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AI-Powered Computer Vision Applications

Name: AI-Powered Computer Vision Applications
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Accelerate your Career

Learn AI-powered computer vision applications. Explore deep learning, image recognition, object detection, and real-world deployment with Python and OpenCV.

Buy this Course @

₹1,499

5 Modules

with Certifications

5:10 Hours

of Recorded Content

0 Ratings

by 0 Learners

English

Language

Paid Course

Get this Course @ ₹1,499

Name

Email ID

Phone Number

1500 enrolled in this course

Course Specifications

Sections

Lessons

Capacity

Unlimited

Duration

5:10 Hours

Students

690

Access Duration

90 Days

Created Date

2 Jun 2026

Updated Date

4 Jun 2026

About Courses Certificate Benefits Requirements Testimony Bonuses FAQs

AI-Powered Computer Vision Applications Course
Overview

This Explorer-level course focuses on developing computer vision applications that enable machines to interpret and analyze visual information. Learners will begin with computer vision fundamentals and image processing techniques, including image colorization. The course covers object detection and tracking applications using OpenCV, such as vehicle detection and color-based object tracking. Participants will also build face analytics solutions, including face detection, face recognition, face mask detection, and emotion recognition systems. Advanced modules explore smart attendance systems, image caption generation, handwritten text recognition, and optical character recognition (OCR). Through practical projects and real-world applications, learners will gain the skills needed to design and deploy AI-powered computer vision solutions across industries such as healthcare, security, transportation, and automation.

Key Features

Mentorship

Receive guidance and insights from industry experts

Hands-on Experience

Gain practical skills in a real-world cutting-edge projects.

Networking

Connect with professionals and peers in your field

Skill Development

Enhance your technical and soft skills

Career Advancement

Boost your resume with valuable experience

Dual Certificate

Get a certification to showcase your achievements

We are Accredited by

Our Awards & Achievements

AI-Powered Computer Vision Applications Course Roadmap

Module 1

Module 1 — Introduction to Computer Vision

Computer vision

Colorizing the black and white image

Module 2

Module 2 — Object Detection and Tracking

Vehicle detection and counting System using OpenCV

Object track based on color

Module 3

Module 3 — Face Analytics Applications

Face and Eye Detection using openCV

Face recognition system

Face mask detection

Face emotion recognition

Module 4

Module 4 — Real-Time Computer Vision Projects

Smart Attendance System

Module 5

Module 5 — Advanced Computer Vision Applications

Image Caption generator

Hand written text recognition

Text extraction by ocr

After this Course, You will be Able to

Grasp FPGA architecture and microcontroller workings for advanced understanding
Build circuits, ranging from basic LEDs to intricate, sensor-driven projects
Master the HDL IDE, enabling proficient coding for real-world applications
Utilize breadboards and electronic components with precision for efficient circuitry
Create groundbreaking solutions by integrating sensors and motors innovatively
Explore diverse projects, from basic LEDs to complex motion-activated systems

Where Our Students Work

Our alumni are driving innovation at the world's most prestigious technology companies.

Learners Reviews

Aditi Sharma

The step by step approach from basics to real time FPGA projects made the concepts crystal clear. I especially loved the UART implementation—it gave me confidence to handle hardware communication protocols.

Rahul

This course bridges the gap between theory and practice. Programming the MAX10 FPGA board and controlling GPIOs gave me the kind of exposure that’s directly useful for internships and entry level roles in VLSI design.

Priya Nair

I came in with only basic digital electronics knowledge. The way Verilog was introduced and gradually applied to sequential circuits and FSMs was perfect. By the end, I could write and test my own HDL codes on Quartus.

Still Having Doubts?

1. Do I need prior experience?

No prior experience is required for foundational modules. Advanced topics may recommend basic knowledge in programming or electronics.

2. What if I face technical issues?

You can reach our support team at training@pantechelearning.com or call +91 89255 334 88 / 89.

3. What will I learn in this course?

You’ll cover: Deep learning foundations for computer vision Image recognition and classification techniques Object detection using Python and OpenCV Real-world deployment strategies for AI models Hands-on projects to apply concepts in practice

4. How long is the course?

The program includes 5 structured modules, designed to be completed at your own pace, typically within 4–6 weeks.

5. Will I get a certificate?

Yes, upon completion you’ll receive a verified certification from Pantech eLearning, which can be shared on LinkedIn and with employers.

6. What is the course fee?

The AI-Powered Computer Vision Applications course is available for ₹1,499, inclusive of all modules and certification.

7. Is there any project work included?

Yes, you’ll apply your skills in a guided computer vision project, such as image recognition or object detection, to reinforce concepts and demonstrate practical learning outcomes.

8. Can I access the course materials anytime?

Absolutely. Once enrolled, you’ll have lifetime access to the course videos, notes, and resources.