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Image Processing Course

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Start Date: TBD
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

This course presents the theory and fundamentals of Machine Learning, as well as recommended working methods for ML.

Scientific Python Course30 academic hours

The "Scientific Python" course at RTG College is part of an advanced learning program that equips students with the necessary skills for advanced analysis of scientific data. Throughout the course, students develop proficiency in the Python programming language and practice using libraries like NumPy, Pandas, and Matplotlib for data processing and analysis. The knowledge is conveyed through hands-on projects, allowing students to apply the knowledge and develop solution-focused abilities in a practical environment. At the end of the course, students conduct in-depth analysis and present their findings in a final project. The course provides you with the tools for breakthroughs in the complex world of data analysis.

Machine Learning With Python Course50 academic hours

Python offers a wide range of libraries that can be used for Machine Learning (such as NumPy, SciPy, Matplotlib). In this course, you will learn how to implement the tools from these libraries. Using these tools, we will also implement models that were taught in previous courses.

Deep Learning with TensorFlow Course50 academic hours

Deep Neural Networks draw inspiration from the way the human brain functions and represent the most advanced subset of Artificial Intelligence. In this course, you will learn how to develop and test Deep Learning models using the TensorFlow / Keras platforms for Machine Learning and Neural Networks projects.

OpenCV (Open Source Computer Vision Library) Course40 academic hours

In this course you will learn to use Open CV. OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. It provides a wide range of tools, functions, and algorithms for tasks related to computer vision and image processing. OpenCV is widely used by researchers, developers, and engineers to develop applications that involve image and video analysis, object detection and tracking, facial recognition, augmented reality, robotics, and more. Its flexibility, efficiency, and extensive community support make it a popular choice for projects that require computer vision capabilities.

CUDA35 academic hours

The CUDA (Compute Unified Device Architecture) is a parallel computing platform and application programming interface (API) developed by NVIDIA. It allows developers to harness the power of NVIDIA GPUs (Graphics Processing Units) for general-purpose computing tasks beyond just graphics rendering. CUDA enables accelerated parallel processing by utilizing the many cores in modern GPUs to perform calculations simultaneously. This technology is especially beneficial for computationally intensive tasks such as scientific simulations, data analytics, machine learning, and deep learning, as it can significantly speed up the execution of complex computations.

Software ProgrammingCourse duration
Linux Admin Course50 academic hours

In this course, you will learn how to seamlessly operate a Linux system and techniques to maximize your utilization of Linux's capabilities. The curriculum is divided into two sections.

The first part of the course will cover installation, file management, and permissions. By the end of this part, you will be proficient in managing the system seamlessly.

In the second part of the course, you will delve into system configurations, users management, network cards, Linux kernel management, and more.

Linux is an open-source, free operating system known for its relatively high security. It provides software testers and developers with efficiency and freedom of action. The vast majority of software applications, such as servers, applications, databases, or internet services, are deployed on Linux operating systems. Therefore, it is critical for software testers to possess knowledge and experience in Linux. This course equips you precisely with such expertise.

Python Course90 academic hours

The focus is on Python 3, aiming to provide the knowledge and experience required for programming real-world applications in an object-oriented industry. You will learn how to develop software using Python. You will be taught techniques and appropriate tools to professionally develop high-level Python programs suitable for high-tech companies. This is a very practical course in which we will also be using circuit boards.

Python is currently considered one of the most popular and sought-after programming languages in the IT industry. Its popularity and widespread use in various industry projects make Python one of the most demanded programming courses. The high demand and diverse employment opportunities make Python highly beneficial to specialize in for a rewarding professional career with multiple growth opportunities.

C++ Course90 academic hours

This course will cover Object-Oriented Programming using the C++ language, emphasizing polymorphism, multiple inheritance, exceptions, and multithreading.

SQL Course30 academic hours

In this course, you will learn and practice SQL (Structured Query Language) and gain thorough familiarity with MySQL. The goal of the course is to learn how to communicate and perform various operations with the database.

Most software operates with large amounts of data in the background. Nowadays, this data can be stored in different types of databases, like MySQL or Oracle in the backend. During software testing, some of this data needs to be verified, for example, to check if the relevant data is stored correctly in the databases. Therefore, knowledge of database basics and SQL queries is essential.

In the course, we will cover topics such as SQL Formal Definitions, The Relational Model, SQL Key Notes, SQL Properties, SQL User Objective, Data Definition Language, and more.

AWS Course35 academic hours

The course is designed to help you gain a deep understanding of the architectural principles and services of Amazon Web Services (AWS). You will learn how to design and deploy AWS cloud applications using recommended best practices endorsed by Amazon.

GIT (Version Control) Course25 academic hours

Git is an open-source version control system that serves as a tool for managing code versions and the software development process. Its primary purpose is to help developers efficiently manage code and track changes in software files.

In this course, you will learn the core features of Git, workflow techniques, and methods to undo changes or maintain multiple project versions. Additionally, you'll discover how to collaborate effectively with other teams and developers. Designed for programmers seeking the best and most suitable way to manage code development versions, the course covers essential workflow principles, core features, version control, collaboration, and more.

