Learn how to fine-tune BERT (110M parameters) for text classification in this 23-minute tutorial video. Walk through key concepts and example Python code for classifying phishing URLs. Explore fine-tuning techniques, understand BERT's architecture, and delve into text classification fundamentals. Gain practical insights with a real-world example of fine-tuning BERT to detect phishing URLs. Access provided resources including a blog post, GitHub repository, pre-trained model, and dataset to further enhance your understanding and implementation skills.