200+ programs across 6 cutting-edge technology domains
80% practical · 8+ projects · Pantech × SVNIT dual cert
200+ industry-grade lab kits
Build, learn, and ship real projects with curated hardware kits
Hands‑on computer vision and image processing with deep learning, covering CNNs, detection, segmentation, and real‑world deployment.
A comprehensive curriculum designed to take you from beginner to professional.
Build a portfolio of practical computer vision projects that demonstrate your ability to design, train, and deploy deep learning models for real‑world applications.
Explore the essential frameworks and tools powering computer vision and deep learning applications.
Our certification formally validates your skill set in recruiter searches with unique QR code verification and LinkedIn-ready structures.
Unique Credential ID & QR Code
Recruiters can scan to instantly verify your project files, source repository, and official completion marks.
Linkedin Certified Recognition
Easily push to your Linkedin profile with 1-click credential linking to increase high-end corporate recruiter views.
Our alumni are driving innovation at the world's most prestigious technology companies.
An expert-crafted learning infrastructure built for technical fluency.
Direct guidance and weekly doubt clearing sessions hosted by hardware, embedded, and software engineering veterans.
Ask coding doubts anytime on our student community workspace and receive instant assistance.
Access lifetime recorded modules with adaptive pacing to balance academics and professional work.
Exclusive resume review, mock interviews, and placement assistance from industry experts.
See how Pantech courses accelerated career transitions across India.
Get exclusive lifetime access to coursework, simulators, custom templates, and direct placement opportunities.
Need immediate counseling?
+91 8925533488/89
Find instant answers to all common questions about our technical certificate courses.
Basic Python knowledge is recommended, but the course introduces OpenCV, CNNs, and PyTorch/TensorFlow step‑by‑step, making it accessible to learners with an engineering or data science background.
You’ll build practical CV applications such as real‑time face & eye detection with alerts, YOLO‑based vehicle detection and counting, hand gesture recognition interfaces, and image stylization pipelines.
You’ll have 90 days of access to all lessons, projects, and resources, giving you flexibility to learn and practice at your own pace.
Yes. You’ll learn traditional techniques like filtering and transformations alongside deep learning methods such as CNNs, YOLOv5/YOLOv8, and segmentation models.
This specialization equips you for roles in computer vision engineering, AI research, image processing development, and applied deep learning across industries like healthcare, automotive, and retail analytics.