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Training OpenCV - Getting Started with Computer Vision using Python

Ref: THS178
10 people max.
From $3,465 HT / per person
Group rate: $8,663 (team / on-site)
Pay in 3 installments · On-site on request · +$540 with certification exam
3 days
Remote

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Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft

Learning objectives

  • Master the installation and fundamentals of OpenCV in certified professional training.
  • Develop essential image processing skills for business applications.
  • Implement contour and object detection techniques with beginner-level OpenCV.
  • Set up simple OCR solutions tailored to daily professional needs.
  • Optimize Python scripts for computer vision in a certified context.
  • Apply OpenCV in real projects to strengthen business skills.
  • Build an accessible certified skills portfolio in artificial vision.

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.

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1OpenCV Basics: Installation, Image Loading, and Essential Transformations (Python, NumPy, Matplotlib)

Discover OpenCV installation via pip and conda in a dedicated virtual environment, load your first images with cv2.imread to explore pixels and RGB channels, apply transformations like resizing, rotation, and Gaussian filtering via cv2.resize and cv2.GaussianBlur, practice on real industrial image datasets to visualize results with Matplotlib, build your first modular reusable scripts, test common errors and interactive live coding debugging, obtain deliverables like a complete Jupyter notebook with 10 corrected exercises ready for professional portfolio.

Module 2OpenCV Detection: Contours, Shapes, and Basic Objects (Canny, Hough, Thresholding)

Dive into contour detection with the Canny operator and adaptive thresholding cv2.threshold to isolate objects on noisy images, identify geometric shapes via Hough transform cv2.HoughLines for lines and circles, segment regions of interest by erosion and dilation with cv2.morphologyEx, apply to concrete cases like product quality inspection or vehicle detection, chain pair practical activities to analyze real-time videos via cv2.VideoCapture, optimize performance with binary masks, produce deliverables including automated detection scripts and visual analysis reports exportable to PDF.

Module 3OpenCV Applications: OCR, Integrated Projects, and Beginner Deployment (Tesseract, Streaming)

Integrate OCR with pytesseract to extract text from images and scanned documents via cv2 and dedicated preprocessing like denoising and binarization, build a complete project for license plate recognition or automated invoices, implement video streaming for live detection with callbacks and threading, deploy simple web applications via Flask integrating OpenCV backend, test on varied datasets including real challenges like variable lighting, finalize with memory optimization and basic Docker packaging, retrieve final certified portfolio with source code, demo videos, and operation guide for immediate business use.

Evaluation method

  • Interactive quizzes at the end of each day on key OpenCV concepts with immediate feedback.
  • Practical projects evaluated by certified trainers based on professional criteria.
  • Final exam in the form of a real-time coding challenge, graded and certified.

Learning method

  • Hands-on method with 70% practice on real code and authentic datasets.
  • Interactive live remote sessions via Zoom with screen sharing and breakout rooms.
  • Unlimited video replay resources and downloadable PDF supports post-training.
  • Personalized mentoring in small groups of max 10 for in-depth questions.

Methods, materials and delivery

The Training OpenCV - Getting Started with Computer Vision using 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 - Getting Started with Computer Vision using 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 - Getting Started with Computer Vision using 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.

Step 1

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.
Step 2

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.
Step 3

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.
Step 4

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.

FAQ

Frequently asked questions

How much does the Training OpenCV - Getting Started with Computer Vision using Python training cost?+
The individual price is $3,465, and the team / on-site price is $8,663 (USD). A detailed quote is sent within one business day.
How long is the Training OpenCV - Getting Started with Computer Vision using Python training?+
The training lasts 3 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?+
Basic knowledge of Python programming, familiarity with development environments like Jupyter Notebook, regular use of a computer to install libraries.
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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