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AI+ Sales Practitioner™

Name: AI+ Sales Practitioner™
Brand: Learning People
Price: 149.00 GBP
Availability: InStock

The AI+ Sales Practitioner™ self-paced learning course by AI CERTs® equips sales professionals and business leaders with practical skills in AI-driven CRM integration, predictive sales forecasting, automated lead generation, personalised customer engagement, and ethical AI sales practices.

Course Overview

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 analyse, optimise, and automate sales processes

Growth-Oriented: Drive ethical business growth and maximise performance

Certification overview:

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

Certificate 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

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 modelling, forecasting sales, and enhancing decision-making. AI-Enhanced Customer Insights: Explore AI tools to analyse behaviour, automate scoring, and personalise 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 for customer targeting, personalisation, and engagement.

Business Development Managers: Leverage AI-driven insights to identify new business opportunities and drive growth.

Product Managers: Utilise AI to understand customer needs, optimise pricing strategies, and improve product positioning.

Consultants: Help organisations implement AI-powered sales strategies that drive profitability and operational efficiency.

Tools You'll Master

Salesforce Einstein

Conversica

Uniphore

Certification Modules

Course Overview

Course Introduction Preview

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

1.1 Fundamentals of AI

1.2 Generative AI and Modern Evolution of AI in Sales

1.3 AI Tools and Technologies that Transform Sales

1.4 Benefits and Challenges in the Adoption of AI in Sales

1.5 Real-world Examples and Applications of AI in Sales

1.6 The Future of AI in Sales

Module 2: Understanding Data in Sales

2.1 Categories of Sales Data

2.2 Techniques for Effective Data Collection

2.3 Basic Concepts of Data Analysis and Interpretation

2.4 Data Management Methods

2.5 Data Protection Principles

2.6 Data Integration in CRM Systems

2.7 Overview of Analytical Tools

2.8 Ethical Use of Sales Data

2.9 Case Studies: Real-World Data Applications

Module 3: AI Technologies for Sales

3.1 Introduction to Machine Learning in Sales

3.2 Predictive Analytics: Sales Trend Forecasting

3.3 NLP for Enhancing Customer Interactions

3.4 Chatbots: Customer Service Automation

3.5 Segmentation: Tailoring Customer Experiences

3.6 Personalisation: Customising Sales Approaches

3.7 Recommendation Engines: Driving Product Suggestions

3.8 Sales Automation: Streamlining Sales Processes

3.9 Performance Analysis: Measuring Sales Effectiveness

3.10 Modern AI Sales Stack: Generative AI, Copilots, and Intelligent Workflows

Module 4: Implementation of AI in CRM Systems

4.1 Foundation of CRM Systems

4.2 AI Integration into CRM Systems

4.3 Lead Scoring

4.4 Customer Insights

4.5 Sales Automation

4.6 Personalised Communication

4.7 Chatbots and CRM

4.8 Gaining Actionable Insights from Data

4.9 Case Studies

4.10 Modern AI CRM Stack: Tools, Integrations, and Execution Layer

Module 5: Sales Forecasting with AI

5.1 Introduction to Sales Forecasting

5.2 Overview of Predictive Models in Forecasting

5.3 Data Preparation for Analysis

5.4 Identifying Sales Patterns and Trends

5.5 Enhancing Forecast Reliability

5.6 Key Forecasting AI Tools in AI

5.7 Utilizing Real-time Data for Forecasts

5.8 Developing Forecasts for Different Outcomes

5.9 Measuring the Success of Sales Forecasts

5.10 Case Study – How SaaS Companies Forecast Revenue Using AI

Module 6: Enhancing Sales Processes with AI

6.1 Task Automation

6.2 AI-driven Email Marketing

6.3 Social Media with AI Analytics

6.4 AI-Powered Lead Generation

6.5 Customer Segmentation

6.6 Optimisation of Sales Visits and Calls

6.7 Tailoring Content with AI Insights

6.8 Real-Time Sales Activity Monitoring

6.9 Upselling and Cross-selling with AI

Module 7: Ethical Considerations and Bias in AI

7.1 Ethical Use of AI in Sales

7.2 Bias Identification in AI Systems

7.3 Bias Mitigation

7.4 Transparency in AI Decision Making

7.5 Accountability for AI Actions

7.6 Safeguarding Customer Data

7.7 Regulatory Compliance

7.8 Building Customer Trust through Ethical AI

7.9 Anticipating Ethical Problems in AI Advancements

Module 8: Practical Workshop

8.1 Scenario-Based Exercises

8.2 Addressing Sales Challenges with AI

8.3 Collaborative AI Implementation Plans

8.4 Hands-On Workshop: AI-Powered Sales Execution using HubSpot CRM

Optional Module: Introduction to AI Agents for Sales

1. What are AI Agents

2. Types of AI Agents

3. Applications and Trends of AI Agents in Sales

4. Case Studies

5. Hands-on

Frequently Asked Questions

What core industry problems does the AI+ Sales Self-Paced Learning V3 training solve?

This course is engineered to help you solve real-world operational inefficiencies by integrating advanced machine learning tools into your daily workflow. You will learn to automate tedious data processing, construct predictive models, and optimize systemic outputs specific to this domain. By learning these practical automation skills, you immediately boost your daily professional output and elevate your long-term career value.

Are the tools and software platforms taught in this course accessible to beginners?

The curriculum is structured logically to support clean career progression, moving from essential concepts to advanced configurations. While technical tracks introduce deeper code integrations, our industry-specific modules utilize user-friendly enterprise interfaces and pre-trained prompt systems. This balanced approach ensures you can comfortably master the curriculum, acquire highly sought-after skills, and earn your digital record badge without frustration.

How will completing this self-paced course help upgrade my professional CV?

Completing this training demonstrates to modern employers that you possess practical, forward-looking expertise in artificial intelligence integration. Your profile will stand out with specialized technical capabilities, showing you can actively deploy automation, reduce operational costs, and manage digital workflows. This enables you to confidently pursue high-tier promotions, transition into modern tech roles, and take your career to the absolute next level.