Topics

Duration

32 Weeks

Progress

0/20

Learning Progress0%

AI Roadmap

Large Language Models (LLMs)

Learning Path

Follow these concepts in order to master this topic.

Introduction to LLMs

How Large Language Models work

Tokens & Tokenization

Embeddings

Context Windows

Pre-training

Fine-training

Instruction Tuning

Parameter-Efficient Fine-Tuning (LoRA & QLoRA)

Retrieval-Augmented Generation (RAG)

Vector Databases

Prompt Engineering

System Prompts

Function Calling

Tool Use

AI Agents

Open-source LLMs (Llama, Mistral, Gemma, Qwen, DeepSeek)

Commercial Models (GPT, Claude, Gemeni)

Hallucinations & AI Safety

Evaluating LLMs

Building LLM Applications

Documentation

Official documentation and references.

Hugging Face LLM Course

Recommended

OpenAI API Documenation

LangChain Documentation

Video Courses

Large Language Models Explained

RAG & LLM Applications

2h 33m

Practice Websites

Practice what you've learned.

Hugging Face

LangChain

Google Colab

Projects

Apply what you've learned by building real projects.

Build an AI Chatbot using an LLM API

Beginner

Create a PDF Question-Answering Assistant with RAG

Intermediate

Develop a Multi-Agent AI Assistant with Tool Calling

Advanced