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Creating a Sales Playbook with Generative AI

Create an AI-powered sales playbook for content, forecasting, leads, KPIs, and optimization.

Все уровни • 11 Лекции • Пожизненный доступ
Dr. Amar Massoud

Проверенный мастер-инструктор

Creating a Sales Playbook with Generative AI
ТРЕЙЛЕР
Meet your instructor: Dr. Amar Massoud

19 ms

5.0 / 5.0
Глобальный рейтинг
1
Активные студенты
Американский английский
Субтитры на 99 языках
1 ч 16 мин
Общий контент

Чему вы научитесь

Understand the purpose and essential components of a modern sales playbook.
Compare traditional sales playbooks with AI-enhanced approaches.
Define clear sales objectives and measurable KPIs.
Prepare relevant sales and customer data for AI-supported analysis.

Содержание курса

5 разделов • 11 лекций • 01:16:42 общая длина

Introduction

03:53

Overview of Traditional Sales Playbooks

05:45

Generative AI Basics

08:31

Setting Objectives and KPIs

11:35

Data Preparation for AI

07:52

Designing the Sales Playbook

07:53

Generative AI in Content Creation

07:19

AI-Driven Forecasting and Lead Management

07:10
Недельный план обучения
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Требования

No previous Generative AI experience is required.

Basic knowledge of sales processes is helpful but not mandatory.

Access to a Generative AI tool is recommended for practical activities.

Basic access to sales, lead, or customer data may support the exercises.

Целевая аудитория

Sales professionals seeking to improve performance with Generative AI.

Sales managers building standardized processes for their teams.

Team leaders responsible for sales training and performance.

Business development professionals managing leads and opportunities.

Об этом курсе

Modern sales teams need more than static documents and generic scripts. They require a structured sales playbook that adapts to changing customer expectations, supports personalized engagement, and improves continuously through reliable data. This course provides a practical framework for creating and implementing a complete sales playbook enhanced by Generative AI.

You will begin by understanding the role of a sales playbook and examining the limitations of traditional approaches. The course then introduces the fundamentals of Generative AI and explains how AI can support sales planning, content creation, forecasting, lead management, training, and performance improvement.

You will learn how to define clear sales objectives and select relevant key performance indicators. These objectives and KPIs provide the foundation for measuring sales activity, conversion performance, pipeline progress, lead quality, and overall playbook effectiveness.

The course explains how to collect, organize, and prepare sales data for AI-supported analysis. You will explore how reliable customer, lead, campaign, and historical sales data can improve forecasting, prioritization, personalization, and decision-making.

You will then design the structure of your sales playbook based on team requirements, customer journeys, sales stages, communication channels, and business goals. Generative AI will be used to support the creation of personalized emails, outreach messages, sales scripts, pitches, templates, training resources, and follow-up content.

A dedicated section covers AI-driven forecasting and lead management. You will learn how AI-supported insights can help sales teams identify promising leads, prioritize follow-up activities, anticipate future performance, and improve conversion opportunities.

The course also addresses implementation and continuous training. You will learn how to introduce the playbook to the sales team, communicate expectations, provide relevant training, gather feedback, and encourage consistent adoption.

Finally, you will learn how to monitor results and optimize the playbook using KPIs, sales data, team feedback, and AI-generated insights. By completing the course, you will be prepared to build a structured, customizable, and continuously improving AI-powered sales playbook aligned with your organization’s goals.

Карьерные возможности и целевые профессии

Освойте практические навыки для работы и претендуйте на востребованные международные должности

Программа для карьеры
Профессии, на которые вы можете претендовать

AI Solutions Engineer

Data Science Consultant

Machine Learning Practitioner

AI Workflow & Automation Specialist

Ориентировочная годовая зарплата
$105,000 – $165,000 / yr
Спрос на мировом рынке

Fastest Growing Worldwide (#1)

Ключевые практические навыки
Model Fine-Tuning & Evaluation
Data Pipelines & Vector Analysis
Applied Generative AI Architecture
Predictive Analytics & Deployment
* Оценки основаны на глобальных отчетах о компенсациях в технологической отрасли.
Познакомьтесь с преподавателем
Dr. Amar Massoud
5.0 Рейтинг
5 Студенты
Посмотреть профиль
Dr. Amar Massoud
Главный инструктор
PhD in computer science and IT manager with 36 years technical experience in various fields including IT Security, IT Governance, IT Service Management , Software Development, Project Management, Business Analysis and Software Architecture. I hold 80+ IT certifications such as : ITIL 4 Master, ITIL 3 Expert ISO 27001 Auditor, ComptIA Security+, GSEC, CEH, ECSA, CISM, CISSP, CISA PGMP, MSP PMP, PMI-ACP, Prince2 Practitioner, Praxis, Scrum Master COBIT 2019 Implementor, COBIT 5 Assessor/Implementer TOGAF certified Lean Specialist, VSM Specialist PMI RMP, ISO 31000 Risk Manager, ISO 22301 Lead Auditor PMI-PBA, CBAP Lean Six Sigma Black Belt, ISO 9001 Implementer Azure Administrator, Azure DevOps Expert, AWS Practitioner And many more....

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