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Linux Basic

Linux Basic

Course Details:

Level: Basic
Format: Online learning with mentor support
Duration: 24 sessions
Start date: New groups start monthly

Curriculum:
Topics covered: Command line, working with files and directories, process management, package managers, Bash scripting basics, and basic system security.
Tools: Linux (Ubuntu/other distributions), Terminal, SSH, basic system utilities.

Approach:
Learning through practice and hands-on work in the console. You learn not just to enter commands, but to understand how the system works.

Outcome:
Upon completion, you will be able to work confidently in Linux and configure the system. You will be ready for DevOps, backend development, or system administration.

Next Steps:
DevOps Basic / Pro, Backend Development, System Administration.
Enrollment is open. New groups start every month. Sign up for the course or book a consultation.
ITtools Basic
0 steps
Cybersecurity Basic

Cybersecurity Basic

Course Details:

Level: Basic
Format: Online training with mentor support
Duration: 16 sessions
Start date: New groups start monthly

Curriculum:
What’s inside: Vulnerability types, attack fundamentals and logic, basic information protection, system security, network security basics, and the security specialist mindset.
Tools: Kali Linux (basics), Wireshark (basics), and standard security tools.

Approach:
Learning through practice and real-world scenario analysis. You learn to think like an attacker in order to build effective defenses.

Outcome:
Upon completion, you will understand cybersecurity fundamentals and be able to identify basic vulnerabilities. You will be ready to pursue paths in Ethical Hacking or system defense.

Next Steps:
Cybersecurity Pro, Ethical Hacking, Cybersecurity Complex.
Enrollment is open. New groups start every month. Sign up for the course or book a consultation.
Data&AI Basic
0 steps
Cybersecurity Pro

Cybersecurity Pro

Course Details:

Level: Intermediate
Format: Online training with mentor support
Duration: 32 sessions
Start date: New groups start monthly

Curriculum:
What’s included: Penetration testing and attack scenarios, network defense, encryption and data security, firewalls and access control, log and incident analysis, threat response.
Tools: Kali Linux, Wireshark, Metasploit, and other security tools.

Approach:
Learning through real-world case studies and attack simulations. You learn not just how to defend, but how to understand threat behavior.

Outcome:
Upon completion, you will be able to identify and remediate vulnerabilities and respond to incidents. You will be ready to work in a security team.

Next Steps:
Roles such as Junior Security Engineer, advanced Ethical Hacking, or SOC Analyst.
Enrollment is open. New groups start every month. Sign up for the course or book a consultation.
Pro Data&AI
0 steps
Data Science Basic

Data Science Basic

Course Details:

Level: Basic
Format: Online learning with mentor support
Duration: 18 sessions
Start date: New cohorts begin monthly

Curriculum:
What’s included: Data collection and cleaning, analysis fundamentals, data visualization, metrics
and analytics, working with tables and data structures, introduction to machine learning.
Tools: Python (basics), Jupyter Notebook, Google Colab, data analysis libraries.

Approach:
Learning through practice and real-world data. You learn not just to look at numbers,
but to derive meaning from them.

Outcome:
Upon completion, you understand Data Science fundamentals and know how to process
data. You are ready to advance into analytics or ML.

Next Steps:
Data Science Pro, Machine Learning Complex, Data & AI Engineer.
Enrollment is open. New cohorts start every month. Sign up for the course or
book a consultation.
Data&AI Basic
0 steps
Data Science Pro

Data Science Pro

Course Details:

Level: Intermediate
Format: Online learning with mentor support
Duration: 24 sessions
Start: New cohorts begin monthly

Curriculum:
What’s included: Machine learning, neural networks (fundamentals), advanced statistics,
data processing and preparation, model building and evaluation, and business implementation.
Tools: Python, Jupyter Notebook, Google Colab, ML libraries.

Approach:
Learning through real-world case studies and business analytics tasks. You learn not just
to build models, but to interpret their results and apply them in real-world scenarios.

Outcome:
Upon course completion, you will be able to perform in-depth data analysis and build
predictive models. You will be ready to tackle Data Science challenges and work with
real-world products.

Next Steps:
Machine Learning Complex, Data & AI Engineer, or a career as a Data Scientist or ML Engineer.
Enrollment is open. New cohorts start every month. Sign up for the course or
book a consultation.
Data&AI Pro
0 steps
Database Pro

Database Pro

Data&AI Pro
0 steps

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