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Microsoft

AI-Enhanced Prospecting and Sales Techniques

Microsoft via Coursera

Overview

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Building upon foundational knowledge, this course delves into advanced sales methodologies utilizing AI tools to transform prospecting and sales tactics. Participants will explore how to use AI tools for generating leads and qualifying them effectively, employing AI to analyze and leverage customer data for strategic insights. The course includes hands-on practice in developing prospecting techniques and harnessing AI-driven data analysis methods to understand customer needs better, thus crafting more compelling sales presentations. Participants will learn to customize sales communications using AI-generated templates, mastering the art of tailoring messages to align with specific customer preferences and behaviors. By the end of the course, learners will be adept at employing sophisticated AI techniques to enhance prospecting efforts, influence customer decisions, and optimize sales presentations for diverse market segments. This course ensures that participants can develop AI-powered strategies that align with competitive sales environments, positioning them as effective sales professionals.

Syllabus

  • Enhancing Lead Generation with AI
    • Enhancing Lead Generation with AI introduces learners to systematic AI-enhanced lead generation processes that combine Microsoft Copilot's analytical capabilities with comprehensive quality control and human oversight. Students progress through hands-on development of scalable prospecting workflows—from basic lead identification to advanced micro-segmentation to systematic qualification—while maintaining professional standards and relationship-building focus. The module emphasizes troubleshooting and error detection as core competencies, requiring learners to identify, document, and systematically correct AI mistakes throughout all activities. This ensures they can balance AI efficiency gains with rigorous validation processes that protect sales resources while maximizing opportunity identification in real-world professional environments.
  • Advanced Techniques in Selling with AI
    • Advanced Techniques in Selling with AI focuses on advanced selling methodologies enhanced by AI tools to influence customer decisions and optimize sales communication. Learners will explore AI-assisted selling techniques, personalized communication strategies, and strategic adaptation through the use of AI insights. The module emphasizes the combination of traditional sales expertise with AI capabilities, while maintaining authentic customer relationships and strategic positioning.
  • Sales Presentations and Demonstrations
    • Sales Presentations and Demonstrations focuses on leveraging AI tools to create impactful, personalized sales presentations while maintaining authentic client relationships and professional delivery standards. Learners master systematic AI-assisted presentation development workflows that integrate CRM data analysis, Copilot content generation, and PowerPoint design optimization to create compelling business cases efficiently. The module emphasizes cross-application integration, demonstrating how to draft content in Copilot, refine it in PowerPoint, auto-insert CRM insights, and generate follow-up communications, while developing critical evaluation skills to identify AI limitations and enhance outputs with human expertise. Through practical scenarios, such as the Metro Finance case study, students learn to balance AI efficiency with strategic thinking, cultural sensitivity, and relationship expertise, ultimately creating presentations that combine technological enhancements with the authentic engagement essential for sales success in competitive enterprise environments.
  • Strategic Sales Engagement Preparations
    • Strategic Sales Engagement Preparations focuses on developing systematic approaches to comprehensive engagement preparation using AI-enhanced research and planning methodologies. Learners will master multi-source data gathering techniques, implement AI-powered analysis workflows, and create comprehensive pre-engagement packages that demonstrate a genuine understanding of prospects and strategic insight. The module emphasizes practical troubleshooting skills through hands-on scenarios where learners intentionally create and resolve Copilot workflow errors, building expertise in quality control and systematic error detection. By combining traditional research excellence with AI augmentation, learners develop the preparation disciplines that transform routine sales conversations into strategic consultations, creating competitive advantage through superior prospect understanding and authentic value proposition development that drives exceptional engagement outcomes.

Taught by

Microsoft

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