Artificial intelligence is a cutting edge genre of software that has quickly become a tool we rely on for much of our daily lives. However, as important as the software is to our success, as important is how we operate it and learning to maximize its effectiveness. In order to do this, users must master the art and science of prompt engineering. Prompt engineering is the process of structuring an instruction that a generative AI model can then easily interpret and follow. This process helps to yield the most helpful results for the task at hand. Currently, over 80% of IT professionals think that they have what it takes to use AI properly. However, only 12% actually have the skills to perform prompt engineering effectively. This alone demonstrates the need for fine-tuning these skills.

The Rise of AI Prompt Engineering

In the hiring landscape, as many as 2 in 3 leaders admit that they will not hire candidates without AI skills, and as many as 70% of global workers are in need of upgrading their skills. Studies have also shown that 60% of IT decision makers say that AI constitutes their biggest skill gaps. Although many professionals know the basics of AI, most lack the in-depth knowledge required to advance in their careers.

For example, most desk workers do not know how to effectively use generative AI at work, how to get the most value from generative AI models, or how to leverage trusted data sources in a safe and secure way. This lack in skill has resulted in a 50% hiring gap between AI jobs and AI roles, emphasizing the importance of AI literacy in the workplace. Fortunately, there are several avenues one can take to master prompt engineering, with several methods to choose from.

AI prompt engineering teaches users how to think. There are several ways that one can successfully structure a prompt to maximize results. For general AI models, chain-of-thought, generated knowledge prompting, and least to most prompting are amongst the most effective. However, when using images and video, the options expand to negative prompting, textual inversion, and prompt injection. Although these processes may seem complicated, there are many programs now available for those looking to upskill, reskill, or cross-skill in the AI space. These online, skill-based certificates are tailored to the most practical and in-demand professions. There are also several different unique tracks and avenues of learning that professionals can take to build their own foundation in generative AI prompting.

Conclusion

Research has shown that nearly 75% of IT leaders believe that AI skill gaps must be urgently addressed. It is now clearer than ever that learning new artificial intelligence skills will be vital to the growth and success of the software; Companies offering these training courses are already paving the way. Whether one has a strong foundation in AI use or is just starting out in their journey of using these platforms, there is a place for everyone to learn. Becoming comfortable with the technology of the future is just the start of a bright future for our most advanced technological sidekicks.