This course is for AI practitioners and NLP enthusiasts who want to go beyond theory and get their hands dirty with cutting-edge transformer models. You’ll explore how to fine-tune and deploy pre-trained models like BERT, RoBERTa, and GPT for real-world tasks such as sentiment analysis, text classification, and question answering. Using tools like Hugging Face Transformers and PyTorch, you’ll walk away with the skills to build production-ready NLP systems powered by state-of-the-art architectures.
Day 1: Transformers and NLP – The Foundation
Session 1: From RNNs to Transformers – What Changed?
The rise of attention mechanisms
Overview of BERT, GPT, RoBERTa, and T5
Session 2: Setting Up Your NLP Toolkit
Installing Hugging Face, PyTorch, and Datasets
Exploring the Hugging Face model hub
Day 2: Fine-Tuning and Customization
Session 1: Fine-Tuning Transformer Models
Sentiment analysis and text classification pipelines
Training your model on a custom dataset
Session 2: Question Answering and Token-Level Tasks
Building QA systems with pre-trained models
Named entity recognition and token classification
Day 3: Evaluation, Optimization, and Generative AI
Session 1: Evaluating NLP Model Performance
Accuracy, F1 score, BLEU, and ROUGE
Error analysis and performance tuning
Session 2: Intro to Generative AI in NLP
Text generation with GPT-based models
Prompt engineering basics
Day 4: Deployment and Project Work
Session 1: Model Optimization and Export
Using ONNX or TorchScript for deployment
Reducing model size and improving inference speed
Session 2: Final Capstone Project
Choose an NLP task, fine-tune a model, and deploy
Share insights and peer-review each project
We are open to customizing this program to align with your specific learning objectives. If your team has particular goals or areas they wish to focus on, we would be happy to tailor the course outline to meet those needs and ensure the program supports the achievement of your desired outcomes.
This course is for developers who want to get serious about building robust, scalable backend systems using Python and PostgreSQL.
In today’s data-driven world, it’s rarely SQL or NoSQL—it’s both.
This course is made for data professionals who want to go beyond running SQL queries and start designing structured, scalable, and analytics-ready data warehouses
This course is for AI practitioners and NLP enthusiasts who want to go beyond theory and get their hands dirty with cutting-edge transformer models.
This course is designed for developers who want to go beyond writing queries and start thinking like performance engineers.