AI+ Sales™ Boost Sales Success Through AI-Driven Insights

Looking for an AI sales certification India that leads to a recognised credential and delivers practical, on-the-job impact? AI+ Sales™ is an applied AI for sales course India that helps you use data, automation, and personalization to improve pipeline execution and customer engagement. As you progress, the program strengthens your capability through AI-enabled sales training, including lead scoring, segmentation, and responsible AI decisioning.

In addition, you learn how to implement AI CRM and sales automation to streamline workflows and improve follow-up consistency. Finally, you build confidence in sales forecasting with AI by understanding data preparation, model selection, and evaluation—so your planning becomes more accurate and action-oriented.

What you will get

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

Why AI Sales™? 10X AI Powered Sales Impact

AI for Sales Mastery
Understand core AI concepts to streamline workflows and improve client engagement.
Predictive Analytics
Use AI to forecast trends, model sales outcomes, and support smarter decisions.
Customer Intelligence
Leverage AI to analyze behavior, score leads, and personalize outreach at scale.
Ethical Sales Automation
Learn how to integrate AI responsibly with a focus on ethics and governance.

Who Should Enroll?

Sales Executives
Automate sales workflows and strengthen CRM strategies to boost performance.
Marketing Professionals
Apply AI to enhance targeting, personalization, and customer engagement.
Business Development Managers
Use AI insights to uncover opportunities and accelerate growth.
Product Managers
Leverage AI for pricing, positioning, and customer-driven innovation.
Consultants
Guide clients in adopting AI-powered sales strategies for better results.

Salesforce Einstein
Conversica
Uniphore

Prerequisites

Basic understanding of sales processes and terminology
Familiarity with data analysis concepts and their role in sales decisions
Foundational knowledge of CRM systems and sales tools
Interest in exploring how AI can transform sales and drive revenue growth

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%

Frequently Asked Questions

How does this certification prepare participants for AI adoption in sales roles
It equips sales professionals with the knowledge to integrate AI into sales strategies, improve forecasting, automate processes, and enhance customer engagement.

What practical skills will participants acquire from this certification
Participants will learn to apply AI tools in CRM, lead scoring, sales automation, trend analysis, and ethical sales practices through real-world case studies and hands-on exercises.

How relevant is the AI+ Sales Certification in today's competitive business landscape
This certification addresses the growing demand for AI-skilled sales professionals who can drive performance and stay ahead in data-driven markets.

Can the AI+ Sales Certification be customized for corporate teams
Yes. AI Certs offers scalable and customizable training options tailored to the unique goals and challenges of corporate sales teams.

What are the career benefits of completing the AI+ Sales Certification
Certified professionals gain a competitive edge, improved decision-making capabilities, and the skills to lead AI-powered sales transformations in their organizations.

Detailed Course Outline 🡇 Download

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AI+ Sales™ All you need to know about this course

AI+ Sales™ is a role-based certification designed for sales professionals and leaders who want to apply Artificial Intelligence to modern selling. It builds practical capability across AI fundamentals, sales data, AI technologies, CRM integration, forecasting, and process improvement. In addition, it includes hands-on workshop learning, so you can automate routine work, personalize customer interactions, and improve sales decision-making with responsible AI.

What is AI+ Sales™ Certification?

AI+ Sales™ Certification develops a structured, job-relevant foundation in AI for sales strategy and execution. It teaches you how to interpret and use sales data, apply AI technologies tailored for sales, integrate AI into CRM systems, and leverage forecasting to support planning and growth. Moreover, it emphasizes ethical AI adoption by addressing fairness, transparency, and bias mitigation in AI-driven sales decisions.

What you’ll be able to do after the program

Explain core AI concepts and how they support modern sales operations.
Use sales data effectively by collecting, managing, analyzing, and interpreting it for better decisions.
Apply AI technologies for sales, including ML, NLP, predictive analytics, segmentation, and recommendation engines.
Implement AI capabilities within CRM systems to improve lead management, personalization, and operational efficiency.
Build stronger sales forecasts using AI models, performance metrics, and continuous error analysis.
Improve sales execution through automation, AI-driven email marketing personalization, social insights, and lead generation workflows.
Apply ethical practices by identifying bias, strengthening transparency, and ensuring accountable AI use in sales.

Who should enroll in AI+ Sales™?

AI+ Sales™ is ideal for professionals who want to modernize selling with AI while maintaining responsible practices.

Recommended for

Sales professionals and consultants who want to optimize and streamline sales processes with AI
Business development managers who want to build individualized strategies with AI tools
Entrepreneurs and startup founders who want AI-driven insights for stronger decisions and innovation
Financial analysts who want AI techniques to extract actionable insights from sales data
Marketing and supply chain professionals who want personalization and demand alignment using AI

Prerequisites

Awareness of sales processes and common sales terminology
Interest in AI technologies and their use in sales and revenue growth
Openness to creative approaches for ideas, experimentation, and AI tool usage

Skills you will gain (AI+ Sales™)

By the end of the certification, you will be able to combine AI capabilities with modern sales execution to drive smarter, faster, and more consistent outcomes.

AI fundamentals for sales performance

Understanding of AI fundamentals, historical context, evolution, and implications for sales
Practical awareness of how AI supports automation, scalability, adaptability, and decision-making in sales

Data literacy for selling

Sales data types, collection methods, privacy-aware practices, and ethical handling
Data interpretation using descriptive and inferential techniques for decision-making and planning
Data management methods (relational databases, NoSQL, warehouses, and cloud storage)

AI technologies and tools for sales

Machine learning and predictive analytics for behavior prediction and trend forecasting
NLP and chatbots for engagement, segmentation, and personalization
Recommendation engines and sales automation tools for product suggestions and process improvement

CRM enablement

AI in CRM for lead scoring, personalization, improved marketing efficiency, and analytics
Implementation awareness: data quality, privacy, user adoption, integration complexity, and skills development

Ethical selling with AI

Practical frameworks for fairness, transparency, accountability, and stakeholder well-being
Approaches to identify and mitigate bias in AI-driven sales systems

What does the AI+ Sales™ course cover?

