“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 a natural language processing solution with Azure AI Language
Warning This credential will retire on June 30, 2026. You will no longer be able to earn this credential after this date. To earn this Microsoft Applied Skills credential, learners demonstrate the ability to create a natural language processing (NLP) solution by using Azure AI Language. Candidates for this credential should have a solid understanding of creating and using various Azure NLP models through both Language Studio and in code, including custom models. They should also have experience programming in either Python or C#, be familiar with the Azure portal, and be comfortable provisioning Azure AI resources.
Duration
Applied skill assessment
Level
Intermediate
Format
Virtual, On-site, or Hybrid
Language
English
Microsoft
Artificial IntelligenceBuild a natural language processing solution with Azure AI Language
Language Service
On this page
Ideal for
Audience Profile
Built for these roles
Built for Ai Engineer, Developer, Solution Architect learners validating applied skill in Language Service.
Overview
Executive overview
Warning This credential will retire on June 30, 2026.
Program Outcomes
Capabilities your teams will gain
Develop natural language solutions in Azure
Curriculum
Curriculum roadmap
Develop natural language solutions in Azure
1Module 1
Develop natural language solutions in Azure
+
Module 1
Develop natural language solutions in Azure
Develop natural language solutions in Azure
- Analyze text with Azure Language in Foundry Tools
- Develop a text analysis agent with the Azure Language MCP server
- Develop a speech-capable generative AI application
- Create speech-enabled apps with Azure Speech in Microsoft Foundry Tools
- Develop a speech agent with the Azure Speech MCP server
- Develop an Azure Speech Voice Live Agent in Microsoft Foundry
- Translate text and speech with Microsoft Foundry Tools
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 a natural language processing solution with Azure AI Language 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
Retail & E-commerce
Representative Retail Analytics Team
Instead of treating reporting as a tooling issue alone, the work focused on consistency, governance, and shared delivery practices across analysts and engineering teams.
- Higher consistency in report design practices
- Improved collaboration between analysts and engineering teams
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
