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There’s been a lot of buzz about how to use generative AI for L&D, such as for image generation or script writing. However, in the emerging augmented intelligence economy, AI is becoming more than just a tool.
Jim Goodell is editor and lead author of the Learning Engineering toolkit, co-author of “Student-Centered Learning: Functional Requirements for Integrated Systems to Optimize Learning” and a thought leader in the world of learning engineering and data standards. He is Director of Innovation at Quality Information Partners, where he helps lead development of the US Department of Education sponsored Common Education Data Standards. He is Chair of the IEEE Learning Technology Standards Committee, chairs the IEEE Industry Consortium on Learning Engineering Competencies, Curriculum, and Credentials SIG, the IEEE Competency Data Standards Workgroup, the Adaptive Instructional Systems Interoperability Workgroup, and serves on the ICICLE Steering Committee. He supports the US Chamber of Commerce Foundation’s T3 Innovation Network and co-led development of the Learning and Employment Record (LER) Wrapper Specification. Prior
The Second Edition of Machine Learning Engineering with Python is the practical guide that MLOps and ML engineers need to build solutions to real-world problems.