Data Pipelines Courses and Certifications

Coursera Career Certificate

Blueprint to Bytecode: Architecting Scalable AI Systems

Master the full AI systems lifecycle—from data pipelines and GPU clusters to cloud deployment—using Kubernetes, Docker, SageMaker, and MLOps best practices to build scalable, production-ready enterprise AI solutions.

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

Coursera

Automate Data Workflows with Airflow Excellence

Master production-ready Apache Airflow workflows with automated retry mechanisms, SLA monitoring, and parameterized pipelines for bulletproof data engineering reliability.

• Coursera
• 1 hour 23 minutes
• Self-Paced
• Paid Course

Coursera Career Certificate

Multimodal Intelligence - Vision, Audio & Language in Action

Master multimodal AI by processing vision, audio, and text data, fine-tuning transformers, building ETL pipelines, and deploying production-ready inference services on Kubernetes with CI/CD.

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

Coursera Career Certificate

SQL at Scale: Querying, Transforming, and Governing

Master production-grade SQL engineering across querying, transformation, validation, and governance using tools like Snowflake, dbt, and Databricks for enterprise-scale data systems.

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

Coursera Career Certificate

Gradient to Production: MLOps & Model Serving

Master the full MLOps stack—from data pipelines to model deployment—using FastAPI, Docker, Kubernetes, and Airflow, and learn to ship, monitor, and maintain ML systems in production.

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

Coursera Career Certificate

AI Model Development & Deployment

Unlock the skills to architect, optimize, and deploy production-ready machine learning systems with hands-on experience in PyTorch, TensorFlow, FastAPI, and AWS SageMaker.

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

Coursera

AWS Data Automation: Glue & Lambda Integration

Master AWS Glue and Lambda integration to automate ETL pipelines, build data catalogs, and create serverless workflows for efficient cloud-native data processing solutions.

• Coursera
• 3 hours 38 minutes
• Self-Paced
• Paid Course

Starweaver

GenAI Data Engineering and RAG Systems

Master advanced data engineering techniques to build enterprise-grade RAG systems that transform raw data into intelligent, context-aware AI applications with vector databases.

• Coursera
• 6 hours 49 minutes
• Self-Paced
• Paid Course

Packt

Building Modern Data Applications Using Databricks Lakehouse

Master Databricks Lakehouse to build scalable data applications with Delta Live Tables, Unity Catalog governance, and Terraform deployment for production-ready pipelines.

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

Coursera Career Certificate

Pipeline Architects: Data Engineering to Lakehouse

Master end-to-end data engineering, from ingestion to lakehouse delivery, using Python, SQL, Airflow, dbt, Snowflake, Kafka, and Delta Lake to build production-ready pipelines at enterprise scale.

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

Coursera Career Certificate

Geospatial Visualization, Cloud & Real-Time Pipelines

Master geospatial visualization, cloud computing, and real-time pipelines—build ETL workflows, interactive maps, PostGIS queries, and live GPS dashboards for production-ready GIS systems.

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

Coursera

Map Data Flows Fast

Master systematic visualization of data pipelines through comprehensive flow diagrams that map sources, transformations, and destinations for better engineering decisions.

• Coursera
• 1 hour 18 minutes
• Self-Paced
• Paid Course

Coursera

Fine-tune Multimodal Models with Transfer Learning

Master transformer-based multimodal AI systems integrating text and image processing with PyTorch/TensorFlow, implementing fusion mechanisms and advanced fine-tuning strategies.

• Coursera
• 1 hour 45 minutes
• Self-Paced
• Paid Course

Coursera Career Certificate

Vision & Audio AI Systems

Master production-ready AI systems that unify visual and audio data through advanced multimodal techniques, ETL pipelines, fusion algorithms, and transformer fine-tuning.

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

Coursera

Design Real-Time Architectures with Spark & Kafka

Master real-time data pipelines using Apache Spark & Kafka for scalable streaming systems with fault tolerance, performance tuning, and production deployment strategies.

• Coursera
• 3 hours 39 minutes
• Self-Paced
• Paid Course