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Image Processing Course

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Start Date: 12/27
Academic Timeline: 550 hours | 13 months
Campus: Live online learning model
Meetings Per Week: 2-3
Rating: 4.8

In recent years, the field of digital image processing has undergone significant development due to a wide range of digital products that have been developed and are being extensively used by numerous companies and organizations.
Our Image Processing Course Online is experiencing rapid development and growth due to the significance and wide variety of products in the field. Join the professional and comprehensive Image Processing program at Real Time College!

In response to the demand and need, tech companies are investing significant resources to enhance their capabilities in the field of image processing. The demand for skilled and professional image processing developers is at its peak and is expected to further increase in the coming years.

What Is Image Processing? 

Image processing is a way to convert an image into a numerical form and apply specific functions to it in order to obtain an enhanced image and extract useful information for the desired purpose.

In image processing, various operations can be performed. All these operations can assist us in analyzing the information and, accordingly, calculating positions, conducting quality tests for digital products (and other products), and essentially embedding automation and artificial intelligence in almost any selected element.

There are different stages involved in image processing, including importing the image through an optical scanner or a digital camera, analyzing and treating the image, and drawing conclusions accordingly. Moreover, during the course of this program, we will work with common tools such as the NumPy, Pandas, Matplotlib, and OpenCV libraries.

What does the role of an Image Processing professional include?

Image Processing professionals develop methods for identifying elements in images and deriving desired insights sought after by technology and IT companies.

Image Processing professionals can perform a wide range of actions on any image file they wish to modify. Through image processing, they can remove noise, objects, and any details that interfere with the desired image.

An Image Processing professional significantly enhances and sharpens the quality of an image file, pastes and adds parts from other images, and can also automatically extract entities from the image.

To perform image analysis, image enhancement, noise reduction, geometric shape changes, image registration, and three-dimensional image processing, image processing toolbox applications allow you to automate common image processing workflows.

Why Study Image Processing Course at Real Time College

In the Image Processing course, we will learn about practices, methods, innovative approaches, and algorithms for image processing, image restoration, and image analysis. The curriculum of the Image Processing Course Online at Real Time incorporates comprehensive theoretical knowledge and practical exercises.

The lessons in the course focus on the practical knowledge and skills required for the field, and they have been developed in collaboration with technology companies in the industry. The content is continuously updated based on ongoing projects in our development division.

Why Study Image Processing at Embedded Academy

private lessons
repeat course
project development
placement
tuition
recorded lessons
private lessons

Who is the Image Processing Course for?

  • System programmers or engineers studying ML.
  • Students interested in specializing in data analysis, business intelligence, or data science.
  • Students interested in specializing in computer vision.
private lessons

Admission Requirements

  • Basic computer skills (Windows OS).
  • Basic knowledge in mathematics.
  • No previous programming experience is required.

Image Processing Curriculum

Full Track
Standard Track
Self-Designed Track

Image Processing Track: From Novice to Expert

Launch your career in Image Processing with our most comprehensive educational track. This program is meticulously designed to provide you with an all-encompassing understanding of the field, ensuring you achieve the highest level of expertise.
Key Features:

  • Holistic Learning: Engage with all modules, gaining a thorough and well-rounded proficiency in Image Processing .
  • Beginner-Friendly: Tailored for newcomers with little to no prior experience, providing a supportive environment for those taking their first steps into this dynamic field.
  • In-Depth Immersion: Dive deep into the subject matter over a 9 to 12-month period, allowing ample time for concept absorption and practical application.
  • Extensive Curriculum: Benefit from an impressive 550 academic hours of instruction, covering a wide array of essential topics and cutting-edge techniques.

This track is your gateway to becoming a proficient Image Processing expert, equipping you with the knowledge, skills, and hands-on experience needed to excel in this rapidly evolving and in-demand area of technology.

Image Processing / Cv CoursesCourse duration
Machine Learning Fundamentals Course25 academic hours
Machine Learning can adapt its behavior based on past programming activity and feedback. This course introduces ML theory and foundations as well as best practices.
Scientific Python Course30 academic hours
Python offers a wide range of libraries used for ML (NumPy, SciPy, Matplotlib, Pandas, etc.) The course teaches how to use these libraries and simplifies the developer's ability to write advanced and reliable code
Machine Learning With Python Course50 academic hours
Learn how to apply ML Fundamental models using libraries and Python programming language tools.
Deep Learning with TensorFlow Course50 academic hours
Deep Learning / Deep Neural Networks is considered the most advanced subset of artificial intelligence as it mimics how the human brain works. Here you'll learn how to develop and test Deep Learning models using TensorFlow API.
OpenCV Course40 academic hours
Master computer vision and image processing using OpenCV library for real-world visual applications.
CUDA35 academic hours
Learn parallel computing and GPU programming using NVIDIA's CUDA framework for high-performance applications.
Software ProgrammingCourse duration
Linux Admin Course50 academic hours
Master Linux system administration, from basic commands to advanced system management, security, and networking.
Python Course90 academic hours
Focusing on Python 3, you’ll learn to program object-oriented, real-industry applications.
C++ Course90 academic hours
Learn modern C++ programming, from object-oriented principles to advanced features for efficient software development.
SQL Course30 academic hours
SQL is a special-purpose programming language designed for managing data in a relational database. Learn how to use SQL to store, query, and manipulate data.
AWS Course35 academic hours
Gain an in-depth understanding of Amazon Web Services architectural principles and services, design and scale AWS Cloud implementations with best practices recommended by Amazon.
GIT (Version Control) Course25 academic hours
Learn Git’s core features and workflow, different ways to undo changes or save multiple versions, and collaborate with other teams and developers.

