AI 101: How to build an AI from scratch

AI 101: How to build an AI from scratch, available at $54.99, has an average rating of 2.8, with 21 lectures, 2 quizzes, based on 11 reviews, and has 77 subscribers.

You will learn about How to build an AI Understand the basics of Artificial Intelligence How to train AI systems How to Collect and Clean data Develop high-quality algorithms This course is ideal for individuals who are Anyone interested in Artificial Intelligence, Machine Learning or Deep Learning or Beginner Python Developers Curious about Data Science It is particularly useful for Anyone interested in Artificial Intelligence, Machine Learning or Deep Learning or Beginner Python Developers Curious about Data Science.

Enroll now: AI 101: How to build an AI from scratch

Summary

Title: AI 101: How to build an AI from scratch

Price: $54.99

Average Rating: 2.8

Number of Lectures: 21

Number of Quizzes: 2

Number of Published Lectures: 21

Number of Published Quizzes: 2

Number of Curriculum Items: 28

Number of Published Curriculum Objects: 28

Number of Practice Tests: 1

Number of Published Practice Tests: 1

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

How to build an AI
Understand the basics of Artificial Intelligence
How to train AI systems
How to Collect and Clean data
Develop high-quality algorithms

Who Should Attend

Anyone interested in Artificial Intelligence, Machine Learning or Deep Learning
Beginner Python Developers Curious about Data Science

Target Audiences

Anyone interested in Artificial Intelligence, Machine Learning or Deep Learning
Beginner Python Developers Curious about Data Science

Welcome to AI 101: How to build an AI from scratch!

In this course, you will learn the key concepts and techniques needed to build your own artificial intelligence systems. Whether you’re a business professional, a data scientist, or a tech enthusiast, this course will provide you with the knowledge and hands-on experience you need to start creating intelligent systems from scratch.

You will start by learning the basics of artificial intelligence, including what AI is, how it works, and the different types of AI. Then, you will dive deep into the process of building an AI, from defining the problem to collecting and cleaning data, choosing an algorithm, training the AI, testing and refining, and deploying the AI.

Throughout the course, you will have the opportunity to apply the concepts and techniques you learn. You will also receive access to a wide range of resources, including code snippets, and tutorials, to help you build your own AI systems.

By the end of this course, you will be able to:

Understand the key concepts of artificial intelligence
Define a problem and identify the inputs and outputs for an AI system
Collect, clean, and preprocess data for training an AI
Choose the appropriate algorithm for the problem
Train and evaluate AI models
Deploy AI systems

This course is designed for anyone who is interested in learning how to build an AI, regardless of your technical background. Whether you’re a business professional, a data scientist, or a tech enthusiast, this course will provide you with the knowledge and hands-on experience you need to start creating intelligent systems from scratch.

Don’t wait any longer, join us today and start your journey to mastering AI!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Setting up the environment

Chapter 2: Define the Problem

Lecture 1: Making Sense of the basics

Chapter 3: Collect and Clean the data

Lecture 1: Collect and Clean

Lecture 2: Data, Data, Data

Chapter 4: Choose an algorithm

Lecture 1: Algo-Rithm

Lecture 2: Neural Networks

Lecture 3: Decision Trees

Lecture 4: Random forests

Lecture 5: Support vector machines

Lecture 6: Tutorial: Training and Testing an AI using scikit-learn and caret

Chapter 5: Train the AI

Lecture 1: Readying up

Lecture 2: Supervised and Unsupervised learning

Lecture 3: Reinforcement Learning

Lecture 4: The Bellman Equation

Lecture 5: Markov Decision Process

Lecture 6: Q-Learning Intuition

Lecture 7: Temporal Difference

Chapter 6: Test and refine

Lecture 1: Test and refine

Lecture 2: Training Sets

Chapter 7: Deployment

Lecture 1: The main attraction

Instructors

Mad Useful
Mad Useful education to level up your life

Rating Distribution

1 stars: 2 votes
2 stars: 3 votes
3 stars: 3 votes
4 stars: 2 votes
5 stars: 1 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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