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PyTorch has become one of the most widely used deep learning frameworks in research and production. But to scale models effectively, you must understand not only its high-level APIs—but also its core primitives and distributed training architecture. In this video, we break down PyTorch foundations from tensors to multi-GPU systems. This Uplatz Explainer video starts with the fundamentals of PyTorch. We explain tensors, automatic differentiation (autograd), computational graphs, modules, and optimizers. You’ll understand how forward and backward passes are constructed and how gradients flow through neural networks. We then dive into model construction and training workflows. Topics include defining custom layers, loss functions, training loops, GPU acceleration with CUDA, mixed precision training, and performance profiling. You’ll see how PyTorch abstracts complexity while retaining flexibility. The video also explores distributed training systems in PyTorch. We cover Distributed Data Parallel (DDP), Fully Sharded Data Parallel (FSDP), gradient synchronization, communication backends, and scaling across multi-node clusters. You’ll understand how PyTorch manages communication, sharding, and parallelism at scale. Finally, we connect these foundations to real-world AI systems—training large language models, computer vision architectures, recommendation systems, and research pipelines. By the end of this video, you’ll have a structured framework for moving from basic PyTorch scripts to scalable distributed training architectures. This video is ideal for ML engineers, AI researchers, MLOps teams, students, and anyone building deep learning systems with PyTorch. #PyTorch #DeepLearning #DistributedTraining #AIInfrastructure #MachineLearning #MLOps #GPUComputing #DataParallelism #ScalableAI #Uplatz ---------------------------------------------- 🌐 Welcome to Uplatz – Your Gateway to Career Transformation! To access full courses or training bundles: 🌐 https://uplatz.com 📧 support@uplatz.com 🎓 About Uplatz Uplatz is a global leader in online IT and professional training, offering comprehensive courses in AI, machine learning, data science, cloud computing, cybersecurity, and enterprise technologies such as SAP, Oracle, Salesforce, and ServiceNow. With expert-led programs and real-world learning paths, Uplatz empowers learners and organizations across 190+ countries to build future-ready skills and thrive in the digital era. 📘 Explore Uplatz Course Portfolio Learn the most in-demand and emerging technologies with Uplatz: ✅ AI & Machine Learning – Agentic AI, LLMs, LangChain, Deep Learning, MLOps, LLMOps ✅ Cloud & DevOps – AWS, Azure, GCP, Docker, Kubernetes, Terraform, CI/CD ✅ Data & Analytics – Data Science, Data Engineering, Power BI, Tableau, Big Data (Spark, Kafka) ✅ Programming & Frameworks – Python, FastAPI, Django, Java, JavaScript, SQL ✅ Cybersecurity & Blockchain – Ethical Hacking, Cloud Security, Zero Trust, Blockchain & Web3 ✅ IoT & Embedded Systems – IoT Platforms, Edge Computing, Embedded C, Microcontrollers ✅ ERP & CRM – SAP (all modules), Salesforce, Oracle ERP, Microsoft Dynamics ✅ Web & App Development – Full-Stack Development, React, Angular, Node.js, Flutter 🎓 Master cutting-edge skills. Build your tech career with Uplatz. 🌐 Learn more: https://uplatz.com 🎯 Why Choose Uplatz ✔️ Job-focused, project-based learning ✔️ Globally recognized certifications ✔️ Lifetime access & affordable pricing ✔️ Career guidance and mentorship 🔔 Subscribe for weekly tech tutorials, demos, and success stories. 📲 Follow us on LinkedIn, Instagram, Twitter, and Facebook. #Uplatz #Tech #Technology #MachineLearning #CloudComputing #Learning