If you’re at the beginning of your journey with AI and looking for a course that helps you structure not just your skills, but your understanding of how to work with AI – this is a very good choice.
The course helped me structure how I think about AI and how to work with different tools more effectively. It shows how to define goals, build clear briefs, and write prompts that lead to outputs with real analytical and substantive value.

The modules are short – around 30 minutes – but focused and logically structured. You start with the fundamentals and limitations of the technology, and then move into practice: iteration, refining prompts, and evaluating the quality of outputs.

At the moment, I mainly use what I learned for deeper analysis of large datasets, consumer reports, and for building forecasts based on historical data. I still validate all outputs and review the process itself, but working with AI significantly speeds up the analysis – especially when dealing with complex, often international or academic reports.

What this course really changed for me is my attitude towards working with AI. It taught me discipline – in how I brief, how I structure prompts, how I define my needs and set clear goals. I’ve noticed that this way of working naturally translates into how I communicate with my team as well. Clearer thinking, clearer briefs, better outcomes – both with AI and in real collaboration. It’s a simple shift, but you can feel the difference in both speed and quality of work.

I also see strong value in the sections focused on ethics and legal aspects. The regulatory landscape around AI is still evolving, and the course provides reliable sources worth following. It helps you stay informed without getting lost in the noise.

Another aspect I appreciated was the certification format – based on a real, practical project. In my case, I developed a strategy for the role of an “AI-Driven SEO Specialist” in the jewellery industry. The project was recognised during Graduation Day for its clear, step-by-step collaboration with AI, where each stage logically built on the previous one.

If I were to point out one area for improvement, I’d love to see more case studies and examples of advanced prompts earlier in the course, to better understand the full range of possibilities from the start. That said, the course delivers on its promise: it provides a solid foundation to start using AI in a conscious and effective way in everyday work.

It builds a process-oriented mindset, encourages practical application, and reinforces discipline in defining goals – all of which are just as valuable in team collaboration.

To sum up, Me+AI is a well-structured, practical program that genuinely improves how you work with AI. If your goal is to quickly understand the space and start applying it in a business context, it’s a smart and worthwhile investment of time. I’d recommend it as a strong foundation for further development.

Detailed information about the Me+AI course, its curriculum, and the benefits of joining the CampusAI community can be found [HERE]-