Natural Language Processing (NLP) has evolved rapidly, transforming how machines understand and generate human language. At the forefront of this revolution are Large Language Models (LLMs), which power everything from chatbots to advanced AI systems. This beginner-friendly course takes you on a guided journey from the foundations of NLP to building and deploying your very own LLM-powered application.
What’s in this course?
This course provides a step-by-step introduction to NLP, the rise of transformer-based models, and the practical use of pre-trained LLMs like BERT, GPT, and Llama. Whether you’re a student, developer, or enthusiast, you’ll gain a practical understanding of how modern language models work and how to leverage them using Python.
Through engaging lectures, live demos, and real-world examples, you’ll learn:
- How NLP has evolved and the limitations of early rule-based methods
- The inner workings of transformer architecture
- Key differences between popular LLMs like BERT and GPT
- How to interact with LLMs using Hugging Face
- Prompt engineering techniques to guide model outputs
- How to integrate LLMs into real applications and optimize them for deployment
- Ethical challenges and the future scope of language models
- How to build and deploy your first LLM-powered chatbot using Flask
- Beginners in NLP & LLMs
- AI/ML Engineers
- Data Scientists & Developers working with text data and model integration
- Tech Leads & Product Managers exploring LLM applications in products
- AI/GenAI Enthusiasts curious to build and deploy their first LLM-based project
