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

Make AI your strategic co-pilot: turn insight into action across the enterprise

AI for Vice Presidents of Strategy (Prompt Course) is a practical, executive-focused program that helps you set up a dependable AI workflow across strategic planning, portfolio moves, financial outlooks, risk, and cross-functional execution. It shows you how to work with AI and ChatGPT in a way that increases the quality and speed of your decisions, while keeping copyright, ethics, and governance in view. You will build an operating rhythm where AI supports your team's daily thinking-scanning markets, stress-testing options, sharpening narratives, and keeping stakeholders aligned.

What you will learn

• How to frame strategic questions so AI produces useful, decision-ready outputs
• Ways to configure custom instructions that consistently reflect your company's context, voice, and goals
• Approaches for trend scanning, competitor interpretation, and scenario thinking that reduce blind spots
• Methods to explore portfolio choices such as product expansion and inorganic growth
• Techniques to combine qualitative insight with quantitative indicators for finance and risk reviews
• Practices for shaping brand direction and customer insight into clear strategic moves
• Patterns that organize innovation, R&D bets, and pipeline prioritization
• Strategies for supply chain and operating model improvements that support the plan
• Guidelines for digital transformation roadmaps, sequencing, and change readiness
• Ways to embed ESG into strategy without losing focus on performance
• Communication frameworks that turn analysis into persuasive executive and stakeholder materials
• Responsible use guidance for copyright, data handling, and model behavior
• How to use AI to create presentation-ready visuals that align with your brand and legal requirements
• Talent and capability planning so your organization can execute with confidence

How the course fits together

The course is structured as a complete operating system for strategic work. You start by setting standards for how AI engages with your team-clear roles, instructions, and consented data sources. From there, modules flow in a sequence that mirrors the strategic cycle:

• Foundation: establish custom instructions, governance, and copyright safeguards
• Insight generation: market signals, customers, competitors, and trend implications
• Strategy formulation: framing choices, testing assumptions, and shaping options
• Portfolio moves: product expansion, innovation pipeline, and inorganic opportunities
• Execution enablers: finance, risk controls, supply chain, and digital capabilities
• Impact and accountability: ESG integration, stakeholder communication, and talent strategy
• Story and visuals: converting analysis into clear narratives and on-brand materials

Each part connects to the next, so outputs from one module become structured inputs to the following step. This continuity is what turns AI from a one-off tool into a consistent partner across planning, review, and execution.

Using the prompts effectively

• Define the decision: Begin every session by stating the decision, success criteria, time horizon, and constraints. Clear questions yield clear outputs.
• Provide structured context: Share concise background-company profile, target segments, competitors, strategic goals, and key metrics. The course shows how to package this context without exposing sensitive data.
• Set roles and tone: Configure AI to reflect your organization's voice, risk appetite, and analytical style, so results feel consistent across meetings.
• Interrogate assumptions: Ask for assumptions, uncertainties, and alternate viewpoints. Treat the model as a thinking partner that proposes, not a system that declares.
• Iterate with checkpoints: Use short cycles: draft, critique, refine. Request rationale and trade-offs to support executive discussion.
• Link qualitative to quantitative: Tie narratives to indicators and ranges. The course explains how to keep story and numbers aligned.
• Preserve an audit trail: Keep summaries, citations, and revisions. This aids governance, board interactions, and future learning.
• Guardrails first: Apply copyright, attribution, and usage rules. Set boundaries on what the model may reference or produce.
• Integrate with your toolset: Export structured outputs to spreadsheets, planning tools, BI, and collaboration platforms for efficient handoffs.

Why this course matters for a strategy office

• Faster cycles: Move from question to options to executive-ready materials in hours, not weeks.
• Better coverage: Systematically address blind spots by testing multiple angles and scenarios.
• Consistency: Standardize analyses and narratives across teams and regions.
• Resource leverage: Free specialist time for judgment, negotiation, and stakeholder work.
• Governance by design: Embed copyright, ethics, and documentation into daily workflows.
• Clear narratives: Convert complex analysis into concise materials that decision makers can act on.

What the course includes

• Modular lessons covering strategy formulation, market and customer insight, portfolio choices, finance and risk, supply chain, digital plans, ESG, and stakeholder communication
• Guidance on configuring custom instructions so outputs reflect your context and style
• Legal and policy guidance for copyright, AI usage rights, and content creation
• Methods for creating images and graphics that support strategy sessions and board materials
• Templates for analysis structures, review checklists, and meeting-ready summaries
• Playbooks for M&A scanning, product expansion assessment, and innovation portfolio reviews
• Tools for talent and capability planning to support execution

Governance, risk, and ethics

The course places strong emphasis on responsible use. You will learn practical steps to protect sensitive information, reduce bias, and apply internal policies confidently. Copyright is addressed from briefing through output review, including attribution, licensing, and approval practices. Risk assessment methods help you keep strategy and compliance connected without slowing progress.

How your team can apply it immediately

• Adopt a standardized AI briefing format for every strategic question
• Run weekly market and customer scans that roll up to a short executive note
• Keep a living set of scenarios and triggers to update plans quickly
• Prepare consistent materials for board and investor interactions
• Coordinate innovation, product, and M&A discussions around a shared option set
• Build a simple cadence: intake, analysis, review, decision, and follow-up-each supported by AI

Who should enroll

Vice Presidents of Strategy, Corporate Development leaders, Strategic Planning directors, Transformation leaders, BizOps and Chief of Staff teams, and senior managers who contribute to enterprise strategy and need a reliable AI workflow that respects policy and accelerates outcomes.

How this course saves time and reduces risk

• Time: Shortens drafting, scenario building, and synthesis so more time goes to judgment and alignment.
• Quality: Encourages structured thinking with explicit assumptions and sources.
• Policy fit: Builds responsible practices into daily use, covering copyright, attribution, and approvals.
• Continuity: Creates reusable analysis assets so each cycle gets smarter.

Your outcome

By the end, you will have a coherent AI-assisted strategy workflow that your team can run every week and every quarter. You will know how to set up context, frame questions, interrogate answers, and convert results into plans, financials, risk views, roadmaps, and stakeholder materials-supported by visuals and compliant processes. The course equips you to make AI a steady contributor to strategic choices and execution, without adding noise or compliance headaches.