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Learn everything about Computer Vision and Deep Learning with OpenCV and PyTorch.
1,338 backers pledged $499,712 to help bring this project to life.

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$499,712

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Update : Stretch Goals & Exclusive Kickstarter Content

May 23, 2019

The support we have received so far is simply incredible. We thank you all for making this campaign such a huge success. 

That got us thinking. What more can we do to reward  our backers who have put so much trust in us?

We are educators and the best gift we can give is additional material in the courses. Here are our stretch goals that will be unlocked when we reach certain thresholds pledged through this campaign. Every stretch goal in itself is a mini-course.

Today, the stretch goals look possible. We need your help in spreading the word so they become probable and eventually with extraordinary effort from all of us they will become inevitable. Fingers crossed! 

NOTE : In order to be fair with our backers, we decided to make some stretch goals available exclusively to our backers (highlighted blue box) and will not be available to others who purchase the courses later.

Here are a few more reasons to buy the courses during this Kickstarter campaign

  • 50% discounts on all the courses and bundles.
  • 12 months for completing the projects and getting the certification. It will be 6 months afterwards. 
  • Access to both C++ and Python version of the first 2 courses without any additional cost.
  • An option to buy all future courses at a fixed price [Ultimate Bundle].

Introduction

Every decade or so there is a technological tsunami that transforms multiple industries. 

Artificial Intelligence (AI) is that wave sweeping the technology world today. If you want to join this revolution but do not have the skills yet, this Kickstarter campaign is right for you. 

At OpenCV.org we support the largest computer vision library in the world. We are on a mission to create the most comprehensive online courses in AI to educate a global workforce. 

We are launching this Kickstarter campaign to fund the creation of three AI courses. 

  • Computer Vision I : Introduction
  • Computer Vision II : Applications
  • Deep Learning with PyTorch

As practitioners of this craft, we feel privileged to bring these courses to life, share our knowledge, and help others in their journey.  

This is also an opportunity for you to get these courses at a much discounted price [ 50% OFF ].

Who are these courses for?

Are you a student interested in a career in AI?

Are you a programmer who wants to make a career switch into Computer Vision?

Are you an engineer who wants to use new AI techniques at your current job? 

Are you an entrepreneur who dreams of an AI startup but do not yet know the basics?

Are you a hobbyist who wants to build cool DIY projects? 

Are you a computer vision practitioner and want to broaden your area of expertise? 

If the answer to any of the above questions is a YES, these courses are for you.  

We have designed these courses for beginners in mind and our goal is to prepare students with practical skills to solve real-world problems and to stand out in the job market. 

These courses are not for shallow learners who simply want to copy-paste code. These courses will require your time and commitment. 

Prerequisites: The only pre-requisite for these courses is an intermediate level of expertise in Python or C++. 

Why take these courses? 

Let's look at a few factors that will make our courses the best in the field.  

What will you learn?

In all three courses, our goal is to complete 3-4 practical projects. We want our students to solve real-world problems using the skills learnt in the course. Thus, we have taken projects from various domains like Healthcare, Autonomous Vehicles, Surveillance, Security and some fun applications too. 

We will also have a few short assignments along with the lectures.

We will start with the absolute basics and move to mastery as we cover all the necessary algorithms and techniques to successfully complete these projects.

For the courses, we will be working primarily with OpenCV, PyTorch, Scikit-learn and Dlib. We will also learn how to create interesting web applications using Flask. In the Deep Learning with PyTorch course, we also cover how to optimize and export models and deploy it in production environment using ONNX and Caffe2 frameworks. 

The first two courses will be available in both C++ and Python. However, since most of the Deep Learning community is focussed on python, we will use PyTorch for the Deep Learning course which will be covered only in Python.

Let's go over the material we will cover in the three courses. This list is not exhaustive, and because the courses are in the process of being created, we are open for inputs from you.

