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

Start Here: Make AI Your VP Business Development Co-Pilot

This prompt course gives VP-level business development leaders and their teams a practical, repeatable way to use AI for growth, partnerships, deals, and market entry. It brings together the full scope of a modern BD mandate-from research and lead generation to M&A, risk, and sustainability-so you can move from idea to decision to execution with more speed, clarity, and confidence.

What this course covers

The course is structured as an integrated set of modules that mirror the daily work of business development. The curriculum spans:

• Market research analysis
• Lead generation strategies
• Business plan development
• Competitive analysis
• Investment opportunity assessment
• Customer relationship management
• Product development insights
• Risk management strategies
• International market expansion
• Mergers and acquisitions analysis
• Sales strategy optimization
• Employee performance analysis
• Financial forecasting
• Technology adoption consultation
• Crisis management planning
• Brand positioning and messaging
• E-commerce strategy formulation
• Networking and partnership opportunities
• Sustainability initiatives planning

Each module uses prompt-driven workflows to turn inputs (data, goals, constraints) into clear outputs (briefings, scorecards, outreach drafts, frameworks, checklists, and action plans). You'll learn how to connect the modules so insights carry forward-market signals inform lead criteria, which inform outreach, which feeds deal evaluation and forecasting, which flow into risk plans and operating reviews.

Key outcomes for students

• Build a market sensing system that summarizes trends, segments, and signals into practical options for action.
• Define and refine ICPs, segment lists, and outreach angles that produce higher-quality first meetings.
• Turn rough ideas into structured business plans with goals, assumptions, metrics, and resourcing needs.
• Compare competitors on factors that matter, reveal whitespace, and stress-test positioning.
• Standardize investment and partnership assessments with comparable criteria and scenario views.
• Translate CRM data into coaching moments, churn warnings, and next-best actions.
• Bridge product and market needs by summarizing voice-of-customer insights and prioritizing features.
• Create risk registers, mitigation steps, and early-warning triggers tied to your initiatives.
• Evaluate and plan country entries, partner routes, localization, and compliance considerations.
• Structure M&A screeners, synergy hypotheses, integration checkpoints, and deal memos.
• Tune sales motions with territory plans, quota logic, enablement needs, and pricing probes.
• Surface team performance patterns and grow capability with targeted enablement actions.
• Turn assumptions into flexible financial views with drivers, sensitivities, and what-ifs.
• Assess new technologies, build adoption roadmaps, and quantify business impact.
• Prepare crisis playbooks with roles, scripts, decision trees, and communication plans.
• Strengthen brand and messaging across channels with consistent storylines and proofs.
• Plan e-commerce moves, from assortment and funnel health to logistics and conversion.
• Systematize networking, partner mapping, and co-marketing opportunities.
• Integrate sustainability goals into plans, reporting, and partner selection.

How the prompts are used effectively

• Start with clear intent: State the role you want AI to play and the single outcome you need (briefing, plan, checklist, outreach draft, risk map).
• Ground with facts: Provide your context, constraints, known data points, and definitions. Better inputs produce better decisions.
• Specify format and criteria: Request outputs that fit your workflow: bullet summary, table-ready text, or a one-pager with headers. Include the criteria you will use to decide.
• Iterate in short loops: Ask for options, critique them, then refine. Treat the model like a fast analyst who improves with feedback.
• Triangulate: Use prompts to compare scenarios, test opposing views, and highlight assumptions that would change the decision.
• Quantify assumptions: Ask for ranges, sensitivities, and thresholds. Tie numbers to drivers that you can check later.
• Connect modules: Reuse outputs across phases: research feeds outreach; outreach feeds deal scoring; scoring feeds forecast and risk; plans feed brand, sales, product, and enablement.
• Keep governance in mind: Avoid pasting confidential data; sanitize inputs; document AI-assisted sections; keep human review for material decisions; watch for bias and compliance issues.

Why this course matters for business development leaders

Business development spans research, prospecting, partnerships, planning, and cross-functional execution. The volume of decisions and the pace of change put pressure on teams. This course gives you a way to standardize analysis, reduce busywork, and create consistent decision frameworks-without losing executive judgment.

• Speed: Shorten research cycles, proposal drafting, and internal briefing prep.
• Consistency: Apply the same criteria across markets, partners, and deals.
• Clarity: Convert scattered inputs into crisp options with trade-offs and next steps.
• Alignment: Produce outputs that sales, finance, legal, and product can act on.
• Learning loop: Capture insights after each motion and feed them back into the next cycle.

How the modules work together

• Sensing: Market research and competitive analysis set the field of play.
• Targeting: Lead strategies, brand positioning, and channel plans focus the motion.
• Engagement: CRM, sales optimization, and partnership outreach move prospects forward.
• Evaluation: Investment, M&A, and financial forecasting compare options with shared criteria.
• Execution: Business plans, product insights, and technology adoption convert choices into action.
• Resilience: Risk management, crisis planning, and sustainability keep plans durable and credible.
• Expansion: International entry and e-commerce strategies open new routes to growth.
• People: Employee performance analysis supports coaching and capacity planning.

The result is a cohesive operating system for business development: a loop that starts with signals, narrows to decisions, and leads to measurable outcomes that inform the next cycle.

Who should take this course

• VPs and directors of business development, corporate development, and strategic partnerships
• Revenue and growth leaders who own market entry, alliances, or M&A
• Founders and GMs building BD muscle in new markets or lines of business
• Enablement and strategy teams supporting BD with research and planning

What you will gain

• Reusable workflows: Prompt-driven processes that you can apply to any market, vertical, or stage.
• Decision frameworks: Scorecards, checklists, and comparison views that make trade-offs explicit.
• Execution templates: Structures for outreach, plans, briefings, forecasts, and risk logs.
• Team alignment: Shared language and outputs that sync BD with sales, finance, product, and legal.
• Metrics focus: Clear ties to pipeline health, win rates, forecast reliability, cycle times, and ROI.

How to get the most value

• Bring a live initiative-a market to enter, a partnership thesis, or a sales motion-to apply the modules as you learn.
• Plug in your actual data: ICP notes, CRM exports, segment definitions, or past deal reviews.
• Agree on decision criteria with stakeholders upfront; the prompts will reflect and reinforce those rules.
• Schedule short review cadences; iterate weekly on research, outreach, and scoring.
• Document assumptions and outcomes; revisit them quarterly to refine your approach.

Where you'll see impact

• Faster time from question to executive-ready brief
• Higher signal-to-noise in prospecting and partner outreach
• More consistent deal and investment assessments
• Stronger linkage between market signals, product choices, and revenue plans
• Better preparedness for risks and unexpected events
• Clearer cross-functional handoffs and accountability

Prerequisites and setup

• Working knowledge of your market, customers, and internal goals
• Access to public or internal data you can safely share
• Basic familiarity with CRM and spreadsheet tools
• Willingness to iterate and give precise feedback to improve outputs

Course ethos

This course treats AI as a practical teammate: fast at synthesis, consistent with frameworks, and helpful at turning ambiguity into structured options. You bring context, judgment, and accountability. The prompts bring speed and structure. Together, they reduce friction from research to results.

Ready to begin?

Start with the market research module to set your field of view, then move through targeting, engagement, and evaluation modules. Close the loop with forecasting, risk, and enablement. Within a short time, you will have an integrated BD workflow that supports smarter decisions and stronger outcomes.