AI+ Sales Practitioner™

award_star AP-270
Formerly known as AI+ Sales™
Boost Sales Success Through AI-Driven Insights
  • Sales Transformation: Harness AI to boost sales operations, CRM integration, and forecasting
  • Hands-on Approach: Practical workshops covering AI tools and ethical sales practices
  • Data-Driven Insights: Learn to analyze, optimize, and automate sales processes
  • Growth-Oriented: Drive ethical business growth and maximize performance

 

$195.00
Signup to Enroll
AI+ Sales Practitioner™
Overview
Opportunities
Course Modules
Tools

Why This Certification Matters

Comprehensive AI Understanding

Learn core AI concepts for streamlined sales workflows, trend forecasting, and client engagement.

Predictive Sales Analytics

Learn to leverage AI for predictive modeling, forecasting sales, and enhancing decision-making.

AI-Enhanced Customer Insights

Explore AI tools to analyze behavior, automate scoring, and personalize outreach effectively.

Ethical AI Integration

Gain insights on addressing ethical concerns and establishing AI governance in sales.

At a Glance: Course + Exam Overview

Program Name
AI+ Sales Practitioner™
Included
Self-paced course + Official exam + Digital badge
Prerequisites
Basic familiarity with sales processes, proficiency in data analysis, Primary knowledge of CRM systems
Exam Format
50 questions, 70% passing, 90 minutes, online proctored exam

Who Should Enroll?

Sales Executives: Use AI to automate sales processes and enhance customer relationship management for improved sales performance.

Marketing Professionals: Integrate AI with marketing strategies to customer targeting, personalization, and engagement.

Business Development Managers: Leverage AI-driven insights to identify new business opportunities and drive growth.

Product Managers: Utilize AI to understand customer needs, optimize pricing strategies, and improve product positioning.

Consultants: Help organizations implement AI-powered sales strategies that drive profitability and operational efficiency.

AI+ Sales™

What You'll Learn

Course Overview keyboard_arrow_down
  1. Course Introduction Preview
Module 1: Introduction to Artificial Intelligence (AI) in Sales keyboard_arrow_down
  1. 1.1 Fundamentals of AI 
  2. 1.2 Generative AI and Modern Evolution of AI in Sales 
  3. 1.3 AI Tools and Technologies that Transform Sales 
  4. 1.4 Benefits and Challenges in the Adoption of AI in Sales
  5. 1.5 Real-world Examples and Applications of AI in Sales 
  6.  1.6 The Future of AI in Sales 
Module 2: Understanding Data in Sales keyboard_arrow_down
  1. 2.1 Categories of Sales Data 
  2. 2.2 Techniques for Effective Data Collection 
  3. 2.3 Basic Concepts of Data Analysis and Interpretation 
  4. 2.4 Data Management Methods 
  5. 2.5 Data Protection Principles 
  6. 2.6 Data Integration in CRM Systems 
  7. 2.7 Overview of Analytical Tools 
  8. 2.8 Ethical Use of Sales Data 
  9. 2.9 Case Studies: Real-World Data Applications
Module 3: AI Technologies for Sales keyboard_arrow_down
  1. 3.1 Introduction to Machine Learning in Sales 
  2. 3.2 Predictive Analytics: Sales Trend Forecasting 
  3. 3.3 NLP for Enhancing Customer Interactions 
  4. 3.4 Chatbots: Customer Service Automation 
  5. 3.5 Segmentation: Tailoring Customer Experiences 
  6. 3.6 Personalization: Customizing Sales Approaches 
  7. 3.7 Recommendation Engines: Driving Product Suggestions 
  8. 3.8 Sales Automation: Streamlining Sales Processes 
  9. 3.9 Performance Analysis: Measuring Sales Effectiveness 
  10. 3.10 Modern AI Sales Stack: Generative AI, Copilots, and Intelligent Workflows
Module 4: Implementation of AI in CRM Systems keyboard_arrow_down
  1. 4.1 Foundation of CRM Systems 
  2. 4.2 AI Integration into CRM Systems 
  3. 4.3 Lead Scoring 
  4. 4.4 Customer Insights 
  5. 4.5 Sales Automation 
  6. 4.6 Personalized Communication 
  7. 4.7 Chatbots and CRM 
  8. 4.8 Gaining Actionable Insights from Data 
  9. 4.9 Case Studies 
  10. 4.10 Modern AI CRM Stack: Tools, Integrations, and Execution Layer
Module 5: Sales Forecasting with AI keyboard_arrow_down
  1. 5.1 Introduction to Sales Forecasting 
  2. 5.2 Overview of Predictive Models in Forecasting 
  3. 5.3 Data Preparation for Analysis 
  4. 5.4 Identifying Sales Patterns and Trends  
  5. 5.5 Enhancing Forecast Reliability 
  6. 5.6 Key Forecasting AI Tools in AI 
  7. 5.7 Utilizing Real-time Data for Forecasts 
  8. 5.8 Developing Forecasts for Different Outcomes 
  9. 5.9 Measuring the Success of Sales Forecasts 
  10. 5.10 Case Study – How SaaS Companies Forecast Revenue Using AI
Module 6: Enhancing Sales Processes with AI keyboard_arrow_down
  1. 6.1 Task Automation 
  2. 6.2 AI-driven Email Marketing 
  3. 6.3 Social Media with AI Analytics 
  4. 6.4 AI-Powered Lead Generation 
  5. 6.5 Customer Segmentation 
  6. 6.6 Optimization of Sales Visits and Calls 
  7. 6.7 Tailoring Content with AI Insights 
  8. 6.8 Real-Time Sales Activity Monitoring 
  9. 6.9 Upselling and Cross-selling with AI
Module 7: Ethical Considerations and Bias in AI keyboard_arrow_down
  1. 7.1 Ethical Use of AI in Sales 
  2. 7.2 Bias Identification in AI Systems 
  3. 7.3 Bias Mitigation 
  4. 7.4 Transparency in AI Decision Making 
  5. 7.5 Accountability for AI Actions 
  6. 7.6 Safeguarding Customer Data 
  7. 7.7 Regulatory Compliance 
  8. 7.8 Building Customer Trust through Ethical AI 
  9. 7.9 Anticipating Ethical Problems in AI Advancements
Module 8: Practical Workshop keyboard_arrow_down
  1. 8.1 Scenario-Based Exercises 
  2. 8.2 Addressing Sales Challenges with AI 
  3. 8.3 Collaborative AI Implementation Plans 
  4. 8.4 Hands-On Workshop: AI-Powered Sales Execution using HubSpot CRM
Optional Module: Introduction to AI Agents for Sales keyboard_arrow_down
  1. 1. What are AI Agents
  2. 2. Types of AI Agents
  3. 3. Applications and Trend of AI Agents in Sales
  4. 4. Case studies
  5. 5. Hands-on

Tools You'll Explore

Salesforce Einstein Salesforce Einstein
Conversica Conversica
Uniphore Uniphore

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