Image Processing with Python
The Image Processing with Python certification program is designed to equip learners with fundamental to advanced techniques for processing, analyzing, and manipulating images using Python. This course covers image enhancement, filtering, feature extraction, object detection, deep learning-based image analysis, and real-world applications in AI. Participants will work with popular libraries like OpenCV, PIL, NumPy, Matplotlib, and TensorFlow/Keras to develop skills in computer vision and AI-powered image analysis. The program is highly practical, with hands-on projects, enabling students to build a portfolio of real-world image processing applications. Upon completion, graduates will be prepared for careers in AI, computer vision, data science, and automation industries.
Software You Will Learn
- Python – Programming for Image Processing
- OpenCV – Image Processing & Computer Vision
- Pillow (PIL) – Image Manipulation Library
- NumPy & Matplotlib – Image Data Processing & Visualization
- TensorFlow & Keras – AI-Powered Image Processing
- Tesseract-OCR – Optical Character Recognition
- Flask/FastAPI – Web Deployment for Image Processing Applications
Ideal For
- Aspiring AI & Machine Learning Engineers
- Data Scientists & Analysts Interested in Image Processing
- Computer Vision Enthusiasts
- Developers Looking to Integrate AI into Image-Based Applications
- Students & Researchers in AI & Computer Vision
Career Opportunity
- Computer Vision Engineer
- AI/ML Engineer (Image Processing Specialization)
- Data Scientist (Image & Video Analytics)
- Software Developer (AI-Based Applications)
- Researcher in Medical Imaging & AI
Course Module
Fundamentals of Image Processing
- Introduction to Image Processing & Computer Vision
- Understanding Digital Images: Pixels, Resolution & Color Spaces
- Python for Image Processing: Basics of NumPy & Matplotlib
- Image Manipulation with OpenCV & PIL (Cropping, Resizing, Flipping, Rotating)
- Basic Image Filtering: Blurring, Sharpening, and Edge Detection
- Histogram Equalization & Color Correction Techniques
- Thresholding, Binary & Grayscale Image Processing
- Image Segmentation & Contour Detection
- Morphological Operations (Erosion, Dilation, Opening, Closing)
- Project: Implementing Basic Image Enhancements
Feature Extraction & Object Detection
- Feature Detection using Harris & SIFT Algorithm
- Object Tracking with OpenCV
- Facial Landmark Detection & Face Recognition
- Motion Detection & Background Subtraction
- Image Classification using Traditional ML Techniques
- OCR (Optical Character Recognition) with Tesseract & OpenCV
- Handwritten Digit Recognition using MNIST Dataset
- License Plate Recognition System
- Barcode & QR Code Scanning with OpenCV
- Project: Building a Face Recognition Attendance System
AI & Deep Learning in Image Processing
- Introduction to Deep Learning & Convolutional Neural Networks (CNNs)
- Preprocessing Images for Deep Learning Models
- Building a CNN with TensorFlow/Keras
- Object Detection using YOLO & SSD Algorithms
- Image Segmentation using U-Net & Mask R-CNN
- Medical Image Processing & Analysis
- Automating Image Captioning with AI
- Emotion Detection from Facial Expressions
- GANs (Generative Adversarial Networks) for Image Synthesis
- Project: Building an AI-Powered Object Detection Model
Real-World Applications & Optimization
- Image Compression & Storage Optimization
- Color Detection & Object Tracking in Real-Time Video
- AI-Powered Image Enhancement & Super-Resolution
- Forensic Image Processing & Fake Image Detection
- Implementing Augmented Reality (AR) using OpenCV
- Deploying Image Processing Applications with Flask & FastAPI
- Freelancing & Career Opportunities in Image Processing
- Portfolio Development & GitHub Project Showcase
- Mock Interviews & Resume Building
- Final Capstone Project Presentation & Certification
Course Study Plan
- Month 1: Fundamentals of Image Processing & OpenCV Basics
- Month 2: Feature Extraction, Object Detection & Machine Learning Applications
- Month 3: Deep Learning & AI in Image Processing
- Month 4: Advanced Real-World Projects & Deployment
Projects
- 2+ Industry-Level Projects
- 5+ Hands-On Assignments on Image Processing Tasks
Materials
- 80+ Hours of recorded sessions for revision
Course FAQ
Do I need prior experience in Python?
Basic Python knowledge is recommended, but we cover essentials in the course.
Will I receive a certificate?
Yes, a Headway Global Certification in Image Processing with Python will be provided.
What kind of projects will I work on?
You will build real-world applications such as face recognition, object detection, and AI-powered image enhancement.
Can I become a freelancer after this course?
Yes, the course covers freelancing strategies, portfolio development, and client management.
৳ 200.00
- Students: 0
- Lessons: 40
- Durations: 4
- Category: Technical Learning