How to effectively learn AI Prompting, with the 'AI for VPs of Strategy (Prompt Course)'?

Start here: Build an AI-ready Strategy Office that makes better decisions, faster

AI for VPs of Strategy (Prompt Course) is a comprehensive, practice-focused program for senior leaders who want to integrate AI into the entire strategy lifecycle-from insight generation and planning to execution, measurement, and continuous improvement. The course assembles a cohesive set of prompt-driven workflows that help you move from slide decks and ad-hoc analysis to a repeatable operating system for strategic decision-making.

What you will learn

• How to structure prompt workflows that produce executive-ready outputs: concise briefings, options with trade-offs, risk registers, and decision narratives.
• How to set context, constraints, and roles so AI systems return grounded, actionable recommendations rather than generic text.
• How to accelerate core strategy work including market insight, planning, scenario development, portfolio choices, and execution alignment.
• How to apply AI safely with data safeguards, sourcing practices, and decision governance that withstands scrutiny.
• How to build an AI playbook for your strategy team: reusable templates, quality checks, and collaboration patterns that scale across functions.
• How to quantify impact with metrics that show time saved, better throughput, improved forecast quality, and stronger strategic alignment.

How the course fits together

The course is organized around the core responsibilities of a strategy office and shows how prompt workflows connect across phases of work. Each module strengthens the others, so outputs from one area become inputs for the next, creating a clear throughline from insight to action.

• Discover: Structured approaches for analyzing markets, competitors, customers, and global dynamics. You'll learn to build repeatable insight engines that feed planning with current, relevant intelligence.
• Decide: Prompts that guide strategic planning, portfolio analysis, performance metric design, and risk trade-offs-so decisions are well-argued, evidence-informed, and aligned with constraints.
• Deliver: Execution-focused workflows covering change initiatives, culture shifts, customer experience improvements, partnerships, and talent plans that keep the strategy moving.
• Defend: Resilience-oriented prompts for crisis planning, risk mitigation, and sustainability, ensuring continuity and stakeholder confidence.
• Expand: Growth-focused modules for innovation, market entry, global expansion, and M&A analysis, allowing you to spot and shape the next set of opportunities.

Why this matters for a VP of Strategy

Most strategy teams face the same constraints: limited time, fragmented data, and a constant need to translate insights into choices leaders can act on. This course equips you with a unified prompt system that:

• Moves faster without sacrificing rigor, by standardizing how the team frames questions and reviews outputs.
• Improves consistency, by applying common templates, assumptions, and risk lenses across all workstreams.
• Builds institutional memory, by turning one-off projects into reusable assets the team can apply again and again.
• Raises decision quality, by comparing alternatives, articulating assumptions, and making trade-offs explicit.

How to use the prompts effectively

While the course contains the detailed instructions, it also teaches the habits that make AI practical for strategy work:

• Context first: Frame the strategic question with crisp objectives, constraints, time horizons, and stakeholder needs.
• Structure the output: Specify the format, sections, length, tone, and rigor you expect-so the result is meeting-ready.
• Ground with evidence: Encourage clear sourcing practices and call-outs for assumptions that need validation.
• Compare options: Require alternatives with pros, cons, costs, and risks; include decision criteria up front.
• Iterate with feedback: Use short loops to refine, challenge, and stress-test before socializing recommendations.
• Guardrails: Apply data privacy norms, red-teaming prompts, and escalation rules for sensitive topics.
• Version control: Track changes to prompts and outputs to maintain auditability and simplify handoffs.

What the course includes

The curriculum spans the strategy function end-to-end and integrates with your existing planning cycles and operating rhythm. You'll find modules that cover:

• Change management and culture initiatives that ensure strategic shifts take root across the organization.
• Competitive and market analysis to keep your choices grounded in current, relevant signals.
• Customer experience strategy to align growth initiatives with real user needs and friction points.
• Data-driven decision practices, including measurement frameworks and model-informed recommendations.
• Globalization and market expansion topics, from entry logic to localization considerations.
• Innovation strategy development that connects opportunity areas with feasibility and value.
• M&A analysis for both target assessment and integration planning.
• Performance metrics and OKR frameworks that tie strategy to execution and accountability.
• Risk management, crisis planning, and resilience design.
• Partnership strategy, including partner selection, deal framing, and governance.
• Strategic planning facilitation methods that accelerate cross-functional alignment.
• Sustainability strategy to manage stakeholder expectations and create long-term value.
• Talent strategy to align skills, incentives, and capacity with the plan.
• Technology strategy and adoption to ensure the right platforms and capabilities support your priorities.

Operating model for an AI-ready strategy team

Beyond single-use tasks, you'll learn how to run your strategy office with an AI-enabled operating model:

• Standardized intake: Shared templates for scoping requests and agreeing on decision criteria with sponsors.
• Reusable libraries: Maintain prompt and output templates for recurring analyses and reviews.
• Quality gates: Lightweight checks for bias, feasibility, and stakeholder sensitivity before circulation.
• Cadence: Weekly rhythms that keep insights fresh and decisions moving to closure.
• Collaboration: Clear handoffs with Finance, HR, Legal, and Product so AI-generated work is adopted, not ignored.

Ethics, risk, and compliance

The course addresses responsible use head-on. You'll learn practical steps for protecting confidential information, assessing vendor risk, handling intellectual property, and documenting assumptions and sources. Guidance includes privacy-conscious workflows and practices for handling sensitive or regulated content.

Proving the value

To secure buy-in and resources, you need measurable outcomes. The course provides a framework to track and socialize value:

• Cycle time reduction for core analyses and updates.
• Throughput gains across the strategy portfolio.
• Quality indicators such as forecast accuracy bands and reduced rework.
• Adoption metrics: how often templates are reused, and by whom.
• Stakeholder satisfaction and decision latency for key forums.

How this course saves time without cutting corners

By combining clear context-setting, precise output formatting, and built-in challenge prompts, the workflows reduce drafting time while improving clarity. You'll spend less time rewriting and more time debating choices and executing decisions.

Who should take this course

• VPs of Strategy and corporate strategy leaders who want a repeatable way to integrate AI into daily work.
• Chiefs of Staff and PMO leads who coordinate strategic initiatives and executive forums.
• Heads of Innovation, M&A, Corporate Development, and Business Unit Strategy who need consistent analysis across teams.

How the learning experience is structured

• Modular lessons: Each topic can stand alone, yet connects into a end-to-end workflow.
• Practical toolkits: Reusable structures that help you produce consistent outputs quickly.
• Progressive difficulty: Start with quick wins, then move to more advanced cross-functional use cases.
• Capstone: Assemble your organization's AI strategy playbook and operating model.

Technology and compatibility

The methods are model-agnostic and work with major AI assistants. You'll learn how to adapt to different capabilities, keep prompts portable, and integrate with your existing productivity tools.

Expected outcomes

• Faster, clearer strategic recommendations that are easier for executives to act on.
• A shared language for analysis, options, and risk-used across the strategy office and partner functions.
• A living library of prompts and templates that reduces rework and preserves institutional knowledge.
• Documented governance and safeguards that make adoption safe and sustainable.

Why start now

Strategy teams that systematize their use of AI gain measurable speed and consistency. This course gives you a structured approach that fits your planning cadence, respects your governance standards, and delivers outputs your leadership will trust.

Next step

Begin with the first module and set up your shared workspace and naming conventions. Within the first few sessions, you'll have a functioning prompt library, clear guidelines for use, and a cadence for producing high-quality strategic outputs on demand.