Computer Vision 1 : Introduction

This course is designed to build a strong foundation in Computer Vision. You will get a solid understanding of all the tools in OpenCV for Image Processing, Computer Vision, Video Processing and the basics of AI. Here's what we intend to cover in this course. 

Syllabus Overview 

What will you learn

  • Basics of OpenCV : Playing with images and videos and perform simple operations like reading, writing, resizing, cropping etc.
  • Image processing and enhancement techniques like convolution, filtering, edge detection, image annotation, histograms etc.
  • Image transformation techniques like color spaces, affine and perspective transforms
  • Video analytics: Motion Detection, Background Subtraction, Optical Flow Estimation, and Object Tracking.
  • Image Recognition using Feature Extraction, Feature Descriptors and Matching.
  • How to build BarCode and QR Code scanners
  • Introduction to modern Deep Learning techniques for image classification.
  • Introduction to Linear Algebra and Statistics.

Projects

  • Document Scanner
  • Instagram Filters
  • Smart baby monitoring system based on motion Detection and Object Tracking
  • Deploy an Object Recognition Model as a Web Application using Flask

Assignments

  • Lane Line Detection for Driver assist
  • Human Body Measurement using a frontal/side view
  • ID Card Scanner using BarCode/QRCode

Computer  Vision 2 : Applications

In this course, you will build systems or applications using the techniques learnt in the first course as well as some new ones that we cover as we go along. We also cover substantial amount of Machine Learning and the basics of Deep Learning in this course. We will also build interesting Web Applications as part of the course curriculum.

Syllabus Overview

What will you learn

  • Face detection, Facial Landmark Detection and its applications
  • Face recognition using Eigen Faces and LBP Histograms 
  • Face Recognition using Deep Learning.
  • Machine Learning techniques such as SVM, Nearest Neighbors, Principal Components Analysis for solving different CV problems.
  • Learn about data pre-processing, model Evaluation, hyper-parameter tuning and evaluation metrics like precision/recall, ROC Curves, IoU etc.
  • Learn how to use OpenCV’s Deep Learning Module
  • Learn how to extract text from images using Optical Character Recognition ( OCR )
  • Case study: Object Detection using YOLO v3

Projects

  • Train a 9 point Facial Landmark Detector and use it to build a Drowsiness Detector app
  • Build SnapChat Filters using image warping techniques
  • Face Recognition based Home Security / Attendance management system
  • Create your own dataset using the CVAT tool and use YOLO Object Detector to build a surveillance & monitoring system.

Assignments

  • Style Transfer using Deep Learning
  • Implement k-Nearest Neighbors algorithm
  • How to curate a small dataset using CVAT Tool

Course 3 : Deep Learning with PyTorch

Deep Learning is the most exciting sub-field of machine learning. Many state of the art results in computer vision are obtained using a Deep Neural Network. 

In this course, we will start with a theoretical understanding of simple neural nets and gradually move to Deep Neural Nets and Convolutional Neural Networks. 

Not only will we go over Deep Net architectures used for solving various computer vision problems, we will also go over practical considerations needed to successfully train Deep Neural Networks. These include how to prepare datasets, how to perform sanity checks before embarking on training that can take hours, how to use visualization tools to debug the training process, what workflows to use when the results are not satisfactory, and finally how to deploy your network on the cloud.   

You will accomplish all this while building interesting applications. 

