What you'll learn:
- Explain generative AI, LLMs, prompts, NLP, and how they apply to sales execution and engagement
- Create AI-powered account plans and pre-call research briefs to improve meeting preparation
- Use conversation intelligence to summarize calls, capture next steps, and flag objections & risks
- Generate personalized outreach (emails, LinkedIn, proposals) faster while staying on-brand and accurate
- Apply real-time AI guidance to handle objections, competitor mentions, and key sales moments live
- Build an adoption plan: select use cases, run pilots, measure ROI, and scale responsibly
Have you ever felt like most of your day in sales is spent doing everything except selling?
Consider a few realities shaping modern sales execution and engagement:
Sales teams using AI are more likely to see revenue growth (83% vs. 66%).
Most reps spend less than 30% of their week actually talking to customers.
Buyers expect personalization, faster follow-up, and deeper business context—every time.
Sales is getting harder: longer cycles, more stakeholders, more competition, more tools, and more information to sift through. But generative AI is changing what “great execution” looks like—by taking busywork off your plate, turning conversations into insights, and helping you engage customers in a more relevant, timely way.
That’s exactly what this course is designed to teach.
In Generative AI for Sales Execution and Engagement, you’ll learn how to apply generative AI and conversation intelligence across the full sales workflow—from planning and prospect research to live calls, follow-up, coaching, and team adoption.
In this course, you’ll learn how to:
Understand the fundamentals of generative AI, LLMs, prompts, NLP, and CRM integration
Use AI to build smarter account plans and prospect research briefs in minutes (not hours)
Apply predictive lead scoring concepts to prioritize the right opportunities
Turn sales calls into transcripts, summaries, action items, and CRM updates automatically
Spot objections, competitor mentions, sentiment shifts, and buying signals using AI insights
Use real-time AI guidance tools to stay on message during live conversations
Generate personalized emails, LinkedIn messages, proposals, and decks—without sounding robotic
Ground AI outputs in trusted sources to reduce hallucinations and improve accuracy
Implement AI for sales training: role-play simulations, coaching insights, and faster ramp time
Roll out AI with a practical adoption framework: pilots, metrics, process redesign, change mgmt
Follow best practices for quality control, privacy, ethics, and responsible customer-facing AI
This course is practical and sales-focused: you’ll see real tools, real workflows, and real examples—plus a detailed case study showing how a sales organization used conversation intelligence to increase close rates and ramp reps faster.
Whether you’re an individual seller looking to get time back, or a sales leader trying to modernize your team’s execution, this course will help you build an AI-enabled sales workflow that improves productivity, consistency, and engagement—while keeping the human relationship at the center of the deal.
