Enterprise Agent Governance: LLM Model Strategies
EAG-101Master enterprise AI governance with strategic LLM model management. Learn to build robust frameworks for deploying, monitoring, and governing AI agents across your organization using Azure AI services.
🚀 Transform Your AI Leadership with Enterprise-Grade Governance
Navigate the complex landscape of Large Language Model (LLM) deployment with confidence. This intensive training equips executives and AI leaders with the strategic frameworks needed to govern AI agents effectively—from model selection through retirement. Master the critical balance between innovation velocity and responsible AI practices.
💡 What You'll Master
- Strategic Model Selection: Navigate trade-offs across off-the-shelf, fine-tuned, and RAG-based AI solutions
- Five Governance Pillars: Content integrity, quality assurance, ownership clarity, relevance optimization, and information architecture
- Executive Alignment: Define sponsorship models with measurable goals, vision statements, and performance KPIs
- Lifecycle Operationalization: Deploy governance across model selection, deployment, monitoring, and retirement phases
- Team Enablement: Build training paths for creators, reviewers, and end users
- 90-Day Roadmap: Implement actionable governance that balances strategy, risk mitigation, and innovation
📦 Premium Toolkit Included
Receive our comprehensive Agent Governance Toolkit featuring vision templates, model-type checklists, lifecycle management maps, and implementation frameworks. Learn from AI governance experts through interactive case studies and real-world scenarios. Executive certificate included. Optional private workshops available for customized leadership team planning.