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  • Data Engineering

Data Engineering Courses

Data engineering courses can help you learn data modeling, ETL (extract, transform, load) processes, and data warehousing techniques. You can build skills in data pipeline construction, database management, and ensuring data quality and integrity. Many courses introduce tools like Apache Spark, Hadoop, and SQL, that support processing large datasets and optimizing data workflows. You’ll also explore cloud platforms such as AWS and Azure, which facilitate scalable data solutions and enhance your ability to manage data in various environments.

Popular Data Engineering Courses and Certifications


  • E

    Edureka

    Data Engineering for AI and ML Pipelines

    Skills you'll gain: Feature Engineering, Databricks, Data Engineering, PySpark, Data Lakes, Apache Airflow, Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), Data Architecture, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Data Management, Data Storage, Python Programming, Artificial Intelligence, Machine Learning, SQL, Machine Learning Algorithms, Warehouse Management

    Beginner · Specialization · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • P

    Packt

    Data Engineering on AWS - The Complete Training

    Skills you'll gain: AWS Kinesis, Data Engineering, Amazon Redshift, Amazon Web Services, Apache Kafka, Cloud Computing Architecture, Data Lakes, Real Time Data, Amazon Elastic Compute Cloud, Data Management, Cloud Engineering, Cloud Management, Interactive Data Visualization, Amazon S3, Data Integration, Data Architecture, Data Migration, Performance Tuning, Serverless Computing, AWS Identity and Access Management (IAM)

    Intermediate · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • A

    Amazon Web Services

    Data Engineering on AWS - Foundations

    Skills you'll gain: Infrastructure as Code (IaC), Serverless Computing, CI/CD, Data Infrastructure, Amazon Web Services, Continuous Integration, Data Architecture, AWS Identity and Access Management (IAM), Devops Tools, AWS CloudFormation, Security Controls, Cloud Applications, Amazon CloudWatch, Terraform, Authentications

    4.6 stars, 293 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.6 (293) · Beginner · Course · 1 - 4 Weeks

    Category: Free
    Free
  • G

    Google Cloud

    Introduction to Data Engineering on Google Cloud

    Skills you'll gain: Metadata Management, Data Sharing, Data Pipelines, Extract, Transform, Load, Google Cloud Platform, Data Migration, Data Warehousing, Data Infrastructure, Apache Airflow, Data Processing, Big Data, Data Import/Export, Data Storage, Data Management, IT Automation, Cloud Storage, Apache Spark, Automation

    5 stars, 7 reviews, Beginner, Course, 1 - 3 Months

    ★ 5 (7) · Beginner · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • P

    Pragmatic AI Labs

    Enterprise AI and Data Engineering with Databricks

    Skills you'll gain: Prompt Engineering, MLOps (Machine Learning Operations), Data Pipelines, Databricks, Retrieval-Augmented Generation, Generative AI, Data Lakes, Generative AI Agents, Data Governance, Data Architecture, Data Modeling, Data Management, Data Processing, Data Strategy, Data Quality, Scala Programming, SQL, Python Programming, Data Visualization, Data Literacy

    4.4 stars, 19 reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.4 (19) · Beginner · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • I

    IBM

    Foundations of AI Native Data Engineering

    Skills you'll gain: Infrastructure Architecture, Metadata Management

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • D

    Duke University

    Applied Python Data Engineering

    Skills you'll gain: Data Visualization Software, PySpark, Data Visualization, Snowflake Schema, Data Storytelling, Site Reliability Engineering, Docker (Software), Databricks, Containerization, GitHub Copilot, Interactive Data Visualization, Plot (Graphics), Plotly, Data Pipelines, Kubernetes, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming

    3.9 stars, 131 reviews, Intermediate, Specialization, 1 - 3 Months

    ★ 3.9 (131) · Intermediate · Specialization · 1 - 3 Months

    Status: Free trial
    Free trial
  • I

    IBM

    Generative AI: Elevate your Data Engineering Career

    Skills you'll gain: Generative AI, Generative Model Architectures, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, Responsible AI, Data Warehousing, Data Ethics, Data Infrastructure, Data Architecture, Data Mining, Data Synthesis, Data Analysis, Data Quality, Convolutional Neural Networks

    4.5 stars, 72 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.5 (72) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • D

    Duke University

    Spark, Hadoop, and Snowflake for Data Engineering

    Skills you'll gain: PySpark, Snowflake Schema, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Data Architecture, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, DevOps, Model Training, Model Deployment, Distributed Computing, Data Transformation, SQL, Python Programming

    3.9 stars, 71 reviews, Advanced, Course, 1 - 4 Weeks

    ★ 3.9 (71) · Advanced · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • I

    IBM

    Unstructured Data Engineering for AI

    Skills you'll gain: Unstructured Data, Data Engineering, Data Cleansing, Responsible AI, Data Processing, Data Quality, Data Governance, Data Lakes, Text Mining, Data Capture, AI Workflows, Data Architecture, Document Management, Taxonomy, Retrieval-Augmented Generation, Metadata Management, Personally Identifiable Information, Information Architecture, Data Collection, Release Management

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Status: Free trial
    Free trial
  • P

    Packt

    Mastering Azure Databricks for Data Engineers

    Skills you'll gain: Databricks, CI/CD, Apache Spark, Microsoft Azure, Data Governance, Data Lakes, Data Architecture, Integration Testing, Continuous Integration, Continuous Deployment, Data Infrastructure, Real Time Data, Data Integration, Data Pipelines, IT Automation, Data Management, Automation, Data Storage, Metadata Management, File Systems

    4.4 stars, 58 reviews, Intermediate, Specialization, 1 - 3 Months

    ★ 4.4 (58) · Intermediate · Specialization · 1 - 3 Months

    Status: Free trial
    Free trial
  • C

    Coursera

    Level Up: Advanced SQL for Data Engineering

    Skills you'll gain: Star Schema, Data Infrastructure, Data Governance, Data Modeling, Data Strategy, Data Architecture, Data Migration, Cloud Management, Database Design, Correlation Analysis, Stored Procedure, Data Pipelines, Infrastructure as Code (IaC), Data Validation, Disaster Recovery, Role-Based Access Control (RBAC), Compliance Auditing, CI/CD, Resource Management, Performance Management

    Advanced · Specialization · 3 - 6 Months

    Category: New
    New
    Status: Free trial
    Free trial
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