CLS
Business Management

AI+ Sales Practitioner

AI+ Sales Practitioner equips sales and business professionals with practical skills to use Artificial Intelligence across modern sales operations.

Total Duration
8 Hours
Category
Business Management
Partner
AI CERTs
About this course

About this course

The course covers sales data, predictive analytics, AI-powered customer insights, CRM integration, forecasting, sales automation, personalization, and ethical AI. Through projects, case studies, and a hands-on workshop using HubSpot CRM, learners build practical capabilities to optimize sales performance, improve customer engagement, and support data-driven growth.

Target Audience

Sales Executives who want to automate sales processes and enhance customer relationship management.
Marketing Professionals who want to integrate AI into customer targeting, personalization, and engagement.
Business Development Managers who want to use AI-driven insights to identify opportunities and drive growth.
Product Managers who want to use AI to understand customer needs, optimize pricing, and improve product positioning.
Consultants who want to help organizations implement AI-powered sales strategies for profitability and operational efficiency.

Prerequisites

Basic Sales Knowledge: Understanding of sales processes and strategies.
Analytical Thinking: Ability to interpret data and trends.

Course Outline

  • Fundamentals of AI
  • Generative AI and Modern Evolution of AI in Sales
  • AI Tools and Technologies that Transform Sales
  • Benefits and Challenges in the Adoption of AI in Sales
  • Real-world Examples and Applications of AI in Sales
  • The Future of AI in Sales
  • Categories of Sales Data
  • Techniques for Effective Data Collection
  • Basic Concepts of Data Analysis and Interpretation
  • Data Management Methods
  • Data Protection Principles
  • Data Integration in CRM Systems
  • Overview of Analytical Tools
  • Ethical Use of Sales Data
  • Case Studies: Real-World Data Applications
  • Introduction to Machine Learning in Sales
  • Predictive Analytics: Sales Trend Forecasting
  • NLP for Enhancing Customer Interactions
  • Chatbots: Customer Service Automation
  • Segmentation: Tailoring Customer Experiences
  • Personalization: Customizing Sales Approaches
  • Recommendation Engines: Driving Product Suggestions
  • Sales Automation: Streamlining Sales Processes
  • Performance Analysis: Measuring Sales Effectiveness
  • Modern AI Sales Stack: Generative AI, Copilots, and Intelligent Workflows
  • Foundation of CRM Systems
  • AI Integration into CRM Systems
  • Lead Scoring
  • Customer Insights
  • Sales Automation
  • Personalized Communication
  • Chatbots and CRM
  • Gaining Actionable Insights from Data
  • Case Studies
  • Modern AI CRM Stack: Tools, Integrations, and Execution Layer
  • Introduction to Sales Forecasting
  • Overview of Predictive Models in Forecasting
  • Data Preparation for Analysis
  • Identifying Sales Patterns and Trends
  • Enhancing Forecast Reliability
  • Key Forecasting AI Tools in AI
  • Utilizing Real-time Data for Forecasts
  • Developing Forecasts for Different Outcomes
  • Measuring the Success of Sales Forecasts
  • Case Study – How SaaS Companies Forecast Revenue Using AI
  • Task Automation
  • AI-driven Email Marketing
  • Social Media with AI Analytics
  • AI-Powered Lead Generation
  • Customer Segmentation
  • Optimization of Sales Visits and Calls
  • Tailoring Content with AI Insights
  • Real-Time Sales Activity Monitoring
  • Upselling and Cross-selling with AI
  • Ethical Use of AI in Sales
  • Bias Identification in AI Systems
  • Bias Mitigation
  • Transparency in AI Decision Making
  • Accountability for AI Actions
  • Safeguarding Customer Data
  • Regulatory Compliance
  • Building Customer Trust through Ethical AI
  • Anticipating Ethical Problems in AI Advancements
  • Scenario-Based Exercises
  • Addressing Sales Challenges with AI
  • Collaborative AI Implementation Plans
  • Hands-On Workshop: AI-Powered Sales Execution using HubSpot CRM
Learning outcomes

What you'll learn

Explain core AI concepts and their relevance to modern sales operations.
Collect, manage, analyze, and ethically use sales data to generate actionable insights.
Apply machine learning, predictive analytics, NLP, chatbots, segmentation, personalization, and recommendation engines to sales.
Integrate AI capabilities into CRM systems to improve lead scoring, customer insights, communication, and sales automation.
Develop and evaluate AI-supported sales forecasts using historical and real-time data.
Automate and optimize sales activities including lead generation, email marketing, sales calls, upselling, and cross-selling.
Apply ethical AI principles covering bias, transparency, accountability, data protection, and regulatory compliance.
Develop practical AI implementation plans and apply AI-powered sales execution through a hands-on HubSpot CRM workshop.

Skills you'll learn

7 skills
Sales Data with AI
AI Technologies for Sales
Integrating AI into CRM
Applying AI for Sales
Sales Processes with AI
Navigating Ethical in AI Sales
AI-Driven Strategies for Sales

Certificate

  • Attendance Certificate from CLS Learning Solutions


AI+ Sales Practitioner

Potential Career Paths

Sales Specialist
Sales Manager
Sales Analytics Expert
Business Development Strategist