Can the program be customized?

Yes. Build a natural language processing solution with Azure AI Language (Applied Skill) supports customization around lab depth, demo context, certification focus, and team-specific scenarios.

Yes. This program includes instructor-led labs and practical exercises aligned to real implementation patterns.

How does this align with official certification or curriculum?

This program is aligned to the official Official Source curriculum and learning path referenced for this track.

How are prerequisites assessed?

Prerequisites are reviewed during enrollment scoping. We can recommend preparatory modules if your team needs a readiness bridge.

What happens after the program?

Private cohorts receive a handover summary, recommended next learning paths, and optional follow-on advisory for rollout or certification readiness.

Enterprise Program Brief

Build a natural language processing solution with Azure AI Language (Applied Skill)

Warning This credential will retire on June 30, 2026.

Applied Skills ValidationTrack: Microsoft Applied Skills credentialMicrosoftIntermediate

Plan Private Delivery Consult a Solutions Architect

Download Program Brief (PDF)

Program Snapshot

Engagement scoped to cohort

DurationApplied skill assessment

FormatVirtual, On-site, or Hybrid

LevelIntermediate

Certification TrackMicrosoft Applied Skills credential

SubjectArtificial Intelligence

MCT-led delivery
Private cohort / virtual ILT
Typical response: 1 business day

Scoping call typically scheduled within one business day

VNode ITeS delivers Build a natural language processing solution with Azure AI Language (Applied Skill) as an MCT-led Microsoft program for Ai Engineer, Developer, Solution Architect. 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 Engineer, Developer, Solution Architect learners validating applied skill in Language Service.

AI Engineer, Developer, Solution Architect
Artificial Intelligence
Hands-On Skill Validation
Tailored Team Delivery

Overview

Executive overview

Warning This credential will retire on June 30, 2026. Build a natural language processing solution with Azure AI Language (Applied Skill)

Program Outcomes

Capabilities your teams will gain

Develop natural language solutions in Azure

Enterprise Delivery

Official learning & delivery options

Review the vendor learning resource, then book a consultation or request a private cohort for your team.

View Official Learning Book a Consultation Request Private Cohort Open in learning platform Program brief (PDF)

Curriculum

Curriculum roadmap

Develop natural language solutions in Azure

Module 1

Develop natural language solutions in Azure

Develop natural language solutions in Azure...

Develop natural language solutions in Azure

Delivery Models

Delivery models

Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend

Engagement Fit

Engagement fit

Applied skills validation
Implementation-focused labs
Private cohort delivery
Intermediate practitioner depth

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 source referenced for this program.

View Official Source

Resources

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.

Program brief (PDF)View Official Source

Enterprise Proof

Trusted delivery outcomes

“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”

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

Read engagement

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

Read engagement

Delivery Capability

Enterprise-grade instruction

View delivery capability profile

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

Plan delivery