Tuition
$12,800 $22,890

Image Processing Specialist Track

Elevate your software development expertise with our focused Image Processing program. This track is carefully crafted for professionals with prior experience in software and application development, aiming to sharpen your skills in this specialized domain.
Key Features:

  • Targeted Curriculum: Concentrate solely on modules directly relevant to Image Processing , ensuring efficient and applicable learning.
  • Accelerated Learning: Designed for experienced developers, this condensed track spans 6 to 7 months, allowing you to augment your existing skill set quickly.
  • Intensive Study: Engage in 230 academic hours of specialized instruction, delving deep into the intricacies of Image Processing .

This track offers a streamlined path to mastering Image Processing , ideal for seasoned developers looking to expand their expertise or pivot into this high-demand field. Gain the specific knowledge and skills needed to excel in Image Processing development and stand out in the competitive tech industry.

Image Processing / Cv CoursesCourse duration
Machine Learning Fundamentals Course25 academic hours
Machine Learning can adapt its behavior based on past programming activity and feedback. This course introduces ML theory and foundations as well as best practices.
Scientific Python Course30 academic hours
Python offers a wide range of libraries used for ML (NumPy, SciPy, Matplotlib, Pandas, etc.) The course teaches how to use these libraries and simplifies the developer's ability to write advanced and reliable code
Machine Learning With Python Course50 academic hours
Learn how to apply ML Fundamental models using libraries and Python programming language tools.
Deep Learning with TensorFlow Course50 academic hours
Deep Learning / Deep Neural Networks is considered the most advanced subset of artificial intelligence as it mimics how the human brain works. Here you'll learn how to develop and test Deep Learning models using TensorFlow API.
OpenCV Course40 academic hours
Master computer vision and image processing using OpenCV library for real-world visual applications.
CUDA35 academic hours
Learn parallel computing and GPU programming using NVIDIA's CUDA framework for high-performance applications.

Tuition: $8881.00

Customizable Image Processing Expertise Track

Tailor your tech education with our flexible, modular program. This track allows you to focus on specific areas of interest, creating a personalized learning journey.
Key Features:

  • Customized Learning: Select only the courses and content you need.
  • Experience-Based: Ideal for students with prior field experience.
  • Flexible Duration: Complete in 1 to 3 months, based on your course selection.
Image Processing / Cv CoursesCourse duration
Machine Learning Fundamentals Course25 academic hours
Machine Learning can adapt its behavior based on past programming activity and feedback. This course introduces ML theory and foundations as well as best practices.
Scientific Python Course30 academic hours
Python offers a wide range of libraries used for ML (NumPy, SciPy, Matplotlib, Pandas, etc.) The course teaches how to use these libraries and simplifies the developer's ability to write advanced and reliable code
Machine Learning With Python Course50 academic hours
Learn how to apply ML Fundamental models using libraries and Python programming language tools.
Deep Learning with TensorFlow Course50 academic hours
Deep Learning / Deep Neural Networks is considered the most advanced subset of artificial intelligence as it mimics how the human brain works. Here you'll learn how to develop and test Deep Learning models using TensorFlow API.
OpenCV Course40 academic hours
Master computer vision and image processing using OpenCV library for real-world visual applications.
CUDA35 academic hours
Learn parallel computing and GPU programming using NVIDIA's CUDA framework for high-performance applications.
Software ProgrammingCourse duration
Linux Admin Course50 academic hours
Master Linux system administration, from basic commands to advanced system management, security, and networking.
Python Course90 academic hours
Focusing on Python 3, you’ll learn to program object-oriented, real-industry applications.
C++ Course90 academic hours
Learn modern C++ programming, from object-oriented principles to advanced features for efficient software development.
SQL Course30 academic hours
SQL is a special-purpose programming language designed for managing data in a relational database. Learn how to use SQL to store, query, and manipulate data.
AWS Course35 academic hours
Gain an in-depth understanding of Amazon Web Services architectural principles and services, design and scale AWS Cloud implementations with best practices recommended by Amazon.
GIT (Version Control) Course25 academic hours
Learn Git’s core features and workflow, different ways to undo changes or save multiple versions, and collaborate with other teams and developers.

