Introduction to Artificial Intelligence ( AI ) for Managers (Udemy.com)

Data Science, Machine Learning, Deep Learning & Neural Networks for Beginners with Scikit-Learn & Python

( 50 Reviews )

Created by: Kumaresan Ramanathan

Produced in 2021

What you will 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

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 90 / 100

Course 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

Time: 2h

Instructor Details

Kumaresan Ramanathan

4.5 Rating
50 Reviews

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