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Engineer Neural Networks with PyTorch and Transformers

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Learn to build production-ready neural networks with PyTorch, including finetuning transformers, in this hands-on path.

Syllabus

Welcome to the Engineer Neural Networks Skill Path

Welcome to the Engineer Neural Networks Skill Path!

Neural Network Architectures

Learn neural network architectures with PyTorch to build deep learning models for image, text, and sequential data tasks.

Introduction to AI Transformer

Learn about what transformers are (the T of GPT) and how to work with them using Hugging Face libraries

Finetuning Transformer Models

Master the art of LLM finetuning with LoRA, QLoRA, and Hugging Face. Learn how to prepare, train and optimize models for specific tasks efficiently.

Engineer Neural Networks Portfolio Project: Intent Classification

Demonstrate your ability to build an end-to-end AI engineering project for an NLP text classification task by finetuning a transformer-based model with LoRA.

Engineer Neural Networks Skill Path Next Steps

Engineer Neural Networks Skill Path Next Steps!

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