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    • Image Processing

    Image Processing Courses Online

    Explore image processing for enhancing and analyzing images. Learn techniques like filtering, edge detection, and image transformation.

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    Explore the Image Processing Course Catalog

    • Status: New
      New
      S

      Snowflake

      Introduction to Generative AI with Snowflake

      Skills you'll gain: Prompt Engineering, Generative AI, OpenAI, ChatGPT, Large Language Modeling, Application Deployment, Unstructured Data, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Data Processing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      25 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Débuter avec ImageJ

      Skills you'll gain: Image Analysis, Data Analysis, Scientific Visualization, Data Visualization Software, Histogram, Software Installation, User Interface (UI)

      Beginner · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Process Documents with Python Using the Document AI API

      Skills you'll gain: Google Cloud Platform, Unstructured Data, Data Processing, Cloud API, Jupyter, Data Transformation, Real Time Data

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Caltech

      Getting started in cryo-EM

      Skills you'll gain: Medical Imaging, Image Analysis, Laboratory Equipment, Molecular, Cellular, and Microbiology, Biochemistry, Physics, Scientific Visualization, 3D Modeling, Mathematical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      271 reviews

      Mixed · Course · 1 - 3 Months

    • E

      EIT Digital

      Web of Data

      Skills you'll gain: Semantic Web, Query Languages, Data Management, Data Integration, Data Sharing, Data Mining, Interoperability, Extensible Markup Language (XML), Web Services, Data Modeling

      4.1
      Rating, 4.1 out of 5 stars
      ·
      91 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Geneva

      Physique des particules - une introduction

      Skills you'll gain: Physics, Engineering, Scientific, and Technical Instruments, Physical Science, Radiation Protection, Laboratory Equipment, Medical Imaging, Science and Research, Experimentation, Applied Mathematics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      83 reviews

      Intermediate · Course · 1 - 3 Months

    • L

      LearnQuest

      AI for Scientific Research

      Skills you'll gain: Feature Engineering, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Data Processing, Dimensionality Reduction, Data Cleansing, Keras (Neural Network Library), Machine Learning Algorithms, Data Transformation, NumPy, Classification And Regression Tree (CART), Tensorflow, Deep Learning, Predictive Modeling, Artificial Neural Networks

      3.2
      Rating, 3.2 out of 5 stars
      ·
      74 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      X

      Xbox

      Fundamentals of Graphic Design

      Skills you'll gain: Color Theory, Typography, Adobe Photoshop, Photo Editing, Graphic and Visual Design, Design Elements And Principles, Visual Design, Design, Game Design, Graphic Design, Creative Design

      4.3
      Rating, 4.3 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      S

      Sungkyunkwan University

      Fundamentals of CNNs and RNNs

      Skills you'll gain: Image Analysis, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Network Model, Network Architecture

      4.4
      Rating, 4.4 out of 5 stars
      ·
      34 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado System

      Relational Database Support for Data Warehouses

      Skills you'll gain: Data Warehousing, SQL, Data Governance, Data Integration, Data Management, Business Intelligence, Oracle Databases, Analytics, PostgreSQL, Data Mining, Big Data, Relational Databases, Database Management Systems, Data Storage Technologies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      591 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Assessment for Learning

      Skills you'll gain: Data Mining, Education Software and Technology, Program Evaluation, Analytics, Intelligence Collection and Analysis, Data Ethics, Predictive Modeling, Data Access, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      293 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      University of Michigan

      AI for Mechanical Engineers

      Skills you'll gain: Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Precision Medicine, Generative AI, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Energy and Utilities, Image Analysis, Computer-Aided Design, Design Thinking, Technical Design, Computer Vision, Deep Learning, Medical Imaging, Statistical Machine Learning, Reinforcement Learning, Electric Power Systems, Bioinformatics, Artificial Neural Networks

      4.2
      Rating, 4.2 out of 5 stars
      ·
      37 reviews

      Intermediate · Specialization · 1 - 3 Months

    Image Processing learners also search

    Image Analysis
    Image Classification
    Image Segmentation
    Vision
    Signal Processing
    Computer Vision
    Beginner Computer Vision
    Computer Vision Projects
    1…606162…195

