Image Processing & AI/ML

The Industry-Oriented Program on Image Processing & AI/ML is a specialized training designed to equip participants with practical knowledge and hands-on experience in image processing, artificial intelligence (AI), and machine learning (ML). This program bridges the gap between academic learning and industry requirements, preparing students and professionals for careers in AI-driven computer vision applications.

Course Objective:

Develop a solid understanding of image processing fundamentals using open-source libraries like OpenCV, scikit-image, and Pillow.

Apply AI/ML algorithms such as CNNs, SVMs, and k-Means for image classification, detection, and segmentation tasks.

Perform advanced image pre-processing, including noise reduction, edge detection, histogram equalization, and morphological operations.

Extract and analyze image features using techniques like HOG, LBP, and SIFT for object recognition.

Design and train deep learning models using TensorFlow and PyTorch for complex vision tasks.

Integrate AI-driven vision capabilities into IoT and embedded systems using optimized lightweight models (e.g., MobileNet, TensorRT).

Address image data security, watermarking, and bias mitigation in AI driven imaging systems.

Optimize model performance for edge deployment through quantization, pruning, and ONNX conversion.

Benchmark models and pipelines using tools like TensorBoard, DVC, and OpenVINO for production readiness.

Tools & Technologies Used

Top Job Roles in India & Average Salary

Computer Vision Engineer: ₹8-15 LPA

AI/ML Engineer: ₹10-20 LPA

Embedded AI Developer: ₹6-12 LPA

Data Scientist (Computer Vision): ₹12-25 LPA

Top Recruiting Companies in India

Google, NVIDIA, Amazon, TCS, Wipro, Infosys, Bosch, Tata Elxsi, Zoho, Reliance Jio

Future Prospects in India

AI Market in India to Reach $17 Billion by 2027 – Rapid adoption across healthcare, agriculture, automative, and security industries.

Source: NASSCOM & EY Report, 2023

Image Processing Market Growing at 15% CAGR in India – Driven by computer vision applications in surveillance, quality control, medical imaging, and automation.

Source: MarketsandMarkets, India AI Vision Report, 2022

Medical Imaging AI to Dominate Healthcare AI Adoption – 65% of AI investments in Indian healthcare focus on radiology, pathology, and diagnostic imaging.

Source: McKinsey India Healthtech Insight, 2023

Huge Demand for AI/ML Professionals in Vision Technologies – Over 1 million AI jobs expected to be created in India by 2026, with high demand in computer vision and robotics.

_{Source: AIM Research & NASSCOM FutureSkills, 2023}