An intensive applied course that takes participants on an end-to-end journey from scratch, starting with selecting a project idea and defining the problem, through to building a prototype ready to present and develop using modern artificial intelligence tools.
The course is designed specifically for people with no previous experience in artificial intelligence, programming, or data analysis. Concepts are explained simply and then applied immediately through clear practical steps.
A practical global methodology
The course uses the globally recognized CRISP-DM methodology to manage and deliver data and AI projects through six core stages:
- Understand the problem and project objective.
- Understand the required data.
- Collect and prepare the data.
- Build the model or intelligent solution.
- Test and evaluate the results.
- Present the project and prepare it for use and further development.
Experience grounded in real projects
Participants benefit from the trainer's experience developing and delivering previous AI projects, including real working steps, challenges, common mistakes, and the transition from an idea to a structured practical project.
By the end of the course, the participant will be able to:
- Understand the complete AI project lifecycle.
- Choose a suitable idea and turn it into a solvable problem.
- Use AI tools to build the project, even without previous programming experience.
- Structure the project according to a scientific and professional methodology.
- Create a prototype for a real project.
- Evaluate and present the project professionally.
- Build a clear foundation for continued learning or future projects.
This course is not a series of theoretical lectures; it is a practical experience in building an AI project step by step, using a global methodology and lessons from real previous projects.