Databricks Certified Machine Learning Professional Prep
Professional Certification preparation with worked examples, written practice and independent learning assessments.
Professional Databricks Certified Machine Learning Professional Prep course covering: Experimentation and advanced MLflow; Scalable model development and distributed training; Model lifecycle management in Unity Catalog; Model serving and real-time endpoints; Monitoring, drift detection and Lakehouse Monitoring; MLOps workflows and deployment strategies; Testing, CI/CD and governance for ML; Professional scenarios and exam review. Aligned to the published exam guide for Databricks Certified Machine Learning Professional, with practical lessons, hands-on labs, exercises, quizzes and a final exam. Includes lessons, supplementary YouTube tutorials, practical exercises, quizzes and free/paid practice tests. Erudex is independent, not affiliated with the source institution or awarding body. Its 80% learning checks are not official grades or university credit. Content requires qualified subject review before use as a complete teaching programme.
Curriculum
One complete track with its own final exam and certificate.
Professional Databricks Certified Machine Learning Professional Prep course covering: Experimentation and advanced MLflow; Scalable model development and distributed training; Model lifecycle management in Unity Catalog; Model serving and real-time endpoints; Monitoring, drift detection and Lakehouse Monitoring; MLOps workflows and deployment strategies; Testing, CI/CD and governance for ML; Professional scenarios and exam review. Aligned to the published exam guide for Databricks Certified Machine Learning Professional, with practical lessons, hands-on labs, exercises, quizzes and a final exam.
Experimentation and advanced MLflow
- Lesson 1: Advanced MLflow Tracking, Nested Runs, and Deep Autologging Lab60 min
- Lesson 2: MLflow Model Packaging, Signatures, and Custom PyFunc Development Lab60 min
- Lesson 3: Programmatic Model Evaluation, Comparative Analysis, and LLM Metrics Lab60 min
- Lesson 4: MLflow Recipes, Pipelines, and Enterprise Workspace Governance Lab60 min