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

Make AI Your Marketing Force Multiplier: A VP-Level Prompt Course That Drives Strategy and Execution

This course equips senior marketing leaders with a practical, executive-ready system for applying AI and ChatGPT across the entire marketing function. You'll learn how to convert business goals into structured prompt workflows, build cross-channel consistency, and install guardrails so AI augments team performance without risking brand integrity. The focus is on outcomes: faster research cycles, sharper strategy, stronger creative, smarter channel mix, and continuous optimization informed by feedback and data.

Who This Course Is For

Vice Presidents of Marketing, Heads of Brand and Growth, and senior managers who direct multi-channel initiatives, lead cross-functional teams, and are accountable for pipeline impact, brand health, and ROI. If you need AI to support both strategic planning and day-to-day delivery-while keeping compliance, quality, and measurement front and center-this course is built for you.

What You Will Learn

• Convert high-level marketing objectives into structured prompt workflows that produce useful insights, plans, and assets.
• Create a unified prompt library that enforces brand voice, compliance requirements, and quality standards across teams and partners.
• Spin up research-to-insight processes that inform segmentation, positioning, and channel priorities.
• Operationalize AI for content ideation, SEO planning, and creative guidance without losing strategic direction.
• Use AI to pressure-test campaigns, anticipate competitive responses, and plan contingency communication.
• Link prompts to KPIs and diagnostics so AI output ties to measurable results, not just activity.
• Build governance: data privacy, IP considerations, review workflows, and human-in-the-loop quality control.

How the Course Is Organized

The program moves from insight generation to go-to-market execution and ongoing optimization. It covers core marketing functions and shows how they connect into a repeatable system you can scale across your organization. The modules include market research, content creation ideas, competitive analysis, SEO strategy, branding guidelines, customer persona creation, marketing channel optimization, social media strategy, email marketing campaigns, product launch strategy, feedback analysis, influencer partnership strategy, event marketing strategy, crisis communication planning, customer journey mapping, video marketing strategy, and affiliate marketing optimization.

Each module clarifies goals, provides reusable prompt patterns, suggests team roles and checkpoints, and shows how to measure outcomes. The emphasis is on building reliable, auditable workflows-not one-off tricks-so your team can produce consistent results under real deadlines.

How to Use the Prompts Effectively

• Start with the business objective: Define the audience, goal, time horizon, and constraints so AI output is actionable.
• Provide context: Feed the model with brand tenets, product tiers, ICP notes, and any approved data summaries to anchor responses.
• Structure the tasks: Break work into steps (e.g., research, synthesis, planning, execution, QA) and apply prompts that reinforce each step.
• Enforce standards: Use prompt elements that codify tone, claims policy, and legal/compliance rules; include review gates before publishing.
• Iterate methodically: Ask for critiques, alternatives, and prioritized next actions; keep a change log to improve prompts over time.
• Quantify success: Tie prompts to KPIs (traffic, engagement, pipeline, retention) and set thresholds for acceptance.
• Enable collaboration: Share prompt templates, naming conventions, and usage notes so teams and agencies work from the same playbook.
• Mind the data: Avoid sensitive inputs, cite sources, and document what information was included to simplify audits and approvals.

How the Modules Work Together

This course is built as an interconnected system:

• Research and feedback analysis inform personas, positioning, and brand guidance.
• Brand guidance anchors every channel module to maintain consistency while allowing channel-specific nuance.
• Personas feed SEO, content ideas, social media, email, and video planning so each asset speaks to real customer motivations.
• Competitive analysis and crisis planning provide guardrails and contingency plans for campaigns and launches.
• Marketing channel optimization links to influencer, affiliate, and event strategies, with prompts that evaluate trade-offs and ROI.
• Customer journey mapping organizes initiatives across stages, clarifies cross-channel handoffs, and surfaces measurement points.
• A central prompt library acts as the connective tissue-codifying voice, compliance, and evaluation criteria across all modules.

Where You'll See Value Quickly

• Faster strategy cycles: Move from questions to credible options and draft plans in hours instead of weeks.
• Sharper positioning and content: Maintain a consistent voice while producing channel-ready ideas at volume.
• Better allocation decisions: Use AI to compare channel scenarios, identify diminishing returns, and focus resources.
• Improved collaboration: Give teams and agencies shared templates, standards, and review steps that reduce rework.
• Higher confidence in outputs: Bake in compliance rules, claim substantiation, and brand guardrails.
• Measurable impact: Connect prompts to KPIs so you can prove value to finance, sales, and the executive team.

