Data Pipelines Courses and Certifications

Masterclass on Azure Data Factory - Data Engineer for 2026

1430 ratings at Udemy

Learn ETL & Big Data Processing - Azure Data Factory(ADF), SQL, Blob, Datalake, REST API, PySpark, Databricks, DeltaLake

• Udemy
• 1 day 4 hours 53 minutes
• Self-Paced
• Paid Course

Generative AI: Elevate your Data Engineering Career

69 ratings at Coursera

Explore how generative AI revolutionizes data engineering, enhancing productivity in architecture design, querying, schema design, data augmentation, pipelines, and analysis. Gain hands-on skills for real-world applications.

• Coursera
• 13 hours 21 minutes
• Self-Paced
• Paid Course

AI Workflow: Enterprise Model Deployment

62 ratings at Coursera

Explore Apache Spark, Docker, and Watson Machine Learning for enterprise model deployment. Learn best practices for data manipulation, model training, and tuning, focusing on recommender systems and scalable solutions.

• Coursera
• 9 hours 16 minutes
• Self-Paced
• Paid Course

DataOps Methodology

60 ratings at Coursera

Learn to implement DataOps methodology for high-quality enterprise data, enabling AI and driving value. Covers data governance, model management, and best practices for delivering trusted data across an organization.

• Coursera
• 10 hours 22 minutes
• Self-Paced
• Paid Course

Coursera

Production-Ready Multimodal ML Engineering

1 rating

Master the full ML engineering stack — design multimodal feature stores, automate ETL pipelines, optimize inference with TensorRT, and deploy GPU-accelerated services to Kubernetes for production-ready AI systems.

• Coursera
• 11 hours 56 minutes
• Self-Paced
• Paid Course

Packt

Essential Guide to LLMOps

1 rating

Master essential strategies for deploying, monitoring, and optimizing Large Language Models in production environments through practical LLMOps workflows and governance.

• Coursera
• 9 hours 47 minutes
• Self-Paced
• Paid Course

Microsoft Fabric: The Ultimate Guide (with Projects)

1247 ratings at Udemy

Warehouses, Lakehouses, Data Pipelines, Semantic Models, Power BI, Real Time Intelligence and more! (DP-600)

• Udemy
• 12 hours 36 minutes
• Self-Paced
• Paid Course

Data Transformation in the Cloud

29 ratings at Coursera

Explore advanced data visualization, cloud transformation, and data pipeline creation. Learn to optimize and handle large datasets for business insights using SQL and cloud tools.

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

Snowflake

Advanced Data Engineering with Snowflake

29 ratings at Coursera

Master advanced data engineering with Snowflake by implementing DevOps best practices for data pipelines, including source control, continuous delivery, and observability techniques to monitor pipeline health and performance.

• Coursera
• 4 hours 43 minutes
• Self-Paced
• Paid Course

Data Engineering with Google Dataflow and Apache Beam on GCP

1085 ratings at Udemy

First steps to Extract, Transform and Load data using Apache Beam and Deploy Pipelines on Google Dataflow

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

EDUCBA

Microsoft Azure - Data Factory

18 ratings at Coursera

Master Microsoft Azure Data Factory to build, monitor, and optimize scalable data pipelines with hands-on exercises covering setup, debugging, and Azure Data Lake integration.

• Coursera
• 9 hours 12 minutes
• Self-Paced
• Paid Course

Packt

Automation and Project Implementation in Azure Databricks

15 ratings at Coursera

Master Azure Databricks automation with workflows, Repos, REST API, and CLI. Build robust data engineering solutions through bronze, silver, and gold layers, implement security policies, and develop CI/CD pipelines for efficient project management.

• Coursera
• 6 hours 59 minutes
• Self-Paced
• Paid Course

Learn ETL Testing & Data Warehouse fundamentals

1064 ratings at Udemy

Be a Data Quality Assurance Engineer — Build a strong foundation in ETL, Data Warehousing, and testing for data quality

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

Coursera

Azure Data Factory : Implement SCD Type 1

14 ratings at Coursera

Implement Slowly Changing Dimension Type 1 in Azure Data Factory. Learn to create pipelines for inserting new records and updating existing ones in a dimension table using Azure SQL Database.

• Coursera
• 1 hour 55 minutes
• Self-Paced
• Paid Course

Dive into a comprehensive data architecture case study where you'll evaluate, design, migrate, and implement enterprise systems while creating data pipelines and governance plans for real-world applications.

• Coursera
• 9 hours 57 minutes
• Self-Paced
• Paid Course