DP-090T00: Implementing a Machine Learning Solution with Microsoft Azure Databricks

Course Description

This SkillDynamo course develops practical, role-relevant capability in building, tracking, evaluating, registering, and deploying machine-learning solutions with Azure Databricks, MLflow, and Azure Machine Learning. The learning path progresses from essential concepts and planning to implementation, validation, troubleshooting, and operational use.

Learners work through realistic scenarios, guided demonstrations, applied exercises, and evidence-based reviews. Every topic is connected to workplace responsibilities, common risks, quality controls, and measurable outcomes.

The course helps professionals make informed decisions, identify failure points, communicate results, and create an actionable improvement plan for future projects.

What You Will Learn

• Explain workspaces, clusters, notebooks, storage, Spark, identities, libraries, secrets, and machine-learning workflow
• Load, clean, explore, transform, split, and validate data for repeatable model development
• Create features and train suitable classification, regression, or clustering models using scalable data processing
• Evaluate models with metrics, validation, error analysis, baseline comparison, and reproducible parameters
• Track parameters, metrics, artifacts, environments, runs, tags, lineage, and model versions with MLflow
• Register and promote models with metadata, approvals, stages, dependencies, and quality criteria
• Integrate Databricks with Azure Machine Learning for deployment, endpoints, environments, and operational management
• Test services, monitor performance, detect issues, manage versions, secure access, and plan retraining

SkillDynamo Training Approach

SkillDynamo delivers this course through demonstrations, hands-on exercises, scenario analysis, validation checklists, structured troubleshooting, solution reviews, and a final improvement plan. Learners repeatedly practice planning, implementation, evidence collection, testing, correction, and communication so the skills transfer confidently into real workplace situations.