Advanced Applied AI For Women AEs And AMs in Tech Sales
Taught by Heather Bell, a 30-year tech sales veteran, former VP of Sales, and applied-AI educator who has trained hundreds of women in tech sales. AI Edge is a 3-week advanced applied-AI program designed to help women AEs and AMs evaluate AI outputs, build stronger AI workflows and use AI more effectively to make better sales decisions and improve sales performance.
3 WEEKS
Structured learning across 11 working days
11 HOURS
11 hours of advanced AI instruction
CERTIFICATE
Certificate of Completion upon successful completion
Built for the next level of AI-Enabled Selling
Most sellers already have access to AI tools. AI Edge develops the judgment, evaluation skills and workflow design capabilities required to use AI more effectively in real sales decisions.
The course focuses on advanced applied AI skills for real account, customer and opportunity work.
What you will learn
Module 1 - Human AI Decision Making for Sellers
Learn how to apply advanced AI literacy to sales decisions: when AI should assist, recommend or act, and when human judgment and oversight must remain in control.
Module 2 - Context Engineering for Better AI
Move beyond basic prompting using advanced prompt engineering and context engineering techniques that structure goals, evidence, constraints and customer context for more reliable AI outputs.
Module 3 - Evidence First AI Research
Use AI for account, customer and market research while applying AI evaluation techniques to verify sources, separate evidence from inference and identify unsupported conclusions.
Module 4 - AI-Assisted Account & Customer Strategy
Develop AI-augmented role-specific skills by turning AI-generated research and customer context into commercial hypotheses, priorities, risks and strategic next actions.
Module 5- Stakeholder & Relationship Reasoning with AI
Use advanced AI reasoning to analyze stakeholder influence, priorities and relationship gaps while recognizing where incomplete data, organizational politics and human judgment limit AI recommendations.
Module 6 - AI-Assisted Discovery & Conversation Analysis
Apply AI-augmented sales skills to conversation data to identify missing evidence, contradictions, weak assumptions, unanswered questions and the highest-value areas for further discovery.
Module 7 - Opportunity Strategy & Deal Risk
Use AI to evaluate opportunity evidence, pressure-test business cases, identify hidden deal risk and improve decision quality while maintaining appropriate human review of commercially consequential recommendations.
Module 8 - Challenge, Verify, Evaluate, and Elevate AI Outputs
Learn practical AI evaluation and Responsible AI methods for testing accuracy, bias, unsupported inference, evidence quality and commercial usefulness before acting on AI-generated recommendations.
Module 9 - Human-Agent & Cross-Tool Workflow Design
Understand AI agents and agentic workflows and design repeatable sales workflows using goals, context, tools, actions, handoffs, guardrails and human-in-the-loop checkpoints.
Module 10 - Capstone Build: AI-Assisted Sales Decision Workflow
Build an applied AI workflow for a real or sanitized sales use case that combines prompt/context engineering, AI-assisted reasoning, agentic workflow concepts and human oversight.
Module 11 - Capstone Evaluation: Challenge, Verify & Decide
Conduct a final AI evaluation of the workflow, test failure points, verify evidence, apply Responsible AI controls and document where AI should act, assist or defer to human judgment.
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