INTRODUCTION TO AI
Required background: basic programming skills and interest in AI
Number of training days: 3 days
Training objective:
Participants will get an overview of the basics of AI, so they will be able to understand the basic concepts of AI and its applications.
Description of the training:
We will learn in detail about the basics of AI, including basic concepts and practical applications. We will also review the different types of machine learning and how they work. We will then move on to the basics of AI development using the Python language through some practical examples.
Detailed topics:
Day 1: Basic concepts of artificial intelligence
- Introduction to the concept and history of artificial intelligence
- Overview of basic AI algorithms and techniques
- Practical examples of AI applications in different domains
Day 2: Machine learning and its applications
- Principles and types of machine learning (supervised, unsupervised, reinforcement learning)
- Application areas of machine learning (e.g. image recognition, natural language processing, prediction)
- Practical examples and case studies of the effectiveness of machine learning
Day 3: Basics of AI development in Python
- Introduction to the Python language and its importance for AI development
- Python basics and data structures
- Practical examples and project work using AI principles and methods
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