AI Champion Training

Objectives

• Apply the 4A framework (Augment, Automate, Analyze, Accelerate) and understand the impact beyond productivity
• Understand LLM fundamentals through the AI Fresco workshop and distinguish Workflow, Assistant and Agent
• Master advanced prompt engineering and create agent-specific prompts

What's covered

• The 4A framework (Augment, Automate, Analyze, Accelerate) and impact beyond productivity
• AI Fresco workshop: LLM fundamentals, distinguishing Workflow/Assistant/Agent
• Advanced prompt engineering and creating agent-specific prompts

Objectives

• Understand RAG, fine-tuning, AI agent architecture and MCP
• Build agents of increasing complexity: simple, multi-source, orchestrator
• Create automated workflows with no-code tools (Make, n8n, Zapier)

What's covered

• RAG, fine-tuning, AI agent architecture and the MCP protocol
• Progressively building agents: simple, multi-source, orchestrator
• Automated workflows with no-code tools (Make, n8n, Zapier)

Objectives

• Map existing workflows and prioritize by impact (reach, frequency, value)
• Scope a Minimal Viable Agent (MVA) and apply the Use Case Canvas
• Build a V0 AI assistant and know the escalation checklist

What's covered

• Mapping existing workflows and prioritizing by impact (reach, frequency, value)
• Scoping a Minimal Viable Agent (MVA) with the Use Case Canvas
• Building a V0 AI assistant and an escalation checklist

Objectives

• Identify the 5 profiles of adoption obstacles and simulate interactions through role-play
• Adopt the non-managerial posture and the "Orient & Support" approach
• Master 4 workshop formats (AI Coffee, Pain Point Session, Agent Clinic, Build Together) and build your action plan

What's covered

• 5 profiles of adoption obstacles and role-play to defuse them
• Non-managerial posture and the "Orient & Support" approach
• 4 workshop formats: AI Coffee, Pain Point Session, Agent Clinic, Build Together
• Building your own personalized action plan