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DevelopmentData ScienceArtificial Intelligence

Introduction to Artificial Intelligence ( AI ) for Managers

Data Science, Machine Learning, Deep Learning & Neural Networks for Beginners with Scikit-Learn & Python
Rating: 3.9 out of 53.9 (586 ratings)
1,871 students
Created by Kumaresan Ramanathan
Last updated 4/2019
English
English

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

Requirements

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

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.

Who this course is for:

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

Featured review

Sumit Dhamija
Sumit D.
17 courses
17 reviews
Rating: 5.0 out of 52 years ago
This is exactly the kind of course I was looking for, neither too technical nor superficial. The examples given by the trainer within each topic make grasping the technical concept a lot easier. A must course for all managers aspiring to learn AI and/or lead AI projects within their organization.

Instructor

Kumaresan Ramanathan
Principal Architect at Coroman Systems
Kumaresan Ramanathan
  • 4.4 Instructor Rating
  • 3,241 Reviews
  • 11,144 Students
  • 5 Courses

I am passionate about making technology easy to understand. I have taught students at the University of Massachusetts and guided software professionals at Cadence Design Systems, iCOMS, Empirix, Relona, and Johnson & Johnson. 

My goal is to help you earn more than $200,000 annually as a software professional. I focus on teaching AI and Quantum Computing because these are the highest paid skills in the industry. 

My courses help beginners who have a basic understanding of high school Math and coding. In about 6 months you can complete several courses and become an expert earning $200+ per hour.

In addition to teaching technical skills, I also help you build leadership ability. My courses discuss trade-offs between various technical choices and help you take wise decisions. As an expert software professional, you will be able to recommend solutions, suggest implementation choices, and guide software design.

My courses have a 30 day money back guarantee. Check out the free video previews and enroll today.

I have an electrical engineering degree from IIT and a masters degree in computer science from the University of Massachusetts. I have managed software teams and helped startups launch products in international markets. 

I have lived most of my professional life in the Boston area. I enjoy reading science fiction and economic theory. I am a gourmet who loves to try out interesting recipes and new restaurants with friends and family. 

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