Tuition

Payment Plans

As Low As

$330/Month

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Head of the department
teacher-image-Alex-Shoihat

Meet your instructor

Alex Shoihat

Head of Machine Learning Departments

Alex holds a B.Sc. in Information Systems and an M.A. in Electrical and Electronic Engineering.

As a Machine Learning Engineer at Embedded Academy, Alex specializes in the field of artificial intelligence, applying over 13 years of experience in project development, management, and transitioning from development to production in various domains such as Linux Embedded.

Throughout his career, Alex developed his expertise working with the integration of Machine Learning and Deep Learning in the Computer Vision and Data Analysis field.

Image Processing Certification

Certification

Requirements for eligibility for the certificate:

  • Participation in at least 80% of the course hours
  • Submission of a final project / final exam with a score of 70 and above
  • Obligation to submit course assignments, including exercises, homework, and projects

Upon successful completion of the Image Processing program, you will be awarded a Image Processing Certificate by RTG. This certificate will attest to your high level of knowledge and professionalism.

Career Advisory

As part of the professional experience each graduate undergoes we help in integrating them into the high-tech world through our job search assistance, personalized resume building, and placement in a technology company.

1

Curriculum customization

We'll help you choose and structure the right program most suitable for your needs and career aspirations.

Curriculum customization

2

Tech Training

Students who start with no prior knowledge of the field will receive the fundamentals required to complete the course.

Tech Training

3

Final Project

Working on your course project and internship with experienced developers.

Final Project

4

Internship

Get real-world experience adapted to industry standards and requirements with our team of industry-leading engineers.

Internship

5

Job Interview

Graduates get resume-building assistance, interview simulations and career guidance.

Job Interview

What do our graduates say?

teacher-image-Paul-N.

Paul N.
Machine Learning course graduate

Machine Learning Engineer

I was initially intimidated by the prospect of learning AI and machine learning because I thought I didn’t have enough mathematical knowledge, but throughout the course my instructor made sure I wouldn’t follow behind. It made a huge difference from other times I experienced with online courses.
teacher-image-Howard-E.

Howard E.
AI course graduate

AI Product Manager

As a business leader, the AI/ML program has been instrumental in helping me identify opportunities to leverage intelligent technologies. I've been able to upskill my team and implement data-driven strategies that have given us a significant competitive advantage in the market.
teacher-image-Greg-B.

Greg B.
Machine Learning course graduate

Robotics and Automation Specialist

I was impressed by the breadth and depth of the AI/ML curriculum. The hands-on projects, mentorship from industry experts, and exposure to real-world case studies have given me the confidence to apply advanced machine learning methodologies to solve real-world problems.
teacher-image-Leonard-H.

Leonard H.
AI course graduate

Natural Language Processing (NLP) Specialist

As someone with a background in data analysis, the AI/ML course provided me with the selected skills to take my career forward. I'm now fluent in building and deploying sustainable predictive models that drive strategic decision-making paths.
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FAQ

What are the admission requirements for the Image Processing program?

1. University/college graduates with degrees in science who are interested in specializing in the field or as part of the Artificial Intelligence program.
2. Knowledge and experience in operating systems such as Windows and Linux — an advantage.
3. Background and/or experience in programming languages — an advantage.

* Candidate acceptance will be subject to a professional knowledge interview + an exam.

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What jobs and roles exist in the image processing field?

Some potential roles in image processing include:
1. Image Processing Engineer/Scientist: Working on developing and implementing image processing algorithms for various applications such as medical imaging, computer vision, remote sensing, and more.
2. Computer Vision Engineer: Focusing on developing algorithms and technologies that allow computers to understand and interpret visual information from the world, used in applications like facial recognition, object detection, autonomous vehicles, and augmented reality.
3. Data Scientist/Analyst with Image Analysis: Utilizing image processing techniques to extract insights from visual data, contributing to projects involving image-based data analysis and interpretation.
4. Machine Learning Engineer: Combining image processing skills with machine learning techniques to build models that can learn patterns and features from images for predictive analysis and decision-making.

These are just a few examples, as the application of image processing techniques extends to a wide range of fields and industries, reflecting the increasing demand for professionals in this area.

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Are there homework assignments, exams, or projects?

We are aware that the path to a successful career in the field involves practice, building a portfolio, and gaining relevant industry experience. Real Time College uniquely provides extensive experience and real project development from the high-tech market, ensuring that our students graduate with comprehensive and relevant knowledge, coupled with practical experience rather than just theoretical understanding.

Based on our experience in recruitment and project development activities, we know precisely what tech companies require and expect from new employees in their ranks. Accordingly, the curriculum is designed to include the practical aspect of the program.

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Where do classes in the Image Processing program take place?

Currently, all classes in the Image Processing program take place online.

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