Syllabus Overview

What will you learn

  • Basics of Neural Networks : Perceptron and Feedforward Neural Networks.
  • Regression and Classification using Neural Networks
  • Convolutional Neural Networks and techniques involved in training them such as Stochastic Gradient Descent, Batch Normalization, Back-propagation, data augmentation, regularization, learning rate scheduling, early stopping etc.
  • Training DNNs from scratch as well as fine-tuning pre-trained models using PyTorch.
  • Learn how to use visualization tools like Tensorboard and monitor the training process.
  • Work on state-of-the-art models for scene understanding using Semantic Segmentation and Object Detection.
  • How to optimize and export trained models for mobile using ONNX and Caffe2.
  • Case Study: Human Pose Estimation using Neural Networks

Projects

  • Ship Identification using drones
  • Intelligent radiologist: Build an application for automatically analyzing X-Rays.
  • Smart DashCam: Finding and localizing objects in a DashCam video for obstacle avoidance in autonomous driving.
  • Smart Gym Trainer : Detecting bad posture during exercises like squats and plank

Assignments

  • Implement algorithms like BackProp, Stochastic Gradient Descent from scratch
  • Create a data augmentation class

Pricing: Bundles and Discounts

We are offering a FLAT 50% discount on all courses and additional discounts if you purchase multiple courses. Please check all the offers given below.

Course Bundles

The prices of all the courses are heavily discounted for this Kickstarter campaign. We have deeper discounts for students planning to buy more than one course. The table below shows the different bundles. 

 For most students Bundle 4 is the best option and provides the greatest value for money.

Kickstarter Special Offers

To make it easier for you to compare among the different options, we have created a table for you below. Here are a few important points to keep in mind

  •  Retail price: This the price you pay after the courses launch. Needless to say these prices are much higher than the Kickstarter prices.
  •  Kickstarter price: You get FLAT 50% discount on the retail price if you buy during the Kickstarter campaign. Our course prices will never be as low as the Kickstarter prices.
  •  Bundle price: You get additional discounts when you purchase a bundle containing 2 or more courses.

It does not take a genius to figure out you will get the most bang for the buck if you purchase the complete or ultimate bundle.  

Which bundle is right for you?

Here is a short guide that will help you narrow down your best options

Bundle 1 : Computer Vision Enthusiast

This bundle consists of 

  • Computer Vision I: Introduction 
  • Computer Vision II: Applications

The courses cover computer vision and machine learning concepts extensively. It also covers some basics and applications of Deep Learning, but does not go into the depth of Deep Learning techniques. It is a good option if you are not interested in training and deploying Deep Learning models, but want to get your hands on with practical computer vision projects.

Bundle 2 : Computer Vision & Deep Learning Starter

This bundle consists of 

  • Computer Vision I: Introduction
  • Deep Learning with PyTorch

You will learn the basics of Computer Vision and Deep Learning and apply them to really interesting projects like Human Pose Estimation, autonomous vehicles and healthcare projects. It is a good option if you are not interested in the details of Machine Learning algorithms (SVM, kNN, etc), and computer vision applications like face recognition, OCR, Snapchat filters etc. I would frankly suggest anyone considering this bundle to opt for the CV Expert Bundle instead.

Bundle 3 : Computer Vision Professional

This bundle consists of 

  • Computer Vision II: Applications
  •  Deep Learning with PyTorch 

This bundle directly starts off with advanced computer vision applications and Deep Learning. You will learn to create cool and impactful applications and also learn how to deploy your applications. 

If you are mostly interested in Deep Learning and have prior experience with OpenCV and just want to boost your portfolio with good projects, then this bundle is perfect for you.

Bundle 4 : Complete

This bundle consists of all 3 courses. 

  • Computer Vision I: Introduction
  • Computer Vision II: Applications
  • Deep Learning with PyTorch

This bundle will take you from a beginner to a computer vision master. The courses offered will lay a strong foundation in Computer Vision, Machine Learning and Deep Learning with so many practical projects and assignments. 

This bundle is perfect for students who want to develop their skill set and get a job in top Deep Learning and Computer Vision companies or start their own ventures in Computer Vision and Deep Learning.

Bundle 5 : Ultimate

This bundle gives you access of 

  • Computer Vision I: Introduction
  • Computer Vision II: Applications
  • Deep Learning with PyTorch
  • All future courses in the next 2 years

It is perfect for students who are life-long learners and continuously upgrade their skills. 

