Software engineers or developers with basic Python programming skills; Aspiring or early-career Machine Learning engineers; Data scientists looking to strengthen their deep learning foundation; AI enthusiasts who understand ML concepts (like supervised learning, overfitting, optimization).; Professionals aiming to transition into AI/ML roles; Students or researchers who want practical hands-on experience with PyTorch.; Teams or individuals tasked with building, training, or deploying ML models; Anyone who has basic knowledge of vectors, matrices, and calculus (helpful but not mandatory); Cloud familiarity (e.g., using Colab or cloud notebooks) is beneficial.
Artificial Intelligence and Machine Learning
Foundations of Deep Learning with PyTorch: From Tensors to Real-World Models
Delivered through StorSoft's authorized training partners, the Foundations of Deep Learning with PyTorch: From Tensors to Real-World Models course builds working proficiency across artificial intelligence and machine learning. It targets practitioners who already work in the area and need deeper, applied depth. Delivery is available in virtual classroom live formats, typically over 3 days. Relevant background is recommended before enrollment.
Artificial Intelligence and Machine Learning
Before you enroll
Prerequisites and certification path.
Delivered through StorSoft
Schedule this course for your team.
StorSoft coordinates delivery through its authorized training partners, including Global Knowledge, and can align scheduling, delivery mode, and cohort size to your program. Course facts are maintained from partner catalogs; confirm current pricing and dates when you submit a request.