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Engineer Neural Networks with PyTorch and Transformers

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Overview

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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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