Course Logistics

Launch dates

We have made significant progress on the course material even before the start of the Kickstarter campaign. Here are the tentative dates for release of the courses

Course Duration

  • The duration of each course will be 3-4 months.  
  • Once the courses launch, you will have the freedom to chose when to start each course.  
  • For each course, you will have lifetime access to all course material. In addition to the course material, students will get access to online labs during these 3-4 months. Online labs allow you to try code in hosted Jupyter notebooks while you are going through the study material. 

Certification

To receive a certificate, you need to complete all the requirements of the course within 1 year from the date you start the course.  This is a sample certificate that you will receive.

How is it different from other Online Courses?

We strive to provide world-class AI education at reasonable prices. To achieve that, we have put in a lot of planning and efforts to provide a rich learning experience for the students. Here are the important factors which make these courses different:

1. The Best Curriculum

The series of courses by OpenCV.org will have the best and the most comprehensive curriculum for learning Computer Vision. Here's why --

  • Designed by industry experts: These courses are designed by a team of engineers and researchers currently working in the computer vision and machine learning industry. We are bringing all our knowledge and experience to these courses.
  • Both C++ and Python versions (exclusive Kickstarter offer): You will get access to both the C++ and Python versions of the first two courses at no additional charge.
  • Comprehensive & practical: Computer vision and machine learning is vast. These courses, along with our future courses, will be the most comprehensive study material in computer vision available online.
  • A balance between theory and practice: When we surveyed available courses in AI, we found two kinds of courses --- 1) Academic and theoretically deep courses that are meant for students pursuing a Ph.D. but do not teach you how to use practical tools and libraries. 2) Theoretically shallow courses that teach you how to use libraries without explaining the underlying algorithms. In our material, you will develop a solid theoretical foundation that will help you understand algorithms and debug problems. However, we will not indulge in unnecessary mathematical details that are only of academic interest. 

2. Course Forums

Learning anything new is difficult. 

Every once in a while your progress stalls because you are stuck in one little thing --- a library does not install, a piece of code dies without warning, or you cannot figure out the right parameters to make an algorithm work. 

This is where a little help can make a huge difference. At a gym you can safely go beyond your current limits while bench pressing if you have a spotter. Even elite athletes have coaches because a little help goes a long way. 

We will support our students in our course forums. You read it right -- our instructors will help you out if you are stuck.  

You will also get to interact with your peers in the course forums, and who knows you may find a future collaborator to work with. 

3. Projects, Assignments, and Case Studies

Our courses are designed around curated projects where we build real-world applications. The lectures cover all the theory necessary to build the projects. 

Resumes are old fashioned. In today's competitive job market you need to demonstrate skills using a portfolio of projects. 

These projects are great demos to show off your skills in front of an interviewer evaluating your application for a job. 

Every course has coding assignments that test what you have learned. Online labs with hosted notebooks ensure you can try out the code while you are going through the material.

Finally, in every course we go over case studies covering a research paper. 

4. Graduate proudly

Our primary goal is to ensure you have a rock solid foundation in computer vision because with knowledge and experience comes the confidence to take on real-world problems.

At the same time it is also our goal to make sure your resume looks great and you are seen favorably by recruiters. 

A strong portfolio with real-world projects will help you stand out in a competitive job market.

On successful completion of a course, you will receive a digital certificate from OpenCV.org that you can proudly display on LinkedIn.

5. Exclusive Kickstarter Offers

There are many benefits that are available exclusively for our Kickstarter supporters and will not be available once the campaign ends. These are:

  • Heavy discounts on all the courses and bundles.
  • 12 months for completing the projects and getting the certification. It will be 6 months afterwards. 
  • Access to both C++ and Python version of the first 2 courses without any additional cost.
  • An option to buy all future courses at a fixed price.

Testimonials

The team behind these courses has a track record of excellence in Computer Vision content creation and teaching. 

