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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


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    IBM

    DataOps Methodology

    Skills you'll gain: Data Governance, Data Management, Data Modeling, Data Quality, Data Integration, Data Transformation, Data Pipelines, Agile Methodology, Business Process Automation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    60 reviews

    Beginner · Course · 1 - 3 Months

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    Google Cloud

    Professional Cloud Architect Part 2: AI, Security, & Ops

    Skills you'll gain: Kubernetes, Infrastructure as Code (IaC), Application Performance Management, Terraform, Identity and Access Management, Generative AI Agents, Metadata Management, Google Cloud Platform, Data Sharing, Data Pipelines, Cloud-Native Computing, Cloud Development, Prompt Engineering, Serverless Computing, Generative AI, Cloud Security, Cloud Deployment, AI literacy, Dashboard Creation, MLOps (Machine Learning Operations)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.9K reviews

    Advanced · Specialization · 3 - 6 Months

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    KodeKloud

    AWS Certified AI Practitioner

    Skills you'll gain: Amazon Bedrock, AWS SageMaker, Generative Model Architectures, Risking, Artificial Intelligence, LLM Application, Large Language Modeling, AI Workflows, AWS Identity and Access Management (IAM), Cloud Solutions, Cloud Engineering, Cloud Development, Cloud Computing, Cloud Management, Cloud Services, Automation

    Beginner · Course · 1 - 3 Months

  • Status: New
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    KodeKloud

    Hands-On MLOps Fundamentals for ML Engineers

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Architecture, Model Training, Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Data Governance, Machine Learning, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Unsupervised Learning, Automation

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Apache Spark: Design & Execute ETL Pipelines Hands-On

    Skills you'll gain: Extract, Transform, Load, Apache Spark, Data Pipelines, PySpark, Apache Hadoop, Data Engineering, Data Transformation, MySQL, MySQL Workbench, Data Processing, Data Store, SQL, Data Import/Export, Exploratory Data Analysis, Development Environment, Data Analysis, Software Installation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Apache Airflow Best Practices

    Skills you'll gain: Apache Airflow, AI Workflows, MLOps (Machine Learning Operations), Multi-Tenant Cloud Environments, Data Pipelines, Workflow Management, Business Workflow Analysis, Cloud Deployment, CI/CD, Devops Tools, DevOps, Configuration Management, Python Programming, Scalability, Performance Tuning, Key Management

    Intermediate · Course · 3 - 6 Months

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    Microsoft

    Launching Your Fabric Analytics Career

    Skills you'll gain: Interviewing Skills, Professional Development, Web Presence, Professionalism, Analytics, Technical Communication, Technical Writing, Portfolio Management, AI literacy, Verbal Communication Skills, Oral Expression, Data Processing, Workforce Development, Data Integrity, Data Management, Data Security

    Advanced · Course · 1 - 4 Weeks

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    Edureka

    Microsoft Fabric Analytics Engineer: DP-600 Exam Prep

    Skills you'll gain: System Monitoring, Data Analysis Expressions (DAX), Real Time Data, Performance Tuning, Microsoft Azure, Dataflow, Data Pipelines, Data Warehousing, Power BI, Apache Spark, Data Governance, Business Analytics, SQL, Data Management, Workflow Management, Data Science, Security Engineering, Artificial Intelligence and Machine Learning (AI/ML), Warehouse Management, Application Deployment

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    IBM

    Introduction to Relational Databases (RDBMS)

    Skills you'll gain: Database Design, IBM DB2, Relational Databases, Database Systems, Database Development, Databases, Database Management, PostgreSQL, MySQL, Database Administration, Database Software, SQL, Database Management Systems, Database Architecture and Administration, Data Modeling, Data Import/Export, Data Integrity, Command-Line Interface

    4.6
    Rating, 4.6 out of 5 stars
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    795 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Microsoft

    Fabric Foundations

    Skills you'll gain: Data Lakes, Dependency Analysis, Data Architecture, Change Control, Data Warehousing, Capacity Management, Data Pipelines, Software As A Service, Virtualization, Transact-SQL, Data Integration, Dataflow

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Snowflake

    Snowflake Generative AI

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, AI Orchestration, Fine-tuning, Agentic Workflows, AI Workflows, Generative Model Architectures, LLM Application, Data Engineering, Data Manipulation, Model Context Protocol, Data Store, Large Language Modeling, Artificial Intelligence, Application Deployment, Tool Calling, Data Warehousing, Embeddings, SQL

    4.7
    Rating, 4.7 out of 5 stars
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    284 reviews

    Beginner · Professional Certificate · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Building Cloud Computing Solutions at Scale

    Skills you'll gain: Cloud Deployment, Technical Communication, Cloud Infrastructure, MLOps (Machine Learning Operations), Cloud-Native Computing, Cloud Technologies, Cloud Services, Cloud Hosting, CI/CD, Cloud Platforms, Cloud Computing, Azure DevOps Pipelines, Application Deployment, Cloud Engineering, Software Engineering, Cloud Development, Continuous Delivery, Applied Machine Learning, Cloud API, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular data engineering courses

  • DataOps Methodology: IBM
  • Professional Cloud Architect Part 2: AI, Security, & Ops: Google Cloud
  • AWS Certified AI Practitioner: KodeKloud
  • Hands-On MLOps Fundamentals for ML Engineers: KodeKloud
  • Apache Spark: Design & Execute ETL Pipelines Hands-On: EDUCBA
  • Apache Airflow Best Practices: Packt
  • Launching Your Fabric Analytics Career: Microsoft
  • Microsoft Fabric Analytics Engineer: DP-600 Exam Prep: Edureka
  • Introduction to Relational Databases (RDBMS): IBM
  • Fabric Foundations: Microsoft

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Google Cloud Platform (18)
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Object-oriented Programming (13)
Kubernetes (10)
List & Label (10)

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