Data Pipelines Courses and Certifications

Confreaks

What Would the Django of Data Pipelines Look Like?

Explore how Django's design principles could revolutionize data pipeline development, examining frameworks and patterns for building scalable, maintainable data processing systems.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

The Complete Hands-On Introduction to Apache Airflow 3

13967 ratings at Udemy

Learn to author, schedule and monitor data pipelines through practical examples using Apache Airflow

• Udemy
• 4 hours 37 minutes
• Self-Paced
• Paid Course

DP-203 - Data Engineering on Microsoft Azure

13671 ratings at Udemy

Preparation for DP-203 Data Engineering on Microsoft Azure exam

• Udemy
• 21 hours 20 minutes
• Self-Paced
• Paid Course

AWS Certified Data Engineer Associate 2026 - Hands On!

12483 ratings at Udemy

AWS DEA-C01 certification prep course with exercises and 2 full-length practice exams. Redshift, Glue, Athena, and more

• Udemy
• 1 day 26 minutes
• Self-Paced
• Paid Course

Serverless Data Processing with Dataflow: Develop Pipelines

44 ratings at Coursera

Develop advanced Dataflow pipelines using Apache Beam SDK. Learn streaming data processing, sources/sinks, schemas, stateful transformations, performance optimization, SQL/Dataframes integration, and iterative development with Beam notebooks.

• Coursera
• 23 hours 24 minutes
• Self-Paced
• Paid Course

Data Preprocessing For Machine Learning

Master essential data preprocessing techniques for machine learning, from handling missing values and encoding features to scaling data and creating effective train-test splits.

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

Board Infinity

Managing Data Lakes & Pipelines with Google Cloud Dataplex

Learn to manage, monitor, and analyze data across Google Cloud systems with Dataplex. Master setup, data processing, analytics integration, and best practices for efficient cloud-based data handling.

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

Intermediate Data Manipulation with dplyr

Master advanced data manipulation techniques in R using dplyr's powerful functions for filtering, selecting, mutating, summarizing, and chaining operations to create efficient data analysis workflows.

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

Automating Retraining with Apache Airflow

Master Apache Airflow to build automated ML retraining pipelines with data processing, model training, evaluation, scheduling, and error handling for production systems.

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

Bringing Transformers to Life: Training & Inference

Master Transformer architecture by building complete models, implementing training pipelines with synthetic datasets, and exploring autoregressive generation with beam search strategies.

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

Building Realtime Pipelines in Cloud Data Fusion

Learn to create real-time event processing pipelines using Data Fusion and Apache Spark Streaming on Cloud Dataproc, enabling efficient handling of streaming data in Google Cloud.

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

Building an Async CLI Tool for ETL Pipelines in Python

Master building a production-ready async CLI ETL tool in Python, integrating dataclasses, pattern matching, and asyncio into a complete portfolio-worthy project.

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

Redacting Confidential Data within your Pipelines in Cloud Data Fusion

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to use the Cloud Data Fusion plugin for Cloud DLP to redact sensitive data.

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

Coursera

Preparing Multimodal Data: Vision, Audio, and NLP Pipelines

Master building multimodal data pipelines for vision, audio, and NLP. Preprocess images, extract audio features, fine-tune transformers, and evaluate AI models trained on real-world unstructured data.

• Coursera
• 11 hours 14 minutes
• Self-Paced
• Paid Course

Coursera

Parse & Normalize Data for ML Pipelines

Master data preprocessing for ML pipelines using Java, covering parsing, normalization, and building enterprise-grade workflows to eliminate the 80% of production failures caused by poor data quality.

• Coursera
• 4 hours 18 minutes
• Self-Paced
• Paid Course