AI+ Sales™
Instructor
Falandile Ntshangase
Course details
Lectures
:
67
- Description
- FAQ
- Reviews
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: 8 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
Projects & case studies
Outcome
Industry-recognized credential + hands-on experience
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.
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 AI – 13%
- Practical Workshop – 9%
How does this certificate prepare participants for AI adoption in sales roles?
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.
What practicals skills will participants acquire from this certification?
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.
How relevent is the AI+Sales Certification in today's competitive business landscape?
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.
Can AI+Sales Certification be customized for corporate teams?
No, currently we do not provide customization options for our certification.
What are the career benefits of completing the AI+Sales 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.
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Course Overview
Module 1: Introduction to Artificial Intelligence (AI) in Sales
Module 2: Understanding Data in Sales
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8
2.1 Categories of Sales Data -
9
2.2 Techniques for Effective Data Collection
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10
2.3 Basics of Data Analysis and Interpretation
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11
2.4 Data Management Methods
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12
2.5 Data Protection Principles
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13
2.6 Data Integration in CRM Systems
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14
2.7 Overview of Analytical Tools
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15
2.8 Ethical Use of Sales Data
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16
2.9 Case Studies: Real-World Data Applications
Module 3: AI Technologies for Sales
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17
3.1 Introduction to Machine Learning in Sales
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18
3.2 Predictive Analytics: Forecasting Sales Trends
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19
3.3 NLP: Enhancing Customer Interactions
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20
3.4 Chatbots: Automating Customer Service
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21
3.5 Segmentation: Tailoring Customer Experiences
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22
3.6 Personalization: Customizing Sales Approaches
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23
3.7 Recommendation Engines: Driving Product Suggestions
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24
3.8 Sales Automation: Streamlining Sales Processes
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25
3.9 Performance Analysis: Measuring Sales Effectiveness
Module 4: Implementation of AI in CRM Systems
Module 5: Sales Forecasting with AI
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35
5.1 Introduction to Sales Forecasting5.1 Introduction to Sales Forecasting5.1 Introduction to Sales Forecasting5.1 Introduction to Sales Forecasting
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36
5.2 Overview of Predictive Models in Forecasting
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37
5.3 Data Preparation for Analysis
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38
5.4 Identifying Sales Patterns and Trends
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39
5.5 Enhancing Forecast Reliability
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40
5.6 Key Forecasting AI Tools in AI
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41
5.7 Utilizing Real-time Data for Forecasts
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42
5.8 Developing Forecasts for Different Outcomes
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43
5.9 Measuring the Success of Sales Forecasts
Module 6: Enhancing Sales Processes with AI
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44
6.1 Task Automation
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45
6.2 AI-driven Email Marketing
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46
6.3 Social Media with AI Analytics
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47
6.4 AI-powered Lead Generation
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48
6.5 Customer Segmentation
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49
6.6 Optimizing Sales Visits and Calls
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50
6.7 Tailoring Content with AI Insights
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51
6.8 Real-time Sales Activity Monitoring
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52
6.9 Upselling and Cross-selling with AI
Module 7: Ethical Consideration and Bias AI
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53
7.1 Ethical Use of AI in Sales
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54
7.2 Bias Identification in AI Systems
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55
7.3 Bias Mitigation
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56
7.4 Transparency in AI Decision-Making
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57
7.5 Accountability for AI Actions
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58
7.6 Safeguarding Customer Data
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59
7.7 Regulatory Compliance
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60
7.8 Building Customer Trust through Ethical AI
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61
7.9 Anticipating Ethical Issues in AI Advancements
Module 8: Practical Workshop
Optional Module: AI Agent for Sales