    In summary, here are 10 of our most popular image processing courses

    • Introduction to Generative AI with Snowflake: Snowflake
    • Débuter avec ImageJ: Coursera Project Network
    • Process Documents with Python Using the Document AI API: Google Cloud
    • Getting started in cryo-EM: Caltech
    • Web of Data: EIT Digital
    • Physique des particules - une introduction: University of Geneva
    • AI for Scientific Research: LearnQuest
    • Fundamentals of Graphic Design: Xbox
    • Fundamentals of CNNs and RNNs: Sungkyunkwan University
    • Relational Database Support for Data Warehouses: University of Colorado System

    Skills you can learn in Algorithms

    Graphs (22)
    Mathematical Optimization (21)
    Computer Program (20)
    Data Structure (19)
    Problem Solving (19)
    Algebra (12)
    Computer Vision (10)
    Discrete Mathematics (10)
    Graph Theory (10)
    Image Processing (10)
    Linear Algebra (10)
    Reinforcement Learning (10)

    Frequently Asked Questions about Image Processing

    Image Processing is the manipulation or modification of a digitized image, especially in order to enhance its quality. It involves techniques and algorithms designed to analyze, enhance, and optimize an image’s characteristics. This can include its sharpness, contrast, and other settings which are modifiable in image-processing software.

    As more and more organizations in all sectors require a solid online presence, the need for quality images grows more important. With tools such as Photoshop, Matlab, Lightroom, and more, learners can master Image Processing to excel in artistic and scientific fields.‎

    According to ZipRecruiter, the average annual pay for an Image Processing Engineer in the United States is $148,350 per year as of May 1, 2020. Because digital images and videos are everywhere in modern times—from biomedical applications to those in consumer, industrial, and artistic sectors—learning about Image Processing can open doors to a myriad of opportunities.

    Learners interested in Image Processing can explore roles such as Software Developer, Research Scientist, Graphic Designer, Animator, Imaging Scientist, Machine Learning Researcher, Software Engineer, Algorithm Engineer, Research Engineer, and others that are related.‎

    Through Coursera, Image Processing is covered in various courses. These courses focus on the basic principles and tools used to process images and videos, and how to apply them in solving practical problems of commercial scientific interests. Learners also discover the science behind how digital images and video are made, altered, stored, and used; how computers and digital cameras form images; how digital special effects are used in movies; and more.

    Lessons that include instruction on Image Processing are taught by professors from major universities such as Northwestern University, Duke University, and others. Learners can enjoy exploring Image Processing with professors specializing in Electrical Engineering, Computer Science, and related disciplines. Course content is delivered via video lectures, readings, quizzes, and other types of assignments.‎

    Before starting to learn image processing, you need to have an understanding of the basic concepts of digital electronics. A foundational understanding of probability, calculus, and differential equations is also required, as are fundamental programming skills in any of the popular languages, such as Java, C++, Python, or MATLAB. It would also be helpful to have experience with a digital image processing software program, such as Adobe Photoshop or Affinity Designer so you're somewhat familiar with how image processing works. While it's not necessary, you may also benefit from having an understanding of signals and systems, since image processing is a subfield of these concepts. Having knowledge of how the human eye perceives images is also very helpful as you start to learn image processing.‎

    People who are best suited for roles in image processing are creative as well as analytically minded. They deal with complex concepts related to preparing, constructing, rectifying, evaluating, and manipulating images so that information can be gained from it or images can be enhanced. These professionals often work with a team of specialists that might include those in software, chemistry, mechanical design, electronics, and other industries, so they need to have good communication skills and teamwork skills.‎

    If you are an engineering or science student, a practicing scientist, or a software developer, learning image processing may be right for you so that you can use these important skills in your line of work. With image processing skills, you might be involved in capturing and analyzing images through MRI, ultrasound, X-ray, nuclear medicine, or optical imaging technologies. Or you may apply principles of engineering to develop and process images, videos, and signals for research work. You might reconstruct images from 2D to 3D or make key medical discoveries through image processing involving tumors, blood flow, or microscopic changes in the body. If any of these duties pique your interest, learning image processing may be right for you.‎

    Online Image Processing courses offer a convenient and flexible way to enhance your knowledge or learn new Image Processing skills. Choose from a wide range of Image Processing courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Image Processing, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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