Deep Learning With PyTorch

Start solving Computer Vision problems using Deep Learning techniques and the PyTorch framework. Dive into the architecture of Neural Networks, and learn how to train and deploy them on the cloud.

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Course Code
DLPT

Type
Intermediate

Available in
Python

Price
$999

Prerequisites: Basic understanding of Computer Vision required

(Courses are (a little) oversubscribed and we apologize for your enrollment delay. As an apology, you will receive a 20% discount on all waitlist course purchases. The current wait time will be sent to you in the confirmation email.)

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A glimpse of the topics covered

Generative-Adversarial-Networks — Generative Adversarial Networks

Course Topics

Getting Started with PyTorch

Introduction to Artificial Intelligence
NumPy Refresher
Introduction to PyTorch
What is inside an ML algorithm?

Neural Networks

Understanding Neural Networks
Building Neural Networks in PyTorch
Building Blocks of a Neural Network
Multi-Class Classification using PyTorch

Convolutional Neural Networks

Image Classification
Convolutional Neural Networks
LeNet in PyTorch
Evaluation Metrics for Classification
Important CNN Architectures

Practical Considerations for Training Deep Neural Networks

Optimizers and LR Schedulers
Training Deep Networks
Using your own Data
Model Complexity, Generalization and Handling Overfitting
Gaining Insights

Best Practices in Deep Learning

Troubleshooting Training with TensorBoard
Transfer Learning and Fine-Tuning in PyTorch
Write your own Custom Dataset Class
PyTorch Lightning

Segmentation

Introduction to Semantic Segmentation
PyTorch Segmentation Models and Custom Dataset
Transposed Convolutions
Fully Convolutional Networks
UNet
Dilated Convolution
DeepLabV3
Instance Segmentation

Object Detection Fundamentals

Introduction to Object Detection
Hands on with Object Detection
Classification to Detection
Non Maximum Supression
Evaluation Metrics
Popular Object Detection Architecture

Object Detection Fine-tuning and Training

Understanding Faster RCNN
Detectron 2
Ultralytics YOLO
Create a Custom Object Detector

Introduction to Generative Adversarial Networks (GANs)

GANs

Pose Estimation

DensePose

Tool Kit

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Testimonials

The Computer Vision course offered by OpenCV University played a crucial role in starting my AI career. I landed a six figure consulting job in AI right after I graduated.

A year later I was hired at Tesla as a Data Engineer with double the compensation.

OpenCV University was the best investment in my AI career.

I am being promoted to Assistant Manager with a salary hike of almost 45%!

A huge part of this success is due to the skills I acquired through OpenCV University courses.

I am at the beginning of my AI journey but this early success is thrilling.

The OpenCV University program trained me in the art of building real-world CV and AI applications.

As an AI expert, I charge 2-3 times more on Upwork than in my previous role as a software developer.

The extra cash enabled me to bootstrap a startup I am working on.

I took OpenCV University courses in 2021. They played a significant role in the choice of algorithms, and the quality of the Autonomous Point of Purchase (A-PoP) product we built at Intuitivo, and we were able to raise $7.8M in 2022. I highly recommend OpenCV University courses for entrepreneurs, students, and professionals who want to start a career in AI.

At 45, I burned out as a race car engineer and took a low-stress job as a garbage collector. But I wanted more, so I learned Python and got into computer vision. After enrolling in OpenCV University, I landed a job as a computer vision software engineer with a great pay raise. Now, I’m doing work I enjoy in a field I love.

After taking the OpenCV courses, I launched my startup as a side project, and now it has grown into a full-time business with paying customers. The skills I learned from those courses helped me build a proctoring system in 2020, which is still being used today. OpenCV gave me the foundation I needed to turn my idea into a real business.

Certificates

To receive a Certificate of Completion from OpenCV.org, you need to complete the graded quizzes + assignments + projects, with more than 50% marks and within 6 months of enrolling in the course.

Graduation Certificate

Certificate of Completion

You will receive a Certificate of Excellence if you score more than 70% marks on the graded quizzes + assignments + projects within 6 months of enrolling in the course.

Honor Certificate

Certificate of Excellence

This course is available as part of the following Programs

Course

Mastering OpenCV with

Python (Python) - $249

Fundamentals of Computer

Vision & Image Processing
(Python or C++) - $599

Deep Learning with

PyTorch (Python) - $999

Deep Learning with TensorFlow & Keras (Python) - $999

Computer Vision & Deep Learning Applications (Python) - $699

Mastering Generative AI

for Art (Python) - $299

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Program 1
CVDL Essentials

Original price was: $1,248.Current price is: $1,099.

Program 2
CVDL Professional

Original price was: $1,947.Current price is: $1,499.

Program 3
CVDL Expert

Original price was: $2,597.Current price is: $1,999.

Program 4
CVDL Master

Original price was: $3,844.Current price is: $2,499.

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~~$1199~~$779

Program 3

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~~$1699~~$1104

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$1999

~~$1999~~$1299

Mastering OpenCV with Python - $249

Fundamentals of CV & IP - $599

Deep Learning With PyTorch - $999

DL with TensorFlow & Keras -$999

CV & DL Applications - $699

Mastering Generative AI for Art - $299

30-Day Refund; No Questions Asked

Courses Offered

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Fundamentals of Computer Vision
& Image Processing

CVIP

Build a solid understanding of OpenCV tools used for Image Processing, Computer Vision, and Video Processing, and lay a strong foundation for solving Computer Vision problems.

