“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Enterprise Program Brief
Build a natural language processing solution with Azure AI Language
Applied skill-aligned program for building NLP solutions with Azure AI Language services.
Duration
Applied skill assessment
Level
Intermediate
Format
Virtual, On-site, or Hybrid
Language
English
Microsoft
Natural Language ProcessingBuild a natural language processing solution with Azure AI Language
Azure AI Language
On this page
Ideal for
How VNode delivers this
Who this is for, and how we run it
VNode ITeS delivers Build a natural language processing solution with Azure AI Language as an MCT-led Microsoft program for AI Engineer. Typical duration is Applied skill assessment (Virtual, On-site, or Hybrid). Labs follow production-shaped scenarios rather than slide-only walkthroughs. Applied Skills delivery aims at a working artifact your team can take back, not a quiz score. Private cohorts can shift emphasis by role mix, workspace or repo constraints, and rollout timing.
Audience Profile
Built for these roles
Built for AI teams implementing language understanding and text-processing solutions on Azure.
Overview
Executive overview
Official Microsoft Applied Skill-aligned program focused on natural language processing.
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 delivery capability in natural language processing scenarios
Apply Microsoft technology skills in task-oriented, real-world workflows
Build stronger delivery confidence through scenario-based implementation practice
Prepare teams for hands-on Microsoft applied-skill validation
Curriculum
Curriculum roadmap
Azure AI Language
NLP
Text Analytics
Language AI
Azure AI
1Module 1
Azure AI Language
+
Module 1
Azure AI Language
Cover azure ai language skills through hands-on lab scenarios aligned to the Natural Language Processing applied skill in Azure AI Language.
- Azure AI Language
- NLP
2Module 2
NLP
+
Module 2
NLP
Cover nlp skills through hands-on lab scenarios aligned to the Natural Language Processing applied skill in Azure AI Language.
- Text Analytics
- Language AI
3Module 3
Text Analytics
+
Module 3
Text Analytics
Cover text analytics skills through hands-on lab scenarios aligned to the Natural Language Processing applied skill in Azure AI Language.
- Azure AI
4Module 4
Language AI
+
Module 4
Language AI
Cover language ai skills through hands-on lab scenarios aligned to the Natural Language Processing applied skill in Azure AI Language.
- Language AI
5Module 5
Azure AI
+
Module 5
Azure AI
Cover azure ai skills through hands-on lab scenarios aligned to the Natural Language Processing applied skill in Azure AI Language.
- Azure AI
Delivery Models
Delivery models
Engagement Fit
Engagement fit
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Builds enterprise NLP capability for teams delivering language-aware AI solutions in enterprise contexts.
- •Align the workshop to your real business or technical scenario
- •Add project-focused labs and implementation guidance
- •Extend into adoption, governance, or production-readiness reviews
Credentials
Certification & official source
- •Microsoft Applied Skills credential
Aligned to the official source referenced for this program.
View Official SourceResources
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
