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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

    • J

      Johns Hopkins University

      Introduction to Parallel Programming with CUDA

      Skills you'll gain: Performance Tuning, OS Process Management, Data Structures, Performance Testing, Distributed Computing, System Programming, Data Access, Hardware Architecture, C (Programming Language), C++ (Programming Language), Algorithms, Computer Architecture, Data Storage, Development Environment, Program Development, Debugging

      2.7
      Rating, 2.7 out of 5 stars
      ·
      46 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado System

      Business Intelligence Concepts, Tools, and Applications

      Skills you'll gain: Decision Support Systems, Business Intelligence, Data Warehousing, Business Process Management, Data Visualization Software, Performance Measurement, Business Analytics, MicroStrategy, Dashboard, Descriptive Analytics, Key Performance Indicators (KPIs), Analytics, Data-Driven Decision-Making, Competitive Intelligence, Business Reporting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      638 reviews

      Mixed · Course · 1 - 3 Months

    • L

      LearnQuest

      Key Technologies in Data Analytics

      Skills you'll gain: Data Warehousing, Data Visualization, Data Analysis, Cloud Computing, Data Architecture, Big Data, Cloud Services, Analytics, Data Storage, Cloud Computing Architecture, Cloud Infrastructure, Cloud Solutions, Scalability, Data Processing, Extract, Transform, Load, Cloud Platforms, Statistical Analysis, Data Integration, Data Mining, Spreadsheet Software

      3.7
      Rating, 3.7 out of 5 stars
      ·
      143 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Washington

      Data Manipulation at Scale: Systems and Algorithms

      Skills you'll gain: Big Data, Relational Databases, Database Systems, Dataflow, Data Science, Data Manipulation, Data Processing, NoSQL, Apache Spark, Analytics, Distributed Computing, Apache Hadoop, SQL, Data Analysis, Query Languages, Cloud Computing, Scalability, Graph Theory, Algorithms

      4.3
      Rating, 4.3 out of 5 stars
      ·
      767 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Deep Learning for Healthcare

      Skills you'll gain: Deep Learning, Health Informatics, Generative AI, Image Analysis, Machine Learning, Keras (Neural Network Library), Applied Machine Learning, Health Care, Artificial Neural Networks, Supervised Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, PyTorch (Machine Learning Library), Graph Theory, Computer Vision, Network Analysis, Machine Learning Software, Unsupervised Learning, Program Development

      3.1
      Rating, 3.1 out of 5 stars
      ·
      44 reviews

      Advanced · Specialization · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for UX Designers

      Skills you'll gain: User Experience Design, User Research, Wireframing, UI/UX Strategy, User Centered Design, Adobe XD, Usability Testing, Generative AI, Figma (Design Software), Human Computer Interaction, Design Thinking, Prototyping, User Interface (UI) Design, Artificial Intelligence, Persona Development

      4.3
      Rating, 4.3 out of 5 stars
      ·
      67 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      I

      IBM

      Machine Learning with Apache Spark

      Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Extract, Transform, Load, Predictive Modeling, Classification And Regression Tree (CART), Data Transformation, Regression Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      97 reviews

      Intermediate · Course · 1 - 4 Weeks

    • A

      Amazon

      Data Structures and Algorithms

      Skills you'll gain: JUnit, Test Driven Development (TDD), Version Control, Git (Version Control System), GitHub, Performance Tuning, Unit Testing, Data Structures, Development Testing, Algorithms, Program Development, Software Testing, Java, Computer Programming, Programming Principles, Debugging, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      25 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Splunk Inc.

      Splunk Search Expert 101

      Skills you'll gain: Splunk, Data Visualization Software, Dashboard, Security Information and Event Management (SIEM), Ad Hoc Reporting, Exploratory Data Analysis, Data Processing, Query Languages, Analysis, Incident Response, Business Process Automation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      211 reviews

      Beginner · Course · 1 - 3 Months

    • S

      SAS

      Machine Learning Using SAS Viya

      Skills you'll gain: Supervised Learning, Decision Tree Learning, Applied Machine Learning, Data Processing, Predictive Modeling, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Artificial Neural Networks, Performance Tuning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      101 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of California, Davis

      Introduction to Process Safety and Risk Analysis

      Skills you'll gain: Chemical Engineering, Process Engineering, Safety Assurance, Risk Management, Failure Analysis, Accident Prevention, Risk Analysis, Reliability, Process Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      133 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Washington

      Data Science at Scale

      Skills you'll gain: Feature Engineering, Unsupervised Learning, Data Ethics, Statistical Visualization, Data Storytelling, Big Data, Relational Databases, Supervised Learning, Database Systems, Dataflow, Data Visualization Software, Data Science, Statistical Machine Learning, Predictive Analytics, Advanced Analytics, Data Governance, Data Analysis, Predictive Modeling, Data Processing, Data Wrangling

      4.2
      Rating, 4.2 out of 5 stars
      ·
      915 reviews

      Intermediate · Specialization · 3 - 6 Months

    Image Processing learners also search

    Image Analysis
    Image Classification
    Image Segmentation
    Vision
    Signal Processing
    Computer Vision
    Beginner Computer Vision
    Computer Vision Projects
    1…575859…195

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

    • Introduction to Parallel Programming with CUDA: Johns Hopkins University
    • Business Intelligence Concepts, Tools, and Applications: University of Colorado System
    • Key Technologies in Data Analytics: LearnQuest
    • Data Manipulation at Scale: Systems and Algorithms: University of Washington
    • Deep Learning for Healthcare: University of Illinois Urbana-Champaign
    • GenAI for UX Designers: Coursera Instructor Network
    • Machine Learning with Apache Spark: IBM
    • Data Structures and Algorithms: Amazon
    • Splunk Search Expert 101: Splunk Inc.
    • Machine Learning Using SAS Viya: SAS

    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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