AI Upskilling Framework: Level 5 Deeply Specializing

A framework for AI upskilling by LinkedIn Learning Team.

In this new era of work, AI skills will be critical for nearly every role. But the level of AI readiness will vary: An entry-level sales representative, seasoned marketing professional, data analyst, and engineer will all need different skills to incorporate AI into their day-to-day work. The framework is organized into five levels of AI expertise. The first two levels contain foundational AI knowledge that all employees will need, while the top three levels require deep technical skills and specialized expertise: level 3 is designed for business power users, developers, and data engineers; level 4, for machine learning engineers; and level 5, for cloud specialists, cybersecurity professionals, data scientists, researchers, and those preparing for tech certifications.

AI Upskilling Framework Community Serie by the Global AI Community will happen every Monday for next 5 weeks:
📌 Understanding AI – July 14
📌 Applying AI – July 21
📌 Building AI Solutions – July 28
📌 Training & Maintaining Models – August 4
📌 Deeply Specializing – August 11

In last session, Diana Iacob, Jose Luis Latorre and Dr. Alexander Wachtel will talk about the Level 5: Deeply Specializing!

Level 5 of the framework focuses on helping specialists roles — think DevOps, data scientists, and R&D teams — sharpen their skills in the cybersecurity applications of AI as well as AI cloud solutions like AWS Cloud, Azure, and Google Cloud Platform (GCP).

This group of technical specialists has a particular challenge: The AI skills that they need change on a weekly basis, rather than a monthly basis. This rapid pace of change calls for continuous, in-depth skill-building to help specialists be more agile and productive.

Please join us!