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Video course · 15 chapters · 84 min · certificate

AI for Learning and Development: Smarter Training That Scales

Use AI to run learning and development faster: training needs analysis from performance reviews, content and quizzes, personalized programs, impact measurement and survey analysis, and winning leadership buy-in.

What you'll learn

  • Use AI to accelerate L&D without replacing strategy
  • Turn performance reviews into a training needs analysis
  • Create guides and quizzes with AI
  • Personalize training for different audiences
  • Analyse surveys and measure training impact
  • Pitch AI tools to leadership

Chapters

15 chapters · 83:48
  1. 2:34 01Intro Members Welcome and speaker An HR mentorship session introducing an L&D practitioner who uses AI in daily training work.
  2. 3:59 02Context Members Why AI for L&D now Continuous learning is essential, and AI makes it possible to deliver more with the same team.
  3. 5:39 03Problems Members L&D challenges The real problems: generic trainings, getting content, and keeping learners engaged.
  4. 2:41 04Mindset Members AI as accelerator AI doesn't replace L&D strategy; it accelerates execution of plans you already have.
  5. 3:30 05TNA Members Training needs analysis with AI Using AI to structure a training needs analysis from organizational data.
  6. 4:22 06Demo Members Demo: reviews to training needs Turning a performance review summary into development suggestions with ChatGPT.
  7. 7:45 07Content Members Content: guides and quizzes Building tailored learning content, including guides and quizzes, with a systematic AI workflow.
  8. 6:56 08Personalization Members Personalized L&D Avoid one-size-fits-all training: tailor programs to different people's actual problems.
  9. 7:27 09Analytics Members Measuring impact Combining training, appraisal and exit data so AI can show trends per department.
  10. 8:25 10Demo Members Demo: survey analysis Analysing post-training survey results with AI to see what really worked.
  11. 5:49 11Toolkit Members Prompts and tools Useful prompts, such as feedback pattern analysis and post-training action plans, and tools to try.
  12. 5:59 12Adoption Members Getting leadership buy-in Pitching AI tools to leadership by showing multiplied output and practical use cases.
  13. 1:57 13Next steps Members LMS and next steps Using an LMS for recorded sessions and making sure everyone keeps learning.
  14. 6:17 14Q&A Members Q&A: chatbots Answering how to implement an internal AI chatbot using projects and shared knowledge.
  15. 10:28 15Q&A Members Q&A: partnering with AI Final questions on treating AI as a partner, transitioning into L&D, and closing thoughts.

Jobs this course suits

Our AI checked this course against 500 jobs; these get the most out of it. Each job links to its learning path.