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30-Day Money-Back Guarantee

This course includes:

  • 2 hours on-demand video
  • 97 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
Development Data Science Artificial Intelligence

Curso Básico: Fundamentos de Inteligência Artificial

Aprenda sobre Inteligência Artificial sem complicação (Learn about Artificial Intelligence without complication)!
Rating: 3.4 out of 53.4 (7 ratings)
38 students
Created by Christian Moura dos Santos
Last updated 2/2020
Portuguese
English, Portuguese
30-Day Money-Back Guarantee

What you'll learn

  • História Básica da Inteligência Artificial (Basic history of Artificial Intelligence)
  • Grafos, Matrizes de Adjacência e Árvores de Peso Mínimo (Graphs, Adjacence's Matrices & Minimun Weight Tree)
  • Busca por Largura e Busca em Profundidade (Breadth-First Search & Depth-First Search)
  • Busca Heurística com Best-First e A* (Heuristic Search Using Best-First and A* Algorithms)
  • Algoritmos Kruskal, Djikstra e Prim (Kruskal, Djikstra e Prim Algorithms)
  • Fundamentos de PEAS e Sistemas Multiagentes (PEAS & Multi-Agent Systems Fundamentals)
  • Busca Competitiva MINIMAX (Competitive Search MINIMAX)
  • Lógica Proposicional e Lógica Fuzzy (Propositional and Fuzzy Logics)
  • Resolução de Pathfinding (Pathfinding Resolution)
  • Redes Neurais Perceptron e BackPropagator (Perceptron and BackPropagator's Neural Artificial Networks)

Course content

11 sections • 37 lectures • 2h 11m total length

  • Preview01:38
  • Preview02:20
  • Preview03:17
  • Preview04:23

  • Tipos de Grafos (Types of Graphs)
    03:04
  • Matriz de Adjacência (Adjacence's Matrix)
    02:25
  • Busca em Largura (Breadth-First Search)
    04:34
  • Busca em Profundidade (Depth-First Search)
    04:15

  • Definição de Heurística (Heuristic's Definition)
    02:10
  • Algoritmo Best-First (Best-First's Algorithm)
    03:32
  • Algoritmo A* (A*'s Algorithm)
    04:22
  • Hill Climbing
    02:12

  • Algoritmo Kruskal (Kruskal's Algorithm)
    03:20
  • Algoritmo Djikstra (Djikstra's Algorithm)
    05:15
  • Algoritmo Prim (Prim's Algorithm)
    03:27

  • Características dos Sistemas Multiagentes (Main Characteristics)
    04:26

  • Mundo de Wumpus (Wumpus's World)
    05:48

  • MINIMAX com 2 jogadores (MINIMAX with 2 Players)
    03:07
  • MINIMAX com mais de 2 jogadores (MINIMAX with More than 2 Players)
    03:41
  • MINIMAX com Poda Alfa-Beta (MINIMAX Alpha-Beta Pruning)
    04:37

  • Conceitos Básicos (Basic Concepts)
    01:38
  • Sintaxe e Argumentos (Sintax & Arguments)
    03:45
  • Tabela Verdade (Truth-Table)
    03:04
  • Inferência (Applying Inference)
    03:07

  • Introdução à Lógica Fuzzy (Introduction)
    01:45
  • Fuzzificação (Fuzzification)
    03:21
  • Modificadores Linguísticos e Fórmulas (Linguistic Modifiers & Formulas)
    04:23
  • Defuzzificação (Defuzzification)
    03:13

  • Pathfinding sem o Uso de Diagonais (Pathfinding without Diagonals)
    05:36
  • Pathfinding Utilizando Diagonais (Pathfinding with Diagonals)
    04:00

Requirements

  • Conhecimentos Básicos de Matemática e Lógica (Basic Knowledge of Math and Logic)

Description

Curso de Fundamentos de Inteligência Artificial! Aprenda sobre esse assunto tão requerido em TI sem muita complicação seguindo vídeo aulas breves e explicativas!

Nesse curso online serão abordados diversos temas dentro desse fascinante assunto, passando por uma breve história sobre sua concepção e características, apresentação de diferentes algoritmos de resolução de problemas, lógicas para transformar valores e conceitos do mundo real para que uma máquina consiga entender, e uma breve pincelada no campo de redes neurais artificiais onde é possível ensinar uma máquina a aprender padrões (tudo com exemplos resolvidos durante as aulas e exercícios para reforçar todo o aprendizado).

As aulas são divididas em tópicos que abrangem cada etapa do aprendizado, seguidas por exercícios dependendo do assunto (a resolução dos exercícios também é fornecida, sempre na aula seguinte).

Ao final do curso, você conseguirá resolver diversos problemas que utilizem algum dos algoritmos ou técnicas explicadas durante os vídeos, podendo aplicar esse conhecimento tanto para a área de Jogos Digitais quanto em qualquer outra dentro do ramo de Tecnologia da Informação.

Desejo muito sucesso para todos que adquiriram o curso, e que todos aproveitem e aprendam bastante no decorrer das aulas!


(Basic Course of Artificial Intelligence! Learn about this much-needed subject in IT without much complication following brief and explanatory video lessons! With videos subtitled in English!

In this online course will be discussed various topics within this fascinating subject, going through a brief history about its creation and characteristics, presentation of different problem solving algorithms, logic to transform real world values ​​and concepts so that a machine can understand, and a brief lessons in the field of artificial neural networks where it's possible to teach a machine how to learn patterns (all with examples solved during classes and exercises to reinforce all learning).

Classes are divided into topics that cover each stage of learning, followed by exercises depending on the subject (exercise resolution is also provided, always in the next class).

At the end of the course, you'll be able to solve several problems that use some of the algorithms or techniques explained during the videos, being able to apply this knowledge both for the Digital Games area and any other within the branch of Information Technology.

I wish much success for all who have acquired the course, and that everyone enjoys and learn a lot with the classes!)

Who this course is for:

  • Pessoas que desejam conhecer o básico sobre algoritmos utilizados em Inteligência Artificial ou que tenham muita vontade de aprender sobre como funcionam os diferentes métodos aplicados nesse ramo de Tecnologia da Informação.
  • People who want to know the basics about algorithms used in Artificial Intelligence or who are very keen to learn about how the different methods applied in this branch of Information Technology work.

Instructor

Christian Moura dos Santos
Desenvolvedor de Jogos
Christian Moura dos Santos
  • 4.0 Instructor Rating
  • 16 Reviews
  • 986 Students
  • 4 Courses

Christian Moura dos Santos é formado em Desenvolvimento de Jogos Digitais. Durante o tempo da faculdade ajudou diversas pessoas, compartilhando conhecimentos e apoio para que alcançassem seus objetivos.

Após a faculdade, ingressou no aprendizado mais profundo sobre criação de jogos digitais, arte e inteligência artificial, buscando sempre excelência em cada etapa, além de auxiliar todos que precisassem de algum tipo de ajuda (coisa que carrega dentro de si desde muito antes de concluir a formação acadêmica).

Viu na Udemy uma oportunidade de passar seus diversos conhecimentos para os alunos, além de aprimorar suas capacidades como professor, profissão que acha realizadora e gratificante.

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