Tuition: $17600.00 $12800.00

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

This course presents the theory and fundamentals of Machine Learning, as well as recommended working methods for ML.

Scientific Python Course30 academic hours

The "Scientific Python" course at RTG College is part of an advanced learning program that equips students with the necessary skills for advanced analysis of scientific data. Throughout the course, students develop proficiency in the Python programming language and practice using libraries like NumPy, Pandas, and Matplotlib for data processing and analysis. The knowledge is conveyed through hands-on projects, allowing students to apply the knowledge and develop solution-focused abilities in a practical environment. At the end of the course, students conduct in-depth analysis and present their findings in a final project. The course provides you with the tools for breakthroughs in the complex world of data analysis.

Machine Learning With Python Course50 academic hours

Python offers a wide range of libraries that can be used for Machine Learning (such as NumPy, SciPy, Matplotlib). In this course, you will learn how to implement the tools from these libraries. Using these tools, we will also implement models that were taught in previous courses.

Deep Learning with TensorFlow Course50 academic hours

Deep Neural Networks draw inspiration from the way the human brain functions and represent the most advanced subset of Artificial Intelligence. In this course, you will learn how to develop and test Deep Learning models using the TensorFlow / Keras platforms for Machine Learning and Neural Networks projects.

OpenCV (Open Source Computer Vision Library) Course40 academic hours

In this course you will learn to use Open CV. OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. It provides a wide range of tools, functions, and algorithms for tasks related to computer vision and image processing. OpenCV is widely used by researchers, developers, and engineers to develop applications that involve image and video analysis, object detection and tracking, facial recognition, augmented reality, robotics, and more. Its flexibility, efficiency, and extensive community support make it a popular choice for projects that require computer vision capabilities.

CUDA35 academic hours

The CUDA (Compute Unified Device Architecture) is a parallel computing platform and application programming interface (API) developed by NVIDIA. It allows developers to harness the power of NVIDIA GPUs (Graphics Processing Units) for general-purpose computing tasks beyond just graphics rendering. CUDA enables accelerated parallel processing by utilizing the many cores in modern GPUs to perform calculations simultaneously. This technology is especially beneficial for computationally intensive tasks such as scientific simulations, data analytics, machine learning, and deep learning, as it can significantly speed up the execution of complex computations.

Tuition: $9200.00

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

This course presents the theory and fundamentals of Machine Learning, as well as recommended working methods for ML.

Scientific Python Course30 academic hours

The "Scientific Python" course at RTG College is part of an advanced learning program that equips students with the necessary skills for advanced analysis of scientific data. Throughout the course, students develop proficiency in the Python programming language and practice using libraries like NumPy, Pandas, and Matplotlib for data processing and analysis. The knowledge is conveyed through hands-on projects, allowing students to apply the knowledge and develop solution-focused abilities in a practical environment. At the end of the course, students conduct in-depth analysis and present their findings in a final project. The course provides you with the tools for breakthroughs in the complex world of data analysis.

Machine Learning With Python Course50 academic hours

Python offers a wide range of libraries that can be used for Machine Learning (such as NumPy, SciPy, Matplotlib). In this course, you will learn how to implement the tools from these libraries. Using these tools, we will also implement models that were taught in previous courses.

Deep Learning with TensorFlow Course50 academic hours

Deep Neural Networks draw inspiration from the way the human brain functions and represent the most advanced subset of Artificial Intelligence. In this course, you will learn how to develop and test Deep Learning models using the TensorFlow / Keras platforms for Machine Learning and Neural Networks projects.

OpenCV (Open Source Computer Vision Library) Course40 academic hours

In this course you will learn to use Open CV. OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. It provides a wide range of tools, functions, and algorithms for tasks related to computer vision and image processing. OpenCV is widely used by researchers, developers, and engineers to develop applications that involve image and video analysis, object detection and tracking, facial recognition, augmented reality, robotics, and more. Its flexibility, efficiency, and extensive community support make it a popular choice for projects that require computer vision capabilities.

CUDA35 academic hours

The CUDA (Compute Unified Device Architecture) is a parallel computing platform and application programming interface (API) developed by NVIDIA. It allows developers to harness the power of NVIDIA GPUs (Graphics Processing Units) for general-purpose computing tasks beyond just graphics rendering. CUDA enables accelerated parallel processing by utilizing the many cores in modern GPUs to perform calculations simultaneously. This technology is especially beneficial for computationally intensive tasks such as scientific simulations, data analytics, machine learning, and deep learning, as it can significantly speed up the execution of complex computations.

Software ProgrammingCourse duration
Linux Admin Course50 academic hours

In this course, you will learn how to seamlessly operate a Linux system and techniques to maximize your utilization of Linux's capabilities. The curriculum is divided into two sections.

The first part of the course will cover installation, file management, and permissions. By the end of this part, you will be proficient in managing the system seamlessly.

