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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
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Program Managers

      Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Responsible AI, Program Management, ChatGPT, Risk Management, Stakeholder Engagement, Project Management Institute (PMI) Methodology, Stakeholder Analysis, Strategic Decision-Making, Business Risk Management, Stakeholder Management, Strategic Planning, Artificial Intelligence and Machine Learning (AI/ML), Governance, Machine Learning, Virtual Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.7K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Digital Marketing

      Skills you'll gain: Responsible AI, Prompt Engineering, Prompt Patterns, Generative AI, Digital Advertising, Email Marketing, ChatGPT, Digital Marketing, Marketing Automation, AI Personalization, Advertising Campaigns, Marketing, Marketing Strategies, Content Creation, Keyword Research, Artificial Intelligence and Machine Learning (AI/ML), Social Media Marketing, Copywriting, Search Engine Optimization, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.7K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Customer Support

      Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Standard Operating Procedure, ChatGPT, Customer Support, Product Support, AI Personalization, Customer Analysis, Personalized Service, LLM Application, Artificial Intelligence and Machine Learning (AI/ML), Customer experience improvement, Data Ethics, Customer Insights, Responsible AI, Machine Learning, Virtual Environment, Automation, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.7K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Introduction to Generative AI Learning Path

      Skills you'll gain: Responsible AI, LLM Application, Prompt Patterns, Generative Model Architectures, Regulatory Compliance, AI Product Strategy, Organizational Structure, Stakeholder Management, Deep Learning, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      AWS: Feature Engineering Data Transformation & Integrity

      Skills you'll gain: Feature Engineering, AWS SageMaker, Data Cleansing, Apache Spark, Extract, Transform, Load, Data Pipelines, Data Transformation, Amazon Web Services, Responsible AI, Data Quality, Data Integrity, Data Validation, Personally Identifiable Information, Machine Learning Methods

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Business Intelligence (BI) Analysts

      Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Interactive Data Visualization, Business Intelligence, ChatGPT, Data Presentation, Infographics, Data Visualization, Dashboard, Data Storytelling, Data Visualization Software, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Large Language Modeling, SQL, Data Analysis, Responsible AI, Machine Learning, Virtual Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.7K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Generative AI for Cybersecurity Professionals

      Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Cyber Threat Intelligence, Security Information and Event Management (SIEM), ChatGPT, Threat Modeling, Threat Detection, Cybersecurity, Incident Response, Intrusion Detection and Prevention, Malware Protection, Artificial Intelligence and Machine Learning (AI/ML), Anomaly Detection, Vulnerability Management, Responsible AI, Machine Learning, Virtual Environment, Artificial Intelligence, Incident Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.7K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Mobile App Developers

      Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Large Language Modeling, Responsible AI, AI Personalization, Mobile Development, ChatGPT, Anthropic Claude, Artificial Intelligence, LLM Application, Software Development Tools, Software Testing, Apple iOS, Test Automation, AI Product Strategy, Software Development, Machine Learning Methods, DevSecOps, Artificial Intelligence and Machine Learning (AI/ML)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.8K reviews

      Advanced · Specialization · 1 - 3 Months

    • Status: Preview
      Preview
      U

      University of California, Davis

      Materials Science: 10 Things Every Engineer Should Know

      Skills you'll gain: Materials science, Semiconductors, Engineering, Mechanical Engineering, Failure Analysis, Structural Analysis, Electrical Engineering, Chemical Engineering, Thermal Management, Electronic Components, Electronics Engineering

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.5K reviews

      Mixed · Course · 1 - 3 Months

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

      Birla Institute of Technology & Science, Pilani

      Mathematics for Engineering

      Skills you'll gain: Engineering Calculations, Data Analysis, Trigonometry, Engineering Analysis, Probability & Statistics, Computational Logic, Statistical Analysis, Linear Algebra, Logical Reasoning, Deductive Reasoning, Calculus, Analytics, Bayesian Statistics, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Differential Equations, Statistical Inference, Theoretical Computer Science, Programming Principles, Descriptive Analytics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      154 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Architecting with Google Compute Engine

      Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Google Cloud Platform, Prompt Engineering, Kubernetes, Application Deployment, Cloud Storage, Containerization, Infrastructure As A Service (IaaS), Cloud Computing, CI/CD, Terraform, Cloud Computing Architecture, Cloud Security, Cloud Services, Load Balancing, Service Level Agreement, Infrastructure as Code (IaC), Virtual Machines, Microservices

      4.7
      Rating, 4.7 out of 5 stars
      ·
      58K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Software Design and Architecture

      Skills you'll gain: Software Architecture, Model View Controller, Unified Modeling Language, Object Oriented Design, Service Oriented Architecture, API Design, Systems Architecture, Web Services, Software Design Patterns, Software Design, Simple Object Access Protocol (SOAP), Microservices, Restful API, Software Design Documents, Software Visualization, Code Review, Solution Architecture, Object Oriented Programming (OOP), Software Development, Java

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4K reviews

      Beginner · Specialization · 3 - 6 Months

    Searches related to data engineering

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    1…212223…834

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

    • Generative AI for Program Managers: IBM
    • Generative AI for Digital Marketing: IBM
    • Generative AI for Customer Support: IBM
    • Introduction to Generative AI Learning Path: Google Cloud
    • AWS: Feature Engineering Data Transformation & Integrity : Whizlabs
    • Generative AI for Business Intelligence (BI) Analysts: IBM
    • IBM Generative AI for Cybersecurity Professionals: IBM
    • Generative AI for Mobile App Developers: IBM
    • Materials Science: 10 Things Every Engineer Should Know: University of California, Davis
    • Mathematics for Engineering: Birla Institute of Technology & Science, Pilani

    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

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    Google (25)
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    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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