Learn Large Language Models (LLMs) with Python and LangChain | Udemy

Unlock the power of Large Language Models (LLMs) and bring cutting-edge AI to your projects! This beginner-friendly yet comprehensive course takes you deep into the world of transformer-based models — from foundational architectures like BERT and RoBERTa, to generative giants like GPT and Meta’s LLaMA.

But we don’t stop there.

You’ll also explore Retrieval-Augmented Generation (RAG) — one of the most powerful methods to enhance LLMs with real-time, context-aware information retrieval. Learn how RAG bridges the gap between static models and dynamic, knowledge-grounded generation — perfect for applications like chatbots, enterprise search, and AI assistants.

Whether you’re a beginner Python developer or someone curious about how LLMs really work, this course will give you the theory, hands-on skills, and real-world insights to work confidently with modern AI tools.

What You’ll Learn

Section 1 – Transformers

• word embeddings
• positional embeddings and encoding
• self-attention mechanism
• masking
• multi-head architecture
• how to train a transformer architecture
• transformer architectures: GPT, BERT and LLaMA

Section 2 – Encoder-Only Architectures

• BERT fundamentals
• pre-training and fine-tuning the model
• the [CLS] token
• BERT and RoBERTa
• sentiment analysis, text classification and question answering with BERT

Section 3 – Decoder-Only Architectures

• GPT and LLaMA fundamentals
• reinforcement learning from human feedback (RLHF)
• fine-tuning decoder-only architectures
• LoRA and QLoRA
• fine-tuning models on custom dataset

Section 4 – Retrieval-Augmented Generation (RAG)

• what is RAG?
• semantic search and vector databases
• LSH and HNSW algorithms
• using RAG with PDF files

Section 5 – Prompt Engineering

• prompt engineering fundamentals
• zero-shot prompting
• few-shot prompting
• chain of thoughts (CoT)
• prompt chaining methods

Join the course today and start your journey into the world of Large Language Models and Retrieval-Augmented Generation. Whether you’re building smarter apps, enhancing your AI knowledge, or simply exploring the future of language technology — this course will give you the tools and confidence to level up.

Enroll now and start building with the AI models shaping the future. Let’s get learning!