The program is designed for high school graduates and university students who want to master modern AI tools, learn to apply artificial intelligence in real-world tasks, and build digital products without requiring advanced programming skills.
After completion of the program, graduates can apply for the position of Junior AI Specialist.
There is a possibility of free training under the TechOrda program on a competitive basis.
- Bitar AlexanderSenior AI Product Manager, co-founder of Frescio and Iona Swarm OS
- Module 1. Fundamentals of Artificial Intelligence (ML, LLM, GenAI)
- Module 2. Prompt Engineering (basic and advanced level)
- Module 3. AI tools for work and data analysis
- Module 4. Text, image, and multimedia generation (ChatGPT, Midjourney, Gemini)
- Module 5. AI for business and project management
- Module 6. No-code automation (Make, Zapier, Notion AI)
- Module 7. AI Product Management and digital product design
- Module 8. AI agents and automated systems
- Module 9. AI in education, research, and business
- Module 10. AI safety, ethics, and regulation
- Module 11. MVP development of AI products
- Module 12. Final individual project
Admission of students for training under the TechOrda program will be carried out on a competitive basis. The competition will be held in 2 stages:
1. Open test.
The purpose of the test is to determine the candidate's current level of knowledge in the field of information technology, his ability to solve logical and mathematical problems. The test contains up to 30 questions and tasks. Each answer will be evaluated by the admissions committee according to a 3-point system from 0 to 2. In this case, 0 is the absence of an answer or a completely incorrect answer, 1 is not a complete or accurate answer, 2 is an accurate, complete answer. The total score for the test consists of summing up the scores for all questions.
2. The interview.
The purpose of the interview is to determine the level of personal motivation, the seriousness of the attitude to learning, attitude, interest and the opportunity to complete the training. At the end of the interview, the student's readiness to complete the course in the binary system is assessed: ready – not ready.
-
Understand ML, LLM, and GenAI fundamentals - Apply prompt engineering techniques (CoT, Few-shot, structured prompts)
- Use modern AI tools in professional tasks
- Create text, visual, and analytical AI outputs
- Build no-code AI products and automations
- Work with AI agents and workflows
- Perform data analysis using AI tools
- Create business artifacts (reports, presentations, PRDs)
- Design AI products and MVPs
- Work on real-world business cases
- Apply AI in education and research
- Understand ethical and legal aspects of AI usage
- Build a professional AI portfolio