Elexa AI
AI Learning Path

The Order to Learn AI, Step by Step

The most reliable way to learn AI is in this order: Python basics, then machine learning, deep learning, natural language processing (NLP) and retrieval-augmented generation (RAG), and finally building a complete AI application. At about an hour a day, the path takes around four months once you know basic Python.

The six stages

  1. 0

    Python basics

    2 to 4 weeks at 1 hour a day

    Variables, loops, functions, lists and reading files

    Before you start: Nothing

    Python playbook coming soon. Until then, the free official Python tutorial is enough.
  2. 1

    Machine Learning

    3 to 5 weeks at 1 hour a day

    Preparing data, training models with scikit-learn and measuring how good they are

    Before you start: Python basics

    Machine Learning with Python →
  3. 2

    Deep Learning

    4 to 6 weeks at 1 hour a day

    Neural networks for images and text with PyTorch

    Before you start: Machine learning

    Deep Learning with PyTorch: coming soon
  4. 3

    NLP

    4 to 5 weeks at 1 hour a day

    Cleaning text, classifying it and using transformer models

    Before you start: Machine learning

    NLP in Python: coming soon
  5. 4

    RAG

    3 to 4 weeks at 1 hour a day

    Building a chatbot that answers from your own documents

    Before you start: NLP helps

    Build a RAG Chatbot: coming soon
  6. 5

    A complete AI app

    6 to 8 weeks at 1 hour a day

    Backend, AI pipeline, live chat and a React dashboard in one product

    Before you start: RAG

    AI Customer Support Platform →

Not a developer?

Skip the coding path and start with AI Mastery for Professionals. It teaches you to use AI tools at work with no coding.

Why this order works

Each stage uses what the one before it taught. Machine learning teaches you how models learn from data and how to test them. Deep learning builds on that with neural networks. NLP applies those networks to text. RAG combines text models with search over your own documents. The final stage puts everything into one application people can use.

Skipping ahead is possible, but people who jump straight to RAG often struggle to fix problems, because they do not yet know how models are tested and why they fail.

Save with a bundle

AI Starter Bundle

$99

Stages 1 to 3: Machine Learning, Deep Learning and NLP.

Complete AI Library

$129

All six playbooks: the whole path plus AI for Professionals.

See all prices →

Common questions

How long does it take to learn AI?

After basic Python, about four months at an hour a day to work through machine learning, deep learning, NLP, RAG and a complete AI app. Faster if you study more each day.

Do I need advanced maths to learn AI?

No. School-level maths is enough to start. Each idea is explained with examples, and the code does the calculations.

Can I skip machine learning and start with LLMs or RAG?

You can, but it is harder. Machine learning teaches you how models are tested and why they fail, which you need when your AI app gives wrong answers.

Which bundle covers the learning path?

The Complete AI Library covers every stage. The AI Starter Bundle covers the first three: machine learning, deep learning and NLP.

Start with Stage 1

Begin with Machine Learning, or save with a bundle and get the whole path.

Start with Machine Learning →See bundles