AI+ Sales™

AP-270

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 analyse, optimise, and automate sales processes
  • Growth-Oriented: Drive ethical business growth and maximise performance
 
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AI+ Sales
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Why AI Sales™? 10X AI Powered Sales Impact

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™
Included 
Instructor-led OR Self-paced course + Official exam + Digital badge
Duration 
  • Instructor-Led: 1 day (live or virtual) 
  • Self-Paced: 6 hours of content
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
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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 optimize 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. 

Job Roles & Industry Outlook 

Industry Growth: Empowering Sales Professionals with Data-Driven AI Insights

  • The global AI in sales market is expected to reach $17.5 billion by 2026, growing at a CAGR of 34.5% (Source: MarketsandMarkets).
  • Companies are adopting AI tools to enhance their sales processes, improve conversion rates, and automate lead generation.
  • AI enables sales teams to gain deep insights into customer behavior, predict preferences, and personalize offers. T
  • As AI adoption in sales grows, there is a strong demand for professionals who can manage AI-driven sales strategies.
  • AI is increasingly integrated into customer relationship management (CRM) systems, allowing for better lead scoring, personalized marketing, and data-driven sales forecasting.
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Skills You’ll Gain

  • Leveraging Sales Data with AI
  • Exploring AI Technologies for Sales
  • Integrating AI into CRM Systems
  • Applying AI for Sales Forecasting
  • Enhancing Sales Processes with AI
  • Navigating Ethical Considerations and Bias in AI Sales
  • Implementing AI-Driven Strategies for Sales Optimization

What You'll Learn

  1. Course Introduction
  1. 1.1 Fundamentals of AI
  2. 1.2 Historical Journey and Evolution of AI in Sales
  3. 1.3 AI Tools & Technologies Transforming Sales
  4. 1.4 Benefits and Challenges in Adoption of AI in Sales
  5. 1.5 Real-world Examples and Applications of AI in Sales
  6. 1.6 Future of AI in Sales
  1. 2.1 Categories of Sales Data
  2. 2.2 Techniques for Effective Data Collection
  3. 2.3 Basics 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
  1. 3.1 Introduction to Machine Learning in Sales
  2. 3.2 Predictive Analytics: Forecasting Sales Trends
  3. 3.3 NLP: Enhancing Customer Interactions
  4. 3.4 Chatbots: Automating Customer Service
  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
  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 in CRM
  8. 4.8 Gaining Actionable Insights from Data
  9. 4.9 Case Studies
  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
  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 Optimizing 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
  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 Issues in AI Advancements
  1. 8.1 Scenario-Based Exercises
  2. 8.2 Addressing Sales Challenges with AI
  3. 8.3 Collaborative AI Implementation Plans

Tools You’ll Master

Tool Salesforce Einstein

Salesforce Einstein

Tool Conversica

Conversica

Tool Uniphore

Uniphore

Prerequisites

  • Basic familiarity with sales processes and terminologies to comprehending the application of AI in sales. 
  • Fundamental proficiency in data analysis concepts to grasp the significance of data-driven decision-making in sales. 
  • Primary knowledge of CRM systems to understand the integration of AI technologies for sales optimization. 
  • Participants should have proactive interest in exploring the potential of artificial intelligence to transform sales processes and overall revenue growth. 

Exam Details

Duration

90 minutes

Passing Score

70% (35/50)

Format

50 multiple-choice/multiple-response questions

Delivery Method

Online via proctored exam platform (flexible scheduling)

Exam Blueprint:

  • Introduction to Artificial Intelligence (AI) in Sales - 13%
  • Understanding Data in Sales - 13%
  • AI Technologies for Sales - 13%
  • Implementation of AI in CRM Systems - 13%
  • Sales Forecasting with AI - 13%
  • Enhancing Sales Processes with AI - 13%
  • Ethical Considerations and Bias in AI - 13%

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

Instructor-Led (Live Virtual/Classroom)

  • 1 days of intensive training with live demos
  • Real-time Q&A, peer collaboration, and hands-on labs
  • Led by AI Certified Trainers and delivered through Authorized Training Partners
Purchase Instructor-Led Course

Self-Paced Online

  • ~6 hours of on-demand video lessons, e-book, podcasts, and interactive labs
  • Learn anywhere, anytime, with modular quizzes to track progress
Purchase Self-Paced Course

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Frequently Asked Questions

Participants gain fundamental knowledge in AI, including its historical evolution in sales, current AI tools transforming sales practices, and future AI trends. Practical workshops reinforce theoretical learning, enabling participants to implement AI-driven strategies effectively in their sales environments.

Participants will acquire skills in AI-driven sales forecasting, CRM system integration, customer segmentation, and personalized sales approaches. They will also learn to analyze sales data effectively, utilize AI tools for lead scoring and automation, and mitigate biases in AI applications for ethical sales practices.

In today's competitive market, AI is revolutionizing sales strategies. This equips participants with the expertise to stay ahead by optimizing sales processes, enhancing productivity through automation, and navigating ethical considerations associated with AI adoption in sales.

No, currently we do not provide customization options for our certification.

Graduates of the enhance their professional profiles by demonstrating proficiency in AI-driven sales strategies and ethical AI practices. They become equipped to drive business growth ethically, navigate evolving AI technologies, and capitalize on emerging trends in AI-powered sales optimization.