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Build Neural Networks, Computer Vision & Modern AI Systems
Become a Deep Learning Engineer in 8 Weeks. Build neural networks, computer vision models, and modern AI systems using PyTorch & TensorFlow.
Weeks 1-3
Weeks 4-6
Weeks 7-8
No dry theory. We build real projects from scratch.
The course is constantly updated as soon as new features appear.
Hands-on model building with PyTorch & TensorFlow
Learn real-world AI use cases: vision, text, and sequences
Get model optimization and deployment training
Prepares you for Deep Learning Engineer, AI Engineer, and ML Engineer roles
Build a CNN model to classify complex visual images.
Develop a sequence-based text analysis network.
Deploy a deep learning neural network as a web application.
Train or fine-tune a modern transformer model for specific tasks.