Data Pipelines Courses and Certifications

Microsoft DP-700 prep: Fabric Data Engineer Associate

2230 ratings at Udemy

Learn PySpark, SQL, KQL and Fabric for DP-700 exam. Also helps with the APL-3008, 3009 and 3010 Microsoft Applied Skills

• Udemy
• 17 hours 26 minutes
• Self-Paced
• Paid Course

Big Data Engineering Bootcamp with GCP, and Azure Cloud

2206 ratings at Udemy

Master Big Data with Hadoop, Spark, Kafka & Cloud | Build Real-World Projects & Scalable Data Pipelines from Scratch

• Udemy
• 3 days 1 hour 46 minutes
• Self-Paced
• Paid Course

Data Engineering 101: The Beginner's Guide

2118 ratings at Udemy

Discover the fundamentals of modern data engineering, from pipeline architectures to essential tools like Dagster and DBT, perfect for beginners and data professionals seeking core concepts.

• Udemy
• 3 hours 49 minutes
• Self-Paced
• Paid Course

[2025] Mastering Azure Data Factory :From Basics to Advanced

2101 ratings at Udemy

Learn ETL and Big Data Processing on Azure with Azure Data Factory V2. Bonus: Real World Use Cases

• Udemy
• 10 hours 23 minutes
• Self-Paced
• Paid Course

Snowflake

Introduction to Modern Data Engineering with Snowflake

144 ratings at Coursera

Learn to build modern data pipelines with Snowflake, covering ingestion, transformation, and delivery. Hands-on practice with SQL, Snowpark, UDFs, tasks, and more for end-to-end pipeline creation.

• Coursera
• 6 hours 2 minutes
• Self-Paced
• Paid Course

End to End Azure Data Engineering Real Time Project- 3 Hours

1812 ratings at Udemy

Azure Data Engineer Project using the modern Data Tools like ADF, Azure Databricks, Azure Synapse Analytics, ADLS Gen2

• Udemy
• 2 hours 53 minutes
• Self-Paced
• Paid Course

Introduction to Data Engineering using Generative AI

1650 ratings at Udemy

Hands-On Beginner's Guide to GenAI and LLMs for Transforming, Loading, and Modeling Data with Python and SQL

• Udemy
• 6 hours 8 minutes
• Self-Paced
• Paid Course

Databricks Certified Data Engineer Associate - Bootcamp

1573 ratings at Udemy

[NEW 2026 SYLLABUS] Databricks Data Engineer | Databricks Certified Data Engineer Associate Certification Exam Prep

• Udemy
• 18 hours 48 minutes
• Self-Paced
• Paid Course

AI Workflow: Machine Learning, Visual Recognition and NLP

96 ratings at Coursera

Explore machine learning, visual recognition, and NLP in AI workflows. Learn evaluation metrics, model selection, and best practices for linear models, tree-based algorithms, and neural networks using IBM Watson.

• Coursera
• 13 hours 41 minutes
• Self-Paced
• Paid Course

EDUCBA Career Certificate

Spark and Python for Big Data with PySpark

95 ratings at Coursera

Master Apache Spark and PySpark for big data analytics, machine learning, ETL pipelines, and real-time processing to build scalable distributed applications.

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

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

68 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