275+ Hours of In-Depth Training

Become an AI Researcher,Not Just a Coder.

Master Deep Learning & Generative Ai From first Principles with Ali Hassan Abbas

What You will Learn in this course?

Meet Your Instructor: Ali Hassan Abbas

Trusted by the Next Generation of AI Researchers

Join a global community of engineers and scientists who have moved beyond "black-box" tutorials to master Deep Learning from first principles.

I spent months trying to understand Transformers through short tutorials, but I always felt like I was missing something. Ali’s first-principles approach changed everything. Building a Vision Transformer.

Dr Azlan MS Data Science Student

I’ve been a Web Developer for 5 years, but I wanted to move into AI. Most tutorials are just 'copy-paste,' but Ali's first-principles approach helped me understand how neural networks actually think.

Zoya Ahmed Senior AI Engineer

The depth of the Transformers and Vision Transformers (ViT) modules is unmatched. Building these from research papers in PyTorch gave me the confidence to start my own AI research projects here in Islamabad.

Bilal Mansoor Computer Vision Researcher

275+ hours of content is a massive commitment, but every minute is worth it. Ali explains complex topics like Backpropagation and Gradients in a way that is easy to grasp for the local developer community.

Usama Bin Tariq Machine Learning Enthusiast

Frequently
Asked Questions

You get lifetime access to all 275+ hours of video lectures, PyTorch coding notebooks, and pre-built datasets. You can learn at your own pace and revisit the complex research papers and implementations whenever you need them.

This course is designed for aspiring AI researchers, data scientists, and engineers who want to go beyond the basics. While we start from the mathematical foundations, having a basic understanding of Python is recommended. We move from beginner concepts to advanced, research-grade architectures.

Yes. Once you complete all the modules and the hands-on projects (including Transformers and Generative models), you will receive a professional Certificate of Completion from MRELAN to showcase on your LinkedIn or resume.

No. While a GPU is great, we teach you how to use Google Colab and VS Code with cloud resources for free. Every project in this course is designed to be accessible, and we provide guidance on setting up your environment on Windows, macOS, or Linux.

We teach "Math for AI" from first principles. If you can follow basic logic, you can learn the Linear Algebra and Calculus we use. We don't just show formulas; we explain how they transform into PyTorch code, ensuring you understand the "why" behind the gradients.

Yes. We support various payment methods, including bank transfers and local digital wallets. If you have any trouble with the checkout process, please contact us.

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