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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

    • U

      University of Colorado Boulder

      Introduction to Deep Learning

      Skills you'll gain: Deep Learning, Unsupervised Learning, Keras (Neural Network Library), Computer Vision, Image Analysis, Artificial Neural Networks, Generative AI, Natural Language Processing, Python Programming

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      31 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Deep Learning with PyTorch : GradCAM

      Skills you'll gain: PyTorch (Machine Learning Library), Heat Maps, Image Analysis, Deep Learning, Artificial Neural Networks, Computer Vision

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • D

      Duke University

      Java Programming: Build a Recommendation System

      Skills you'll gain: Software Design, Software Design Patterns, Java, Object Oriented Programming (OOP), Data Processing, UI Components, Data Analysis, Data Structures, Algorithms, Hypertext Markup Language (HTML)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      643 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Fine Tune BERT for Text Classification with TensorFlow

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Natural Language Processing, Deep Learning, Data Processing, Data Pipelines

      4.6
      Rating, 4.6 out of 5 stars
      ·
      206 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of California San Diego

      Input and Interaction

      Skills you'll gain: Human Computer Interaction, Human Factors, User Interface (UI), Usability, Interaction Design, Human Machine Interfaces, User Interface and User Experience (UI/UX) Design, User Interface (UI) Design, Prototyping

      4.6
      Rating, 4.6 out of 5 stars
      ·
      719 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      L

      Lund University

      Introduction to Particle Accelerators (NPAP MOOC)

      Skills you'll gain: Radiation Protection, Radiography, Semiconductors, Radiology, Physics, Emerging Technologies, Medical Imaging, Electrical Engineering, X-Ray Computed Tomography, Laboratory Experience, Science and Research, Simulation and Simulation Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      199 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      Securing Digital Democracy

      Skills you'll gain: Cyber Security Policies, Security Engineering, Information Systems Security, Computer Security Awareness Training, Security Awareness, Vulnerability, Policy Analysis, Political Sciences, Public Policies, Public Safety and National Security, Safety and Security, Human Factors, Human Computer Interaction, Usability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      169 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      M

      Microsoft

      Build a computer vision app with Azure Cognitive Services

      Skills you'll gain: Application Programming Interface (API), Microsoft Azure, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), User Accounts, Image Analysis, Artificial Intelligence, Cloud Solutions

      4.4
      Rating, 4.4 out of 5 stars
      ·
      283 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • I

      IE Business School

      From Brand to Image: Creating High Impact Campaigns That Tell Brand Stories

      Skills you'll gain: Production Planning, Advertising Campaigns, Advertising, Brand Strategy, Marketing Design, Branding, Creative Design, Proposal Development, Storytelling, Marketing Communications, Photography, Presentations, Brainstorming, Campaign Management, Creativity, Persona Development, Target Audience

      4.7
      Rating, 4.7 out of 5 stars
      ·
      267 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      ChatGPT Playground for Beginners: Intro to NLP AI

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, Telehealth, Patient Education And Counseling, Health Technology, Artificial Intelligence, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      65 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Build Image Quality Inspection using AWS Lookout for Vision

      Skills you'll gain: Image Analysis, Amazon Web Services, Data Processing, Computer Vision, Amazon S3, Anomaly Detection, Software Quality Assurance, Applied Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      20 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Minnesota

      Prototyping and Design

      Skills you'll gain: Prototyping, User Interface (UI) Design, Usability, Graphic and Visual Design, Web Content Accessibility Guidelines, Design, Interaction Design, Human Computer Interaction, Human Centered Design, Mockups, Wireframing, UI Components, Responsive Web Design, Internet Of Things

      4.6
      Rating, 4.6 out of 5 stars
      ·
      394 reviews

      Mixed · Course · 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…535455…195

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

    • Introduction to Deep Learning: University of Colorado Boulder
    • Deep Learning with PyTorch : GradCAM: Coursera Project Network
    • Java Programming: Build a Recommendation System: Duke University
    • Fine Tune BERT for Text Classification with TensorFlow: Coursera Project Network
    • Input and Interaction: University of California San Diego
    • Introduction to Particle Accelerators (NPAP MOOC): Lund University
    • Securing Digital Democracy: University of Michigan
    • Build a computer vision app with Azure Cognitive Services: Microsoft
    • From Brand to Image: Creating High Impact Campaigns That Tell Brand Stories: IE Business School
    • ChatGPT Playground for Beginners: Intro to NLP AI: Coursera Project Network

    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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