Technologies / Artificial Intelligence

Fundamentals of artificial intelligence (AI) and machine learning

The training introduces participants to the foundations of artificial intelligence and machine learning, using the Python language as an implementation tool. The program leads from basic theoretical concepts to practical application of AI algorithms in real projects. The class combines theoretical lectures with intensive programming workshops, where participants independently implement and train machine learning models under the guidance of an experienced trainer.

Issues

Theoretical foundations of artificial intelligence
Types of machine learning
Classification and regression algorithms
Data preparation and preprocessing
Neural networks and deep learning
Quality assessment of models
Natural language processing
Computer Vision
Recommendation systems
Time-based forecasting
Optimization of hyperparameters
Best practices in AI projects

This training is part of the path:

Data Analyst DevOps Engineer Programmer Software Tester / QA Engineer

Benefits

The participant will gain a solid theoretical foundation in artificial intelligence and machine learning, which will allow him/her to understand the principles of AI systems
He will develop practical skills to implement machine learning algorithms in Python, using popular libraries and tools
To independently prepare data, train models and evaluate their effectiveness
Will gain the knowledge to make informed decisions about the use of AI in projects

Who is this training for?

Programmers looking to get started in the AI field

Data analysts interested in machine learning

Software engineers expanding competencies

Scientists planning to use AI in research

Industry professionals looking to understand the capabilities of AI

AI and ML project managers

Technical and science students

Prerequisites

Basic knowledge of Python programming
Knowledge of linear algebra at the elementary level
Fundamentals of statistics and probability calculus
Ability to think analytically

Training program

Types of machine learning
Preparation of the development environment
Python libraries for AI and ML
Basic machine learning algorithms

Decision trees and random forests
Support vector machines (SVMs)
Validation and evaluation of models
Introduction to neural networks

Learning and optimization process
Activation functions and back propagation
Implementation of simple neural networks

Natural language processing
Image analysis
Recommendation systems
Time series forecasting

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Frequently asked questions

Who is the Fundamentals of artificial intelligence (AI) and machine learning training for?

This training is designed for professionals looking to develop skills in fundamentals of artificial intelligence (ai) and machine learning. Required level: beginner.

How long is the Fundamentals of artificial intelligence (AI) and machine learning training?

The training lasts 4. Available in online or on-site format.

Will I receive a certificate?

Yes — every participant receives a completion certificate confirming acquired competencies. EITT holds ISO 9001 accreditation.

Can this training be conducted for a closed group?

Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.