Computer Vision Training Course
GreyCampus Computer Vision course is developed to help learners familiarise themselves with new applications of computer vision techniques aligned with deep learning. The course covers the techniques that focus on enhancing the ability of a machine to extract information which means converting the images to textual data involving the theory following artificial systems.
TL;DR
Highly interactive Instructor-led Training
Project to get your hands dirty
Teaching assistance to support your learning journey
Course Overview
Computer Vision is an interdisciplinary field of study. This field includes methods for collecting, processing, interpreting and understanding images, and videos automatically. It deals with enabling computers to process high level and complex digital images and videos. Its principal objective is to process pictures critically the way a human eye does for various outcomes. The course provides a more in-depth understanding of the role of Convolutional Neural networks. Further, it talks about the knowledge of transfer learning, object localization, object detection, and using TensorFlow. Finally, the course talks about segmentation.
Course Curriculum
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Introduction to Computer Vision
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CNN Architectures - ResNet, Inception, MobileNet etc
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Transfer Learning
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Object Detection - Faster-RCNN
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Object Detection Architectures - SSD, YOLO
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Semantic & Instance Segmentation
What You Get
1. 21 hours spread across 7 days of highly interactive Instructor-led Training
2. A project to provide hands-on training
3. Teaching assistance to support your learning journey
4. Learn the required skills using Jupyter Notebook web application
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Course Completion Certificate from GreyCampus
Boost your career. Get certified.
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Our Course Advisors
Joe San Pietro is a Course Advisor for GreyCampus. As a corporate trainer, Joe leverages his Microsoft Certified Trainer (MCT) expertise to deliver Microsoft’s AI and data engineering courses to management teams across many sectors. Joe has also taught data science and software engineering at well-known boot camps. As a practitioner, Joe’s sweet-spot is working with companies in legacy sectors such as supply chain and distribution.
Joe is quite active in the Atlanta tech community and is a coordinator of the PyData Atlanta meetups.
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Our Course Advisors
Rajeev Kumar is a highly optimistic individual that has worked with Fortune 100 clients including Google, IBM, and Disney. With over 22 years of experience in the IT industry, Rajeev has turned his focus for the past 5 years towards Data Science and AI/ML. To this end, he has come up with Data Science and AI/ML backed solutions in various fields. His solutions have saved millions of dollars on costs to his clients.
Rajeev is committed to sharing his learnings with enterprises to build Data Science and AI capabilities for their domains to make exponential gains.
Prerequisites
The learners who are willing to take up the Computer Vision certification course must have an understanding of basic statistics, data science, and machine learning.
FAQ
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What is computer vision?
Computer vision is a field of artificial intelligence that deals with visual data. It aims to successfully recognize and classify objects or other cues from images and videos by training neural networks.
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What is the duration of this course?
21 hours spread across 7 days of highly interactive Instructor-led Training
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Does the course provide project work?
Yes, the course comes with a project for you to gain hands-on experience.