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Part of the Data Intelligence Architect Pathway

Certified Data Intelligence Specialist

Data Engineering

Data Warehousing, BI, and ETL

About 352 hours of real coursework

Enroll in this Pathway
The Credential

Certified Data Intelligence Specialist — Data Engineering

Finishing every course is not what earns this credential. You earn it by demonstrating all 8 required competencies through real, assessed evidence, then bringing them together in the Project below — reviewed end to end, not graded on attendance.

Data Intelligence

  • Big Data Processing at Scale
  • Big Data & Distributed Systems Architecture
  • ETL Pipeline Engineering
  • Cloud Data Warehousing
  • Data Quality & Observability
  • Streaming Data Engineering
  • Regression & Forecasting
  • Classification Modeling
Term 1 of 2

Applied

Turn that knowledge into practical capability on realistic, guided work.

"Understand the architectural concepts behind big data systems: distributed computing, data lakes, and governance at scale."

Included Modules
Structured vs Unstructured Data
Batch vs Streaming Processing
Distributed Computing Fundamentals
Data Lakes vs Data Warehouses
Data Governance Fundamentals
Apache Spark Awareness

"Design and build ETL pipelines with proper orchestration, validation, and lineage tracking for production reliability."

Included Modules
Extract-Transform-Load Workflow Design
Data Transformation Logic
Workflow Orchestration Concepts
Pipeline Orchestration with Airflow (Awareness)
Data Validation & Quality Checks
Data Lineage Tracking

"Design and optimize cloud data warehouses using Google Cloud and Snowflake, including schema design and cost control."

Included Modules
Warehouse Schema Design (Star & Snowflake)
Partitioning & Clustering
Query Performance Tuning
Managing Large-Scale Datasets
Access Control & Security
Cost Optimization Strategies

"Build data quality and observability into pipelines so downstream models can trust their inputs."

Included Modules
Data Quality Dimensions
Automated Data Testing
Data Observability & Monitoring
Anomaly Detection in Pipelines

"Process data in real time using streaming architectures for low-latency analytics and event handling."

Included Modules
Streaming Fundamentals
Message Brokers & Event Streams
Windowing & Stateful Processing
Lambda & Kappa Architectures

Professional Competencies

Coming soon.

Industry Tools

Coming soon.

Term 2 of 2

Professional

Perform at the depth and independence expected of a working specialist.

"Build a rigorous foundation in machine learning: training, evaluation, and the bias-variance tradeoff that governs model quality."

Included Modules
Supervised vs Unsupervised Learning
Training vs Testing Data
Feature Engineering
Bias & Variance
Model Evaluation Metrics
Cross-Validation
Hyperparameter Tuning

"Build regression and time-series forecasting models to predict continuous business outcomes."

Included Modules
Linear Regression
Regularization Concepts
Time-Series Basics
Forecast Evaluation

"Build classification models and evaluate them rigorously using precision, recall, and ROC analysis."

Included Modules
Logistic Regression
Decision Trees
Model Accuracy, Precision & Recall
ROC Curves

"Take a trained model from notebook to production: serialization, API deployment, and ongoing performance monitoring."

Included Modules
Model Serialization
API-Based Prediction Services
Monitoring Model Performance
Concept Drift Awareness
Ethical AI Considerations

"Operationalize the models you build with versioning, automated retraining, and production monitoring."

Included Modules
Feature Stores
Model Versioning & Registries
Automated Retraining Pipelines
Production Model Monitoring

"Process massive datasets with distributed computing using Spark for both batch and large-scale transformation."

Included Modules
Spark Architecture & RDDs
Spark DataFrames & SQL
Distributed Transformations
Spark Performance Tuning

Professional Competencies

Coming soon.

Industry Tools

Coming soon.

The Project

Data Engineering Portfolio Project

Independent specialization capstone -- demonstrates the CDIS specialization's own competencies. Earned completely independently of any other DIA-Advance specialization.

  1. 1

    Execute

    Data Engineering Portfolio Project

Ready to Start?

This program is part of the Data Intelligence Architect — Specialize Pathway. You'll pick your starting cohort for Certified Data Intelligence Specialist — Data Engineering — the first program in the pathway — on the next step.

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