Data Engineering Learning Path

AI Conformity Assessment & Auditing

8 concepts · 4 paths · 1 pillar

Progress 0 / 8 complete

Flow

Model Cards & Documentation Standards

Debiasing Pipeline

Fairness Metrics in ML

All Paths

AI Conformity Assessment & Auditing → Model Cards & Documentation Standards → Debiasing Pipeline → Fairness Metrics in ML

3 steps

AI Conformity Assessment & Auditing → Model Cards & Documentation Standards → Debiasing Pipeline → Data Quality

3 steps

AI Conformity Assessment & Auditing → ML Pipeline Engineering → Workflow Orchestration → Data Pipeline Architecture

3 steps

AI Conformity Assessment & Auditing → ML Pipeline Engineering → Data Pipeline Architecture

2 steps

Concepts in this Path

1 AI Conformity Assessment & Auditing

Mark Done Understand

Data-engineering 0 items Review on Dashboard →

No linked content for this concept yet.

2 Model Cards & Documentation Standards

Mark Done Apply

Data-engineering 0 items Review on Dashboard →

No linked content for this concept yet.

3 Debiasing Pipeline

Mark Done Analyze

Data-engineering 0 items Review on Dashboard →

No linked content for this concept yet.

4 Fairness Metrics in ML

Mark Done Evaluate

Data-engineering 0 items Review on Dashboard →

No linked content for this concept yet.

5 Data Quality

Mark Done Evaluate

Data-engineering 8 items Review on Dashboard →

Data Quality, Observability, and Cost Optimization at Scale Learn Learning Hub Learn DataOps: Principles, Practices, and Pipeline Architecture Learn

6 ML Pipeline Engineering

Mark Done Analyze

Data-engineering 5 items Review on Dashboard →

Building Resilient Data Pipelines with Spark and dbt Learn ML Pipeline Orchestration: From Notebook to Production with Feast and MLflow Research Feature Engineering at Scale: Building ML-Ready Market Data Pipelines with dbt and Iceberg Research

7 Workflow Orchestration

Mark Done Evaluate

Data-engineering 3 items Review on Dashboard →

ML Pipeline Orchestration: From Notebook to Production with Feast and MLflow Research Airflow vs Prefect vs Dagster: Choosing the Right Orchestrator in 2026 Research Dagster 2.0: Next-Gen Data Pipeline Orchestration for the Modern Data Platform Research

8 Data Pipeline Architecture

Mark Done Create

Data-engineering 1 items Review on Dashboard →

DataOps: Principles, Practices, and Pipeline Architecture Learn

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AI Conformity Assessment & Auditing

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