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

Start here: A VP of Marketing's practical AI playbook for insight, strategy, and measurable impact

This course equips senior marketing leaders with a proven approach to apply AI across research, planning, execution, and optimization. It turns large, complex marketing questions into structured, repeatable workflows you can use to brief your team, pressure-test decisions, and stay ahead of shifting priorities. You'll learn how to convert messy inputs into clear outputs-insights, frameworks, plans, and summaries-so you can move from idea to action with confidence and speed.

What you will learn

• How to run market research with AI to synthesize signals, compare segments, and surface insights your team can validate and act on.
• How to shape a cohesive marketing strategy that ties goals, audiences, positioning, and channels together in a practical, testable plan.
• How to evaluate campaign performance, spot what's driving results, and generate specific actions for optimization.
• How to streamline content creation and curation for brand consistency across formats, topics, and stages of the funnel.
• How to refine brand positioning, messaging pillars, and proof points that hold up in competitive contexts.
• How to improve customer segmentation with clearer criteria, use cases, and messaging that resonates.
• How to guide social media strategy with content themes, posting rhythms, and engagement tactics your team can run with.
• How to track digital marketing trends and distinguish signal from noise for smarter bets.
• How to assess competitors with structured comparisons, counter-messaging, and opportunity maps.
• How to create a crisis management plan that protects brand reputation and speeds response.
• How to optimize marketing budgets through scenario planning, channel trade-offs, and ROI logic.
• How to plan and measure influencer partnerships with clear criteria, briefs, and performance methods.
• How to map the customer journey to pinpoint friction, content needs, and channel roles.
• How to enhance email marketing with audience logic, testing plans, and lifecycle flows.
• How to structure a strong product launch from positioning to integrated execution and measurement.

How the modules fit together

The course moves from insight to execution in a way that mirrors how senior leaders make decisions:

• Research and analysis inform direction: Market research, trends analysis, and competitive analysis set the context and expose opportunities.
• Strategy sets the guardrails: Positioning, segmentation, and messaging convert insights into choices about who you serve, what you stand for, and how you win.
• Execution turns plans into programs: Content, social, email, and influencer workstreams express the strategy with consistent narratives and measurable outcomes.
• Measurement drives improvement: Campaign performance evaluation and budget optimization help you double down on what works and fix what doesn't.
• Risk management maintains trust: Crisis planning ensures you are ready with clear roles, responses, and escalation paths.
• Launch discipline accelerates growth: Product launch strategy brings all components together so teams move in concert.

Each area reinforces the others. For example, segmentation clarifies messaging, which guides content and email flows; competitive analysis strengthens positioning; performance evaluation feeds budget allocation; customer journey mapping ties channel decisions to real buyer needs. The result is a connected operating system for marketing leadership.

How to use the prompts effectively

This course shows you how to get consistent, executive-ready outputs from AI. You'll learn to:

• Start with a precise objective: Specify the outcome you need (e.g., brief, SWOT, plan, scorecard) and the constraints (time, budget, channels, audience).
• Provide context that matters: Offer clear inputs such as current goals, audience snapshots, product advantages, and recent performance highlights.
• Set roles and tone: Instruct the AI on the role it should play (e.g., strategist, analyst) and the voice that fits your brand.
• Use structured steps: Break big tasks into phases (e.g., summarize, assess, prioritize, recommend) to reduce noise and improve clarity.
• Request decision-ready formats: Ask for outputs your team can use directly-one-pagers, scorecards, matrices, timelines, and checklists.
• Iterate with critique: Review an output, add corrections, and request revisions. The course teaches how to give feedback that improves the next pass.
• Embed guardrails: Include compliance requirements, brand standards, and region-specific rules to reduce rework and risk.
• Connect to data sources: Feed anonymized summaries from analytics or CRM exports to ground recommendations in reality.

VP-level outcomes you can expect

• Faster clarity: Move from question to draft plans or insights in minutes, then refine with your team.
• Better decisions: Compare scenarios and trade-offs with structured logic you can share with finance, product, and sales leaders.
• Higher consistency: Standardize how your org writes briefs, evaluates campaigns, and reports results.
• Smarter resourcing: Focus your team on high-value work while AI handles first drafts, synthesis, and option sets.
• Reduced risk: Be prepared with crisis workflows and response templates that reflect brand values.

