Home Training Programs Computer Vision & Image AI
Track 07 · Varanasi · Susuwahi, near IIT-BHU

Computer Vision
& Image AI

Teach machines to see, understand, and act on what they observe.

From pixel operations to real-time object detection — learn OpenCV, deep learning CNNs, and YOLO. Build systems that can detect, classify, and track objects in images and live video. Offline near IIT-BHU, Susuwahi (Hyderabad Gate area, Lanka, Assi, Sunderpur). Closed group for focused learning.

40Hours
3+CV Projects
8–10Closed Group
₹5,000Per Month
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Who Should Join

Built for engineers and developers ready to build with vision AI.

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CSE / ECE Students

Build a cutting-edge specialisation in computer vision that sets your resume apart in AI job markets.

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Python Developers

Add computer vision to your skill set — build apps that can detect faces, read text, and track objects.

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AI / ML Enthusiasts

Go beyond NLP and text AI — explore the visual modality with CNNs and real-time detection systems.

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Engineers & Builders

Apply CV to manufacturing QC, surveillance, agriculture, healthcare imaging, and autonomous systems.

What You Will Learn

40 hours. 4 phases. From pixels to intelligent detection.

Phase 110 hrs

Image Processing with OpenCV

Master the foundation — how computers represent and manipulate images before any AI is applied.

Image representation: pixels, channels, colour spaces
Filtering, blurring, edge detection (Canny, Sobel)
Contour detection, morphological operations
Video capture, frame processing, real-time operations
Phase 212 hrs

Deep Learning for Vision — CNNs

Build and train neural networks that learn to classify and understand images automatically.

CNN architecture: conv layers, pooling, activation
Transfer learning with VGG16, ResNet, MobileNet
Image classification on custom datasets
Data augmentation and overfitting prevention
Phase 310 hrs

Object Detection with YOLO

Detect multiple objects in real time — the technology behind self-driving cars and security cameras.

YOLO architecture and how it works
YOLOv8 setup, inference, and fine-tuning
Custom dataset annotation with Roboflow
Real-time detection on webcam and video streams
Phase 48 hrs

Real-World CV Applications & Deployment

Build 3 portfolio projects and deploy your model as a live API or edge application.

Face detection & recognition system
Defect detection for manufacturing QC
Flask API deployment for CV models
Portfolio review & project presentation
Course Fee

Transparent pricing. No hidden costs.

Track 07 · Computer Vision & Image AI
₹5,000 / month
× 2 months  ·  Total ₹10,000Launch Price
Standard fee₹7,000/month
Duration40 hrs · up to 2 months
Batch sizeClosed group · 8–10 students
ModeOffline Varanasi · Online on request
LocationSusuwahi, near IIT-BHU
Projects3+ portfolio projects included
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Online Option · Pan India

Live Online Batch — Join From Anywhere in India

Can't make it to Varanasi? Join the same course live online. These are not recorded videos — every session is live with the trainer, your code gets reviewed in real time, and you build the same portfolio projects as the offline batch.

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Live, Not Recorded

Every session is taught live over Google Meet. Ask questions, get your code reviewed, and work through problems with the trainer in real time.

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Small Live Batches

Online batches are capped at 10 students so you get the same personal attention as our offline classes near IIT-BHU.

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Same Projects, Same Certificate

You build the same real-world portfolio projects as the offline batch, and receive the same Nelumbus Technologies completion certificate.

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Weekend & Evening Batches

Weekday evening batches (7–9 PM IST) and weekend batches (Sat–Sun mornings) available. Pick what fits your schedule.

How online classes work
  • Live Google Meet sessions with the trainer
  • Private WhatsApp group for your batch
  • Shared GitHub repo for all code and projects
  • Recorded sessions available only for revision if you miss a class
  • Trainer office hours twice a week for 1-on-1 doubts
Who it's for
  • Students and professionals outside Varanasi
  • Working professionals who can't attend offline weekday batches
  • Anyone across India who wants live AI training, not pre-recorded courses

Same fee as the offline batch. Pay monthly or one-time. WhatsApp us for the next online batch start date.

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FAQ

Questions answered.

Designed for CSE and ECE engineering students, Python developers, AI/ML enthusiasts, and researchers who want to build systems that can see and understand images and video in real time.
Basic Python knowledge is helpful. We cover OpenCV fundamentals in Phase 1 before moving to deep learning. Prior ML exposure is a plus but not required — we teach CNN theory from scratch.
Python, OpenCV, NumPy, TensorFlow/Keras for CNNs, YOLOv8 for object detection, Roboflow for dataset annotation, and Flask for deploying CV models as APIs.
₹5,000 per month (discounted from ₹7,000). The course runs for 2 months — total ₹10,000. Launch price for a closed group of 8–10 students. Once full, next batch opens at higher price.
Offline at our centre in Susuwahi, near IIT-BHU (Hyderabad Gate area), Varanasi. Online mode available on request. Students attend from Lanka, Assi, Sunderpur, Sigra, and IIT-BHU campus.
Closed group — 8 to 10 students maximum. This ensures every student gets GPU compute time, hands-on debugging support, and personalised feedback on their computer vision projects.

Ready to build AI that sees the world?

Closed group — 8 to 10 seats per batch. Apply now before the batch fills.

Apply for This Batch +91 87709 95984

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