Artificial Intelligence – Easily Explained for Beginners

Simpliv

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Online

£ 150 + VAT

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Description

  • Type

    Course

  • Methodology

    Online

  • Start date

    Different dates available

This video course on artificial intelligence is aimed at beginners and is designed to teach you the basics within the historical development of AI. For this reason, our journey begins with the section "Introduction and historical background of AI".Topics and contents of the lessons:I. Introduction and historical backgroundWhat is AI - a philosophical consideration
Strong and Weak AI
The Turing Test
The birth of the AI
The era of great expectations
Catching up with reality
How to teach a machine to learn
Distributed systems in the AI
Deep Learning, Machine Learning, Natural Language ProcessingII. The general problem solverProof Program - Logical Theorist
Example from "Human Problem Solving" (Simon)
The structure of a problemIn this section, we first take up the initial techniques of AI. You will learn about the concepts and famous example systems that triggered this early phase of euphoria.III. Expert SystemsFactual knowledge and heuristic knowledge
Frames, Slots and Filler
Forward and backward chaining
The MYCIN Programme
Probabilities in expert systems
Example - Probability of hairline cracksIn this section, we discuss expert systems that, similar to the general problem solvers, only deal with specific problems. But instead, they use excessive rules and facts in the form of a knowledge base. IV. Neuronal NetworksThe human neuron
Signal processing of a neuron
The PerceptronThis section heralds a return to the idea of being able to reproduce the human brain and thus make it accessible to digital information processing in the form of neural networks. We look at the early approaches and highlight the ideas that were still missing to help neural networks achieve a breakthrough.V. Machine Learning (Deep Learning & Computer Vision)Example - potato harvest
The birth year of Deep Learning
Layers of deep learning networks
Machine Vision / Computer Vision
Convolutional Neural Network

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

???? You will learn to understand the structure and design of modern artificial intelligence systems
???? You will learn to distinguish between strong and weak AI
???? You will learn what "Deep Learning" is
???? You will learn what "Machine Learning" is
???? What is the structure of a problem
⛓️ You will learn about forward and backward chaining
???? Learn about probabilities in expert systems
???? You will learn about the human neuron
???? Learn about the layers in deep learning networks
????️ You will learn about machine vision / computer vision

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This centre's achievements

2021

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 4 years

Subjects

  • Systems
  • Works
  • Networks
  • Artificial Intelligence
  • Problem Solving

Course programme

Introduction 1 lecture 02:20 Introduction Introduction of the course. Introduction 1 lecture 02:20 Introduction Introduction of the course. Introduction Introduction of the course. Introduction Introduction of the course. Introduction Introduction of the course. Introduction Introduction of the course. Introduction of the course. Introduction of the course. History of AI 1 lecture 13:24 History of AI Get to know the early visionaries of AI and their dreams. History of AI 1 lecture 13:24 History of AI Get to know the early visionaries of AI and their dreams. History of AI Get to know the early visionaries of AI and their dreams. History of AI Get to know the early visionaries of AI and their dreams. History of AI Get to know the early visionaries of AI and their dreams. History of AI Get to know the early visionaries of AI and their dreams. Get to know the early visionaries of AI and their dreams. Get to know the early visionaries of AI and their dreams. General Problem Solver 1 lecture 08:36 General Problem Solver Learn how, at the beginning of AI research, attempts were made to develop an algorithm which, with the help of problem reduction, should be able to imitate human problem-solving strategies. General Problem Solver 1 lecture 08:36 General Problem Solver Learn how, at the beginning of AI research, attempts were made to develop an algorithm which, with the help of problem reduction, should be able to imitate human problem-solving strategies. General Problem Solver Learn how, at the beginning of AI research, attempts were made to develop an algorithm which, with the help of problem reduction, should be able to imitate human problem-solving strategies. General Problem Solver Learn how, at the beginning of AI research, attempts were made to develop an algorithm which, with the help of problem reduction, should be able to imitate human problem-solving strategies. General Problem Solver Learn how, at the beginning of AI research, attempts were made to develop an algorithm which, with the help of problem reduction, should be able to imitate human problem-solving strategies. General Problem Solver Learn how, at the beginning of AI research, attempts were made to develop an algorithm which, with the help of problem reduction, should be able to imitate human problem-solving strategies. Learn how, at the beginning of AI research, attempts were made to develop an algorithm which, with the help of problem reduction, should be able to imitate human problem-solving strategies. Learn how, at the beginning of AI research, attempts were made to develop an algorithm which, with the help of problem reduction, should be able to imitate human problem-solving strategies. Expert Systems 1 lecture 11:32 Expert Systems You will learn how expert systems work. Expert Systems 1 lecture 11:32 Expert Systems You will learn how expert systems work. Expert Systems You will learn how expert systems work. Expert Systems You will learn how expert systems work. Expert Systems You will learn how expert systems work. Expert Systems You will learn how expert systems work. You will learn how expert systems work. You will learn how expert systems work. Neural Networks 1 lecture 06:25 Neural Networks You will learn how neuronal networks work. Neural Networks 1 lecture 06:25 Neural Networks You will learn how neuronal networks work. Neural Networks You will learn how neuronal networks work. Neural Networks You will learn how neuronal networks work. Neural Networks You will learn how neuronal networks work. Neural Networks You will learn how neuronal networks work. You will learn how neuronal networks work. You will learn how neuronal networks work. Machine Learning 1 lecture 12:54 Machine Learning You will learn how machine learning works. Machine Learning 1 lecture 12:54 Machine Learning You will learn how machine learning works. Machine Learning You will learn how machine learning works. Machine Learning You will learn how machine learning works. Machine Learning You will learn how machine learning works. Machine Learning You will learn how machine learning works. You will learn how machine learning works. You will learn how machine learning works.

Additional information

No prerequisites in the field of AI/AI necessary Everything is explained in detail in an understandable way

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Artificial Intelligence – Easily Explained for Beginners

£ 150 + VAT

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