Key Topics Covered Across the Modules

• Market insights and segmentation that inform strategy and creative direction.
• Idea generation that respects brand voice and buyer intent, ready for SEO and channel plans.
• Competitor monitoring and scenario testing to pre-empt moves and maintain differentiation.
• Search strategy connected to content calendars and technical recommendations.
• Brand governance that scales across teams and external partners.
• Persona development with practical links to messaging, offers, and asset formats.
• Channel optimization that compares costs, reach, and expected outcomes.
• Social and email strategies with cadence, testing plans, and conversion paths.
• Product launch orchestration across content, PR, partners, and sales enablement.
• Feedback loops using surveys, reviews, and social signals for continuous improvement.
• Influencer and affiliate approaches with selection criteria, risk checks, and performance reviews.
• Event strategy integrated with pipeline targets and post-event follow-up.
• Crisis communication with scenario libraries, notification tiers, and response templates.
• Customer journey mapping that ties initiatives to moments that matter and to measurement.
• Video planning that aligns topics, formats, and distribution with funnel goals.

Governance, Ethics, and Risk Management

AI can accelerate good work-and mistakes. This course addresses privacy, IP, and brand safety. You'll learn how to avoid sensitive inputs, cite sources, set approval gates, and define human review steps. It covers bias checks, factual verification, and ways to keep AI-generated claims within legal and regulatory limits. Policies are translated into prompt elements and checklists that support audits and stakeholder trust.

Measurement and ROI

The course links prompt workflows to metrics from the outset. You'll see how to define success criteria, structure A/B comparisons, and set acceptance thresholds for AI-assisted deliverables. The goal is to replace vague activity with clear performance signals-so budgets, headcount, and executive updates reflect measurable gains.

Implementation Roadmap

• Phase 1: Baseline and governance-select tools, align on data and brand rules, and set review workflows.
• Phase 2: Insight foundation-apply prompts for research, personas, and brand guidance; publish the first version of the prompt library.
• Phase 3: Channel rollout-apply prompts to SEO, content, social, and email; connect outputs to KPIs and dashboards.
• Phase 4: Expansion and resilience-product launches, influencer and affiliate, events, crisis planning; refine measurement and QA.
• Phase 5: Continuous improvement-feedback analysis, journey mapping updates, library versioning, and quarterly audits.

What Sets This Course Apart

• Executive focus: Built for leaders who answer to revenue, brand health, and efficiency, not just content volume.
• System over tactics: You get a durable framework that survives staffing changes and agency transitions.
• Quality and compliance: Prompts, checkpoints, and documentation that support approvals and reduce risk.
• Scalability: A shared library and workflow structure that teams can adopt without heavy change management.

Prerequisites and Time Commitment

• Access to a mainstream AI assistant and basic familiarity with your brand assets and analytics.
• Light data preparation: summaries of audience segments, core offers, and top-performing assets help the model produce better work.
• Suggested cadence: short sessions to set up governance and the prompt library, followed by module-based rollouts integrated with ongoing campaigns.

Limitations and How We Address Them

• AI can be inaccurate: The course embeds verification steps and requires sources or reasoned explanations where possible.
• Brand voice drift: Central brand guidance and QA prompts keep responses consistent with your standards.
• Overproduction without impact: Measurement gates ensure outputs tie to objectives and KPIs.
• Compliance and IP: Policies are translated into reusable prompt components and documented review steps.

Expected Outcomes

• A shared prompt library that codifies your strategy and brand rules.
• Research-to-plan workflows that compress time-to-decision.
• Channel strategies that are consistent, data-informed, and test-ready.
• Campaigns and launches supported by clear messaging, sequencing, and contingency plans.
• Routine feedback cycles that keep content and offers aligned with customer needs.
• Governance that builds stakeholder confidence and eases approvals.

Get Started

If you lead marketing outcomes and want AI that supports strategy and execution-without sacrificing quality or control-this course gives you the framework, prompts, and governance to make it work at VP scale. Begin with the insight modules, publish your first prompt library, and roll out across channels with measurement built in from day one.