In the second part of the course, you will delve into system configurations, users management, network cards, Linux kernel management, and more.

Linux is an open-source, free operating system known for its relatively high security. It provides software testers and developers with efficiency and freedom of action. The vast majority of software applications, such as servers, applications, databases, or internet services, are deployed on Linux operating systems. Therefore, it is critical for software testers to possess knowledge and experience in Linux. This course equips you precisely with such expertise.

Python Course90 academic hours

The focus is on Python 3, aiming to provide the knowledge and experience required for programming real-world applications in an object-oriented industry. You will learn how to develop software using Python. You will be taught techniques and appropriate tools to professionally develop high-level Python programs suitable for high-tech companies. This is a very practical course in which we will also be using circuit boards.

Python is currently considered one of the most popular and sought-after programming languages in the IT industry. Its popularity and widespread use in various industry projects make Python one of the most demanded programming courses. The high demand and diverse employment opportunities make Python highly beneficial to specialize in for a rewarding professional career with multiple growth opportunities.

C++ Course90 academic hours

This course will cover Object-Oriented Programming using the C++ language, emphasizing polymorphism, multiple inheritance, exceptions, and multithreading.

SQL Course30 academic hours

In this course, you will learn and practice SQL (Structured Query Language) and gain thorough familiarity with MySQL. The goal of the course is to learn how to communicate and perform various operations with the database.

Most software operates with large amounts of data in the background. Nowadays, this data can be stored in different types of databases, like MySQL or Oracle in the backend. During software testing, some of this data needs to be verified, for example, to check if the relevant data is stored correctly in the databases. Therefore, knowledge of database basics and SQL queries is essential.

In the course, we will cover topics such as SQL Formal Definitions, The Relational Model, SQL Key Notes, SQL Properties, SQL User Objective, Data Definition Language, and more.

AWS Course35 academic hours

The course is designed to help you gain a deep understanding of the architectural principles and services of Amazon Web Services (AWS). You will learn how to design and deploy AWS cloud applications using recommended best practices endorsed by Amazon.

GIT (Version Control) Course25 academic hours

Git is an open-source version control system that serves as a tool for managing code versions and the software development process. Its primary purpose is to help developers efficiently manage code and track changes in software files.

In this course, you will learn the core features of Git, workflow techniques, and methods to undo changes or maintain multiple project versions. Additionally, you'll discover how to collaborate effectively with other teams and developers. Designed for programmers seeking the best and most suitable way to manage code development versions, the course covers essential workflow principles, core features, version control, collaboration, and more.

Head of the department
teacher-image-Alex-Shoihat

Meet your instructor:

Alex Shoihat

Head of Machine Learning

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-Lina-Tomkov

Lina Tomkov
Automation course graduate

Automation Engineer, Mohican Lab

I was invited to work at the academy’s engineering department as an intern and then joined the team as an Automation engineer. I got to apply a lot of scenarios I experienced during the classes and found the hands on practice I needed
teacher-image-Dima-Solomianik

Dima Solomianik
Real Time Embedded course graduate

RT Embedded Engineer, HP

After completing the course I moved onto the job interview preparation process in which I got valuable insights about what employers search for when seeking a talent to take on the role confident in the skills and experience I gained as a student. I got 3 high tech companies getting back to me to proceed to the next level
teacher-image-Alex-K.

Alex K.
Real Time Embedded course graduate

Linux Kernel Developer

The Embedded systems course was very detailed and relevant as I got to work on actual client projects that show industry challenges. I now work as an embedded engineer and the skills I gained are directly applicable to my daily work.
teacher-image-Mia-S.

Mia S.
Cybersecurity course graduate

Incident Response Specialist

The Cybersecurity program was good and also up to date, new tools and threats I read about were given as current examples. The additional interview preparation helped me get into a the dev team I’m in now.
teacher-image-Sarah-L.

Sarah L.
Machine Learning course graduate

AI/ML developer

The Machine Learning course was super practical, from hardcore algorithms to the ethics of AI. Thanks to the professional connections I met during school got me several job offers to check right after I graduate
teacher-image-Tom-R.

Tom R.
Full Stack course graduate

Full Stack developer

I basically came as a coding newbie and found the fullstack development course structured. The project-based learning approach was particularly effective. The career support post-graduation was exceptional. I'm now employed as a junior full-stack developer at a health-tech startup, building meaningful applications.
teacher-image-James-H.

James H.
DevOps course graduate

DevOps developer, Quali

Switching to DevOps seemed stressing at the time but the course was well built to take you from start to bottom.
teacher-image-David-M.

David M.
Embedded System course graduate

Embedded System engineer

Didn’t realy know what I wanted to focus on when applied but my career advisor laid the options down so we could see what’s a good fit for me professionally. I got into the embedded system program and feel good with this path.
teacher-image-Emma-W.

Emma W.
IT course graduate

Linux Administrator, HP

The Linux course really upped my game. The labs were great, I got to see work processes you don’t get only in school.
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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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