
This course will provide an overview of the course, its targets and goals
What you will learn in this course, what you won't find in this course, and why we created this course.
Explains what you will learn in each section of this course
Definition and concept of AI will be explained.
The history of AI and the three AI booms there have been will be explained.
This section describes the first AI boom and its limitations.
This section explains the content and limitations of the second AI boom.
The third AI boom and the machine learning behind the boom will be explained.
Explains the purpose of this section "How does AI work?"
Explains how neural networks work
Explains how neural networks are used for image classification
Explains what problems are associated with machine learning
This is the reason why we have explained about neural networks this time
Explains how deep learning works and the background behind its widespread use
Explains what AI cannot do
Explains what AI can do
Explains the decisions, classification, regression, and clustering that AI can make
The conditions for creating an AI, and the decisions that an AI is good at, will be explained.
Explains the purpose of this section, "Explaining" the services in which AI is used
We explain how to create an "AI interviewer."
Explains how to create a "Bulky Waste Identification AI."
How to create "Failure Prediction AI" will be explained.
Explanation of the purpose of this section, "How to Think About Making the Most of AI in Your Business".
What to avoid in your AI-based business and why
What you should be doing in your business with AI and why
Explains how the project team will be structured for AI implementation
The process of AI implementation: listing decisions in your area of expertise, verifying the feasibility and effectiveness of AI implementation, and proof of concept (PoC) will be explained.
AI implementation process: Development and implementation of systems with AI, consideration of internal systems after AI implementation, and periodic data collection and re-training will be explained.
This course is the English version of our popular AI course, which has been taken by more than 20,000 students in its Japanese version.
Course Overview
This course is designed to provide business-level AI knowledge, even for those not well-versed in IT.
Each lecture avoids difficult terminology and technical jargon, making it accessible for complete beginners. You will gain an understanding of how AI works and how it can be applied in business.
Course Goals
The goal of this course is to make you a valuable asset in AI-related projects.
Even if there is an AI expert on your project team, you will be able to understand what they are saying and share your own thoughts and ideas with the team.
Target Audience
Those who want to gain business-level knowledge of AI.
Those who want to understand how AI works.
Those who want to incorporate AI technology into their work.
Those who need to participate in a business using AI technology.
No prior experience or specialized knowledge is required to take this course. It is designed to condense only the necessary knowledge for utilizing AI in business, making it understandable for non-engineer executives, managers, and people outside the IT industry. This course is ideal for those who want to efficiently learn practical ways to use AI.
What You Will Learn in This Course
Gain business-level knowledge of AI.
Understand how AI works.
Learn what AI can and cannot do.
Discover how AI is practically applied.
Understand the specific steps to integrate AI technology into your work.
Why This Course Was Created
With the recent AI boom, there are numerous technical AI courses for engineers, particularly those focusing on the basics of AI creation. However, many people who have learned the basics of AI structure find that their knowledge does not translate into practical business applications, resulting in merely theoretical understanding.
Among the AI technologies that have become popular in recent years, some are being gradually integrated into society, some are highly revolutionary but not yet practical, and some are purely visionary. These are all discussed under the same term "AI" in the media, making it difficult to grasp what AI is truly useful for business and what should be learned.
In this flood of information, we wanted to organize and convey AI technologies that are beneficial for business. That is why this course was created.
Course Sections
What is AI? The term "AI" is used broadly and is perceived differently by different people. Learn about the specific technologies that have gained attention in recent years, why they are noteworthy, and gain a correct understanding of AI.
How Does AI Work? A detailed explanation of the inner workings of AI. Understand the mechanisms behind AI and how it draws conclusions and makes judgments.
What Can AI Do? AI is not omnipotent. There are clear boundaries between what AI can and cannot do. Understanding these will help you know which business challenges AI can address.
Explaining AI-Powered Services While you often hear news about AI being used in various places, detailed explanations of how they work are rare. This section provides explanations of how AI-powered services operate without using technical jargon.
Thoughts on Leveraging AI in Business Learn when to use AI and when not to. From identifying problems that AI can solve to the specific processes for utilizing AI in business, this section covers it all.
We hope that the knowledge gained from this course will enable you to leverage AI in your business and ensure the success of your upcoming projects.