“The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.”
Enterprise Program Brief
Apache Spark Programming with Databricks
This program aligns to the Apache Spark developer learning pathway on Databricks and prepares teams to build, test, and optimize Spark applications more effectively. It focuses on Spark fundamentals, DataFrame APIs, Spark SQL, transformation logic, and the development habits needed for production-oriented distributed data work.
Duration
2 days
Level
Intermediate
Format
Virtual, On-site, or Hybrid
Language
English
Databricks
Apache Spark DeveloperPySpark, Spark SQL, distributed apps
Databricks Spark
On this page
Ideal for
How VNode delivers this
Who this is for, and how we run it
VNode ITeS delivers Apache Spark Programming with Databricks as an MCT-led Databricks program for Data Engineer. Typical duration is 2 days (Virtual, On-site, or Hybrid). Labs follow production-shaped scenarios rather than slide-only walkthroughs. Certification prep maps to the official exam outline 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 practitioners who need to write, validate, and improve Spark applications on Databricks using applied distributed-processing patterns.
Overview
Executive overview
Databricks Spark developer program aligned to Apache Spark application-development workflows and associate-level Spark certification outcomes.
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 apache spark scenarios
Strengthen capability in databricks data intelligence platform scenarios
Curriculum
Curriculum roadmap
Apache Spark
Databricks Data Intelligence Platform
1Module 1
Apache Spark
+
Module 1
Apache Spark
Cover apache spark skills and implementation practices aligned to Apache Spark Programming with Databricks.
- Cover apache spark skills
- implementation practices aligned to Apache Spark Programming with Databricks
2Module 2
Databricks Data Intelligence Platform
+
Module 2
Databricks Data Intelligence Platform
Cover databricks data intelligence platform skills and implementation practices aligned to Apache Spark Programming with Databricks.
- Cover databricks data intelligence platform skills
- implementation practices aligned to Apache Spark Programming with Databricks
Delivery Models
Delivery models
Engagement Fit
Engagement fit
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Builds applied Spark development capability for teams that need stronger PySpark and Spark SQL implementation skills on Databricks.
- •Use your preferred language emphasis where applicable
- •Add medallion-style data-processing scenarios for engineering teams
- •Extend into testing, debugging, and optimization standards for Spark projects
Credentials
Certification & official source
- •Databricks Academy learning plan
Aligned to the official Databricks training catalog and certification guidance for this program.
View Databricks Training 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
“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
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
