AI PROGRAMMING BASICS
Prerequisites: basic maths and IT skills
Number of training days: 4 days
Training objective:
Participants will learn the basics of AI and machine learning, as well as the application areas of AI.
Description of the training:
The training will introduce the concepts of AI and then review the most important algorithms and the process of machine learning. Participants will learn how to use AI through practical examples and will be introduced to the most important development tools and frameworks to create their own AI applications. By the end of the course, participants will be confident in the use and application of AI and machine learning in practice.
Detailed topics:
Day 1: Introduction to AI and machine learning
- Principles and applications of AI and machine learning
- Algorithms and data sets overview
- Machine learning processes and types
Day 2: AI algorithms and implementation
- Supervised, Unsupervised and Reinforcement Learning algorithms
- Implementation of AI algorithms through practical examples
- Overview of development tools and frameworks (e.g. TensorFlow, scikit-learn)
Day 3: Data processing and model training
- Preparing and processing data for AI models
- Preparing and preparing data for AI models
- Hyperparameter tuning and model fine-tuning
Day 4: Project work and practical exercises
- Practical project work: development of an AI-based application
- Coding in practice, problem solving
- Project presentation and feedback
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