Data Pipelines Courses and Certifications

Edureka Career Certificate

Data Engineering for AI and ML Pipelines

Build end-to-end Databricks data pipelines: Spark and PySpark foundations, Delta Lake Bronze/Silver/Gold medallion layers, schema and quality enforcement, and feature stores feeding ML workflows.

• Coursera
• 8 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 3 courses

Building Batch Pipelines in Cloud Data Fusion

Build an ETL batch pipeline node by node in Cloud Data Fusion's Pipeline Studio, using built-in plugins and the Wrangler plugin to transform data.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Data Pipeline Automation on AWS

Automate AWS data workflows with Lambda, S3 events, EventBridge schedules, and Glue jobs to process files without manual intervention.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Hadoop and Spark Fundamentals: Managing Clusters and Data Pipelines

Import data into HDFS with Hive, Spark, Flume, and Sqoop, build Spark applications in Apache Zeppelin, and install, monitor, and manage Hadoop clusters using Ambari.

• Coursera
• 7 hours 30 minutes
• Self-Paced
• Paid Course

Reproducible Training Data and ML-Ready Data Pipelines

Build reproducible, leakage-safe training data pipelines: dataset versioning, deterministic builds, point-in-time correctness, feature and label workflows, and CI release gates for schema, drift, and bias checks.

• Coursera
• 9 weeks, 2 hours a week
• Self-Paced
• Paid Course

EDUCBA

Apply ETL Testing Techniques for Retail Data Pipelines

Test a retail chain's ETL pipeline end to end: design test cases, validate pricing logic and multi-store consolidation, and verify aggregated middle and final data layers.

• Coursera
• 2 weeks, 3 hours a week
• Self-Paced
• Paid Course

Coursera

Preparing Multimodal Data: Vision, Audio, and NLP Pipelines

Build multimodal data pipelines: normalize images, extract optical flow and MFCC features, augment audio, and fine-tune BERT with Hugging Face and spaCy.

• Coursera
• 13 weeks, 1 hour a week
• Self-Paced
• Paid Course

Coursera

ML Data Pipelines and Communicating AI Insights

Build ETL pipelines that turn raw data into ML-ready datasets with PySpark, SQL, and Pandas, then engineer features, run A/B tests, and communicate insights visually.

• Coursera
• 9 weeks, 1 hour a week
• Self-Paced
• Paid Course

Pragmatic AI Labs

Rust DataOps: CI/CD and Containers for Data Pipelines

Build end-to-end CI/CD pipelines for Rust data applications: write GitHub Actions workflows with matrix builds and job dependencies, lint Dockerfiles, and release containerized apps.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

Coursera

Parse & Normalize Data for ML Pipelines

Build Java preprocessing pipelines for ML: parse large CSV/TSV files with OpenCSV and Apache Commons CSV, apply Min-Max and Z-score normalization, and handle outliers and missing values.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

Confluent

Building Data Pipelines with Apache Kafka and Confluent

Build streaming data pipelines with Apache Kafka, using Kafka Connect for CDC ingestion and egress and ksqlDB for real-time stream transformations.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Career Certificate

Google Business Intelligence

9488 ratings at Coursera

Build business intelligence skills by using BigQuery and SQL to model data, then creating Tableau dashboards and reports for decisions.

• Coursera
• 8 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 4 courses

AI Skills for Engineers: Data Engineering and Data Pipelines

3 ratings

Good data is central to effective AI applications. This course teaches the basics of data for AI, covering what data is needed, how to extract data from existing databases and basic data skills includ

• edX
• 6 weeks, 5-7 hours a week
• Self-Paced
• Free Certificate

Career Certificate

TensorFlow: Data and Deployment

1475 ratings at Coursera

Deploy models to browsers and mobile devices with TensorFlow.js and TensorFlow Lite, build data pipelines with TensorFlow Data Services, and serve models using TensorFlow Serving.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 4 courses

Amazon Web Services;  Amazon

Data Engineering on AWS - A Batch Data Pipeline Solution (Includes Labs) (日本語)

AWS のサービスを使って、スケーラブルで安全なバッチデータパイプラインを構築・運用する実践コース。

• AWS Skill Builder
• 4 hours 25 minutes
• Self-Paced
• Paid Course