Gain Access to all Neuralearn Premium Courses including : - Deep Learning for Computer Vision , - Deep Learning for Natural Language Processing, - Deep Learning for Image Generation and - Deep Learning for Object Detection.

This course is a deep, hands-on engineering journey to code a complete LLM—specifically, the highly efficient and powerful Mistral 7B architecture—from scratch in PyTorch. We bridge the gap between abstract theory and practical, production-grade code. You won't just learn what Grouped-Query Attention is; you'll implement it. You won't just read about the KV Cache; you'll build it to accelerate your model's inference.

Learn the basics of Machine Learning. Dive deep into Deep Learning for Computer Vision Using TensorFlow 2. Master how to build, train, evaluate, test and Deploy Deep Learning Models. Understanding Key MLOps concepts. Going from beginner to solving real world problems efficiently!

Learn the basics of Machine Learning. Dive deep into Deep Learning for Natural Language Processing using TensorFlow 2 and Huggingface. Master how to build, train, evaluate, test and Deploy Deep Learning Models. Understanding Key MLOps concepts. Going from beginner to solving real world problems efficiently!

Learn the basics of Object Detection and Machine Learning. Dive deep into Deep Learning for Object Detection with YOLOX. Master how to prepare data, train, evaluate, test and Deploy Object Detection Models. Understanding Key MLOps concepts. Going from beginner to solving real world problems efficiently!

Learn the basics of Generative Adversarial Neural Networks. Dive deep into building GANs and Diffusion Models with TensorFlow 2. Master how to generate high quality images with modern GANs and Diffusion models. Going from beginner to solving real world problems efficiently!

Build AI Systems: Sports Analytics with YOLOv8, AI Interior Design with Stable Diffusion, Influencer Advert with Flux & Invoice Parsing with Llama 3