Available in Python & C++

$599

Mastering OpenCV
with Python

MOCV

Start your AI journey by learning the fundamentals of Image Processing and Computer Vision through 21 modules, video instructions, code explanations, and example applications.

Available in Python

$249

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Computer Vision & Deep Learning Applications

DLAP

Build systems and applications using advanced Computer Vision and Deep Learning techniques, and understand deployment using cloud-based services.

Available in Python

$699

Deep Learning with
TensorFlow & Keras

DLTK

Gain in-depth knowledge about Neural Networks, prepare datasets and study DeepNet architectures used for solving various Computer Vision problems.

Available in Python

$999

Deep Learning
with PyTorch 2.x

DLPT

Start solving Computer Vision problems using Deep Learning techniques and the PyTorch framework. Dive into the architecture of Neural Networks, and learn how to train and deploy them on the cloud.

Available in Python

$999

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Mastering Generative
AI for Art

GENAI

Dive deep into Stable Diffusion. Learn all the techniques of generating images, fine-tuning Stable Diffusion on your own images and even training a GPT language model.

Available in Python

$299

Frequently Asked Questions

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If I lack experience in Computer Vision, Machine Learning, or advanced Math, are these courses still appropriate for me?

Yes, our courses are designed to accommodate learners with varying levels of experience. All that is required is a basic understanding of at least one programming language (Python is preferable but not mandatory). We will walk you through the fundamental concepts, providing step-by-step guidance.

What are the prerequisites for enrolling in these courses?

To get the most from our courses, you should possess a working knowledge of Python or a similar programming language. For the courses offered in C++, you should have a basic proficiency in C++.

Aside from the programming experience mentioned above, the series of courses are designed to take you from the fundamentals in Image Processing and Computer Vision through more advanced topics in Deep Learning. If you are looking to jump in directly to our Deep Learning courses, then you should have a good understanding of the foundational material in Image Processing and Computer Vision.

Will I receive a certificate upon completing a course? What are the requirements?

Upon finishing a course, you will be awarded a certificate of completion from OpenCV.org. To qualify for the certificate, you must complete all graded quizzes, assignments, and projects, obtaining a score of at least 50% within six months of enrollment. If your score exceeds 70%, you will be granted an Honor Certificate.

What should I do if I need assistance with the course content?

Our team will be available in the course forum to address your questions and provide guidance as needed. We encourage students to post questions on the forum, as other students can often help. In fact, you will find that answering questions for other students will facilitate your own learning. However, rest assured that our instructors monitor the course forum, and we strive to respond within 24 hours. In the end, it’s a highly collaborative environment that allows everyone involved the opportunity to learn.

How is the course material structured?

The course content features a combination of theoretical explanations and practical code demonstrations delivered through both text and video formats. Quizzes, assignments, and projects of varying difficulty levels are also included. Students have the option to choose the assignments or projects they wish to work on, with each carrying a point value. We select the best "m" out of "n" assignments/projects to accommodate individual interests.

This approach allows students to focus on topics that pique their interest, enabling them to delve deeper by completing relevant assignments/projects while having the flexibility to skip topics they find less appealing.

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Is it possible to share an account with a friend if I cannot afford the course?

Yes, you can share an account with a friend. However, please note that if you both qualify for a certificate, we can only issue one certificate per account.

I've already paid for the course, but I haven't received any enrollment information.

Upon purchasing the course, you should have received an enrollment email. If it's not in your inbox, please check your spam folder. If you still cannot locate the email, reach out to us at [email protected] for assistance.

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Am I eligible for a refund if I'm unsatisfied with a course?

Absolutely. If you're not satisfied with a course, simply send us an email ([email protected]) within 30 days of the course enrollment date, and we will issue a full refund without any questions asked.

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What is the anticipated duration of each course?

The time it takes to complete a course depends on the number of hours you can dedicate weekly. Based on our observations, students typically finish the courses in the following timeframes:

Mastering OpenCV For Computer Vision: Approximately 2-4 weeks
Fundamentals Of Computer Vision & Image Processing: Roughly 3 months
Advanced Computer Vision and Deep Learning Applications: Around 3 months
Deep Learning With PyTorch: About 4-5 months
Deep Learning With TensorFlow & Keras: Approximately 4-5 months

Please note that taking the time to fully comprehend the course material is essential rather than rushing through it. This will ensure a deeper understanding and better retention of the content.

How long can I access the course materials?

We offer lifetime access to our courses, allowing you to use them as reference materials long after completion. Please note that for all courses except OpenCV Essentials, we provide online labs with Jupyter notebooks integrated into the course platform for assignment submissions.

Will I have lifetime access to the certificate?

Yes, you will have lifetime access to the certificate on the course platform. You will get a digital certificate after successfully completing the course and you can share this certificate on LinkedIn, Facebook and other platforms.

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Which course bundle is the best choice for me?

If you're looking for the most comprehensive option, the CV Master Bundle offers the complete set of courses provided by OpenCV.org. However, if the CV Master Bundle is too extensive or costly for your needs, we recommend the CV DL Starter. This bundle equips you with a strong foundation in both traditional computer vision and modern deep learning approaches.

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For all refund requests and queries, please write to us at [email protected].

Courses

You will have a window of 30 days after you start the course to request a full refund.

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You will have a window of 30 days after you start the first course in the program to request a full refund. Refunds are offered for the entire program and not for individual courses within the program.

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