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 2Month/20 Hours                                                  Price:45,000

                                                                                      40,000

Introduction to Artificial Intelligence ( AI ) for Managers


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.


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.


What you’ll learn

Understand how AI works at a technical level. Manage machine learning and deep learning projects.
Use AI libraries like Scikit-Learn
Understand how Multi-layer Neural Networks learn features automatically
Learn about deep learning algorithms like convolutional neural networks

Course content

Rating Your Experience
Speed Up the Learning Process
Preventing Underfit & Overfit
Classification
Sigmoid Models for Classification
Regularization
Regularization
Underfit & Overfit Quiz
Machine Learning Libraries
Coding with Python & Scikit Learn
Scikit-Learn & Python Libraries Quiz
Multi-Layer Neural Networks & Deep Learning
Multi-Layer Neural Networks & Deep Learning
Multi-Layer Learning Quiz
Convolutional Neural Network
Convolutional Neural Network
Convolutional Neural Network
Recurrent Neural Networks

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.

Requirements

Basic School Math at 10th grade level
Basic knowledge of Algorithms.
Be able to understand a technical description of an algorithm

Who this course is for:

AI Managers, Project Leaders, Directors, Vice-Presidents who have worked in technology, and need to learn AI quickly

International student Fee : 300 $ | 1,125 SAR | 1,125 AED

Data Scientist Career  

Data Scientist job in Dubai
Data Scientist job in U.S
Data Scientist job in Pakistan

Job Interview Questions 

R Job Interview Questions and Answers 
Python Job Interview Questions and Answers
Data Sciences Job Interview Questions and Answers
Machine Learning Job Interview Questions

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Internships, Freelance and Full-Time Work opportunities

 Join Internships and Referral Program (click for details)

Work as Freelancer or Full-Time Employee (click for details)

Hire an Intern


Flexible Clas

Week End Classes For Professionals  SAT | SUN

Corporate Group Training Availables Options

Online Classes – Live Virtual Class (L.V.C), Online Training


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