Computer Vision (Career Building Course)

  • Start from zero
  • Learn the concepts
  • Develop Computer Vision (Career Building Course) project(s) from scratch
  • Earn smart certificate & showcase skills
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Self-paced Online Course
₹11799 - ₹18999 per student
Learn anytime!
  • Learn using high quality tutorials developed by experts
  • Learn anytime, anywhere at your convenience
  • Clear doubts 1-1 with experts on Skype/Chat
  • Earn smart certificate & build your profile
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What you'll receive
  • Computer Vision project tutorials
    Computer Vision SKILLS

    Get course access instantly & learn 24x7

  • Learn and build your Computer Vision project from anywhere, anytime
    Computer Vision Projects

    Learn and build your project anywhere, anytime

  • Build Computer Vision project and showcase your practical skills to the world
    Smart Certificate

    Showcase your practical skills to the world

  • Clear your doubts on Computer Vision project through dedicated 1-1 sessions
    Expert Guidance

    Interact with experts 1-1 & build your profile

What you'll develop
  • Working Computer Vision Project
    Innovative Computer Vision Projects

    Impress your interviewers, recruiters with confidence

  • Develop technical skills by building Computer Vision project
    Hands-on Skills

    Not a 'paper engineer'. Be a real, practical engineer

  • Build portfolio by building Computer Vision project
    Portfolio

    Projects portfolio. Not bunch of certificates.

  • Grab the best jobs and higher education opportunities by building Computer Vision project
    A Career

    Grab the best jobs and higher education opportunities

Why join this Computer Vision career building course?

In this course, you will practically learn the concepts of Computer Vision from basics to advanced by building projects and develop the skills needed for an exciting career in Computer Vision.
The course helps you to develop enough experience to apply for jobs or higher studies in Computer Vision with confidence.

Computer Vision Project Thumbnail
What you'll learn in this course

The course involves you to build multiple Computer Vision projects and helps you develop a good understanding of Computer Vision practically.
You will develop the following projects:

  • Basic
    1. Computer Vision based Mouse
  • Intermediate
    1. Computer Vision based Text Scanner
    2. Computer Vision based Smart Selfie
  • Advanced
    1. Hand Written Digits Recognition using Machine Learning


