AI Upskilling Framework: Level 2 Applying

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 second session, Hanna Schwab, Jose Luis Latorre and Dr. Alexander Wachtel will talk about the Level 2: Applying!

Helping all employees apply AI to everyday work

The second level is for employees who have gained basic AI fluency and are ready to get hands-on with AI. Core skills include chatbot prompting and collaborating with AI assistants, as well as how to think critically when using AI. Level 2 moves beyond education (how and why AI can help you with parts of your job) to practice, so people can learn firsthand how to harness AI for specific tasks and roles.

This level is appropriate for all professionals, including leaders and managers. Every employee can benefit from topics such as building a generative AI strategy or using AI to foster a collaborative team culture.

Please join us!