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    • Data Engineering

    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: New
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      D

      DeepLearning.AI

      Fast Prototyping of GenAI Apps with Streamlit

      Skills you'll gain: Application Deployment, Generative AI, Prompt Engineering, Prototyping, Cloud Applications, Application Development, Application Performance Management, Unstructured Data, User Interface (UI), SQL

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
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      U

      Università di Napoli Federico II

      Robotics Foundations I - Robot Modelling

      Skills you'll gain:

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Modeling, IC Processes and Emerging Microtechnology

      Skills you'll gain: Finite Element Methods, Semiconductors, Electronics Engineering, Electronic Systems, Computer Architecture, Manufacturing Processes, Process Engineering, Emerging Technologies, Simulation and Simulation Software, Mathematical Modeling, Electronic Components, Micrometer, Artificial Intelligence

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      California Institute of the Arts

      Game Design: Art and Concepts

      Skills you'll gain: Animation and Game Design, Game Design, Animations, Prototyping, Conceptual Design, Video Game Development, Storytelling, Software Design Documents, Ideation, Visualization (Computer Graphics), Storyboarding, Design, Virtual Environment, Art History, Technical Design, Design Elements And Principles, Usability Testing, Creative Design, Design Strategies, Graphic and Visual Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.1K reviews

      Beginner · Specialization · 3 - 6 Months

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

      Pearson

      Quick Start Guide to Large Language Models (LLMs): Unit 1

      Skills you'll gain: Prompt Engineering, Large Language Modeling, ChatGPT, Natural Language Processing, Generative AI Agents, OpenAI, Generative AI, Semantic Web, Deep Learning, Artificial Intelligence

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      B

      Board Infinity

      Machine Learning with Implementation in Java

      Skills you'll gain: Apache Spark, Deep Learning, Java Programming, Applied Machine Learning, Java, Natural Language Processing, Image Analysis, Application Deployment, Big Data, Statistical Analysis, Scalability, Data Processing, Machine Learning, Data Transformation, Data Cleansing, Text Mining, Machine Learning Algorithms, Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

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

      Pearson

      Quick Start Guide to Large Language Models (LLMs): Unit 2

      Skills you'll gain: Prompt Engineering, Large Language Modeling, OpenAI, AI Personalization, Cost Management, Performance Tuning, Generative AI, Artificial Intelligence, Applied Machine Learning, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      F

      Fred Hutchinson Cancer Center

      Making Science Reproducible - A Capstone Course

      Skills you'll gain: Version Control, Key Management, YAML

      Advanced · Course · 1 - 4 Weeks

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

      Edureka

      Natural Language Processing Essentials

      Skills you'll gain: Applied Machine Learning, Artificial Intelligence

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Getting and Cleaning Data

      Skills you'll gain: Data Manipulation, Data Cleansing, Data Wrangling, Data Integration, Data Quality, Data Transformation, Data Import/Export, Data Collection, Data Management, Web Scraping, Data Access, R Programming, Exploratory Data Analysis, MySQL, File Management, SQL, Application Programming Interface (API)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      LLM Fine-Tuning and Customization Training

      Skills you'll gain: ChatGPT, Large Language Modeling, OpenAI, Supervised Learning, PyTorch (Machine Learning Library), Tensorflow, Reinforcement Learning

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Architecting with Google Kubernetes Engine

      Skills you'll gain: Kubernetes, Identity and Access Management, Cloud-Native Computing, Google Cloud Platform, CI/CD, Containerization, Application Deployment, Cloud Management, Scalability, Cloud Computing, Cloud Infrastructure, Load Balancing, Continuous Integration, DevOps, Continuous Delivery, YAML, Data Storage, Cloud Security, Cloud Services, Application Performance Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      5.2K reviews

      Beginner · Specialization · 3 - 6 Months

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    1…575859…810

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

    • Fast Prototyping of GenAI Apps with Streamlit: DeepLearning.AI
    • Robotics Foundations I - Robot Modelling: Università di Napoli Federico II
    • Modeling, IC Processes and Emerging Microtechnology: University of Minnesota
    • Game Design: Art and Concepts: California Institute of the Arts
    • Quick Start Guide to Large Language Models (LLMs): Unit 1: Pearson
    • Machine Learning with Implementation in Java: Board Infinity
    • Quick Start Guide to Large Language Models (LLMs): Unit 2: Pearson
    • Making Science Reproducible - A Capstone Course: Fred Hutchinson Cancer Center
    • Natural Language Processing Essentials: Edureka
    • Getting and Cleaning Data: Johns Hopkins University

    Why Learn Data Engineering?

    Data engineering focuses on preparing and structuring data so it can be accessed and analyzed efficiently. It involves working with databases, cloud platforms, ETL processes, and big data tools. Learning data engineering can help you manage complex data workflows, ensure data quality, and support data-driven decision-making in tech-driven organizations.

    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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