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Build a Custom AI Tiny LLM from Scratch Using PyTorch Part-1, A Complete Guide & Chatbot : Bootcamp to create your own ChatGPT from Scratch.
Description
Have you ever wondered how ChatGPT, BERT, or other powerful language models actually work? What if you could build your own Tiny Language Model (LLM) from scratch — without using any pre-trained weights, cloud GPUs, or giant datasets?
In this hands-on course, you will learn how to build a complete AI chatbot powered by a transformer-based language model using PyTorch, all from scratch and on your local machine. This course is designed for anyone who wants to truly understand how LLMs work — from data tokenization to training and inference.
You will begin with fundamentals of PyTorch, then build your own TinyGPT model (a simplified GPT-style transformer). You’ll create your own word-level tokenizer, design a training dataset, implement a custom transformer model, train it on CPU, and finally deploy it as an interactive chatbot via CLI and (optionally) a browser UI.
This is not just about running code — you’ll understand the core concepts behind transformers, embeddings, attention, sampling, and text generation, empowering you to build your own AI applications in the future.
By the end of this course, you will have built a real, working AI chatbot powered entirely by your own model — and you’ll truly understand how it works.
Course features:
- Beginner-friendly
- Hands-on coding
- Real-world project
- Pure CPU-based
What Learners Will Build
- A tiny LLM (language model)
- Custom tokenizer (word-level)
- PyTorch model architecture
- Training and inference pipeline
- Interactive chatbot (terminal + web)
- Full understanding of attention, generation, and sampling
- The confidence to build their own domain-specific chatbot
Who this course is for:
- Aspiring AI and ML developers who want to go beyond pre-trained models and understand how language models are built from scratch
- Developers and engineers looking to deepen their knowledge of PyTorch, NLP, and transformer architecture through practical, hands-on projects
- Computer science and data science students who want to build their own language model and chatbot as a portfolio project
- Educators and trainers who want to teach the principles behind GPT-like models in a lightweight and understandable way
- Tech enthusiasts and hobbyists curious about how ChatGPT works and eager to create their own tiny version of it – fully offline, with no APIs
- This course is not for those looking for drag-and-drop tools or pre-trained model fine-tuning only – here, you will build and train everything from the ground up!