1: Introduction to AI in Sales

AI fundamentals applied to sales, including adaptability, automation, scalability, and decision support
Core AI components used in sales: ML, NLP, computer vision, and robotics
Practical tools such as predictive analytics and sales forecasting concepts
Real-world case studies showing personalization, automation efficiency, and strategic decision-making

2: Understanding Data in Sales

Types of sales data and effective data collection techniques
Privacy and ethics: consent, confidentiality, and compliant handling
Data analysis and interpretation for insights and strategy planning
Data management approaches: relational databases, NoSQL, data warehouses, and cloud storage
CRM integration and analytical tools for forecasting, segmentation, and sentiment analysis

3: AI Technologies for Sales

ML for predicting customer behavior and optimizing sales performance
Predictive analytics: data collection, model creation, and trend forecasting
NLP and chatbots for engagement and service support
Segmentation and personalization strategies for targeted messaging
Recommendation engines and sales automation tools for improved outcomes

4: AI Implementation in CRM Systems

CRM fundamentals and why AI improves customer interactions
Lead management enhancements: scoring, prioritization, and automation
Customer insights for personalization and improved marketing efficiency
Adoption considerations: data quality, privacy, integration complexity, skills, and user adoption
Case studies showing operational and satisfaction improvements

5: Sales Forecasting with AI

Forecasting foundations and how forecasts guide strategy
AI forecasting models: linear regression, time series analysis, neural networks, and ensemble methods
Data preparation techniques and pattern identification
Forecast evaluation: performance metrics, bias checks, and error analysis
Scenario planning and continuous monitoring for improved accuracy

6: Sales Process Enhancement with AI

Automation of sales tasks and workflow optimization
Personalization for email marketing using AI-driven insights
Social media analysis for sales intelligence
Automated lead generation and customer segmentation
Sales visit optimization and content tailoring using predictive analytics and real-time monitoring

7: Ethics and Bias in AI

Ethical principles: fairness, transparency, accountability, and human oversight
Understanding how bias appears in AI systems and how it affects decisions
Strategies to identify and mitigate bias
Building trust through transparency in AI-driven decision-making

8: Practical Workshop

Scenario-based exercises applying AI to real sales challenges
Lead generation and forecasting simulations using AI approaches
Customer engagement improvement through automation and personalized interactions
Collaborative AI implementation strategies to improve teamwork, communication, and adoption

Learning outcomes by role

Sales teams and consultants
Streamline sales execution with automation, smarter lead handling, and personalized engagement
Business development and leadership
Improve strategy using forecasting, analytics, and AI-driven segmentation
Cross-functional teams (marketing, supply chain, analytics)
Use AI insights to align messaging, improve targeting, and respond faster to demand signals

Real projects you’ll do

AI+ Sales™ includes hands-on, scenario-based learning. As a result, typical applied work includes:

Sales simulations using AI tools to improve decision-making and problem-solving
Workflow automation exercises for lead handling, outreach, and prioritization
Forecasting and trend analysis practice using AI models and evaluation metrics
Ethical review exercises focused on bias identification and mitigation in sales outcomes

Why learn AI for sales now?

AI is reshaping sales by enabling personalization, stronger forecasting, smarter automation, improved CRM effectiveness, and data-driven decision-making. Therefore, teams that combine AI literacy with practical workflows can improve execution while maintaining trust and responsible practices.

Certification value and career outcomes

AI+ Sales™ helps professionals become more effective in an AI-powered sales environment by strengthening practical skills in data handling, CRM enablement, forecasting, automation, and ethical decision-making. Moreover, it builds a transferable foundation that supports AI adoption across revenue operations and customer-facing functions.

AI in Sales integration checklist

Use this checklist to structure adoption inside sales operations:

Assess needs and set goals
Prepare data
Select the right AI tools and technologies
Train the team
Establish pilot projects
Scale up gradually
Analyze and optimize
Use AI ethically

Tools and technologies you’ll work with

Machine learning and predictive analytics for performance optimization
NLP and chatbots for engagement and customer interactions
Recommendation engines for product and next-best-action suggestions
AI-enabled CRM capabilities for lead scoring, personalization, and analytics
Data management approaches for reliable insights and operational readiness

Use cases in sales

Lead scoring and prioritization with predictive models
Customer segmentation and targeted messaging
CRM workflow optimization and real-time customer insight updates
Sales forecasting and scenario planning
Automated outreach, personalization, and content tailoring
Compliance-aware data handling and ethical decisioning

Why Seven People Systems Pvt. Ltd.

Choosing the right training partner matters because it determines practice quality, learning support, and exam readiness. If you take AI+ Sales™ through Seven People Systems Pvt. Ltd., position the value around outcomes that map directly to the curriculum:
Structured learning that follows the module sequence: AI in sales, data foundations, technologies, CRM, forecasting, process enhancement, ethics, and workshop practice
Hands-on support for applying AI to real sales scenarios: lead scoring, personalization, forecasting, and workflow automation
Reinforcement of responsible AI in selling through bias awareness, transparency, and accountable decisioning
Guidance that helps teams move from concepts to adoption: tool selection, pilots, training, optimization, and ethical use