Claude Code for Product Managers -- RS6891 Certification

Objectives

• Understand how LLMs work and the paradigm shift brought by agentic AI
• Identify PM use cases: briefing, discovery, backlog, triage
• Install Claude Code and complete your first interactions (Ask, Plan)

What's covered

• From chatbot to agent: the evolution of AI tools and the paradigm shift
• How LLMs work: token prediction, limits and capabilities
• PM use cases: meeting prep, discovery synthesis, backlog analysis, inbox triage
• Claude Code: positioning, architecture and principles (terminal, agentic loop, persistent context)
• Installing and configuring Claude Code
• First interactions: Ask and Plan modes on PM tasks
• Exploring an existing project (PM workshop repo)

Objectives

• Structure a CLAUDE.md as a standing PM brief (role, priorities, clients, style)
• Create skills to automate briefing, inbox triage and discovery synthesis
• Assemble a coherent PM assistant combining context, skills and subagents

What's covered

• CLAUDE.md as a standing brief: role, priorities, clients, communication style
• Memory system: persistent vs. ephemeral context
• Skills: creating shortcuts for recurring PM workflows
• Concrete workflows: briefing, meeting prep, inbox triage, discovery synthesis
• Data and MCP: connecting calendar, Notion, Slack, local files
• Anti-hallucination: running on local data, introduction to subagents
• Assembly: context + skills + data + subagents into one coherent assistant
• Orchestration: a main agent delegating to specialized subagents

Objectives

• Build a team CLAUDE.md and shared skills
• Secure your environment (sandboxing, permissions, sensitive data)
• Define a progressive adoption plan

What's covered

• From personal to team context: hierarchical architecture
• Group exercise: building a team CLAUDE.md and shared skills
• Cross-testing: using another participant's environment
• Context governance, propagation, conflicts
• Security and confidentiality: sandboxing, permissions, sensitive data
• Pitfalls to avoid: hallucinations, overconfidence, costs
• Individual action plan: where to start, progressive iterations

Objectives

• Build a Company OS with a team CLAUDE.md, shared skills and governance
• Evaluate ethical and regulatory risks (GDPR, AI Act, bias) (C5)
• Structure the certification report (C1-C4) and prepare the oral defense (C5)

What's covered

• Hierarchical architecture: Personal OS, Team OS, Company OS
• Team CLAUDE.md: conventions, terminology, shared workflows
• Shared skills, propagation mechanism and governance
• Quality evaluation: relevance, consistency, accuracy, bias, hallucinations (C5)
• GDPR and AI Act applied to generative AI, intellectual property
• Bias, environmental impact and best practices
• Sandboxing, permissions and professional security checklist
• Realistic client brief and individual work
• Structuring the written report (10 pages max, covering C1 to C4)
• Structure of the oral presentation (C5) and mock defense
• Post-training self-assessment and resources