Course flow and learning experience

The course is organized into themed modules that combine strategy concepts with practical, repeatable workflows. Each module builds on the last so your team can move from research and strategy to channel execution, analytics, and optimization without fragmentation. You'll see how to connect insights to plans, plans to briefs, and briefs to measurable outcomes.

Practical applications across your marketing org

• For planning cycles: Use the research and strategy modules to support annual planning, H1/H2 updates, or board prep.
• For weekly operations: Apply performance evaluation, budget optimization, and content planning to run efficient weekly and monthly reviews.
• For cross-functional initiatives: Use positioning, product launch, and customer journey mapping to coordinate with product, sales, and customer success.
• For brand and comms: Apply branding, influencer strategy, and crisis planning to protect reputation and grow reach responsibly.

Data, privacy, and brand safety

Responsible use of AI is built into the course. You'll learn how to keep sensitive information out of prompts, use anonymized or aggregated data, document assumptions, and add review checkpoints. The workflows include prompts that reinforce brand standards, tone guidelines, and compliance requirements so outputs are consistent and safe to use.

Measurement and ROI of AI-assisted marketing

The course helps you quantify value so you can justify adoption across the org. You will track:

• Time saved: Hours reduced for research synthesis, brief creation, and reporting.
• Decision speed: Faster cycles from insight to approved plan.
• Quality lift: Clearer messaging, tighter strategies, and improved consistency across channels.
• Budget accuracy: Sharper scenario planning and fewer low-yield spend decisions.

You'll also learn how to set baselines and create a lightweight scorecard that ties AI-assisted work to tangible outcomes.

What makes this course valuable for VP-level leaders

• Leadership-ready outputs: Frameworks map to the documents you use every week: briefs, plans, decks, and post-mortems.
• Strategic depth with operational detail: High-level choices are linked directly to channel actions and measurement plans.
• Repeatable systems: You get processes your team can run without constant oversight.
• Better collaboration: Shared structures reduce ambiguity between marketing, product, sales, finance, and PR.

How the included modules support your goals

• Market Research Analysis: Quickly synthesize inputs and move from raw data to actionable insights your team can validate.
• Marketing Strategy Development: Translate insights into positioning, goals, and channel choices.
• Campaign Performance Evaluation: Standardize reviews and identify what to keep, fix, or stop.
• Content Creation and Curation: Maintain a consistent message across formats and stages.
• Branding and Positioning Advice: Strengthen your story in competitive settings.
• Customer Segmentation: Clarify who you're speaking to and why they'll care.
• Social Media Strategy Assistance: Bring discipline to planning and engagement.
• Digital Marketing Trends Analysis: Separate hype from useful shifts and choose smart tests.
• Competitive Analysis: Compare players, counter claims, and spot whitespace.
• Crisis Management Planning: Define roles, responses, and escalation to protect trust.
• Marketing Budget Optimization: Tie spend to outcomes with scenarios and trade-offs.
• Influencer Partnership Strategies: Select partners, set expectations, and measure impact.
• Customer Journey Mapping: Pinpoint friction and content needs across stages.
• Email Marketing Optimization: Improve lifecycle flows and testing plans.
• Product Launch Strategy: Coordinate teams and channels for clear, trackable launches.

Common questions

• Will this replace my team? No. The course shows how to use AI to accelerate research, structure thinking, and produce strong first drafts. Human judgment, brand knowledge, and creative direction remain essential.
• Can I use my company data? Yes, with care. The course explains safe ways to provide context and structure without exposing sensitive data.
• How technical is it? It's built for marketing leaders. You won't need coding skills; the focus is clear instructions, structured workflows, and quality review.

What you'll walk away with

• A repeatable system to move from insight to plan to measurable action.
• Clear workflows for research, strategy, execution, and optimization.
• Confidence in using AI to support leadership decisions and team operations.
• Structures your team can adopt for consistent results across channels.

Bottom line: This course gives you a dependable, VP-ready way to apply AI across your marketing function-faster synthesis, tighter strategies, consistent execution, and clearer measurement-so you can make better decisions and ship work that moves the business forward.