Email: sivavimelrajhen@gmail.com

Goal: Introduction to Transformers - Master the architecture that powers modern NLP, vision, and synthetic data generation systems.

Description: This practical and concept-rich course introduces you to the revolutionary Transformer architecture and how it’s used to understand language, generate text, and even synthesize tabular data. You’ll go beyond theory and get hands-on with real-world applications using pre-trained models and open-source tools.

What you'll learn and build:
~ The origin and inner workings of Transformer models, including self-attention and multi-head attention.
~ How Transformers replaced RNNs and LSTMs for natural language understanding and generation.
~ Building real NLP systems using BERT, GPT, and T5 with Hugging Face’s Transformers.
~ Generating synthetic tabular datasets with Transformer-based models like TableGPT and TabTransformer.
~ Hands-on examples for sentiment analysis, masked word prediction, and row-level synthetic data.
~ Pre-trained model usage, fine-tuning, and evaluation—all with code and free tools like Google Colab.

Included Modules:
• Transformers Explained
• Introduction to Transformer-based Natural Language Processing
• Synthetic Tabular Data Generation Using Transformers