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
Instructor-led OR 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
Delivery
Online labs, projects, case studies
Outcome
Industry-recognized credential + hands-on experience
Who Should Enroll?

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.

What You'll Learn

  • 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

  • Course Introduction Preview

  • 1.1 Fundamentals of AI
  • 1.2 Generative AI and Modern Evolution of AI in Sales
  • 1.3 AI Tools and Technologies that Transform Sales
  • 1.4 Benefits and Challenges in the Adoption of AI in Sales
  • 1.5 Real-world Examples and Applications of AI in Sales
  • 1.6 The Future of AI in Sales

  • 2.1 Categories of Sales Data
  • 2.2 Techniques for Effective Data Collection
  • 2.3 Basic Concepts of Data Analysis and Interpretation
  • 2.4 Data Management Methods
  • 2.5 Data Protection Principles
  • 2.6 Data Integration in CRM Systems
  • 2.7 Overview of Analytical Tools
  • 2.8 Ethical Use of Sales Data
  • 2.9 Case Studies: Real-World Data Applications

  • 3.1 Introduction to Machine Learning in Sales
  • 3.2 Predictive Analytics: Sales Trend Forecasting
  • 3.3 NLP for Enhancing Customer Interactions
  • 3.4 Chatbots: Customer Service Automation
  • 3.5 Segmentation: Tailoring Customer Experiences
  • 3.6 Personalization: Customizing Sales Approaches
  • 3.7 Recommendation Engines: Driving Product Suggestions
  • 3.8 Sales Automation: Streamlining Sales Processes
  • 3.9 Performance Analysis: Measuring Sales Effectiveness
  • 3.10 Modern AI Sales Stack: Generative AI, Copilots, and Intelligent Workflows

  • 4.1 Foundation of CRM Systems
  • 4.2 AI Integration into CRM Systems
  • 4.3 Lead Scoring
  • 4.4 Customer Insights
  • 4.5 Sales Automation
  • 4.6 Personalized Communication
  • 4.7 Chatbots and CRM
  • 4.8 Gaining Actionable Insights from Data
  • 4.9 Case Studies
  • 4.10 Modern AI CRM Stack: Tools, Integrations, and Execution Layer

  • 5.1 Introduction to Sales Forecasting
  • 5.2 Overview of Predictive Models in Forecasting
  • 5.3 Data Preparation for Analysis
  • 5.4 Identifying Sales Patterns and Trends
  • 5.5 Enhancing Forecast Reliability
  • 5.6 Key Forecasting AI Tools in AI
  • 5.7 Utilizing Real-time Data for Forecasts
  • 5.8 Developing Forecasts for Different Outcomes
  • 5.9 Measuring the Success of Sales Forecasts
  • 5.10 Case Study – How SaaS Companies Forecast Revenue Using AI

  • 6.1 Task Automation
  • 6.2 AI-driven Email Marketing
  • 6.3 Social Media with AI Analytics
  • 6.4 AI-Powered Lead Generation
  • 6.5 Customer Segmentation
  • 6.6 Optimization of Sales Visits and Calls
  • 6.7 Tailoring Content with AI Insights
  • 6.8 Real-Time Sales Activity Monitoring
  • 6.9 Upselling and Cross-selling with AI

  • 7.1 Ethical Use of AI in Sales
  • 7.2 Bias Identification in AI Systems
  • 7.3 Bias Mitigation
  • 7.4 Transparency in AI Decision Making
  • 7.5 Accountability for AI Actions
  • 7.6 Safeguarding Customer Data
  • 7.7 Regulatory Compliance
  • 7.8 Building Customer Trust through Ethical AI
  • 7.9 Anticipating Ethical Problems in AI Advancements

  • 8.1 Scenario-Based Exercises
  • 8.2 Addressing Sales Challenges with AI
  • 8.3 Collaborative AI Implementation Plans
  • 8.4 Hands-On Workshop: AI-Powered Sales Execution using HubSpot CRM

  • 1. What are AI Agents
  • 2. Types of AI Agents
  • 3. Applications and Trend of AI Agents in Sales
  • 4. Case studies
  • 5. Hands-on

Tools You'll Master

Salesforce Einstein
Conversica
Uniphore

Prerequisites

  • Basic familiarity with sales processes, proficiency in data analysis, Primary knowledge of CRM systems

Exam Details

Duration

90 minutes

Passing Score

70%

Format

50 questions

Delivery Method

online proctored exam

Choose the Format That Fits Your Schedule

What's Included (One-Year Subscription + All Updates):

  • High-Quality Videos, E-book (PDF & Audio), and Podcasts
  • AI Mentor for Personalized Guidance
  • Quizzes, Assessments, and Course Resources
  • Online Proctored Exam with One Free Retake
  • Comprehensive Exam Study Guide
  • Access for Tablet & Phone
Instructor-Led (Live Virtual/Classroom)
  • 1 day (live or virtual) Self-Paced: 8 hours of content
  • Real-time Q&A, peer collaboration, and hands-on labs
  • Led by AI Certified Trainers and delivered through Authorized Training Partners
Self-Paced Online
  • 8 hours of content
  • Learn anywhere, anytime, with modular quizzes to track progress

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