Mastering Generative
AI for Art
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.
Course Code
GENAI
Type
Foundational
Available in
Python
Price
$299
(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.)
Lifetime Access
Official OpenCV Certification
Active Community Support
30-Day Money-Back Guarantee
A glimpse of the topics covered
Course Topics
-
Generative AI Basics
- Generative AI Landscape
- Evolution of Generative AI
-
Generative AI with OpenAI
- Generating Images with DALLE2
- Crash Course on ChatGPT
- Inpainting and Outpainting
-
Generating Images with MidJourney
- Generating images on Discord
- Understanding Generation parameters
-
Introduction to Stable Diffusion
- Setting up the Automatic1111 WebUI
- Using DreamStudio
- Basic Prompt Engineering with Stable Diffusion
-
Diving Deeper into Stable Diffusion
- Advanced Controls like XYZ Plot, Prompt Strengths
- Editing Images using img2img and Inpainting
- Getting 3rd Party Models
- Using extensions with the webui
-
Image Editing Techniques with ControlNet
- Creating applications using InstructPix2Pix
- Advanced techniques like ControlNet
- Image Upscaling
-
Generating Animations from Images
- Use Images to create animations
-
Creating Avatars using DreamBooth
- Use your own images to create avatars
-
Finetuning Stable Diffusion with Textual Inversion
- Use Textual Inversion for creating custom embeddings
-
Finetuning Stable Diffusion using LoRA
- Train your own models faster with LoRA
Tool Kit
Download Curriculum PDF
Testimonials
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.
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.
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.
Certificates
To receive a Certificate of Completion from OpenCV.org, you need to complete the graded quizzes + assignments + projects, with more than 50% marks.
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.
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
Advanced Vision Applications with DL & Transformers - $999
Mastering Generative AI
for Art (Python) - $299
Standard Retail
Summer Sale Pricing
30% Discounted Pricing
Essentials
Professional
Expert
Courses Offered
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
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
TXAP
Build systems and applications using advanced Computer Vision and Deep Learning techniques, and understand deployment using cloud-based services.
Available in Python
|
$999
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
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
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
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
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
TXAP
Build systems and applications using advanced Computer Vision and Deep Learning techniques, and understand deployment using cloud-based services.
Available in Python
|
$999
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
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
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
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.
How long can I access the course materials?
Will I have lifetime access to the certificate?
Which course bundle is the best choice for me?
What happens to my course access after 3 Months
Is the reward in the form of course credit or Cash in Bank?
Can I start multiple courses at once?
Are there other benefits for completing courses within 100 Days?
Is the Mastering Generative AI for Art course included in the 100-Day AI Challenge?
Can’t decide
which course to take?
Refund Policy
For all refund requests and queries, please write to us at courses@opencv.org.
Courses
You will have a window of 30 days after you start the course to request a full refund.
Programs
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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