Practical AI training to help you drive AI use in manufacturing
in the manufacturing industry.

We offer practical AI training specifically for our manufacturing customers.
We are able to provide this service because of our extensive experience in AI development for manufacturing companies.

AI HUMAN RESOURCES DEVELOPMENT SERVICE FOR THE MANUFACTURING INDUSTRY, PRACTICAL FORMAT, CAN BE USED IMMEDIATELY FOR ON-SITE IMPLEMENTATION

PRACTICAL AI WORKFORCE DEVELOPMENT SERVICE FEATURES

Practical" training, including case studies

THIS TRAINING WILL PROVIDE YOU WITH A SIMULATED EXPERIENCE OF AN AI DEVELOPMENT PROJECT AND, AS A RESULT, YOU WILL HAVE THE SKILLS TO DRIVE AN AI PROJECT FORWARD.
...Fictitious projectsYOU WILL EXPERIENCE EVERYTHING FROM REQUIREMENTS DEFINITION, DATA ACQUISITION, AI DEVELOPMENT, IMPLEMENTATION AND OPERATION.
　(AN EXAMPLE OF A PROJECT: USING AI TO REPLACE VISUAL INSPECTION OF BOLTS, SCREWS, WASHERS, LEDS, TRANSISTORS, ETC.)
WHEN YOU OUTSOURCE YOUR AI DEVELOPMENTHow to write a requirements document and read a reportYou can learn how to
ManyAI USE CASESYou can learn about
WE WILL ALSO WORK WITH YOU TO DEFINE ISSUES AND REQUIREMENTS WITH A VIEW TO USING AI IN YOUR COMPANY.You can immediately put it into practice in your company...

Specialising in manufacturing

The contentAlmost all use cases in the manufacturing industryIt is built on the
This makes it easy to visualise how it could be used in a manufacturing company.

OVERVIEW OF AI WORKFORCE DEVELOPMENT SERVICES

WE TRAIN PLANNERS AND PROMOTERS OF AI PROJECTS.

Target group

This programme is aimed at the following groups of people in the manufacturing industry. The curriculum is customised to meet the needs of each individual.

Skills you will gain

By attending this programme, you will gain the following skills

Curriculum overview

The curriculum can be customised to suit your needs and the level of your students.
The curriculum will be customised to suit your needs and the level of your participants. The schedule is for one day (6 hours) but can be customised to suit your needs. The following is an example of the curriculum

1. THE BIG PICTURE OF AI You will learn what a model is, the difference between supervised and unsupervised learning, classification/regression, partitioning of training data and other basic elements in a minimal structure.
2. THE AI DEVELOPMENT PROCESS BY SIMULATING AN AI DEVELOPMENT PROJECT, PARTICIPANTS WILL BE ABLE TO EXPERIENCE THE PROCESS OF AI DEVELOPMENT. THROUGH CASE STUDIES, YOU WILL ALSO LEARN ABOUT THE PITFALLS OF AI DEVELOPMENT AND WHAT TO LOOK OUT FOR.
3. examples of use YOU WILL LEARN ABOUT AI USE CASES, WITH A FOCUS ON THE MANUFACTURING INDUSTRY.
4. identifying the challenges PARTICIPANTS WILL BE ASKED TO IDENTIFY ISSUES WITHIN THEIR OWN BUSINESS AND WORK WITH THE TUTOR TO EXPLORE THE POTENTIAL FOR APPLYING AI.

Teaching materials

All materials are original. We use case studies of the manufacturing industry.

Sample lectures

PART OF THE CONTENT OF CHAPTER 3, "THE AI DEVELOPMENT PROCESS", IS NOW AVAILABLE.

Testimonials

Some of the comments from participants of the programme are as follows
I was very happy to hear that the training had paid off when I was able to understand the content of the report after listening to a case study on the introduction of AI in another department.
Through the practical training, we were able to examine detection methods and experience actual programming, which gave us an idea of what to expect when introducing AI.
I felt that the latest trends and explanations were very detailed and helped me to understand. There were links throughout the course, which was very useful for self-learning and reviewing.
It was very good that there was a lot of hands-on work and not just lectures like in universities. I think I would have lost my mind if the course had only explained mathematical equations.

Optional curriculum

We also offer an optional curriculum that includes detailed technical explanations and coding exercises for clients who are looking to not only drive and manage their AI development projects, but also to produce them in-house.
Depending on the level of the participants, we may ask for some pre-assignments (mainly on computer science and programming).
Due to time constraints, we will mainly focus on image recognition, which is often used in the manufacturing industry. Due to time constraints, we will mainly focus on image recognition, which has many applications in the manufacturing industry, and will not cover topics such as anomaly detection from sensor data, demand forecasting or natural language processing.

0. pre-assignment You will be required to complete a book-based course on the basics of computers and programming.
1. image recognition tasks You will learn about common tasks in the field of image recognition (object detection, segmentation, anomaly detection, etc.).
2. building a segmentation model THIS COURSE INTRODUCES AI MODELS FOR SOLVING SEGMENTATION TASKS AND TEACHES THE SEQUENCE OF CONSTRUCTION. (PRACTICE BASED)
3. construction of an object detection model THIS COURSE INTRODUCES AI MODELS FOR SOLVING OBJECT DETECTION TASKS AND TEACHES THE SEQUENCE OF BUILDING THEM. (PRACTICE BASED)
4. VARIATIONAL SELF-ENCODER (VAE) CONSTRUCTION AND ANOMALY DETECTION THIS COURSE INTRODUCES AI MODELS FOR SOLVING ANOMALY DETECTION TASKS AND TEACHES THE SEQUENCE OF BUILDING THEM. (PRACTICE BASED)