Ep 705: How to Train Your Team on AI: The 7 Steps to Educate Your Organization on LLMs

The episode addresses the gap between companies' AI investments and their employees' AI training. It highlights that while most companies plan to increase AI investment, very few have mature AI deployments, and even fewer mandate AI training. To bridge this gap, seven steps are outlined, emphasizing that leadership must adopt AI first, fix broken workflows before implementation, and commit to a single AI platform. The discussion stresses the importance of rebuilding skills through comprehensive training, documenting procedures, mandating hands-on practice, and shifting from AI operators to orchestrators. The host suggests companies should focus on AI outputs rather than just usage rates and should encourage employees to experiment with AI to solve departmental problems.

Outlines

Part 1: The AI Training Gap

Part 2: Leadership, Culture, and Strategy

Part 3: Training Layers and Knowledge Capture

Part 4: Implementation and Future Roles

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Everyday AI Podcast – An AI and ChatGPT Podcast

Part 1: The AI Training Gap

The AI Training Gap: Companies Investing in AI but Neglecting Employee Training

Seven Steps to Educate Your Organization on Using Large Language Models

Part 2: Leadership, Culture, and Strategy

Step 1: Leadership Must Use AI Daily, Creating Cultural AI Adoption

Step 2: Fix Broken Workflows Before Adding AI to Improve Processes

Step 3: Pick One AI Platform and Commit to Avoid AI Sprawl

Part 3: Training Layers and Knowledge Capture

Step 4: Train in Three Layers: Literacy, Domain-Specific, and Data Understanding

Step 5: Document Procedures, Not Just Data, to Capture Human Intelligence

Part 4: Implementation and Future Roles

Step 6: Mandate Hands-On Practice with Real Outputs for Continuous Learning

Step 7: Shift from Operator to Orchestrator with AI Agents

Ep 705: How to Train Your Team on AI: The 7 Steps to Educate Your Organization on LLMs

Everyday AI Podcast – An AI and ChatGPT Podcast

Part 1: The AI Training Gap

00:00The AI Training Gap: Companies Investing in AI but Neglecting Employee Training

The AI Training Gap: Companies Investing in AI but Neglecting Employee Training

01:12Seven Steps to Educate Your Organization on Using Large Language Models

Seven Steps to Educate Your Organization on Using Large Language Models

Part 2: Leadership, Culture, and Strategy

04:17Step 1: Leadership Must Use AI Daily, Creating Cultural AI Adoption

Step 1: Leadership Must Use AI Daily, Creating Cultural AI Adoption

07:00Step 2: Fix Broken Workflows Before Adding AI to Improve Processes

Step 2: Fix Broken Workflows Before Adding AI to Improve Processes

08:38Step 3: Pick One AI Platform and Commit to Avoid AI Sprawl

Step 3: Pick One AI Platform and Commit to Avoid AI Sprawl

Part 3: Training Layers and Knowledge Capture

14:01Step 4: Train in Three Layers: Literacy, Domain-Specific, and Data Understanding

Step 4: Train in Three Layers: Literacy, Domain-Specific, and Data Understanding

17:21Step 5: Document Procedures, Not Just Data, to Capture Human Intelligence

Step 5: Document Procedures, Not Just Data, to Capture Human Intelligence

Part 4: Implementation and Future Roles

21:43Step 6: Mandate Hands-On Practice with Real Outputs for Continuous Learning

Step 6: Mandate Hands-On Practice with Real Outputs for Continuous Learning

23:53Step 7: Shift from Operator to Orchestrator with AI Agents

Step 7: Shift from Operator to Orchestrator with AI Agents