“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Enterprise Program Brief
Build machine learning solutions using Azure Databricks
Azure Databricks is a fully managed, cloud-based data analytics platform, which empowers developers to accelerate AI and innovation by simplifying the process of building enterprise-grade data applications. Built as a joint effort by Microsoft and the team that started Apache Spark, Azure Databricks provides data science, engineering, and analytical teams with a single platform for big data processing and machine learning. In this course, you’ll learn how to use Azure Databricks to train and deploy machine learning models. Audience Profile This course is designed for aspiring data scientists and AI engineers who need to train and manage machine learning models by using Azure Databricks.
Role-Based Certification PrepTrack: DP-3014MicrosoftIntermediate
Download Program Brief (PDF)Program Snapshot
Engagement scoped to cohort
Duration1 day
FormatVirtual, On-site, or Hybrid
LevelIntermediate
Course CodeDP-3014
Certification TrackDP-3014
SubjectData
- MCT-led delivery
- Private cohort / virtual ILT
- Typical response: 1 business day
Scoping call typically scheduled within one business day
VNode ITeS delivers Build machine learning solutions using Azure Databricks as an MCT-led Microsoft program for Ai Engineer, Data Scientist. Typical duration is 1 day (Virtual, On-site, or Hybrid). Labs follow production-shaped scenarios rather than slide-only walkthroughs. Certification prep maps to DP-3014 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
Built for Ai Engineer, Data Scientist learners adopting Build machine learning solutions using Azure Databricks.
- AI Engineer, Data Scientist
- Data
- Certification Readiness
- Tailored Team Delivery
Overview
Executive overview
Official Microsoft Learn-aligned instructor-led program for Build machine learning solutions using Azure Databricks.
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 ai engineer scenarios
- Strengthen capability in data scientist 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.
Curriculum
Curriculum roadmap
- Ai Engineer
- Data Scientist
- Azure
1Module 1
Ai Engineer
+
Module 1
Ai Engineer
Cover ai engineer skills and implementation practices aligned to Build machine learning solutions using Azure Databricks.
- Cover ai engineer skills
- implementation practices aligned to Build machine learning solutions using Azure Databricks
2Module 2
Data Scientist
+
Module 2
Data Scientist
Cover data scientist skills and implementation practices aligned to Build machine learning solutions using Azure Databricks.
- Cover data scientist skills
- implementation practices aligned to Build machine learning solutions using Azure Databricks
3Module 3
Azure
+
Module 3
Azure
Cover azure skills and implementation practices aligned to Build machine learning solutions using Azure Databricks.
- Cover azure skills
- implementation practices aligned to Build machine learning solutions using Azure Databricks
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: Builds current Microsoft credential readiness for Build machine learning solutions using Azure Databricks using the official Microsoft Learn outline.
- Align labs to your production environment and platform priorities
- Add readiness reviews and instructor-led practice sessions
- Extend into project-specific architecture or delivery coaching
Credentials
Certification & official source
- •DP-3014
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
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
