Computer Vision
Master the art of teaching machines to see and understand the world. Learn how to process, analyze, and interpret images and videos using modern computer vision techniques. Gain hands-on experience with deep learning frameworks and real-world datasets. Develop projects that mirror real industry use cases like object detection and image classification. Build job-ready skills to launch your career in AI and Computer Vision.
Course Overview
You’ll learn how to extract meaningful information from visual data using image processing and deep learning methods.
Starting from the basics of image representation, you’ll move on to advanced techniques like convolutional neural networks (CNNs).
Through practical exercises, you’ll work with real datasets to build models for object detection, image segmentation, and facial recognition.
You’ll use industry-standard tools such as Python, OpenCV, TensorFlow, and PyTorch.
By the end, you’ll have the technical and analytical expertise to develop and deploy computer vision solutions.
what you will learn
- Understand the fundamentals of digital image processing and feature extraction.
- Build and train Convolutional Neural Networks (CNNs) for image classification.
- Apply advanced techniques such as object detection, image segmentation, and face recognition.
- Gain hands-on experience with Python, OpenCV, TensorFlow, and PyTorch.
- Learn to handle real-world datasets and optimize models for performance.
- Develop end-to-end computer vision projects for portfolio and job readiness.
- Understand how computer vision integrates with AI, robotics, and autonomous systems.
- Prepare for roles in AI engineering, Data Science, and Machine Learning development.
Next Cohort Starts On 30 Nov
Skilled Covererd
- Computer Vision and Image Processing Fundamentals
- Deep Learning with Convolutional Neural Networks (CNNs)
- Object Detection, Segmentation, and Recognition Techniques
- Model Training and Optimization using TensorFlow and PyTorch
- Real-Time Image and Video Analysis using OpenCV
- Deployment of Computer Vision Models in Real Applications
Benefits
The certification can help you land lucrative roles in IT, manufacturing, finance, healthcare, and other exciting industries certified project managers drive better project performance and are often rewarded with substantial pay raises as shown below.
Designation
Annual Salary
Hiring Companies
Course Curriculum
Introduction to Computer Vision & OpenCV
Applications
Reading & writing images
Basic Image Operations
Image Processing
Morphology
Contours & Shape Detection
Color Spaces
Introduction to CNN for Computer Vision
Transfer Learning in Computer Vision
Object Detection Introduction
Real-time Detection
Segmentation
Instance Segmentation
Face Detection
Face Recognition
Image Captioning
Vision Transformers
Deployment of Computer Vision Apps
Computer Vision Interview Prep
Computer Vision FAQ
No, this course covers all essential deep learning concepts needed for computer vision from the ground up.
You’ll work with Python, OpenCV, TensorFlow, and PyTorch to implement computer vision models.
Yes, the course includes multiple hands-on projects using real-world images and videos for training and testing models.
Absolutely. The course is structured to guide beginners through fundamentals before moving to advanced topics.
You’ll develop job-ready skills in AI and computer vision — valuable for careers in automation, robotics, and data-driven industries.
Eligibility
- Gain job-ready skills for roles such as Computer Vision Engineer, AI Developer, or ML Specialist.
- Build hands-on experience through real-world projects and datasets.
- Strengthen your expertise in one of the fastest-growing AI domains.
- Enhance your technical portfolio with deep learning-based visual intelligence projects.
- Open doors to careers in industries like healthcare, automotive, robotics, and security.
- Develop a strong foundation to advance into specialized AI research or product development.
- Stay ahead in the job market with cutting-edge computer vision skills.
- Upgrade your profile for higher earning potential and advanced career opportunities.
Pre-requisites
- Basic understanding of Python programming.
- Familiarity with fundamental mathematics and linear algebra (helpful but not mandatory).
- No prior experience in deep learning required — key concepts will be covered in the course.
- A passion for artificial intelligence and problem-solving using visual data.
Contact Us
1800-212-7688
(Toll Free)
Why join this program
Develop skills for real career growth
Cutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
Learn from experts active in their field, not out-of-touch trainers
Leading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
Learn by working on real-world problems
Capstone projects involving real world data sets with virtual labs for hands-on learning
Structured guidance ensuring learning never stops
24×7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts
