course
Scalable AI Models with PyTorch Lightning
मध्यवर्तीकौशल स्तर
अद्यतन 05/2025कोर्स मुफ्त में शुरू करें
इसमें शामिल हैअधिमूल्य or टीमें
PyTorchArtificial Intelligence3 घंटा10 videos30 exercises2,400 एक्सपीउपलब्धि का कथन
अपना निःशुल्क खाता बनाएँ
या
जारी रखने पर, आप हमारी उपयोग की शर्तें, हमारी गोपनीयता नीति को स्वीकार करते हैं और यह भी कि आपका डेटा संयुक्त राज्य अमेरिका में संग्रहीत किया जाता है।हजारों कंपनियों में कार्यरत शिक्षार्थियों द्वारा पसंद किया जाता है
दो या दो से अधिक लोगों को प्रशिक्षण देना?
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Foundations of Scalable AI
This course takes you on a journey through the fundamentals of scalable AI. You’ll begin by learning how PyTorch Lightning streamlines the model development lifecycle by reducing boilerplate. Through guided examples, you’ll see how to break complex neural networks into reusable components, allowing you to maintain code quality even as your projects grow in scope.Advanced Optimization Techniques
You’ll also master optimization techniques, such as adaptive optimizers, model pruning, and quantization. You’ll see firsthand how small changes in training strategy can yield significant gains in speed and accuracy, and you’ll learn how to optimize your training loops to eliminate bottlenecks.Production-Ready Deployment
By the end of the course, you’ll have gained the skills to take a prototype all the way to production, and you’ll have a portfolio of modular, optimized, and deployable AI solutions ready to tackle real-world challenges.आवश्यक शर्तें
Intermediate Deep Learning with PyTorch1
Building Scalable Models with PyTorch Lightning
In this chapter, we'll explore how PyTorch Lightning simplifies the development and deployment of scalable AI models. Starting with foundational concepts, we'll go through the core structure of a PyTorch Lightning project, including essential components like the LightningModule and Trainer, to set a strong foundation for more advanced AI solutions.
2
Advanced Techniques in PyTorch Lightning
We'll dive deeper into PyTorch Lightning to efficiently manage data and refine model training in this chapter. We'll learn how to create modular and reusable data workflows with LightningDataModule, evaluate your models accurately through validation and testing, and enhance training processes using Lightning Callbacks to automate model improvement and avoid overfitting.
3
Optimizing Models for Scalability
Learn to prepare deep learning models for real-world deployment by making them leaner and faster. This chapter introduces techniques such as dynamic quantization, pruning, and TorchScript conversion, helping you reduce model size and latency without sacrificing accuracy
Scalable AI Models with PyTorch Lightning
कोर्स पूरा
उपलब्धि प्रमाण पत्र अर्जित करें
इस क्रेडेंशियल को अपने लिंक्डइन प्रोफाइल, रिज्यूमे या सीवी में जोड़ें।इसे सोशल मीडिया पर और अपनी परफॉर्मेंस रिव्यू में साझा करें।
इसमें शामिल हैअधिमूल्य or टीमें
अभी दाखिला लेंजुड़ें 19 मिलियन शिक्षार्थी और आज ही Scalable AI Models with PyTorch Lightning शुरू करें!
अपना निःशुल्क खाता बनाएँ
या
जारी रखने पर, आप हमारी उपयोग की शर्तें, हमारी गोपनीयता नीति को स्वीकार करते हैं और यह भी कि आपका डेटा संयुक्त राज्य अमेरिका में संग्रहीत किया जाता है।