WELCOME TO INAI4SME MODULE COURSES - Module 1
This module number 1 is an introduction to Artificial Intelligence (AI) technology and the aim is to provide an overview about the use and the differences between the AI systems.
AI Training Modules INAI4SME
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Welcome to AI Training Modules INAI4SMEThe course provides VET teachers and educators and SME workers and learners with the opportunity to improve their skills and competencies in the field of AI. Our aim is ro contribute to the digital transformation of VET and SMEs to encourage innovation and the development of transformative contents that help learners become an active part of the labor market.
Our theoretical materials for training on AI technologies include 7 modules with in-depth explanations and lessons and 12 modules with exercises and activities to facilitate knowledge acquisition.
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Available courses
The module 2 introduces machine learning, a branch of artificial intelligence that enables computers to learn from data without being explicitly programmed. In this course, you'll learn the fundamental concepts, techniques, and applications of machine learning.
The module on neural network concepts covers the fundamental principles and theories of neural networks, including their architecture, learning algorithms, and applications. Students will learn how to design, train, and evaluate neural networks to solve complex problems in various fields.
Module 4 is an overview of dataset, covering the fundamental concepts and techniques for working with datasets, including data preparation, data quality, data visualization, and data analysis.
Module 5 on libraries for Python covers the most popular and widely used libraries in Python, including their features, applications, and best practices for using them. Students will learn how to use these libraries to perform various tasks, such as data analysis, data visualization, web development, and machine learning.
The module on AI algorithms covers the fundamental concepts and techniques used in artificial intelligence, including machine learning, deep learning, and optimization.
Module 7 on AI analysis covers the process of analyzing and interpreting AI models, including machine learning, deep learning, and natural language processing.
Our hands-on materials for training on AI technologies include 12 modules with exercises and activities to facilitate knowledge acquisition:
Module 1 - Artificial Neural Networks (ANN)
Module 2 - Convolutional Neural Network (CNN)
Module 3 - K-nearest Neighbors Algorithm (KNN)
Module 4 - Recurrent Neural Networks (RNN)
Module 5 - Support Vector Machine (SVM)
Module 6 - AI into Accounting
Module 7 - AI into Insurance
Module 8 - AI into Internet of Things (IoT)
Module 9 - AI into Robotics
Module 10 - AI into Carbon Footprint
Module 11 - AI into Carbon Footprint
Module 12 - AI into Green EU