Computer Vision Professional Certificate

12
Mar
- AI School
- 5645 (Registered)
1.Learning Methodology
- Instructor-Led Classroom Training (ILT).
2.Prerequisites:
- Deep Learning Specialist Certificate
3.Training Program Description:
- In this program, you’ll learn the underlying math and programming concepts that
drive pattern recognition, object and image classification tasks, and object tracking systems. This program will cover the latest in deep learning architectures used in industry, and you’ll combine current computer vision and deep learning techniques to power a variety of applications. With the practical skills you gain in this course, you’ll be able to program your own applications, extract information from any kind of image and spatial data and solve real-world challenges. - This program is designed to enhance your existing machine learning and deep learning skills with the addition of computer vision theory and programming techniques. These computer vision skills can be applied to various applications such as image and video processing, autonomous vehicle navigation, medical diagnostics, smartphone apps, and much more. it will grow your deep learning and computer vision expertise and give you the skills you need to start applying computer vision techniques to real-world challenges and applications
- Duration of Program: 5 weeks
4.Projects
- This program is comprised of many career-oriented projects. Each project you build will be an opportunity to demonstrate what you’ve learned in the lessons. Your completed projects will become part of a career portfolio that will demonstrate to potential employers that you have skills in data analysis and feature engineering, machine learning algorithms, and training and evaluating models.
- One of our main goals at EAII is to help you create a job-ready portfolio of completed projects. Building a project is one of the best ways to test the skills you’ve acquired and to demonstrate your newfound abilities to future employers or colleagues. Throughout this program, you’ll have the opportunity to prove your skills by building the following projects
- Building a project is one of the best ways both to test the skills you’ve acquired and to demonstrate your newfound abilities to future employers. Throughout this program, you’ll have the opportunity to prove your skills by building the following projects:
- Project 1: Generate Faces
- Project 2: Facial KeyPoint Detection
- Project 3: Automatic Image Captioning
- Project 4: Landmark Detection and Tracking
- Capstone Project
5.Training Program Curriculum:
I-Computer Vision Topics
- Introduction to Computer Vision
- INTRODUCTION TO COMPUTER VISION
- IMAGE REPRESENTATION AND ANALYSIS
- CONVOLUTIONAL NN LAYERS
- FEATURES AND OBJECT RECOGNITION
- IMAGE SEGMENTATION
- Advanced Computer Vision and Deep Learning
- ADVANCED CNN ARCHITECTURES
- RECURRENT NEURAL NETWORKS
- ATTENTION MECHANISMS
- IMAGE CAPTIONING
- Object Tracking and Localization
- OBJECT MOTION AND TRACKING
- OPTICAL FLOW AND FEATURE MATCHING
- ROBOT LOCALIZATION
- GRAPH SLAM
Course Content
Time: 5 weeks
Curriculum is empty