AI training: Why professionals are investing in technological literacy
Artificial intelligence is already integral to many professional activities, from content creation to data analysis. In this context, learning how to use these tools is just the beginning. It’s also essential to understand how the technology works and its potential applications.
The challenge is to transform the daily use of AI tools into practical knowledge. For professionals, this means identifying opportunities for application, crafting more effective commands, evaluating generated responses, and recognizing the technology’s limitations.
Why professionals are pursuing AI training
The advancement of artificial intelligence is also reshaping the skills required in the job market. The World Economic Forum’s Future of Jobs 2025 report identifies artificial intelligence and big data analysis as the fastest-growing skills between 2025 and 2030. The study surveyed over a thousand companies across various sectors.
The report further estimates that 39% of current workplace skills will need to be replaced or updated by 2030. As a result, continuous learning and upskilling have become essential to keep pace with technological changes.
For professionals, training doesn’t have to be limited to advanced technical knowledge. AI literacy involves understanding basic concepts, knowing how to interact with tools, and identifying situations where technology can add value to their work.
What does it mean to master artificial intelligence?
Someone might use a chatbot every day but still have little understanding of how to achieve consistent results. A key aspect is the ability to provide adequate context, set clear goals, and review the responses generated by the tool.
In practice, this can be applied to tasks such as:
- organizing and summarizing information;
- structuring presentations and documents;
- researching and comparing content;
- generating ideas and alternatives;
- supporting analysis and work processes.
Artificial intelligence also requires critical thinking. Generative models can produce incorrect data, misinterpret commands, or provide seemingly convincing answers without sufficient evidence.
Therefore, training involves both understanding the tools and knowing how to apply them in daily professional life.
In which areas can training make a difference?
Knowledge of artificial intelligence can benefit professionals across various sectors, even when their role isn’t directly related to technology.
In marketing, for example, AI tools can support research, planning, and content creation. In finance, they can help organize and analyze information. In human resources, they can be used to structure documents and analyze data.
LinkedIn also identified AI literacy as one of the fastest-growing skills across various regions and professional roles in 2025. The platform emphasizes that familiarity with AI tools is becoming a key differentiator in the job market.
In this context, learning AI can mean more than mastering a specific tool. As technology evolves rapidly, understanding concepts and application methods helps professionals adapt to new solutions.
Pre-MBA in Artificial Intelligence at Saint Paul
The Pre-MBA in Artificial Intelligence was designed for professionals who want to deepen their understanding of the technology and its applications. The program combines introductory content and practical activities in an online format.
The goal is to present artificial intelligence in an accessible way for those who need to understand its potential in a professional context, without requiring prior technical training.
For professionals looking to start or expand their AI training, the course offers a short-term option to engage with the technology’s concepts and applications. Continuous learning is likely to become even more important as new AI-based tools and work methods emerge across various professional fields.








