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Beginner

AI for Beginners

A comprehensive course for beginners to understand the basics of AI, machine learning, and neural networks with hands-on projects. The AI for Beginners curriculum and material can be downloaded directly from GitHub if you want to follow the hands-on labs.

32 Lessons

8 weeks

Access the Labs from GitHub

Course Lessons

Build your Fundamental AI knowledge step by step with practical examples and exercises by following these individual lessons.

The AI for Beginners curriculum and all labs can be downloaded directly from GitHub if you want to follow the hands-on labs.

01

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Beginner

AI for Beginners - Course Materials

02

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Overview

03

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Introduction to AI

04

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Knowledge Representation and Expert Systems

05

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Introduction to Neural Networks

06

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Introduction to Neural Networks: Perceptron

07

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Introduction to Neural Networks. Multi-Layered Perceptron

08

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Neural Network Frameworks

09

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Computer Vision

10

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Introduction to Computer Vision

11

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Convolutional Neural Networks

12

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Pre-trained Networks and Transfer Learning

13

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Autoencoders

14

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Generative Adversarial Networks

15

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Object Detection

16

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Segmentation

17

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Natural Language Processing

18

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Representing Text as Tensors

19

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Embeddings

20

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Language Modeling

21

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Recurrent Neural Networks

22

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Generative networks

23

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Attention Mechanisms and Transformers

24

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Named Entity Recognition

25

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Pre-Trained Large Language Models

26

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Genetic Algorithms

27

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Deep Reinforcement Learning

28

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Multi-Agent Systems

29

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Ethical and Responsible AI

30

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Multi-Modal Networks

31

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Well-Known CNN Architectures

32

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Deep Learning Training Tricks