We have written 150+ computer vision and deep learning articles on LearnOpenCV.com and have a computer vision course with 1100+ students enrolled in a span of 2 years. We have successfully mentored many students towards their goals and are proud of what they have achieved. 

Don't just take our word for it. Check out what our previous students from the Computer Vision for Faces course have to say about us.

Who's behind this?

These courses are the only certified and official courses by OpenCV.org

The courses are being created in collaboration with Big Vision LLC which is a California based computer vision and machine learning consulting company. Big Vision LLC owns the popular computer vision blog LearnOpenCV.com and a popular computer vision course titled Computer Vision for Faces.

The following people form the core course team 

Risks and challenges

We are working hard to complete the deliverables on time. However, large projects like this one are sometimes delayed due to unforeseen circumstances. Should there be any delay in launching the courses, we will keep you updated and we will figure out a way to make things right for you.

Apart from that, we don't see any major risks.

Learn about accountability on Kickstarter

Questions about this project? Check out the FAQ

Support

  1. Select this reward

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    Thank You

    We are really grateful for your support! Your contribution will help us provide world class AI education at affordable prices.

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    Computer Vision I - Introduction [EB*]

    ****EARLY BIRD OFFER****
    KickStarter Price : $119
    Retail Price : $249

    Includes:
    • EARLY BIRD DISCOUNT
    • CV I : Introduction (C++ & Python)
    • Complete Study Material (Text, Videos, Code, Labs, Projects)
    • Certificate of Completion
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    Computer Vision I - Introduction

    Retail Price : $249

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    • Complete Study Material (Text, Videos, Code, Labs, Projects)
    • Certificate of Completion
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    Computer Vision II - Applications[EB*]

    ****EARLY BIRD OFFER****
    KickStarter Price : $149
    Retail Price : $299

    Includes:
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    • CV II : Applications (C++ & Python)
    • Complete Study Material (Text, Videos, Code, Labs, Projects)
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    Computer Vision II - Applications

    Retail Price : $299

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    • Complete Study Material (Text, Videos, Code, Labs, Projects)
    • Certificate of Completion
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    Deep Learning with PyTorch [EB*]

    ****EARLY BIRD OFFER****
    KickStarter Price : $249
    Retail Price : $499

    Includes:
    • EARLY BIRD DISCOUNT
    • Deep Learning with PyTorch ( Python )
    • Complete Study Material (Text, Videos, Code, Labs, Projects)
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    Bundle 1 : CV Enthusiast [EB*]

    ****EARLY BIRD OFFER****
    Build cool real-world applications using computer vision.

    Includes:
    • EARLY BIRD DISCOUNT
    • CV I : Introduction (C++ & Python)
    • CV II : Applications (C++ & Python)
    • Complete Study Material (Text, Videos, Code, Labs, Projects)
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    Deep Learning with PyTorch

    Retail Price : $499

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    • Complete Study Material (Text, Videos, Code, Labs, Projects)
    • Certificate of Completion
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    Bundle 1 : CV Enthusiast

    Build cool real-world applications using Computer Vision course bundle

    Includes:
    • CV I : Introduction (C++ & Python)
    • CV II : Applications (C++ & Python)
    • Complete Study Material (Text, Videos, Code, Labs, Projects)
    • Certificate of Completion
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    Bundle 2 : CV DL Starter [EB*]

    ****EARLY BIRD OFFER****
    Get started with Computer Vision and Deep Learning

    Includes:
    • EARLY BIRD DISCOUNT
    • CV I : Introduction (C++ & Python)
    • Deep Learning with PyTorch ( Python )
    • Complete Study Material (Text, Videos, Code, Labs, Projects)
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    Bundle 3 : CV Professional [EB*]

    ****EARLY BIRD OFFER****
    Build a strong Computer Vision and Deep Learning Profile

    Includes:
    • EARLY BIRD DISCOUNT
    • CV II : Applications (C++ & Python)
    • Deep Learning with PyTorch ( Python )
    • Complete Study Material (Text, Videos, Code, Labs, Projects)
    • Certificate of Completion
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    Bundle 2 : CV DL Starter

    Get started with Computer Vision and Deep Learning.

