Course Outline

To request a customized course outline for this training, please contact us.

Requirements

  • Some programming experience
  • Experience with the Linux command line

Audience

  • Developers
  • Hardware/software technicians
  • Technical persons in all industries
  • Hobbyists
  21 Hours
 

Need help picking the right course?
Call us +971 4871 6715

Testimonials

I genuinely enjoyed the hands-on approach.

Kevin De Cuyper

The easy use of the VideoCapture functionality to acquire video images from laptop camera.

- HP Printing and Computing Solutions, Sociedad Limitada Unipe

I enjoyed the advises given by the trainer about how to use the tools. This is something that can't be got from the internet and are very useful.

- HP Printing and Computing Solutions, Sociedad Limitada Unipe

I enjoyed the advises given by the trainer about how to use the tools. This is something that can't be got from the internet and are very useful.

- HP Printing and Computing Solutions, Sociedad Limitada Unipe

It was easy to follow.

- HP Printing and Computing Solutions, Sociedad Limitada Unipe

Related Courses

Deep Learning for Vision with Caffe

  21 hours
Caffe is a deep learning framework made with expression, speed, and modularity in mind. This course explores the application of Caffe as a Deep learning framework for image recognition using MNIST as an example Audience This course is
Read More...

Computer Vision with Python

  14 hours
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
Read More...

Computer Vision with SimpleCV

  14 hours
SimpleCV is an open source framework — meaning that it is a collection of libraries and software that you can use to develop vision applications. It lets you work with the images or video streams that come from webcams, Kinects, FireWire and
Read More...

Real-Time Object Detection with YOLO

  7 hours
YOLO (You Only Look Once) is an algorithm turned into pre-trained models for object detection. It is tested by the Darknet neural network framework, making it ideal for developing computer vision features based on the COCO (Common Objects in
Read More...

YOLOv7: Real-time Object Detection with Computer Vision

  21 hours
YOLOv7 is a state-of-the-art real-time object detection model for computer vision tasks.  This instructor-led, live training (online or onsite) is aimed at intermediate to advanced-level developers, researchers, and data scientists who wish
Read More...

IoT Programming with Python

  14 hours
Internet of Things (IoT) is a network infrastructure that connects physical objects and software applications wirelessly, allowing them to communicate with each other and exchange data via network communications, cloud computing, and data capture.
Read More...

Introduction to IoT Using Raspberry Pi

  14 hours
Internet of Things (IoT) is a network infrastructure that connects physical objects and software applications wirelessly, allowing them to communicate with each other and exchange data via network communications, cloud computing, and data
Read More...

Marvin Framework for Image and Video Processing

  14 hours
Marvin is an extensible, cross-platform, open-source image and video processing framework developed in Java.  Developers can use Marvin to manipulate images, extract features from images for classification tasks, generate figures
Read More...

Computer Vision with OpenCV

  28 hours
OpenCV (Open Source Computer Vision Library: http://opencv.org) is an open-source BSD-licensed library that includes several hundreds of computer vision algorithms. Audience This course is directed at engineers and architects seeking to
Read More...

Python and Deep Learning with OpenCV 4

  14 hours
OpenCV is a library of programming functions for deciphering images with computer algorithms. OpenCV 4 is the latest OpenCV release and it provides optimized modularity, updated algorithms, and more. With OpenCV 4 and Python, users will be able to
Read More...

OpenFace: Creating Facial Recognition Systems

  14 hours
OpenFace is Python and Torch based open-source, real-time facial recognition software based on Google's FaceNet research. In this instructor-led, live training, participants will learn how to use OpenFace's components to create and deploy
Read More...

Pattern Matching

  14 hours
Pattern Matching is a technique used to locate specified patterns within an image. It can be used to determine the existence of specified characteristics within a captured image, for example the expected label on a defective product in a factory
Read More...

Raspberry Pi for Beginners

  14 hours
Raspberry Pi is a very small, single-board computer. In this instructor-led, live training, participants will learn how to set up and program the Raspberry Pi to serve as an interactive and powerful embedded system. By the end of this
Read More...

Deep Learning for Self Driving Cars

  21 hours
Deep learning is a subfield of machine learning. It uses methods based on learning data representations and structures such as neural networks. Keras is a high-level neural networks API for fast development and experimentation. It runs on top of
Read More...

Hardware-Accelerated Video Analytics

  14 hours
Video analytics refers to the technology and techniques used to process a video stream. A common application would be capturing and identifying live video events through motion detection, facial recognition, crowd and vehicle counting, etc. This
Read More...