Premium Tech Internship

Computer Vision
Internship

✓ Included
Real Projects
Industry-grade portfolio
✓ Included
Expert Mentors
Senior industry professionals
✓ Included
Placement Assistance
100% placement support
✓ Included
Certification
ISO verified certificate
✓ Included
Live Training
Interactive live sessions

Internship Curriculum Roadmap

Beginner Intermediate Advanced
1
Phase 1 Image Processing Basics Weeks 1-3 Beginner
  • OpenCV Fundamentals
  • Image Filtering
  • Edge Detection
  • Morphological Ops
  • Color Spaces
2
Phase 2 Object Detection Weeks 4-8 Intermediate 🌟 Project: Object Detection App
  • Feature Extraction (SIFT, ORB)
  • YOLO Object Detection
  • Haar Cascades
  • Custom Dataset Training
  • Real-time Inference
3
Phase 3 Deep Learning for Vision Weeks 9-12 Intermediate 🌟 Project: Image Classifier API
  • CNNs from Scratch
  • Transfer Learning
  • Image Segmentation (U-Net)
  • Mask R-CNN
  • TensorRT Optimization
4
Phase 4 3D Vision & Advanced Weeks 13-16 Advanced 🌟 Capstone: Computer Vision Portfolio
  • Pose Estimation
  • Face Recognition
  • GANs for Vision
  • Point Cloud Processing
  • LiDAR Data Analysis

Program Overview

Learn image processing and object detection with OpenCV and deep learning. Build powerful vision-based applications for your AI internship portfolio.

Duration

3 - 6 Months

Certification

ISO Verified

Placement

100% Assistance

Industry Ready

Our internship programs are designed to bridge the gap between academic knowledge and industry expectations.

Real Projects

Work on live, industry-standard projects to build a robust portfolio.

Expert Mentorship

Get guided step-by-step by senior developers and tech leads.

Pre-Placement Offer

Top performers receive direct job offers or interviews with partner networks.

🚀 Apply Now — Limited Seats

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⭐ Student Reviews

Our Alumni Say It All

Real experiences from students who transformed their careers with Vidyexd internships

reviewer
Arjun Pillai
CV Engineer @ Ola Electric, Bengaluru
★★★★★

“The OpenCV image processing pipeline from raw image to feature extraction was taught with real autonomous vehicle perception use cases. I now build lane detection systems at Ola Electric using exact techniques from Vidyexd.”

Computer Vision
reviewer
Trisha Sharma
Vision AI Dev @ NVIDIA India, Pune
★★★★★

“YOLO object detection and training custom models on custom datasets was the killer module. Real-time inference optimization for edge devices using TensorRT is the content NVIDIA specifically valued in my interview.”

Computer Vision
reviewer
Manoj Nair
OpenCV Dev @ Siemens, Bengaluru
★★★★★

“Image segmentation using U-Net, Mask R-CNN, and semantic segmentation was covered with proper theoretical grounding. Industrial inspection use cases in manufacturing were the application domain, exactly what Siemens works on.”

Computer Vision
reviewer
Swathi Reddy
DL-Vision Dev @ TCS Research
★★★★★

“Face recognition, pose estimation, and action recognition were implemented from scratch during the internship. My portfolio now includes real-time Python applications that deeply impressed the TCS Research recruitment panel.”

Computer Vision
reviewer
Ruchika Verma
Computer Vision Intern @ Bosch, Hyderabad
★★★★★

“3D vision and point cloud processing were advanced modules I did not expect. LiDAR data processing for autonomous vehicles is a skill very few CV engineers have. Bosch ADAS team was genuinely impressed with my depth.”

Computer Vision
reviewer
Kiran Shetty
Vision Engineer @ Qualcomm AI, Bengaluru
★★★★★

“The GANs for image synthesis and style transfer modules were fascinating. Building creative AI applications alongside traditional computer vision gave me a unique portfolio, cutting-edge projects that stand out in every interview.”

Computer Vision