AI

AI

OpenCV

OpenCV

CNN

CNN

⚡Intermediate

⚡Intermediate

Computer Vision with OpenCV & CNNs

Computer Vision with OpenCV & CNNs

Computer Vision with OpenCV & CNNs

Master computer vision in 40 hours — process images with OpenCV, build CNN-based models, and develop real-world visual recognition applications.

Master computer vision in 40 hours — process images with OpenCV, build CNN-based models, and develop real-world visual recognition applications.

Master computer vision in 40 hours — process images with OpenCV, build CNN-based models, and develop real-world visual recognition applications.

HURRY ONLY 10 SEATS LEFT

HURRY ONLY 10 SEATS LEFT

HURRY ONLY 10 SEATS LEFT

17,999

17,999

17,999

20,999

20,999

20,999

14

14

14

% OFF

% OFF

% OFF

New Batch Starts on

New Batch Starts on

July 1, 2025

July 1, 2025

Limited seats only

Limited seats only

20 Students

20 Students

Course Duration

Course Duration

40 Hours

40 Hours

Registration Closes

Registration Closes

June 25, 2025

June 25, 2025

June 25, 2025

Course Overview

Course Overview

A 40-hour practical course designed to teach computer vision using OpenCV for image processing and Convolutional Neural Networks (CNNs) for deep learning-based visual recognition. Learn to work with real-world visual datasets, build classification and object detection models, and deploy them in production.

A 40-hour practical course designed to teach computer vision using OpenCV for image processing and Convolutional Neural Networks (CNNs) for deep learning-based visual recognition. Learn to work with real-world visual datasets, build classification and object detection models, and deploy them in production.

What will be learned

What will be learned

Understand image processing fundamentals with OpenCV

Understand image processing fundamentals with OpenCV

Preprocess and augment images for machine learning models

Preprocess and augment images for machine learning models

Build and train CNNs for image classification and object detection

Build and train CNNs for image classification and object detection

Work with pre-trained models like VGG16, ResNet, and MobileNet

Work with pre-trained models like VGG16, ResNet, and MobileNet

Implement real-time image and video processing

Implement real-time image and video processing

Deploy computer vision models for real-world applications

Deploy computer vision models for real-world applications

Meet the Mentor!

Deepak Surya

CEO at Wiates

Chennai, TN

English, Tamil

5.0

Fast and consistent responses

About Me

Hi, I’m a certified AWS Cloud Engineer with over 14 years of experience . As your mentor, my goal is to simplify cloud concepts and guide you step-by-step through real-world AWS scenarios. Whether you're just starting out or aiming to build a cloud career, I’m here to share the best practices, tools, and hands-on tips that have helped me in the field. Let’s dive into AWS — one service at a time!

Meet the Mentor!

Deepak Surya

CEO at Wiates

Chennai, TN

English, Tamil

5.0

Fast and consistent responses

About Me

Hi, I’m a certified AWS Cloud Engineer with over 14 years of experience . As your mentor, my goal is to simplify cloud concepts and guide you step-by-step through real-world AWS scenarios. Whether you're just starting out or aiming to build a cloud career, I’m here to share the best practices, tools, and hands-on tips that have helped me in the field. Let’s dive into AWS — one service at a time!

Meet the Mentor!

Deepak Surya

CEO at Wiates

Chennai, TN

English, Tamil

5.0

Fast and consistent responses

About Me

Hi, I’m a certified AWS Cloud Engineer with over 14 years of experience . As your mentor, my goal is to simplify cloud concepts and guide you step-by-step through real-world AWS scenarios. Whether you're just starting out or aiming to build a cloud career, I’m here to share the best practices, tools, and hands-on tips that have helped me in the field. Let’s dive into AWS — one service at a time!

Tech Career Program Highlights

Tech Career Program Highlights

Tech Career Program Highlights

Work confidently with OpenCV for image processing

Work confidently with OpenCV for image processing

Extract and preprocess features for machine learning models

Extract and preprocess features for machine learning models

Build CNN-based image classification and object detection models

Build CNN-based image classification and object detection models

Use transfer learning for faster and more accurate results

Use transfer learning for faster and more accurate results

Process real-time image and video streams for practical applications

Process real-time image and video streams for practical applications

Syllabus Overview

Syllabus Overview

Syllabus Overview

Week 1

Introduction to Computer Vision & OpenCV

Week 1

Introduction to Computer Vision & OpenCV

Week 1

Introduction to Computer Vision & OpenCV

Week 2

Advanced Image Processing & Feature Extraction

Week 2

Advanced Image Processing & Feature Extraction

Week 2

Advanced Image Processing & Feature Extraction

Week 3

Convolutional Neural Networks (CNNs)

