Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
- Triple validation: technical, pedagogical, sectoral.
- Minimum rating 4.8/5 over the last 12 sessions.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning objectives
- Master the fundamentals of OpenCV for professional computer vision projects
- Develop skills in image and video processing with certified tools
- Implement basic image operations to optimize business processes
- Design Python OpenCV scripts to detect contours and simple shapes
- Set up an OpenCV development environment tailored to professional needs
- Optimize computer vision applications for rapid skill advancement
Our social commitment
A school kit donated to a child for every training
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Don't let this gap widen
Why this program matters
Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.
Organizations that don't train their talents on key topics see their competitiveness drop.
Every quarter without training is a gap widening with competitors who invest.
The cost of inaction quickly exceeds that of well-targeted training.
Program
Module 1OpenCV Fundamentals: Installation and First Images (Python, NumPy, cv2)
Complete installation of OpenCV in a Python virtual environment, hands-on with the cv2 library to load and display local images or webcam feeds, introduction to data types like NumPy matrices and RGB/HSV channels, practical exercises on basic professional image manipulation, creation of your first OpenCV script with result saving, personalized feedback from the trainer to consolidate skills from day one.
Module 2Basic OpenCV Operations: Transformations and Resizing (resize, crop, rotate)
Exploration of essential functions to resize, crop, and rotate images with OpenCV, conversion between color spaces BGR to grayscale or HSV for precise analysis, exercises on real cases like preprocessing industrial images, implementation of automated scripts for batch processing, production of testable deliverables on your own datasets, immediate valorization of skills in the workplace through interactive demos.
Module 3OpenCV Filtering: Denoising and Smoothing (blur, medianBlur, GaussianBlur)
Application of filters to denoise and improve the quality of noisy images using OpenCV kernels, comparison of smoothing methods suitable for real photos or industrial sensors, practical workshops on defect detection via adaptive thresholding, development of image-by-image processing pipelines, generation of before/after visual reports to demonstrate business impact, accelerated skill-building through timed challenges and live corrections.
Module 4OpenCV Contour Detection: Canny and Hierarchical Contours (findContours)
Mastery of the Canny algorithm to extract sharp contours from objects in complex images, use of findContours to analyze shapes and hierarchies, exercises on recognizing mechanical parts or packaging via OpenCV, polygon approximation and drawing of bounding boxes, creation of a red thread project with automated detection, expert feedback to optimize code for scalable professional applications.
Module 5OpenCV Projects: Color Detection and Basic Video (inRange, VideoCapture)
Synthesis with specific color detection via inRange masks for automated sorting, introduction to real-time video capture with VideoCapture, workshops on simple tracking of moving objects, development of a complete quality monitoring application, finalization of the certifying red thread project with scripted deployment, evaluation of acquired skills and post-training action plan for enterprise integration.
Evaluation method
- Multiple-choice quiz to validate acquired knowledge at the end of the training
- Continuous evaluation through practical OpenCV exercises
- Presentation of the red thread project to the expert trainer
Learning method
- Courses led by an active OpenCV expert trainer
- Practical exercises on real industrial vision cases
- Progressive red thread project throughout the training
- Complete course materials and source codes provided to participants
Methods, materials and delivery
The Training OpenCV - Mastering Image Processing in Python program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.
The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.
Equipment required
For the smooth delivery of the Training OpenCV - Mastering Image Processing in Python program, the following equipment is required:
- Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
- Training environments installed on workstations or accessible online
- Course materials, hands-on exercises and complementary resources
- Post-training access to materials and educational resources
For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.
* contact us for remote delivery feasibility** ratio varies depending on the program
Skills assessment methods
Assessment of skills acquired during the Training OpenCV - Mastering Image Processing in Python program is performed through:
- During training: case studies, hands-on labs and professional scenarios
- End of training: self-assessment questionnaire and skills evaluation by the trainer
- After training: completion certificate detailing acquired skills
Program accessibility
Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.
Enrollment terms and lead times
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
Our method
Training quality, guaranteed at every step
Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.
You meet the trainer beforehand
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
- Live briefing on goals and team context.
- Veto right — we swap the trainer for free if needed.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
- Hands-on cases drawn from your stack and projects.
- Program co-written then validated by your team.
Continuous quality follow-up
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
- NPS, knowledge quizzes and skills self-assessment.
- Satisfaction guarantee: fully satisfied or free rework.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
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FAQ
Frequently asked questions
How much does the Training OpenCV - Mastering Image Processing in Python training cost?+
The individual price is $5,775 (USD). The team / on-site group package is shown on the course page. A detailed quote is sent within one business day.
How long is the Training OpenCV - Mastering Image Processing in Python training?+
The training lasts 5 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Python basics (variables, loops, functions) and knowledge of matrices with NumPy
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
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