BeginnerAI Learning Path

This learning path is designed for those who are new to AI and want to build a strong foundation in the fundamentals. Follow the steps below to get started on your journey.

Step 1: Introduction to AI

Learn what AI is, its history, and its various applications. Understand why AI is a key technology of the future.

Step 2: Basic Python Programming

Get familiar with Python programming, a popular language in AI development. Learn the syntax, data types, and basic libraries.

Step 3: Linear Algebra & Calculus Basics

Learn essential math topics like linear algebra and calculus that are used in machine learning algorithms.

Step 4: Introduction to Machine Learning

Get a basic understanding of machine learning concepts, including supervised, unsupervised, and reinforcement learning.

Step 5: Basic ML Projects

Start working on simple machine learning projects like predicting house prices or classifying images to reinforce your learning.

Step 6: Introduction to Neural Networks

Learn the basics of neural networks and deep learning, the technologies behind modern AI breakthroughs.

Step 7: Simple AI Applications

Develop basic AI applications like chatbots or recommendation systems to understand how AI is applied in real-world scenarios.