05_advanced_topics

Advanced Topics in AI Engineering

Introduction

This guide covers advanced topics in AI engineering, including model optimization, deployment strategies, and infrastructure management. These topics are crucial for building production-ready AI systems.

Topics Covered

1. Quantization

• Linear Quantization
• Weights Packing
• Tools:
  • PyTorch Quantization
  • Quanto

2. Deployment

• Model Serving
• Cloud Deployment
• Edge Deployment
• Tools:
  • TensorFlow Serving
  • TorchServe
  • AWS SageMaker

3. Optimization

• Hyperparameter Tuning
• Model Architecture Optimization
• Code Optimization
• Tools:
  • Optuna
  • Ray Tune

Learning Resources

Documentation and Guides

• PyTorch Quantization Documentation
• TensorFlow Serving Documentation
• AWS SageMaker Documentation
• Optuna Documentation
• Ray Tune Documentation

Courses and Tutorials

• Quantization in Depth
• Best Optimization Courses & Certificates
• AI Courses for Machine Learning Engineers