“The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.”
Enterprise Program Brief
Role-Based Certification PrepTrack: Databricks Certified Machine Learning ProfessionalOfficial Source: Databricks
DatabricksAdvanced
Advanced Machine Learning with Databricks
Aligned to the Databricks Certified Machine Learning Professional track, this program focuses on designing and operating enterprise-scale machine learning systems on Databricks. It emphasizes scalable model pipelines, advanced MLflow usage, testing, automated retraining, environment management, and deployment strategies for high-confidence production ML.
Duration
2 days
Level
Advanced
Format
Virtual, On-site, or Hybrid
Language
English
Executive brief for stakeholdersDownload Program Brief (PDF)
Enterprise Track
Databricks
Advanced MLOpsAM
Scale, serving, monitoring, lifecycle
Databricks ML
MLOPS
On this page
Ideal for
Machine Learning EngineerAdvanced Machine LearningCertification ReadinessTailored Team Delivery
Audience Profile
Built for these roles
Designed for experienced machine learning practitioners who need to implement scalable, monitored, production-grade ML systems using advanced Databricks platform capabilities.
Overview
Executive overview
Advanced Databricks ML program aligned to professional-level machine learning engineering across scale, automation, environment management, and production operations.
Readiness
Prerequisites
- Hands-on Databricks machine learning experience.
- Comfort with MLflow, model training workflows, and Python ML libraries.
- Experience supporting models beyond experimentation into production.
Program Outcomes
Capabilities your teams will gain
Scale machine learning workflows more effectively on Databricks
Strengthen advanced MLOps and lifecycle management practices
Use MLflow, serving, and monitoring patterns with more confidence
Improve deployment and retraining strategies for enterprise ML systems
Curriculum
Curriculum roadmap
1
Machine Learning at Scale
2
Advanced Machine Learning Operations
1Module 1
Scale enterprise machine learning workloads
+
Module 1
Scale enterprise machine learning workloads
Design training and inference workflows that take advantage of Databricks for larger-scale machine learning pipelines, distributed processing, and performance-aware execution.
- Machine Learning at Scale
2Module 2
Operate advanced MLOps workflows
+
Module 2
Operate advanced MLOps workflows
Apply stronger practices for model lifecycle control, testing, deployment automation, monitoring, and reliable production operations.
- Advanced Machine Learning Operations
Delivery Models
Delivery models
Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend
Engagement Fit
Engagement fit
Certification readinessImplementation-focused labsPrivate cohort deliveryAdvanced practitioner depth
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Helps advanced ML teams mature their production engineering practices on Databricks around scale, MLOps, model lifecycle control, and enterprise deployment.
- •Focus on model serving and release management for production teams
- •Add deeper retraining and monitoring scenarios relevant to your MLOps setup
- •Extend with Databricks Asset Bundles and environment promotion patterns
Credentials
Certification & official source
- •Databricks Certified Machine Learning Professional
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
