“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Microsoft Official Curriculum
Introduction to Microsoft Azure Data
In this course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services. Students will learn about core data concepts such as relational, non-relational, big data, and analytics, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. Students will learn about large-scale data warehousing, real-time analytics, and data visualization.
Duration
1 day
Level
Beginner
Format
Virtual, On-site, or Hybrid
Language
English
Microsoft
DataIntroduction to Microsoft Azure Data
Azure
On this page
Ideal for
How VNode delivers this
Who this is for, and how we run it
VNode ITeS delivers Introduction to Microsoft Azure Data as an MCT-led Microsoft program for Data Engineer. Typical duration is 3 days (Virtual, On-site, or Hybrid). Labs follow production-shaped scenarios rather than slide-only walkthroughs. Certification prep maps to DP-900 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
The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure.
Overview
Executive overview
In this course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services. Students will learn about core data concepts such as relational, non-relational, big data, and analytics, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. Students will learn about large-scale data warehousing, real-time analytics, and data visualization.
Readiness
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 data scenarios
Strengthen capability in azure scenarios
Strengthen capability in role-based scenarios
Curriculum
Curriculum roadmap
Data
Azure
Role-Based
1Module 1
Introduction to Microsoft Azure Data core data concepts
+
Module 1
Introduction to Microsoft Azure Data core data concepts
Data is the foundation on which all software is built. Learn about common data formats, workloads, roles, and services, which are vital to data professionals.
- Explore core data concepts
- Explore data roles and services
2Module 2
Introduction to Microsoft Azure Data relational data in Azure
+
Module 2
Introduction to Microsoft Azure Data relational data in Azure
Introduction to Microsoft Azure Data relational data in Azure
- Explore fundamental relational data concepts
- Explore relational database services in Azure
3Module 3
Introduction to Microsoft Azure Data non-relational data in Azure
+
Module 3
Introduction to Microsoft Azure Data non-relational data in Azure
Introduction to Microsoft Azure Data non-relational data in Azure
- Explore Azure Storage for nonrelational data
- Explore fundamentals of Azure Cosmos DB
4Module 4
Introduction to Microsoft Azure Data analytics in Azure
+
Module 4
Introduction to Microsoft Azure Data analytics in Azure
Introduction to Microsoft Azure Data analytics in Azure
- Explore fundamentals of large-scale analytics
- Explore fundamentals of real-time analytics
- Explore fundamentals of data visualization
Delivery Models
Delivery models
Engagement Fit
Engagement fit
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Builds a common data and analytics foundation before teams specialize into engineering, science, or administration tracks.
- •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-900T00
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
