AI Strategy for Technical Leaders

Description

This expert-level capstone course equips technical leaders — engineering managers, directors, and senior technical staff — with the strategic frameworks needed to scale AI adoption from individual productivity to organizational capability. Participants design measurement frameworks for AI impact, build internal playbooks for team adoption, establish governance policies for agent deployment, create scaling strategies for cross-team rollout, and develop change management plans that sustain momentum beyond the initial training investment. The course targets leaders who have seen their teams benefit from Claude training and now need to translate that individual skill into organizational strategy.

Who This Course Is For

• Engineering managers, directors, and VPs responsible for team productivity and technology adoption
• Technical leads and architects who influence tooling and workflow decisions across teams
• Operations and program managers responsible for scaling new capabilities across the organization
• Anyone accountable for measuring and reporting on AI adoption ROI to executive stakeholders

What You Will Learn

• Evaluate AI impact using quantitative measurement frameworks — designing metrics, baselines, and reporting structures that demonstrate ROI and identify high-value AI use cases across the organization.
• Create internal AI playbooks that codify team-specific best practices, use case libraries, prompt templates, and adoption guidance into reusable knowledge assets that accelerate onboarding and reduce dependence on individual champions.
• Design agent governance and risk management frameworks that define approval workflows, deployment criteria, monitoring requirements, incident response procedures, and compliance policies for AI-powered automation at organizational scale.
• Formulate cross-team AI scaling strategies that account for varying team readiness levels, diverse use cases, resource constraints, and organizational dynamics to extend AI adoption beyond early adopters.
• Develop change management plans for AI adoption that address stakeholder resistance, maintain executive sponsorship, build organizational culture, and create self-sustaining adoption momentum.

Prerequisites

• Completion of at least one course in the Anthropic Claude Series (LF-12211 through LF-12214) or equivalent hands-on Claude experience
• Familiarity with Claude's capabilities for data analysis, workflow automation, or agent creation (direct experience or team observation)
• Responsibility for at least one team's productivity, tooling decisions, or technology adoption strategy
• A Claude Pro account ($20/month per participant)
• A real organizational context: participants should bring knowledge of their team's current AI usage, pain points, and adoption goals

Delivery Options

• Live, instructor-led