  • Learn: What is Computer Vision?
  • Do: Installation of Python 3 in Windows
  • Do: Installation of Open CV & Other Packages for Image Processing
  • Do: Setting up the Working Directory for OpenCV
  • Do: Read an Image using Open CV
  • Do: Save Image using waitKey Function in Open CV
  • Do: Computer Vision - Basic Concepts of an Image
  • Review: Computer Vision - Concepts, Basic Operations
  • Do: Properties & Pixels of an Image - Basic Image Operations using OpenCV
  • Do: Draw Geometric Shapes using OpenCV
  • Do: Color Spaces in Image Processing - Change Color Space of an Image in Open CV
  • Do: Basic Image Operations - Splitting Image Channels
  • Do: Plot an Image in Python using matplotlib
  • Do: Plot Multiple Images in Python using matplotlib
  • Do: Region of Interest in an Image - Basic Image Operations using OpenCV
  • Review: Basic Image Operations using OpenCV
  • Do: Geometric Transformations - Scaling of an Image using OpenCV
  • Do: Geometric Transformations - Translation of an Image using OpenCV
  • Do: Geometric Transformations - Rotation of an Image using OpenCV
  • Do: Affine Transformation of an Image using OpenCV
  • Do: Perspective Transformation of an Image using OpenCV
  • Review: Geometric Transformations using OpenCV
  • Learn: Computer Vision - Basic Concepts of a Video
  • Do: Capture Video in Open CV
  • Do: Play Video using OpenCV
  • Do: Save Video as a File using Open CV
  • Review: Basic Video Operations using OpenCV
  • Learn: Advanced Image Operations in OpenCV
  • Do: Smoothing an Image
  • Do: Simple Thresholding of Images using OpenCV
  • Do: Adaptive Thresholding of Images using OpenCV
  • Do: Edge Detection using Canny Algorithm
  • Review: Advanced Image Operations using OpenCV
  • Learn: Programming Logic for Tracking a Colored Object using OpenCV
  • Do: Contours in Open CV - Find & Draw Contours
  • Do: Contours in Open CV - Calculation of Features
  • Do: Tracking of a Colored Object using OpenCV
  • Review: Object Tracking using OpenCV
  • Learn: Programming Logic for Computer Vision based Mouse
  • Do: Installation of pyautogui Library for Windows
  • Do: Cursor Control using pyautogui
  • Do: Design the Program for the Computer Vision based Mouse
  • Do: Computer Vision based Mouse - Submit your Video
  • Learn: Optical Character Recognition
  • Do: Programming Logic for CV based Text Scanner
  • Do: Installation of Tesseract Engine on Windows
  • Do: Installation of pytesseract Package
  • Do: Optical Character Recognition using pytesseract
  • Do: OCR from a Rotated Image
  • Do: Computer Vision Based Text Scanner Project
  • Do: Computer Vision Based Text Scanner - Submit your Video
  • Learn: Smile Recognition using OpenCV
  • Do: Installation of CMake & Dlib Packages
  • Do: Installation of Visual Studio for Windows
  • Do: Face Recognition using OpenCV
  • Do: Recognize Facial Features using OpenCV
  • Do: Facial Feature Recognition from Live Video using OpenCV
  • Do: Smile Recognition using OpenCV
  • Do: Smart Selfie using OpenCV
  • Review: Smart Selfie using OpenCV - Submit your Video
  • Learn: What is Machine Learning
  • Learn: Supervised vs Unsupervised Learning
  • Learn: Machine Learning Terminology & Pipeline
  • Learn: Tools for Machine Learning
  • Do: Installation of Anaconda
  • Do: Setting up a Jupyter Notebook
  • Do: Explore Jupyter
  • Review: What is Machine Learning
  • Learn: Boston Housing - Problem Description
  • Learn: Types of Data & Its Implications
  • Learn: Preprocessing of Data
  • Do: Import BH Data
  • Do: Data Visualization of BH Data
  • Do: Correlation between Target & Attributes
  • Review: Your First Machine Learning Model!
  • Learn: Loss Functions in Machine Learning
  • Learn: Mean Square Error - Programming Logic
  • Do: Define MSE Function
  • Do: Calculate MSE for Sample Data
  • Do: Boston Housing - Define MSE Function
  • Review: Mean Squared Error
  • Learn: Testing & Training Data - Cross Validation
  • Do: Split the dataset
  • Review: Data Splitting & Accuracy of Model
  • Learn: What is Linear Regression
  • Learn: Gradient Descent in Machine Learning
  • Learn: Gradient Descent - Programming Logic
  • Do: Update Function
  • Do: Define Gradient Descent Function
  • Learn: Model Training Visualization - Programming Logic
  • Do: Model Training Visualization
  • Do: Error Visualization
  • Review: Linear Regression
  • Learn: Prediction & Validation
  • Learn: Programming logic - Prediction of Prices
  • Do: Prediction of Prices
  • Do: Train Model with Different Attributes & Predict
  • Review: Machine Learning Prediction
  • Learn: What is Deep Learning?
  • Learn: Recognize Handwritten Digits - Problem Description
  • Learn: MNIST Dataset - Description
  • Learn: Recognize Handwritten Digits - Problem Setup
  • Do: Import MNIST Dataset
  • Learn: Basic Properties of an Image
  • Do:MNIST Data - Properties of the Dataset
  • Do: MNIST Data - Visualize Samples of the Data
  • Do: MNIST Data - Scaling the Data
  • Learn: What is a Neural Network
  • Learn: Representation of Neural Networks
  • Learn: Output of a Neural Network
  • Learn: Activation Functions in Neural Networks
  • Learn: TensorFlow & Keras - Basic Concepts
  • Learn: Recognize Handwritten Digits - Deep Learning Model - Programming Logic
  • Do: Recognize Handwritten Digits - Setup Neural Network
  • Do: Recognize Handwritten Digits - Train the Model
  • Learn: Recognize Handwritten Digits - Model Evaluation - Programming Logic
  • Do: Recognize Handwritten Digits - Vizualize model training
  • Do: Recognize Handwritten Digits - Evaluate Accuracy & Make Predictions
  • Do: Recognize Handwritten Digits - Function to Visualize Results
  • Do: Recognize Handwritten Digits - Visualize Prediction of Random Samples
  • Do: Recognize Handwritten Digits - Visualize Prediction of Incorrect Samples
How can you build these Computer Vision projects?
1) Enroll

