Self-Paced Online


3 Months








About the Course

The certification course on Computer Vision is a self-paced online course. This gives you complete freedom about your schedule and convenience.This course has over 50+ hours of self-paced learning.

Additionally, this course comes with our exclusive lab access to gain the much needed hands-on experience to solve the real-world problems.

Upon successfully completing the course, you will get the certificate from CloudxLab which you can use for progressing in your career and finding better opportunities.

Program Highlights

  • Certificate of Completion by CloudxLab

  • 50+ Hours of Self-Paced Training

  • Work on about 12+ projects to get hands-on experience

  • Timely Doubt Resolution

  • Best In Class Curriculum

  • Cloud Lab Access


What is the certificate like?

Computer Vision

CloudxLab Certificate

  • Why Cloudxlab?

    CloudxLab is a team of developers, engineers, and educators passionate about building innovative products to make learning fun, engaging, and for life. We are a highly motivated team who build fresh and lasting learning experiences for our users. Powered by our innovation processes, we provide a gamified environment where learning is fun and constructive. From creative design to intuitive apps we create a seamless learning experience for our users. We upskill engineers in deep tech - make them employable & future-ready.

Hands-on Learning

hands-on lab
  • Gamified Learning Platform

  • Auto-assessment Tests

  • No Installation Required

Mentors / Faculty

Instructor Sandeep Giri

Sandeep Giri

Founder at CloudxLab

Past: Amazon, InMobi, D.E.Shaw

Instructor Abhinav Singh

Abhinav Singh

Co-Founder at CloudxLab

Past: Byjus

Instructor Praveen

Praveen Pavithran

Co-Founder at Yatis

Past: YourCabs, Cypress Semiconductor


Hours of Self-Paced Training
Days of Lab Access
1. Introduction to Linux
2. Introduction to Python
3. Hands-on using Jupyter on CloudxLab/div>
4. Overview of Linear Algebra
5. Introduction to NumPy & Pandas

Course on Computer Vision

1. OpenCV
1. Introduction to OpenCV
2. OpenCV Basics
3. OpenCV Basic Image Processing
4. OpenCV Histograms
5. Blurring with OpenCV
6. Thresholding with OpenCV
7. Detecting moving objects in Video with OpenCV
8. Edge Detection with OpenCV
2. Introduction to Artificial Neural Networks
1. From Biological to Artificial Neurons
2. Implementing MLPs using Keras with TensorFlow Backend
3. Fine-Tuning Neural Network Hyperparameters
3. Training Deep Neural Networks
1. The Vanishing / Exploding Gradients Problems
2. Reusing Pretrained Layers
3. Faster Optimizers
4. Avoiding Overfitting Through Regularization
5. Practical Guidelines to Train Deep Neural Networks
4. Custom Models and Training with Tensorflow
1. A Quick Tour of TensorFlow
2. Customizing Models and Training Algorithms
3. Tensorflow Functions and Graphs
5. Loading and Preprocessing Data with TensorFlow
1. Introduction to the Data API
2. TFRecord Format
3. Preprocessing the Input Features
4. TF Transform
5. The TensorFlow Datasets (TDFS) Projects
6. Convolutional Neural Networks
1. The Architecture of the Visual Cortex
2. Convolutional Layer
3. Pooling Layer
4. CNN Architectures
5. Classification with Keras
6. Transfer Learning with Keras
7. Object Detection


Enroll Now

Certification Guideline

Complete 100% of the topics of the course along with mandatory(non optional) projects

Share your achievement

Highlight your skills on your resume, LinkedIn, Facebook and Twitter. Tell your friends and colleagues about it.

Program Fee


  • 50+ Hours of Online Self-Paced Training
  • 90 Days of Online Lab Access
  • 24*7 Support
  • Certificate from CloudxLab
Enroll Now »


Frequently Asked Questions

What is the validity of course material?

We understand that you might need course material for a longer duration to make most out of your subscription. You will get lifetime access to the course material so that you can refer to the course material anytime.

Do I need to install any software before starting this course?

No, we will provide you with the access to our online lab and BootML so that you do not have to install anything on your local machine

Can I renew my lab subscription?

Yes, you can renew your subscription anytime. Please choose your desired plan for the lab and make payment to renew your subscription.

What are the hardware and software requirements?

Course requires a good internet connection and a browser to watch videos and do hands-on the lab. We've configured all the tools in the lab so that you can focus on learning and practising in a real-world cluster.