AI/LLM Learning Roadmap for L&D Professionals

Month 1: Foundation & Quick Wins

Week 1-2: Core LLM Understanding

Complete Andrew Ng's "Generative AI for Everyone" Coursera Course
Read OpenAI GPT documentation and practice prompting OpenAI Docs
Start a learning journal documenting experiments

Week 3-4: Insurance-Specific Applications

Research AI use cases in insurance industry McKinsey AI Report
Create AI-Powered Insurance Training Content Generator
Generate compliance training scenarios using AI

Deliverable: Present a 10-minute demo showing AI-generated personalized training content

Month 2: Technical Skills & Automation

Week 1-2: No-Code/Low-Code AI Tools

Master Zapier AI integrations Zapier AI
Learn Google Apps Script for L&D workflows Apps Script
Explore Airtable with AI features Airtable AI

Week 3-4: Data & Analytics

Complete Python basics tutorial Python.org Tutorial Kaggle Learn
Learn pandas for training data analysis Kaggle Pandas
Create visualizations with matplotlib Matplotlib Tutorials

Project: Build automated training completion dashboard using Google Sheets + Apps Script + AI insights

Month 3: Advanced Applications & Specialization

Week 1-2: Custom GPT Development

Create custom GPTs for insurance scenarios Custom GPTs Guide
Build a "Compliance Checker GPT"
Master prompt engineering best practices OpenAI Prompt Guide

Week 3-4: Learning Analytics with AI

Study learning analytics fundamentals edX Analytics Course
Implement AI-driven learner pathway recommendations
Explore sentiment analysis for training feedback HuggingFace Sentiment

Project: Develop "Insurance Learning Copilot" for policy questions and training suggestions

Month 4: Innovation & Leadership

Week 1-2: Emerging Technologies

Study multimodal AI applications in training GPT-4V Research
Explore voice AI for accessibility ElevenLabs Voice
Research AR/VR integration with AI

Week 3-4: Strategic Implementation

Create business case for AI adoption in L&D
Develop ROI metrics for AI-enhanced training
Build change management plan for AI integration

Capstone Project: "AI-Transformed L&D Strategy for Insurance" - comprehensive proposal with prototypes

Essential Resources

🤖 AI Platforms & Tools

Hugging Face Hub Kaggle Papers with Code Claude AI ChatGPT

📚 Learning Resources

Fast.AI DeepLearning.AI ML Specialization edX AI Courses

🏢 Insurance Industry AI

Insurance Journal McKinsey Insurance Insurance Business

⚒️ Development Tools

Google Colab GitHub Streamlit Gradio

💡 Project Ideas

🔍 Claims Training Simulator

💬 Policy Chatbot

📋 Compliance Content Generator

🎯 Learning Path Optimizer

📊 Performance Predictor

Weekly Learning Routine

Monday: Technical Learning 2 hours

Wednesday: Project Work 2 hours

Friday: Industry Research & Networking 1 hour

Weekend: Experimentation & Documentation 2 hours

🎯 Monthly Manager Impressions

Month 1: Show cost savings from AI-generated content

Month 2: Demonstrate efficiency gains through automation

Month 3: Present learner engagement improvements

Month 4: Propose strategic AI initiatives with clear ROI

🚀 AI/LLM Learning Roadmap