Get access to course instantly and learn 24x7 anytime, anywhere at own convenience

2) Learn

Access video lectures, tutorials and quizzes to learn the technology in Computer Vision

3) Build

Use the tutorials with practical sessions in course to build your Computer Vision project

4) Submit assignment

Complete the course and submit your assignment to get your certificate

Get Started Now
Why wait?
Start learning for free

Signup and try our first few chapters free of cost!
Pay only when you like it.

Have a group?
Enroll together. Pay less
Team of 5 $220 /student
Team of 4 $233 /student
Team of 3 $254 /student
Team of 2 $297 /student
Team of 1 $426 /student

You can also add friends later

Want in your institute?
Organize a Workshop

Our experts will visit your college/ school/ office with the kits and conduct an awesome hands-on workshop.

Learning will not be more fun than this!

Frequently Asked Questions about Computer Vision - Career Building Course

How to build these Computer Vision projects?

Login to our online learning portal will be provided instantly upon enrollment. The portal will have video lectures, tutorials, and quizzes required to build the Computer Vision projects. Use the tutorials along with the online portal to complete the project at your home itself.
You can enroll for free demo to understand how it works better. Pay only when you are confident and if you like it!

How much time do I have to complete these Computer Vision projects?

You need to complete the project within 90 days of enrollment. Generally, the project would take 90 - 100 hours to complete.

Am I eligible for this course?

Anybody who want to develop Computer Vision skills & build an exciting career in Computer Vision can take up this career building course.

What kind of certification will I receive upon completion?

You will get a smart certificate from Skyfi Labs. This certificate can be verified online for authenticity by anyone around globe. And you can easily share your smart certificate in your social media platforms.

Who will clarify my doubts?

Our expert trainers are available to clear your doubts. It is very simple. You will just have to select a time slot that is suitable for you (you will see this option once you start the course) and your trainer will call you at that time and help you. The doubt clarification sessions are always 1-1. So you can ask as many doubts as you want any number of times!

Can my friends build along with me?

Ofcourse, and we strongly encuorage that. The course is fun and learning is more effective when you work together, learn together and build together!

  • A team can have maximum of 5 members.
  • All team members will get separate logins and certificate.
Can I access my course video modules after completing the project?

Yes, you can access the course video tutorials for lifetime. This will help you in reviewing the concepts learnt on the go and prepare well for your interviews/project presentations in the future.

Why should I choose Skyfi Labs?

Skyfi Labs, a venture by IIT Kanpur alumni, was founded with a motive to make learning by building projects super easy for students all across the globe. Training 2,50,000+ students across 30+ countries, Skyfi Labs got prestigious awards like 2nd Best Business Venture Award, Ideas, IIT Kanpur | 30 Most Promising Startups, Next Big Idea, IIM Bangalore | Runner-up, UnLtd India Growth Challenge etc. Our courses have also been in the curriculum of IIT Delhi for the last 5 years. With such an experience, you can be rest assured that you will get quality project training from Skyfi Labs.
If you still dont like it, dont worry. We offer 100% refund if you apply within 3 days of receiving the course access.

How can I contact Skyfi Labs?

Please feel free to contact us in case of any queries. Email: info@skyfilabs.com, Toll-free: 18001237177 (10AM - 8PM; Mon - Sat)
We prefer email contact as that can be replied by the right expert who can answer your question!

What is included in the fee?

The fee you pay includes:

  • Course manual & content
  • Charges for support & shipping

Upon payment, we will also provide you with a tax invoice for the above mentioned.

Any more questions?