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    AnnouncementNew self-paced courses now available — explore our AI Certs-powered certifications and start learning at your own pace.AnnouncementNew self-paced courses now available — explore our AI Certs-powered certifications and start learning at your own pace.AnnouncementNew self-paced courses now available — explore our AI Certs-powered certifications and start learning at your own pace.
    All certifications
    AI CERTs®
    AP-270

    AI+ Sales Practitioner™

    Formerly known as AI+ Sales™ Boost Sales Success Through AI-Driven Insights

    ₹8,999

    Delivered by UpskillNexus, an AI CERTs® Authorized Training Partner.

    AI+ Sales Practitioner™ certification badge

    About this certification

    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

    What's included

    Package

    Instructor-led OR Self-paced course + Official exam + Digital badge

    Duration

    • Instructor-Led: 1 day (live or virtual)
    • Self-Paced: 8 hours of content

    Exam format

    50 questions, 70% passing, 90 minutes, online proctored exam

    Prerequisites

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

    Course modules

    Course Overview

    1. Course Introduction Preview

    Module 1: Introduction to Artificial Intelligence (AI) in Sales

    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

    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

    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

    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

    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

    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

    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

    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

    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

    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.

    Who should enrol

    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.

    Tools you'll work with

    Salesforce EinsteinSalesforce Einstein
    ConversicaConversica
    UniphoreUniphore
    AI Business
    AI Professional

    Interested in AI+ Sales Practitioner™?

    Tell us a little about yourself and our team will get back to you with pricing, schedule and next steps.