    Includes:
    • CV I : Introduction (C++ & Python)
    • Deep Learning with PyTorch ( Python )
    • Complete Study Material (Text, Videos, Code, Labs, Projects)
    • Certificate of Completion
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    Bundle 4 : Complete Bundle[EB*]

    ****EARLY BIRD OFFER****
    Get access to all the 3 courses and go from basics to mastery in Computer Vision and Deep Learning.

    Includes:
    • EARLY BIRD DISCOUNT
    • CV I : Introduction (C++ & Python)
    • CV II : Applications (C++ & Python)
    • Deep Learning with PyTorch ( Python )
    • Complete Study Material (Text, Videos, Code, Labs, Projects)
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    Bundle 3 : CV Professional

    Build a strong Computer Vision and Deep Learning profile

    Includes:
    • CV II : Applications (C++ & Python)
    • Deep Learning with PyTorch ( Python )
    • Complete Study Material (Text, Videos, Code, Labs, Projects)
    • Certificate of Completion
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    Bundle 4 : Complete Bundle

    Get access to all the 3 courses and go from basics to mastery in Computer Vision and Deep Learning.

    Includes:
    • CV I : Introduction (C++ & Python)
    • CV II : Applications (C++ & Python)
    • Deep Learning with PyTorch ( Python )
    • Complete Study Material (Text, Videos, Code, Labs, Projects)
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    Bundle 5 : Ultimate Bundle[EB*]

    ****EARLY BIRD OFFER****
    Grab all the courses in the Complete Bundle and get access to all future courses created by us in the next 2 years!

    Includes:
    • EARLY BIRD DISCOUNT
    • Access to all Future Courses released in next 2 Years
    • CV I : Introduction (C++ & Python)
    • CV II : Applications (C++ & Python)
    • Deep Learning with PyTorch ( Python )
    • Certificate of Completion
    • Complete Study Material (Text, Videos, Code, Labs, Projects)
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    Bundle 5 : Ultimate Bundle

    Grab all the courses in the Complete Bundle and get access to all future courses created by us in the next 2 years!

    Includes:
    • Access to all Future Courses released in next 2 Years
    • CV I : Introduction (C++ & Python)
    • CV II : Applications (C++ & Python)
    • Deep Learning with PyTorch ( Python )
    • Complete Study Material (Text, Videos, Code, Labs, Projects)
    • Certificate of Completion
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    CV Enthusiast Corporate Bundle [9X]

    Get access to the 2 courses at a discounted price for your company employees.

    Includes:
    • CV I : Introduction (C++ & Python)
    • CV II : Applications (C++ & Python)
    • Complete Study Material (Text, Videos, Code, Labs, Projects)
    • Certificate of Completion
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    Corporate Bundle [5X]

    Corporate Discount : 11%
    Get 5 Copies of the Complete Bundle at a discounted price for use within your organization. Certificates will be issued for 5 employees.

    Includes:
    • Deep Learning with PyTorch ( Python )
    • CV II : Applications (C++ & Python)
    • CV I : Introduction (C++ & Python)
    • Complete Study Material (Text, Videos, Code, Labs, Projects)
    • Certificate of Completion
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    Corporate Bundle [10X]

    Corporate Discount : 22%
    Get 10 Copies of the Complete Bundle at a discounted price for use within your organization. Certificates will be issued for 10 employees.

    Includes:
    • 10× Deep Learning with PyTorch ( Python )
    • 10× CV II : Applications (C++ & Python)
    • 10× CV I : Introduction (C++ & Python)
    • 10× Complete Study Material (Text, Videos, Code, Labs, Projects)
    • 10× Certificate of Completion
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Funding period

- (30 days)