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Courses>Data Science>Introduction to Artificial Intelligence ( AI ) for Managers
DevelopmentIntroduction to Artificial Intelligence ( AI ) for Managers
Price:Paid
Length:2 hours
Content type:video
level:beginner
Updated:19 February 2024
Published:21 August 2022
Similar courses
Opportunities
Courses>Data Science>Introduction to Artificial Intelligence ( AI ) for Managers
Introduction to Artificial Intelligence ( AI ) for Managers
3.9 (1.9k)
2 hours
1872 students
What you will learn
1Understand how AI works at a technical level. Manage machine learning and deep learning projects.
2Use AI libraries like Scikit-Learn
3Understand how Multi-layer Neural Networks learn features automatically
4Learn about deep learning algorithms like convolutional neural networks
Target audiences
1AI Managers, Project Leaders, Directors, Vice-Presidents who have worked in technology, and need to learn AI quickly
Requirements
1Basic School Math at 10th grade level
2Basic knowledge of Algorithms.
3Be able to understand a technical description of an algorithm.
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
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!
Description

Do you want to learn Artificial Intelligence technology quickly?

Are you a manager, director, or VP who needs to understand how AI works at a technical level?

This fast-paced course explains the core concepts of Artificial Intelligence through engaging animations. In less than 2 hours you will be able to:

- Identify opportunities for using AI in your business

- Evaluate technical solutions

- Manage AI development projects

- Estimate resource requirements for your AI project

- Reuse pre-trained libraries to save cost

... and lead your AI project to success.


Prerequisites

You must be adept with 10th grade level high-school Math. 

This course describes AI algorithms at a technical level. You need to be able to understand step-by-step descriptions of algorithms.

Though this is a non-coding introduction, some knowledge of programming will make it easier to understand the algorithms presented.


Technology Explained in Simple Terms

You will be able to apply these algorithms in your own projects: kNN, Stochastic Gradient Descent, Regularization, Support Vector Machines, Random Forests, Classification with Sigmoids, Multi-Layer Neural Nets, Deep Learning with Convolutional Neural Networks and Recurrent Nets, and Natural Language Processing with Word-Embeddings. 


Real-world project:

You will build an AI system that detects cancer. The code is explained clearly line-by-line. No prior programming knowledge is required. This project is developed on Python with the Scikit-Learn library.


Experience:

The material in this course is built upon 15 years of my experience developing machine learning systems for industry projects.

Enroll today & accelerate your career with AI.

Similar courses
Opportunities
Make the most out of your online education
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All rights reserved
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Careertail
Courses>Data Science>Introduction to Artificial Intelligence ( AI ) for Managers
DevelopmentIntroduction to Artificial Intelligence ( AI ) for Managers
Price:Paid
Length:2 hours
Content type:video
level:beginner
Updated:19 February 2024
Published:21 August 2022
Similar courses
Opportunities
Courses>Data Science>Introduction to Artificial Intelligence ( AI ) for Managers
Introduction to Artificial Intelligence ( AI ) for Managers
3.9 (1.9k)
2 hours
1872 students
What you will learn
1Understand how AI works at a technical level. Manage machine learning and deep learning projects.
2Use AI libraries like Scikit-Learn
3Understand how Multi-layer Neural Networks learn features automatically
4Learn about deep learning algorithms like convolutional neural networks
Target audiences
1AI Managers, Project Leaders, Directors, Vice-Presidents who have worked in technology, and need to learn AI quickly
Requirements
1Basic School Math at 10th grade level
2Basic knowledge of Algorithms.
3Be able to understand a technical description of an algorithm.
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
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!
Description

Do you want to learn Artificial Intelligence technology quickly?

Are you a manager, director, or VP who needs to understand how AI works at a technical level?

This fast-paced course explains the core concepts of Artificial Intelligence through engaging animations. In less than 2 hours you will be able to:

- Identify opportunities for using AI in your business

- Evaluate technical solutions

- Manage AI development projects

- Estimate resource requirements for your AI project

- Reuse pre-trained libraries to save cost

... and lead your AI project to success.


Prerequisites

You must be adept with 10th grade level high-school Math. 

This course describes AI algorithms at a technical level. You need to be able to understand step-by-step descriptions of algorithms.

Though this is a non-coding introduction, some knowledge of programming will make it easier to understand the algorithms presented.


Technology Explained in Simple Terms

You will be able to apply these algorithms in your own projects: kNN, Stochastic Gradient Descent, Regularization, Support Vector Machines, Random Forests, Classification with Sigmoids, Multi-Layer Neural Nets, Deep Learning with Convolutional Neural Networks and Recurrent Nets, and Natural Language Processing with Word-Embeddings. 


Real-world project:

You will build an AI system that detects cancer. The code is explained clearly line-by-line. No prior programming knowledge is required. This project is developed on Python with the Scikit-Learn library.


Experience:

The material in this course is built upon 15 years of my experience developing machine learning systems for industry projects.

Enroll today & accelerate your career with AI.

Similar courses
Opportunities
Make the most out of your online education
Careertail
Copyright © 2021 Careertail.
All rights reserved
Quick Links
Get StartedLog InAbout UsCourses
Company
BlogContactsPrivacy PolicyCookie PolicyTerms and Conditions
Stay up to date
Trustpilot