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AI+ Sales (AF-701)

This three-day certification gives sales teams and leaders a complete roadmap for using AI in the sales cycle. You’ll learn how to use AI for lead generation, forecasting, customer personalization, and CRM automation.

Designed for sales professionals, consultants, and business owners, this course provides practical tools and real examples to help you improve revenue, speed, and targeting.

Overview

Overview

AI is changing how sales gets done. From smarter lead scoring to personalized content and accurate forecasting, this course helps you make sense of it all.

You’ll explore key AI tools, understand sales data, and learn how to bring AI into your CRM. Each module gives you practical frameworks, ethical insights, and hands-on tools you can use right away.

Prerequisites
  • Understanding of basic sales terms and workflows

  • Interest in AI and how it can improve performance

  • No technical background required

Target Audience
  • Sales professionals and consultants

  • Business development and revenue leaders

  • Founders and marketing heads

  • Analysts working on sales strategy and reporting

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%
FAQs

1. Can the course be taken online?
Yes. The course is available as a virtual instructor-led session with live teaching and hands-on labs.

2. Is in-person training available?
Yes. In-person sessions can be arranged at certified training centers or as private sessions for institutions or corporate teams.

3. Will I receive official course materials?
Yes. All participants receive electronic access to course materials. Printed versions are available upon request.

4. Is there a certificate of completion?
Yes. Upon successful completion of the course, participants will be awarded an AI CERTs official certificate.

Course Outline

Course Overview

  • Course Introduction

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

  • Fundamentals of AI

  • Historical Journey and Evolution of AI in Sales

  • AI Tools & Technologies Transforming Sales

  • Benefits and Challenges in Adoption of AI in Sales

  • Real-world Examples and Applications of AI in Sales

  • Future of AI in Sales

Module 2: Understanding Data in Sales

  • Categories of Sales Data

  • Techniques for Effective Data Collection

  • Basics 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

Module 3: AI Technologies for Sales

  • Introduction to Machine Learning in Sales

  • Predictive Analytics: Forecasting Sales Trends

  • NLP: Enhancing Customer Interactions

  • Chatbots: Automating Customer Service

  • Segmentation: Tailoring Customer Experiences

  • Personalization: Customizing Sales Approaches

  • Recommendation Engines: Driving Product Suggestions

  • Sales Automation: Streamlining Sales Processes

  • Performance Analysis: Measuring Sales Effectiveness

Module 4: Implementation of AI in CRM Systems

  • Foundation of CRM Systems

  • AI Integration into CRM Systems

  • Lead Scoring

  • Customer Insights

  • Sales Automation

  • Personalized Communication

  • Chatbots in CRM

  • Gaining Actionable Insights from Data

  • Case Studies

Module 5: Sales Forecasting with AI

  • 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

  • Utilizing Real-time Data for Forecasts

  • Developing Forecasts for Different Outcomes

  • Measuring the Success of Sales Forecasts

Module 6: Enhancing Sales Processes with AI

  • Task Automation

  • AI-driven Email Marketing

  • Social Media with AI Analytics

  • AI-powered Lead Generation

  • Customer Segmentation

  • Optimizing Sales Visits and Calls

  • Tailoring Content with AI Insights

  • Real-time Sales Activity Monitoring

  • Upselling and Cross-selling with AI

Module 7: Ethical Considerations and Bias in 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 Issues in AI Advancements

Module 8: Practical Workshop

  • Scenario-Based Exercises

  • Addressing Sales Challenges with AI

  • Collaborative AI Implementation Plans

Optional Module: AI Agents for Sales

  • What Are AI Agents

  • Types of AI Agents

  • Applications and Trends of AI Agents in Sales

Note : A representative from Datacipher will contact you with further details
Payment Methods

At DataCipher, we offer a variety of payment options for our Fortinet courses. Here are the methods available:

Purchase Order (PO) – If your organization prefers using a purchase order, begin the registration process by clicking the Register button. At the conclusion of the registration form, choose the option “My company will pay for it, please send an invoice with the payment details.” Our training team will then provide an official quote and any necessary additional information that your accounts department might need to issue the PO.

Bank Transfer – DataCipher maintains bank accounts in both the US and Europe, accommodating all standard bank transfer methods such as IBAN/BIC, Swift, ACH, or wire transfer. To make a payment via bank transfer, simply use the Register button to sign up for your selected course.

Credit Card Payments – We accept payments from all major credit cards, including Mastercard, VISA, American Express, Discover & Diners, and Cartes Bancaires. Payments can be made directly through the registration link or by requesting an invoice that includes a web link for online payment. All transactions are secure, and DataCipher does not store any credit card information.

These options are designed to make the registration process as smooth and flexible as possible for all participants.

Status

Guaranteed to Run – DataCipher is committed to running this class unless unforeseen events such as an instructor’s accident or illness occur.

Guaranteed on Next Booking – The course will proceed once an additional student registers.

Scheduled Class – We have scheduled this course and rarely cancel due to low enrollment. We offer a “Cancel No More Than Once” guarantee, ensuring that if a class is canceled due to insufficient enrollment, the next session will run regardless of the number of attendees.

Sold Out – If the class is fully booked, please use our contact form to join the waiting list or to inquire about additional sessions. We’re here to accommodate your training needs and keep you informed of new opportunities.

Half and Full-Day Training

At DataCipher, we offer our training courses in both traditional full-day and convenient half-day formats. Our half-day classes are specifically designed for IT professionals who cannot be away from their workplaces for consecutive full days. This flexible schedule allows participants to dedicate a few hours to learning and then return to their regular work responsibilities.

The curriculum for both the full-day and half-day formats is identical. The primary difference is that the half-day classes spread the coursework over a more extended period, providing a balanced approach to professional education. DataCipher has been successfully running these half-day training sessions for several years, receiving consistently positive feedback from our customers. They appreciate the flexibility and report that the extended timeframe facilitates a deeper understanding of the material, as it gives them more time to absorb and reflect on the information learned.

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