The world of Artificial Intelligence (AI) is in constant flux. Amid this barrage of rapidly evolving information, today’s professionals often find it challenging to identify crucial skills and prioritize their learning. To thrive, you need clear, actionable guidance that cuts through the clutter, enabling you to effectively upskill in the AI landscape. In this indispensable report, author Thomas Nield offers vital tools for any AI professional looking to make informed decisions about their skill development. It delivers strategic insights into selecting impactful projects and skills, ensuring that your learning translates into real-world solutions. There are many types of AI products and services for sale, and they all require different skills and serve different talent roles. Discerning these differences allows us to avoid many pitfalls and fallacies in developing talent. After all, an “AI expert” can be anyone from a deep learning researcher to a prompt engineer–or even an operations research specialist who never touches a neural network. This report is written for business and technology professionals looking to upskill for the artificial intelligence boom, as well as executives seeking to upskill their teams. From reading this report, you will learn how to frame skill objectives toward specific outcomes and how upskilling is best started with a problem definition. We will also talk about different areas that translate to different skills needs and what specialties you might want to lean into.

Upskilling AI Professionals PDF

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