AI Upskilling Framework: Level 3 Building (Microsoft Ignite Update)

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.

In third session, Carlotta Castelluccio, Jose Luis Latorre and Dr. Alexander Wachtel will talk about the Level 3: Building!

Creating with AI for business power users and developers

While the first two levels focus on using AI, the third is centered on creating with AI. For many L&D leaders, this is where collaborating with technical leaders on AI upskilling can drive the greatest business impact.

Level 3 includes business power users working with no- and low-code tools as well as seasoned developers. It covers skills like working with APIs (application programming interfaces) and getting hands-on practice with AI tools like Hugging Face and Semantic Kernel to do things like build custom GPTs for your organization. Employees at this level will benefit from hands-on practice, whether it’s building an AI application or using low-code methodologies to leverage large language models.

Please join us!