Courses

Programs for engineering, robotics and AI learning.

Choose a course track based on age, experience and technical goals. Click a course to see the full description, program structure, hours and price.

Free Intro

Engineering Discovery Class

A free orientation lesson where students try DigiCore’s practical engineering format and choose the right course level.

1.5–2 hours Free
View course
Ages 9–13

Engineering Jr

A beginner course that connects engineering thinking, simple electronics, logic, microcontrollers, Python basics, and a final prototype.

Approximately 96 hours total / 6 months 45,000 AMD / month
View course
Ages 14–18

Engineering

A core engineering track with electronics, Arduino/C++, Python, sensors, measurement, software, and prototype building.

Approximately 96 hours total / 6 months 45,000 AMD / month
View course
Ages 15+

AI in Embedded Systems

AI, Python, data, ML, computer vision, LLM/RAG basics, and deployment ideas connected to real embedded hardware.

Approximately 96 hours total / 6 months 45,000 AMD / month
View course
Advanced

Advanced Engineering

An advanced track covering embedded architecture, communication, IoT, robotics control, PCB thinking, and product-style integration.

Approximately 96 hours total / 6 months 45,000 AMD / month
View course
Summer

Summer School

A practical summer program where students explore physics, engineering, robotics, space, manufacturing and technology through experiments, visits, movie discussions and team challenges.

Option 1: 6 hours / week · Option 2: 12 hours / week Option 1: 75,000 AMD / month · Option 2: 150,000 AMD / month
View course
Learning Model

Industry-based learning with strong fundamentals.

DigiCore courses are not only about using tools. Students first understand the scientific and engineering principles, then apply them through circuits, code, sensors, experiments, prototypes, testing and final demonstrations.

Theory with purpose

Physics, electronics, programming and AI concepts are explained through real engineering examples, not isolated memorization.

Practical labs

Every important topic is connected to hardware, software, measurements, experiments or a working mini-project.

Systematic path

Students move step by step from fundamentals to embedded systems, robotics, automation, AI and product-style projects.

Engineering outcome

The result is a tested prototype, documentation, presentation experience and a stronger understanding of how real systems are built.