Can the program be customized?

Yes. Build AI applications with Azure Cosmos DB 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 Microsoft Learn curriculum and learning path referenced for this track.

How are prerequisites assessed?

We review prerequisite readiness during scoping and can recommend preparatory modules or a skills checkpoint before cohort start.

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.

Microsoft Official Curriculum

Build AI applications with Azure Cosmos DB

This course teaches developers how to create application using the NoSQL API and SDK for Azure Cosmos DB. Students will learn how to design, build, and optimize high-performance, scalable AI applications with Azure Cosmos DB.

Role-Based Certification PrepTrack: DP-420T00Official Source: Microsoft LearnMicrosoftIntermediate

Plan Private Delivery Consult a Solutions Architect

Download Program Brief (PDF)

Program Snapshot

Engagement scoped to cohort

Duration4 days

FormatVirtual, On-site, or Hybrid

LevelIntermediate

Course CodeDP-420T00

Certification TrackDP-420T00

SubjectCloud

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

Scoping call typically scheduled within one business day

VNode ITeS delivers Design and implement cloud-native applications with Microsoft Azure Cosmos DB as an MCT-led Microsoft program for Developer. Typical duration is 4 days (Virtual, On-site, or Hybrid). Labs follow production-shaped scenarios rather than slide-only walkthroughs. Certification prep maps to DP-420 without turning the week into a dump of Learn modules. Private cohorts can shift emphasis by role mix, workspace or repo constraints, and rollout timing.

Audience Profile

Built for these roles

Software engineers tasked with authoring cloud-native solutions that leverage Azure Cosmos DB for NoSQL and its various SDKs. They are familiar with C#, Python, Java, or JavaScript. They also have experience writing code that interacts with a SQL or NoSQL database platform.

Developer
Cloud
Certification Readiness
Tailored Team Delivery

Overview

Executive overview

Prerequisites

Relevant foundational experience in the target technology area.
Comfort with hands-on labs in a cloud or GPU-accelerated environment.

Program Outcomes

Capabilities your teams will gain

Strengthen capability in developer scenarios
Strengthen capability in azure scenarios

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

Developer
Azure

Module 1

Design and develop Azure Cosmos DB database solutions

Build applications on Azure Cosmos DB for NoSQL: configure throughput and consistency, connect with the SDK, query data, design a partitioning strategy, process the change feed, and use AI-assisted development tools.

Explore Azure Cosmos DB for NoSQL
Configure resources, throughput, and consistency
Connect to Azure Cosmos DB with the SDK
Implement Azure Cosmos DB operations with the SDK
Query data in Azure Cosmos DB for NoSQL
Design a data modeling and partitioning strategy
Process the Azure Cosmos DB for NoSQL change feed
Implement AI-assisted development tools for Azure Cosmos DB

Module 2

Secure, optimize, and deploy Azure Cosmos DB solutions

Run Azure Cosmos DB for NoSQL in production: configure authentication, authorization, and network security, protect and recover data, design for multi-region availability, tune indexing and queries, monitor and troubleshoot, and manage many accounts with fleets.

Secure an Azure Cosmos DB solution
Configure backup and restore in Azure Cosmos DB
Design multi-region availability and failover in Azure Cosmos DB
Design and optimize an indexing strategy in Azure Cosmos DB
Analyze and tune query and operation performance in Azure Cosmos DB
Monitor and troubleshoot Azure Cosmos DB
Manage Azure Cosmos DB at scale with fleets

Module 3

Implement AI and analytics capabilities in Azure Cosmos DB

Build AI and analytics capabilities on Azure Cosmos DB for NoSQL: full-text, vector, and hybrid search, retrieval tuning, retrieval-augmented generation, durable agent memory, and no-ETL operational analytics with Microsoft Fabric mirroring.

Implement full-text and vector search in Azure Cosmos DB for NoSQL
Implement hybrid search and optimize AI retrieval in Azure Cosmos DB for NoSQL
Build RAG applications with Azure Cosmos DB for NoSQL
Design and implement agent memory stores in Azure Cosmos DB
Implement operational analytics with Microsoft Fabric

Delivery Models

Delivery models

Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend

Engagement Fit

Engagement fit

Certification readiness
Implementation-focused labs
Private cohort delivery
Intermediate practitioner depth

Enterprise Customization

Enterprise customization

Tailor this program to your organization's priorities: Improves application scalability and cloud-native data design capability for distributed systems teams.

Align labs to your production environment and platform priorities
Add focused exam-readiness reviews and instructor-led practice sessions
Extend into project-specific architecture or delivery coaching

Credentials

Certification & official source

•DP-420T00

Aligned to the official Microsoft Learn course and learning path for this program.

View Official Microsoft Learn Page

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 Microsoft Learn Page

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.”

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

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