AI Academy
HomeDashboardAI CoachReviewerCoursesPromptsPricingCertsCareersAdvisorLogin
Module 7

AI Marketing & Sales

Build the world's most efficient revenue engine

AI Marketing & Sales animated lesson visual

Lessons

Premium

Start the 7-day trial to open this module.

You can still review the module outcomes, capstone, examples, and resources before upgrading.

Start trialView pricing

7.1

AI Market Research

Locked50 min

7.2

AI Paid Advertising

Locked55 min

7.3

AI Email Marketing

Locked45 min

7.4

AI Sales Intelligence

Locked50 min

7.5

Conversational AI for Sales

Locked60 min

7.6

AI Analytics & BI

Locked45 min

Expert Lens

Founder

Think like a founder: what user pain, distribution channel, pricing, and retention loop does this AI capability unlock?

Systems

Think like a first-principles systems builder: separate demos from durable products, and measure the bottleneck the model actually removes.

Infrastructure

Think like an AI infrastructure leader: account for data, latency, cost, reliability, evaluation, and deployment constraints before scaling.

Objectives

  • Deploy AI across the full marketing and sales funnel
  • Build AI-powered sales systems that improve conversion
  • Create personalized campaigns at unlimited scale
  • Measure and optimize with AI analytics

Capstone

AI Revenue System

Build a full-funnel AI system: awareness, lead capture, AI qualification, nurture, and conversion — fully instrumented for optimization.

A live revenue system outperforming the manual baseline with documented metrics.

Real Examples

  • Use AI to generate landing page variants, then judge them against real conversion data.
  • Build a sales-assist workflow that drafts account research and outreach while preserving human relationship context.
  • Turn customer objections into better sales scripts, onboarding copy, and product positioning.

Mastery Checks

  • Explain the core concept without buzzwords.
  • Build a small working artifact, not just a note or prompt.
  • Define an evaluation rubric and test against at least five edge cases.
  • Estimate operational cost, failure modes, and human review requirements.
Back to catalog

Resources

OpenAI Prompt Engineering GuideOpenAI

Use as the baseline for practical prompting, context design, and structured task instructions.

Anthropic Prompt EngineeringAnthropic

Compare prompting guidance across model families and learn how to evaluate behavior, not just single outputs.

Hugging Face CourseHugging Face

Use this for model, dataset, transformer, and open-source deployment fundamentals.