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Bigger Perks with
Enterprise Access
When you build the future, you should not have to wait for it.
Our Courses
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
$249 $174
$249 $162
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
$599 $419
$599 $389
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
$999 $699
$999 $649
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
$999 $699
$999 $649
TXAP
Build systems and applications using advanced Computer Vision and Deep Learning techniques, and understand deployment using cloud-based services.
Available in Python |
$999
$999 $699
$999 $649
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
$299 $209
$299 $194
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
$249 $174
$249 $162
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
$999 $699
$999 $649
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
$299 $209
$299 $194
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
$999 $699
$999 $649
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
$599 $419
$599 $389
TXAP
Build systems and applications using advanced Computer Vision and Deep Learning techniques, and understand deployment using cloud-based services.
Available in Python |
$999
$999 $699
$999 $649
Need clarification?
We’re here to assist with any questions!
CVDL Master Program
This is the world’s most comprehensive curation of beginner to expert level courses in Computer Vision, Deep Learning, and AI. Prepare yourself for an exciting journey into the world of AI.
No. of courses
06
Available In
C++ / Python
Price
$1,749
Program Journey
MOCV
Mastering OpenCV
with Python
WHAT WILL YOU LEARN?
- Basic Image Operations
- Image Analysis & Enhancement Techniques
- Image Registration, Homography & Feature Matching
- Face Detection & Landmarks Detection With OpenCV DNN
- Object Detection, Text Detection & OCR
- Super Resolution and Computational Photography In Images
- Human Pose Estimation & Person Segmentation Using MediaPipe
- Deploy Web Apps On AWS, GCP & Azure Using Streamlit
Tool Kit
CVIP
Fundamentals of Computer Vision
& Image Processing
WHAT WILL YOU LEARN?
- Getting Started With OpenCV & Image Processing
- Binary Image Processing
- Convolution, Filtering & Image Enhancement
- Advanced Image Processing & Computational Photography
- Geometric Transforms & Image Features
- Image Recognition & Segmentation
- Video Analysis, Motion Estimation & Object Tracking
- Deep Learning With OpenCV
- Object Detection & Face Detection
Tool Kit

DLPT
Deep Learning
with PyTorch 2.x
WHAT WILL YOU LEARN?
- Introduction To PyTorch & NumPy
- Neural Networks & Their Building Blocks
- Convolutional Neural Networks For Image Classification
- Advanced Concepts & Practical Tips For Training Deep Neural Networks
- Object Detection & Image Segmentation
- Pose Estimation Using DensePose
- Azure Deployment & Cognitive Services
- LibTorch: The C++ Frontend For PyTorch
- Basics Of Generative Adversarial Networks
Tool Kit
DLTK
Deep Learning with
TensorFlow & Keras
WHAT WILL YOU LEARN?
- Getting Started with TensorFlow & Keras
- Neural Networks Basics
- Convolutional Neural Networks
- Deep Neural Networks
- Best Practices in Deep Learning
- Object Detection
- Single Stage Object Detectors
- TensorFlow Object Detection API
- Image Segmentation Basics
- Image Segmentation Models
- Pose Estimation
- Generative Adversarial Networks (GANS)
Tool Kit
TXAP
Advanced Vision Applications with DL & Transformers
WHAT WILL YOU LEARN?
- Facial Landmark Detection
- Face Applications Like Snapchat Filters
- Face Recognition & Applications
- Deep Learning For Image Classification
- Transfer Learning & Fine-Tuning
- Object Detection Using YOLO
- Text Detection & OCR
- Case Study: Automatic Number Plate Recognition
- Deploy Applications Using GCP & AWS
Tool Kit

GENAI
Mastering Generative
AI for Art
WHAT WILL YOU LEARN?
- Generative AI Basics
- Generative AI with OpenAI
- Generating Images with MidJourney
- Introduction to Stable Diffusion
- Diving Deeper into Stable Diffusion
- Image Editing Techniques with ControlNet
- Generating Animations from Images
- Creating Avatars using DreamBooth
- Finetuning Stable Diffusion with Textual Inversion
- Finetuning Stable Diffusion using LoRA
Tool Kit

Pricing
Course
Program 1
CVDL
Essentials
Program 2
CVDL
Professional
Program 3
CVDL
Expert
Program 4
CVDL
Master
Mastering OpenCV with
Python (Python)
Mastering OpenCV with Python (Python)
Fundamentals of CV & IP
Fundamentals of Computer Vision & Image Processing (Python or C++)
Deep Learning With PyTorch
Deep Learning With PyTorch
TensorFlow post purchase.
TensorFlow post purchase.
DL with TensorFlow & Keras
Deep Learning with TensorFlow & Keras (Python)
TensorFlow post purchase.
TensorFlow post purchase.
Advanced Vision Applications with DL & Transformers
Advanced Vision Applications with DL & Transformers
Mastering Generative AI for Art (Python)
Mastering Generative AI for Art (Python)
Course 1
Mastering OpenCV
with Python
Learn to build exciting OpenCV applications and start your AI journey.
$249
$174
Course 2
Fundamentals of Computer Vision
& Image Processing
Build a solid foundation in Image Processing and Computer Vision
$599
$419
Course 3
Deep Learning
with PyTorch 2.x
Build a strong competence in Deep Learning (PyTorch).
$999
$699
Course 4
Deep Learning with
TensorFlow & Keras
Build a strong competence in Deep Learning (TensorFlow & Keras).
$999
$699
Course 5
Advanced Vision Applications with DL & Transformers
Build interesting applications using CV & DL.
$999
$699
Course 6
Mastering Generative
AI for Art
Dive deep into Stable Diffusion. Learn all the techniques of generating images
$299
$209
Certificates
You will receive a Certificate of Excellence if you score more than 70% marks on the graded quizzes + assignments + projects.
Graduation Certificate
Certificate of Excellence
Submit the form below,
Initiate your request
Frequently Asked Questions
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?
What should I do if I need assistance with the course content?
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.
Is it possible to share an account with a friend if I cannot afford the course?
I've already paid for the course, but I haven't received any enrollment information.
Am I eligible for a refund if I'm unsatisfied with a course?
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.