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Data Engineering Courses

Data engineering courses can help you learn how to design, build, and maintain data systems and pipelines that support analytics, machine learning, and business intelligence.

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Find the best Data Engineering course for your goals

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Databricks to Local LLMs

    Skills you'll gain: Databricks, Generative AI, Data Lakes, Extract, Transform, Load, MLOps (Machine Learning Operations), Data Transformation, LLM Application, Data Pipelines, Large Language Modeling, Apache Spark, Responsible AI, Data Analysis, Data Science, CI/CD, Machine Learning

    4.1
    Rating, 4.1 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Successful AI Strategies: A CEO's Perspective

    Skills you'll gain: Business Leadership, Generative AI, Responsible AI, Business Strategy, Data Strategy, Strategic Decision-Making, Organizational Strategy, Technology Strategies, Deep Learning, Artificial Intelligence, Organizational Development, Data Ethics, Human Centered Design, Data Quality, Design Thinking, Data Pipelines, Governance, User Centered Design, Ethical Standards And Conduct

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    O

    O.P. Jindal Global University

    Machine Learning

    Skills you'll gain: Supervised Learning, Tensorflow, Image Analysis, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Deep Learning, Unstructured Data, NumPy, Matplotlib, Natural Language Processing, Text Mining, Pandas (Python Package), Regression Analysis, Performance Tuning

    Build toward a degree

    3.3
    Rating, 3.3 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Business Intelligence (BI) Analyst

    Skills you'll gain: Dashboard, Data Storytelling, Data Visualization, Database Design, MySQL, Presentations, Descriptive Statistics, Extract, Transform, Load, Business Intelligence, Data Visualization Software, IBM DB2, Tableau Software, Relational Databases, Star Schema, Interactive Data Visualization, IBM Cognos Analytics, Microsoft SQL Servers, Data-Driven Decision-Making, Excel Formulas, Microsoft Excel

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    H

    H2O.ai

    H2O ai Large Language Models (LLMs) - Level 2

    Skills you'll gain: Large Language Modeling, Data Management, Data Validation, Data Cleansing, Natural Language Processing, MLOps (Machine Learning Operations), Data Transformation, Verification And Validation, Data Quality, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    K

    KodeKloud

    AWS Certified AI Practitioner

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Amazon Web Services, Cloud Security, Artificial Intelligence, Large Language Modeling, Software Development Life Cycle, Prompt Engineering, Human Centered Design, Data Governance

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Relational Databases (RDBMS)

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    741 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Building Cloud Computing Solutions at Scale

    Skills you'll gain: Technical Communication, Cloud Infrastructure, MLOps (Machine Learning Operations), Cloud-Native Computing, CI/CD, Cloud Platforms, Cloud Computing, Application Deployment, Agile Software Development, DevOps, Software Engineering, Infrastructure As A Service (IaaS), Distributed Computing, Microservices, Continuous Delivery, Applied Machine Learning, Extract, Transform, Load, Cloud API, Google Cloud Platform, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    470 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Cloud Computing Foundations

    Skills you'll gain: Technical Communication, Cloud Infrastructure, CI/CD, Cloud Computing, Agile Software Development, DevOps, Infrastructure As A Service (IaaS), Continuous Delivery, Infrastructure as Code (IaC), Serverless Computing, Software Development, Amazon Web Services, Software Development Methodologies, Platform As A Service (PaaS), GitHub

    4.5
    Rating, 4.5 out of 5 stars
    ·
    273 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Fundamentals of Azure Databricks

    Skills you'll gain: Databricks, Apache Spark, Microsoft Azure, PySpark, Data Lakes, Data Processing, Jupyter, File Systems, File Management, Cloud Storage, Cloud Computing Architecture

    3.8
    Rating, 3.8 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Cloud Virtualization, Containers and APIs

    Skills you'll gain: Cloud-Native Computing, Cloud Platforms, Application Deployment, Microservices, Cloud Computing, DevOps, Kubernetes, Continuous Delivery, Containerization, Serverless Computing, Virtual Machines, Performance Testing, System Monitoring, Flask (Web Framework)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    129 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Microsoft Azure: Cloud Solutions Mastery

    Skills you'll gain: Responsible AI, Azure Active Directory, Microsoft Azure, Data Lakes, Platform As A Service (PaaS), Cloud Computing, Data Integration, Relational Databases, AI Personalization, Cloud Applications, Cloud Development, Power BI, Performance Tuning, Microsoft Visual Studio, Anomaly Detection, Cloud Computing Architecture, Database Administration, Cloud Platforms, Cloud Services, Cloud Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    152 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Databricks to Local LLMs: Duke University
  • Successful AI Strategies: A CEO's Perspective: Fractal Analytics
  • Machine Learning: O.P. Jindal Global University
  • IBM Business Intelligence (BI) Analyst: IBM
  • H2O ai Large Language Models (LLMs) - Level 2: H2O.ai
  • AWS Certified AI Practitioner: KodeKloud
  • Introduction to Relational Databases (RDBMS): IBM
  • Building Cloud Computing Solutions at Scale: Duke University
  • Cloud Computing Foundations: Duke University
  • Fundamentals of Azure Databricks: Packt

Skills you can learn in Software Development

Programming Language (34)
Google (25)
Computer Program (21)
Software Testing (21)
Web (19)
Google Cloud Platform (18)
Application Programming Interfaces (17)
Data Structure (16)
Problem Solving (14)
Object-oriented Programming (13)
Kubernetes (10)
List & Label (10)

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