VTC Academy | Visual Understanding

Level 2 - AI Specialist

Visual Understanding

5 (6456)

Learning method: On campus

Duration: 16 weeks

Major: Artificial Intelligence

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Introduction

The Visual Understanding Course for AI Specialist provides top Deep Learning architectures, techniques, models, and algorithms for Visual Understanding, Visual Understanding Environment.

As a result, students are able to build Deep Learning models and AI applications relating to Visual Understanding.

Applicable areas of course

Medical imaging diagnosis

Support for image editing in design

Security/unlock using image processing

Image recognition and quality improvement in photography

Quality improvement of images in films

Image analysis and recognition via camera

Who can learn?

GROUP 1: People who know about python programming, linear algebra, analytics, optimization * People who have logical thinking and critical thinking *

GROUP 2: Students who have been awarded AI Practitioner certificates by VTC Academy

* Subject to the International-standards-based competency assessment of VTC Academy

Course overview

Excellent Deep Learning architecture, models and algorithms for Visual understanding (computer vision operations, multimodal data, reasoning capacities)
Various Deep Learning models for Computer vision: Vgg, Inception, u-Net/CheXNet/MrNet, resNet, DenseNet, yoLo MobileNet, shuffleNet, EffNet, etc.
Deep Learning techniques: generative Adversarial Networks (gANs), Variational Autoencoder (VAE), meta/transfer/few-shot learning, evolutionary search, Bayesopt, DeeprL, etc.
Topics of Visual Understanding: Image, object, scene, Video, Behavior, 3D, setting, Integration, etc.
Step-by-step development of Deep Learning models and AI applications

Course outcomes

Know how to build and develop different models, algorithms and ideas systematically in Deep Learning for Visual Understanding.

Have worked with multimodal data including images, videos, audios, and texts.

Can apply reasoning tools in Deep Learning networking for Visual Understanding.

Can optimize and adjust Machine Learning models based on the purpose of the implementation (Cloud, Web, Mobile, Edge devices).

Can implement new Math solutions in real applications; Design solutions using excellent algorithms; Collect, process, label, train, implement, evaluate, update Machine Learning models.

Testimonials

Mr. Nguyen Tuan Viet

"After joining the courses, I have learnt about the very important foundations of AI thanks to the lecturers’ enthusiastic support. At VTC Academy, students’ competency and progress are the main focus of the AI courses, a new field with various applicabilities and great potential for career development for students."

Mr. Nguyen Anh Huy

"The theoretical and practical contents of the AI course offered by VTC Academy are well and carefully built. The AI Practitioner course provides basic, useful, and practical knowledge of AI and helps the students quickly understand how AI is applied; so that it brings new future job opportunities for us."

Mr. Nguyen Thien Phuc

"VTC Academy lecturers and advisors, especially Mr. Ngo Quoc Hung, have profound knowledge and excellent communication abilities. The contents delivered during the course are logical, clear, and easy for students to approach and study. And there is a good balance between theoretical and practical hours. The practice lessons are detailed, understandable, and highly applicable."

Participating enterprise

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