Online or onsite, instructor-led live Computer Vision training courses demonstrate through interactive discussion and hands-on practice the basics of Computer Vision as participants step through the creation of simple Computer Vision apps.
Computer Vision training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Lubelskie onsite live Computer Vision trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Zamość
Ośrodek Sportu i Rekreacji , Królowej Jadwigi 8 , Zamość, Poland, 22-400
The training room, located in the central part of Zamość, serves as an ideal venue for workshops. Its strategic location makes it easily accessible to participants from various parts of the city and neighboring towns. Additionally, this room stands out with its rich equipment, enabling the conduct of courses in an efficient and professional manner.
Lublin
Hotel Trzy Róże, Zemborzyce Dolne 96a, Lublin, Poland, 20-515
The training rooms are equipped with modern audiovisual equipment, enabling effective presentations and interactive training sessions. Additionally, there is fast and reliable internet available, facilitating easy access to online materials and communication with the training team. The facility is located just 9 kilometers from the center of Lublin. Situated on the main S19 route towards Kraśnik, it provides convenient access from Rzeszów, Warsaw, Łódź, and Białystok. Thanks to this central location, participants can quickly and comfortably reach the training venue, further easing event organization and ensuring participant comfort.
This instructor-led, live training in lubelskie (online or onsite) is aimed at intermediate-level to advanced-level computer vision engineers, AI developers, and IoT professionals who wish to implement and optimize computer vision models for real-time processing on edge devices.
By the end of this training, participants will be able to:
Understand the fundamentals of Edge AI and its applications in computer vision.
Deploy optimized deep learning models on edge devices for real-time image and video analysis.
Use frameworks like TensorFlow Lite, OpenVINO, and NVIDIA Jetson SDK for model deployment.
Optimize AI models for performance, power efficiency, and low-latency inference.
This instructor-led, live training in lubelskie (online or onsite) is aimed at advanced-level professionals who wish to deepen their understanding of computer vision and explore TensorFlow's capabilities for developing sophisticated vision models using Google Colab.
By the end of this training, participants will be able to:
Build and train convolutional neural networks (CNNs) using TensorFlow.
Leverage Google Colab for scalable and efficient cloud-based model development.
Implement image preprocessing techniques for computer vision tasks.
Deploy computer vision models for real-world applications.
Use transfer learning to enhance the performance of CNN models.
Visualize and interpret the results of image classification models.
The CANN SDK (Compute Architecture for Neural Networks) provides powerful deployment and optimization tools for real-time AI applications in computer vision and NLP, especially on Huawei Ascend hardware.
This instructor-led, live training (online or onsite) is aimed at intermediate-level AI practitioners who wish to build, deploy, and optimize vision and language models using the CANN SDK for production use cases.
By the end of this training, participants will be able to:
Deploy and optimize CV and NLP models using CANN and AscendCL.
Use CANN tools to convert models and integrate them into live pipelines.
Optimize inference performance for tasks like detection, classification, and sentiment analysis.
Build real-time CV/NLP pipelines for edge or cloud-based deployment scenarios.
Format of the Course
Interactive lecture and demonstration.
Hands-on lab with model deployment and performance profiling.
Live pipeline design using real CV and NLP use cases.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in lubelskie (online or onsite) is aimed at intermediate-level AI developers and computer vision engineers who wish to build robust vision systems for autonomous driving applications.
By the end of this training, participants will be able to:
Understand the fundamental concepts of computer vision in autonomous vehicles.
Implement algorithms for object detection, lane detection, and semantic segmentation.
Integrate vision systems with other autonomous vehicle subsystems.
Apply deep learning techniques for advanced perception tasks.
Evaluate the performance of computer vision models in real-world scenarios.
This instructor-led, live training in lubelskie (online or onsite) is aimed at beginner-level law enforcement personnel who wish to transition from manual facial sketching to using AI tools for developing facial recognition systems.
By the end of this training, participants will be able to:
Understand the fundamentals of Artificial Intelligence and Machine Learning.
Learn the basics of digital image processing and its application in facial recognition.
Develop skills in using AI tools and frameworks to create facial recognition models.
Gain hands-on experience in creating, training, and testing facial recognition systems.
Understand ethical considerations and best practices in the use of facial recognition technology.
This instructor-led, live training in lubelskie (online or onsite) is aimed at beginner-level to intermediate-level researchers and laboratory professionals who wish to process and analyze images related to histological tissues, blood cells, algae, and other biological samples.
By the end of this training, participants will be able to:
Navigate the Fiji interface and utilize ImageJ’s core functions.
Preprocess and enhance scientific images for better analysis.
Analyze images quantitatively, including cell counting and area measurement.
Automate repetitive tasks using macros and plugins.
Customize workflows for specific image analysis needs in biological research.
This instructor-led, live training in lubelskie (online or onsite) is aimed at intermediate-level professionals who wish to use Vision Builder AI to design, implement, and optimize automated inspection systems for SMT (Surface-Mount Technology) processes.
By the end of this training, participants will be able to:
Set up and configure automated inspections using Vision Builder AI.
Acquire and preprocess high-quality images for analysis.
Implement logic-based decisions for defect detection and process validation.
Generate inspection reports and optimize system performance.
This instructor-led, live training in lubelskie (online or onsite) is aimed at intermediate to advanced-level developers, researchers, and data scientists who wish to learn how to implement real-time object detection using YOLOv7.
By the end of this training, participants will be able to:
Understand the fundamental concepts of object detection.
Install and configure YOLOv7 for object detection tasks.
Train and test custom object detection models using YOLOv7.
Integrate YOLOv7 with other computer vision frameworks and tools.
Troubleshoot common issues related to YOLOv7 implementation.
Computer Vision is a field that involves automatically extracting, analyzing, and understanding useful information from digital media. Python is a high-level programming language famous for its clear syntax and code readibility.
In this instructor-led, live training, participants will learn the basics of Computer Vision as they step through the creation of set of simple Computer Vision application using Python.
By the end of this training, participants will be able to:
Understand the basics of Computer Vision
Use Python to implement Computer Vision tasks
Build their own face, object, and motion detection systems
Audience
Python programmers interested in Computer Vision
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
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