
Delivery Capability
Enterprise-grade instruction
MCT-led delivery
Programs led by Microsoft Certified Trainer practitioners
Enterprise program oversight
Founder-led specialist delivery with structured rollout planning
Global delivery
APAC · EMEA · Americas · Virtual & Onsite
Implementation-focused
Hands-on labs aligned to production scenarios
