Data Pipelines Courses and Certifications

Packt

AWS Data Collection and Storage

Master AWS data collection and storage: Kinesis streaming, S3 management, and DynamoDB optimization. Gain hands-on experience in configuring, securing, and scaling data pipelines for efficient large-scale data handling.

• Coursera
• 7 hours 18 minutes
• On-Demand
• Paid Course

Packt Microcredential

AWS Certified Data Analytics Specialty (2023) Hands-on

Master AWS data analytics: collect, store, process, and visualize data using key services. Gain hands-on skills for real-world scenarios and exam preparation.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course

Packt Microcredential

Data Engineering on AWS - The Complete Training

Master AWS data engineering by building scalable pipelines, processing big data with EMR, streaming with Kinesis, and creating data lakes using Glue, Redshift, and other key services.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

Getting Started with 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 create a Data Fusion instance and deploy a sample pipeline

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

Coursera

Engineer Features and Evaluate Models for Production

Discover how to build production-grade ML systems with robust feature engineering pipelines and advanced model evaluation techniques using scikit-learn and TensorBoard.

• Coursera
• 2 hours 46 minutes
• On-Demand
• Paid Course

AI For Data Analysts

Discover how to build AI-powered data agents without coding experience. Master automated data collection, ML model training, and ethical AI deployment across industries like retail and healthcare.

• Coursera
• 10 hours 40 minutes
• On-Demand
• Paid Course

Starweaver Microcredential

GenAI Data and Analytics Academy

Master building production-ready AI systems from data pipelines to autonomous agents, covering prompt engineering, RAG systems, model development, and deployment at scale.

• Coursera
• 4 weeks, 4 hours a week
• On-Demand
• Paid Course
• 4 courses

Fractal Analytics

Data Lineage & Ethical Frameworks for Responsible AI

Discover how to build ethical AI systems with traceable data lineage, governance frameworks, and responsible practices for enterprise workflows.

• Coursera
• 7 hours 54 minutes
• On-Demand
• Paid Course

Coursera Microcredential

Deep Learning Engineering

Master production-scale deep learning systems through TensorBoard diagnostics, PyTorch optimization, transformer fine-tuning, and GPU deployment with containerized infrastructure.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

Packt

Apache Airflow Best Practices

Master Apache Airflow for scalable data pipeline orchestration, from core concepts to advanced deployment strategies, with hands-on MLOps and multi-tenancy implementation.

• Coursera
• 11 hours 1 minute
• On-Demand
• Paid Course

Mastering Generative AI for Data Engineering

Gain insights into using generative AI for data engineering tasks, from architecture design to ETL workflows, with hands-on projects to enhance your skills and career prospects in this high-demand field.

• edX
• 4 weeks, 3-5 hours a week
• On-Demand
• Free Online Course (Audit)

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
• On-Demand
• 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
• On-Demand
• Paid Course

Pragmatic AI Labs

Databricks Lakehouse Fundamentals

Discover how to build data pipelines on Databricks Lakehouse Platform with hands-on PySpark, Delta Lake, and Unity Catalog training for complete data engineering workflows.

• Coursera
• 4 hours 53 minutes
• On-Demand
• 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
• On-Demand
• Paid Course