How to effectively learn AI Prompting, with the 'AI for Business Development Managers (Prompt Course)'?

Start here: Practical AI workflows for Business Development Managers

Course overview

AI for Business Development Managers (Prompt Course) shows you how to apply AI and ChatGPT to the daily work of growing revenue, building relationships, and shaping deals. The curriculum translates proven business development tasks into clear AI workflows so you can produce high-quality outputs faster, reduce guesswork, and make better calls with confidence. You'll learn how to use AI for research, strategy, content creation, analysis, and planning-without getting lost in theory or vague advice.

Across a series of focused modules, you'll practice structured approaches that turn context from your market, customers, and pipeline into practical work products: research briefs, competitive snapshots, pricing rationales, proposal narratives, enablement plans, and more. The prompts inside the course are organized as step-by-step playbooks so you can repeat them, adapt them, and plug them into your existing tools and processes.

What you'll learn

• Market Research: Build clear market views, segment opportunities, profile ideal customers, and surface trend signals that inform territory plans and product conversations.
• Competitor Analysis: Create concise competitor dossiers, map strengths and gaps, and prepare counter-positioning that strengthens proposals and sales enablement.
• Sales Forecasting: Produce scenario-based forecasts, stress-test assumptions, identify leading indicators, and translate narrative insights into inputs your team can track.
• Proposal Writing: Turn raw notes into compelling proposals with structured value narratives, client-specific benefits, and compliant formatting for faster approvals.
• Relationship Management: Systematize outreach, plan touchpoints, capture call notes in a consistent way, and prepare agenda frameworks that move accounts forward.
• Product Development Insights: Convert feedback into actionable product inputs, craft clear problem statements, and articulate value hypotheses that product teams can evaluate.
• Networking Strategies: Prepare outreach angles, refine positioning for events or communities, and structure follow-ups that start meaningful conversations.
• Pricing Strategies: Assess value drivers, frame pricing options, and set discount guardrails with reasoning you can present to leadership and clients.
• Digital Marketing Insights: Translate go-to-market goals into content priorities, channel plans, and messaging that supports account-based and inbound motions.
• Presentation Design: Outline persuasive decks, sequence talking points, and draft speaker notes that hold attention and support decisions.
• Training & Development Programs: Create enablement paths, practice scenarios, and checklists that help new team members ramp faster and stay consistent.
• Risk Assessment: Spot deal and partnership risks early, structure mitigation steps, and document decision logic that stands up to review.

How the modules fit together

The course is structured as a practical arc you can run end-to-end or dip into as needed:

• Start with market and competitor insights to ground your go-to-market priorities.
• Use those insights to inform pricing, digital marketing, and product input.
• Translate decisions into proposals, presentations, and outreach that convert.
• Forecast outcomes, track risks, and strengthen relationships across the account cycle.
• Codify what works through training assets so results scale beyond individuals.

This flow reflects how business development operates in practice-each step informs the next, and the prompts build on shared context so your outputs stay consistent across teams and time.

Using the prompts effectively

• Set a clear objective: Define what you need (for example, a one-page brief, a pricing rationale, or an outreach plan) and the audience who will read it.
• Provide context: Add relevant facts-industry, region, ICP traits, stage of deal, constraints, and any known red flags-so outputs map to reality.
• Specify format: Ask for structured outputs (bullets, tables, sections, checklists) to speed up reviews and handoffs.
• Iterate with purpose: Refine by asking for alternatives, tighter wording, or evidence checks. Keep a version history so improvements stick.
• Ground with data: Where possible, feed sanitized inputs from CRM, spreadsheets, or research notes. The prompts show how to reference and structure this.
• Request rationale: Ask for assumptions, pros and cons, or confidence notes so you can audit the thinking and present trade-offs clearly.
• Stay compliant: Use the privacy and security checklist inside the course to handle sensitive information appropriately.

What you'll produce throughout the course

• Market briefs and ideal customer profiles that connect to pipeline targets.
• Competitor snapshots with positioning notes ready for sales and marketing.
• Forecast summaries and scenario notes for leadership reviews.
• Proposal structures, value narratives, and implementation outlines.
• Account engagement plans with scheduled touchpoints and success metrics.
• Product feedback summaries and prioritized opportunity statements.
• Event and networking plans with outreach angles and follow-up schedules.
• Pricing option sets with assumptions and guardrails.
• Content and channel recommendations tied to revenue goals.
• Deck outlines and speaker notes that support high-stakes meetings.
• Onboarding and upskilling plans for business development teams.
• Risk registers with triggers, mitigations, and owner assignments.

Why this course is useful for business development teams

• Focus on outcomes: Every module points to a tangible artifact you can share with clients, leaders, or partners.
• Built for real schedules: Prompts and workflows are structured to produce good drafts in minutes, not hours, then refine quickly.
• Consistency at scale: Standardized templates make it easier to keep messaging, pricing logic, and risk practices aligned across multiple deals and regions.
• Cross-functional impact: Outputs connect sales, marketing, product, finance, and success teams with the same context and terminology.
• Responsible AI use: Guidance includes privacy, compliance, and bias checks so you can apply AI confidently.

Who should take this course

• Business Development Managers and team leads who want repeatable AI workflows for research, proposals, pricing, and relationship growth.
• Partnerships, alliances, and channel professionals who need fast analysis and personalized outreach without starting from scratch each time.
• Founders and commercial leaders who want structured outputs for board reviews, go-to-market updates, and strategic planning.

How it fits into your workflow

You can run the prompts as standalone tasks or chain them together for larger projects. For example, research outputs can feed competitor reviews and pricing notes; those feed proposal drafts and presentation outlines; finally, forecasting, risk, and relationship plans tie it all together for execution and review. The course shows where to reuse context so you reduce rework and keep messaging coherent across touchpoints.

Data, ethics, and accuracy

• Privacy: Use sanitized data for external systems and follow your company policies. The course flags common pitfalls and how to avoid them.
• Attribution: Where claims matter, ask for citations or references and verify them before sharing externally.
• Bias checks: Request alternate viewpoints and risk highlights to catch blind spots before decisions are made.
• Human oversight: Treat AI outputs as strong drafts; apply your domain expertise, approvals, and compliance checks before publishing.

Time commitment and format

• Self-paced modules you can complete independently or with your team.
• Each module includes process notes, prompt playbooks, and quality checklists.
• Short improvement loops so you can apply lessons on live deals and projects immediately.

Measurable value you can expect

• Faster research cycles and clearer market rationale behind decisions.
• Sharper proposals and presentations that speak to stakeholder priorities.
• More reliable forecasts grounded in documented assumptions.
• Stronger pricing arguments supported by value logic, not guesswork.
• Consistent account follow-through that improves retention and expansion.
• Reusable training assets that shorten ramp-up for new team members.

How the course supports teams and leaders

• Shared language: Prompts and outputs encourage consistent terminology across functions.
• Repeatable processes: Save your best runs as templates for future opportunities.
• Auditability: Documented assumptions and structured outputs help during reviews and approvals.
• Scalability: As your team grows, the same workflows apply with minor tweaks, reducing variance in quality.

Getting started

If you want practical, step-by-step ways to put AI to work across research, pricing, proposals, and relationships, this course gives you a straightforward path. Start with the first module, bring your current deals and accounts, and use the checklists to produce outputs you can share the same day. By the end, you'll have a working library you can reuse across opportunities-clear, consistent, and ready for real business development work.