4.0
Course Rating
3.2k+
Learners
3 hr 25 min
Total Content
Beginner
Level
🤖Computer Vision with CNNs OpenCV and Deep Learning
Learn computer vision by building CNNs from scratch. Understand image processing, convolution, pooling, feature extraction, and train models for image classification using Python.
Lifetime Access
Learn anytime. No deadlines.
Session Recordings
Rewatch sessions and learn at your pace.
Mentor Support
Get guidance and clear your doubts.
Community Access
Learn, connect, and grow together.
Tools & Technologies You'll Use
Scikit-learn
MLflow
Python
Pandas
Matplotlib
Jupyter
Lifetime Access
Learn at your own pace, anytime, anywhere.
Certificate
Earn a verified certificate upon completion.
Hands-on Projects
Build real-world projects for your portfolio.
Mentor Support
Get guidance and clear your doubts.
Live Sessions Including
Topic Explanation
Learn concepts live with practical examples.
Doubt Clearing Sessions
Ask questions, clear doubts, and get help.
Hands-on Projects
Work on projects with guidance and support.
Mock Interview
Practise interviews and exchange feedback.
Session dates and times are scheduled based on community demand.
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Benefits
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Pay as Much as You Wish
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After this course, you can
Build CNN models confidently
Classify and detect images
Improve model performance
Solve real computer vision tasks
Course Curriculum
Follow this structured learning path to build skills from beginner to advanced.
Lessons
Start here after enrolling. These lessons build your core foundation step by step.
What an Image Really Is: Pixels, Numbers, and Grids
18 min
Color Channels, Grayscale, and Why RGB Is Secretly BGR
16 min
Reading, Writing, and Displaying Images and Video
14 min
Resizing, Cropping, Rotating, and Drawing on Images
12 min
Blurring, Edges, and Thresholding: Your First Image Filters
12 min
Mini-Project: A Live Webcam Filter App
19 min
Why a Normal Neural Network Falls Apart on Images
19 min
The Convolution Operation, Explained Without the Scary Math
12 min
Filters and Feature Maps: What Each Layer Actually Learns
16 min
Pooling: Shrinking an Image Without Losing the Point
16 min
Activation, Flattening, and the Full CNN Pipeline
18 min
Build Your First Tiny CNN in Keras
13 min
The Classification Problem and How to Frame It
12 min
Datasets, Train/Validation/Test Splits, and Batches
12 min
Loss, Accuracy, and How to Read a Training Curve
13 min
Training Your First Real Classifier (Cats vs Dogs Style)
17 min
Overfitting: How to Spot It and How to Fight It
16 min
Saving, Loading, and Predicting on Brand-New Images
14 min
Why Training From Scratch Is Usually a Bad Idea
17 min
Transfer Learning: Standing on the Shoulders of VGG and ResNet
17 min
Feature Extraction vs Fine-Tuning
18 min
Data Augmentation: Turning 1,000 Images Into 10,000
14 min
A Strong Classifier From a Small Dataset
12 min
Common Mistakes That Quietly Wreck Your Accuracy
13 min
Classification vs Detection vs Segmentation
15 min
How Detection Works: Boxes, Confidence, and IoU
14 min
Running a Pretrained Detector (YOLO) in a Few Lines
12 min
The Capstone Brief: A Real Vision App, End to End
13 min
Build Walkthrough and Design Decisions
17 min
Where to Go Next in Computer Vision
18 min
Live Session Recordings
LiveLearn live with instructors, ask questions, and get real-time guidance. Previous recordings are included.
Topic Explanation
Learn concepts live with practical examples and guidance.
Doubt Clearing Sessions
Ask questions, clear doubts, and get help when you need it.
Hands-on Projects
Work on projects with guidance and support from mentors.
Mock Interview
Practise interviews, exchange feedback, and build confidence.
Bonus Resources
Get bonus content and resources to practise, revise, and go deeper.
Study Materials
Cheat Sheets
Interview Q&A
PYQ PDFs
PPTs
Quizzes
Requirements
What you should have before starting the course.
Basic Python programming knowledge
Familiarity with machine learning
Understanding of neural network basics
A computer with Python installed
Curriculum Designed & Verified by Industry Experts
Learn skills and concepts validated by industry professionals who use them in real-world work every day.
Aarav Sharma
Senior Frontend Engineer, StudioLabs
Aarav has mentored 1200+ learners and specializes in production UI systems and scalable frontend architecture.
LinkedIn
Ananya Mehta
Design Technologist, CraftLabs
Ananya blends design and code to help learners ship portfolio-ready projects.
LinkedIn
Kabir Sayed
Frontend Mentor, PixelWorks
Kabir focuses on clean code, accessibility, and practical frontend delivery.
LinkedInThis course is for you if you want to
Wherever you are in your journey, this course helps you learn, build, and grow with confidence.
Students & Fresh Graduates
Build a strong foundation and turn what you learn into practical experience.
Learn from beginner to advanced
Build real-world projects
Get feedback and improve
Working Professionals
Upgrade your skills and apply new knowledge directly in your career.
Learn in-demand skills
Apply directly to your work
Grow with practical knowledge
Career Switchers
Follow a clear path as you transition confidently into a new career.
Structured learning path
Hands-on practice
Mentor support at every step
Freelancers & Creators
Sharpen your craft and deliver better results for your clients and audience.
Work on client-ready projects
Improve efficiency and quality
Stay current with modern tools
For anyone who wants to learn, build, and grow. All you need is curiosity and a willingness to take the first step.
What you will get after completing this course
Receive an official course completion certificate
Live verification URL with PDF and downloadable option
Signed by your course designer and the Director of Shattak
Carries your name, course title, and completion date
Recruiters can check it in seconds from your LinkedIn or resume
Pay After Certification
Pay whatever you feel it is worth, only after you get certified. No questions asked.
Hear From Learners Who've Taken This Course
Honest feedback from learners who completed the live sessions.
4.8
24
Clear structure, solid examples, and a fast pace that keeps you engaged.
Riya Jain
B.Tech, NIT Trichy
4.6
18
Practical sessions with feedback that helped improve my portfolio.
Kabir Singh
Frontend Intern, PixelWorks
4.9
12
Loved the structure and the live walkthroughs.
M
Meera Patel
Design Graduate
Join Our Community, Ask Questions
Frequently Asked Questions
Students, working professionals, and career switchers who want to build job-ready web projects.
Basic familiarity with HTML or CSS is helpful, but the course includes beginner-friendly guidance.
Yes, recordings are shared after each live session.
Mentors provide live feedback and follow-up notes during the sessions.
Yes, you can ask questions in the community group and during live office hours.
Learners
3,155+
Duration
3 hr 25 min
Get Life Time Access
₹0
₹499
100% off
Get Life Time Access
₹0
₹499
100% off