Week 3

Convolutional Neural Networks (CNNs)

Week 3

Convolutional Neural Networks (CNNs)

Week 4

Certificate

Transfer Learning & Object Detection

Week 4

Certificate

Transfer Learning & Object Detection

Week 4

Certificate

Transfer Learning & Object Detection

Certificate Preview

Certificate Preview

Certificate Preview

Here’s what you’ll receive after successful completion:

Here’s what you’ll receive after successful completion:

Here’s what you’ll receive after successful completion:

Recognized by industry-aligned institutions

Recognized by industry-aligned institutions

Recognized by industry-aligned institutions

Success Stories

Success Stories

Success Stories

  • “I built my first real-time object detection app using OpenCV and YOLO — amazing hands-on course.”

    Rahul

    Junior Developer

  • “Transfer learning with ResNet and MobileNet helped me finish my portfolio project in record time.”

    Sanya

    Junior Developer

  • “The step-by-step CNN implementation made deep learning finally click for me.”

    Vishal

    Junior Developer

  • “Transfer learning with ResNet and MobileNet helped me finish my portfolio project in record time.”

    Sanya

    Junior Developer

  • “The step-by-step CNN implementation made deep learning finally click for me.”

    Vishal

    Junior Developer

  • “Deployed my first image classification app with Streamlit — great addition to my resume.”

    Megha

    Junior Developer

  • “I built my first real-time object detection app using OpenCV and YOLO — amazing hands-on course.”

    Rahul

    Junior Developer

  • “Transfer learning with ResNet and MobileNet helped me finish my portfolio project in record time.”

    Sanya

    Junior Developer

  • “The step-by-step CNN implementation made deep learning finally click for me.”

    Vishal

    Junior Developer

  • “Deployed my first image classification app with Streamlit — great addition to my resume.”

    Megha

    Junior Developer

Why Join This Program?

Why Join This Program?

Why Join This Program?

Hands-on approach with real-world datasets

Hands-on approach with real-world datasets

Hands-on approach with real-world datasets

Learn both OpenCV and deep learning-based vision techniques

Learn both OpenCV and deep learning-based vision techniques

Learn both OpenCV and deep learning-based vision techniques

Work with state-of-the-art models like ResNet and YOLO

Work with state-of-the-art models like ResNet and YOLO

Work with state-of-the-art models like ResNet and YOLO

Build portfolio-ready computer vision projects

Build portfolio-ready computer vision projects

Build portfolio-ready computer vision projects

High demand for computer vision engineers in multiple industries

High demand for computer vision engineers in multiple industries

High demand for computer vision engineers in multiple industries

Ideal for AI engineers, robotics developers, and ML practitioners

Ideal for AI engineers, robotics developers, and ML practitioners

Ideal for AI engineers, robotics developers, and ML practitioners

Frequently Asked Questions

Frequently Asked Questions

Frequently Asked Questions

Do I need prior deep learning knowledge for this course?

Do I need prior deep learning knowledge for this course?

Do I need prior deep learning knowledge for this course?

Which frameworks will we use for CNNs?

Which frameworks will we use for CNNs?

Which frameworks will we use for CNNs?

Will I learn object detection in this course?

Will I learn object detection in this course?

Will I learn object detection in this course?

Do I need a GPU for training models?

Do I need a GPU for training models?

Do I need a GPU for training models?

Will I get a certificate after completion?

Will I get a certificate after completion?

Will I get a certificate after completion?

WIATES

ACADEMY

We are an online software training platform dedicated to empowering students with the latest programming knowledge and hands-on experience to excel in their careers.

Follow us on social media for the latest updates, free learning resources, and exclusive offers.

© 2025 WIATES. All rights reserved.

WIATES

ACADEMY

We are an online software training platform dedicated to empowering students with the latest programming knowledge and hands-on experience to excel in their careers.

Follow us on social media for the latest updates, free learning resources, and exclusive offers.

Quick Links

© 2025 WIATES. All rights reserved.

WIATES

ACADEMY

We are an online software training platform dedicated to empowering students with the latest programming knowledge and hands-on experience to excel in their careers.

Follow us on social media for the latest updates, free learning resources, and exclusive offers.

Quick Links

© 2025 WIATES. All rights reserved.