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AI+ Sales™ Self-Paced Learning V3
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Datos del curso
General
Course Introduction
Introduction AI+ Sales - Audio File
Module 1: Introduction to Artificial Intelligence (AI) in Sales
1.1 Introduction to AI in Sales
1.2 Key Components of AI
Activity: Hotspot
1.3 Evolution of AI
1.4 Evolution of AI in Sales
1.5 Role of AI in Sales
Activity: Timeline
1.6 AI tools for Sales
1.7 Machine Learning (ML)
1.8 Predictive Analytics
1.9 Chatbots and Virtual Assistants
1.10 Sales Forecasting
Activity: Tab Type 2
1.11 Benefits & Challanges
1.12 Success Stories & Applications of AI
Activity: Carousel/ Slideshow
1.13 Enhanced Personalization & Virtual Sales Assistants
1.14 Predictive Analytics & Automated Data Analysis
1.15 Sales Process Optimization & Augmented Reality (AR) in Sales
Activity: True/False
Activity: Knowledge checks
Module 01: Introduction to Artificial Intelligence (AI) in Sales
Introduction to Artificial Intelligence (AI) in Sales - Audio File
Podcast: Introduction to Artificial Intelligence (AI) in Sales
Hands - On 1
Hands - On 2
Hands - On 3
Hands - On 4
Quiz
Module 2: Straight Connector 2, ShapeUnderstanding Data in Sales
2.1 Sales Data Categories and Their Significance
2.2 Techniques for Effective Data Collection
2.3 Secondary Data Collection Techniques
2.4 Data Privacy and Ethics Considerations
Activity: Tab Type 1
2.5 Data Analysis and Interpretation in Sales
2.6 Data Collection and Preparation
2.7 Descriptive Analysis & Inferential Analysis
2.8 Data Visualization
Activity: Hotspot
2.9 Data Management Methods
2.10 NoSQL Databases
2.11 Data Warehouses
2.12 Data Lakes
2.13 Cloud Storage
Activity: Popup
2.14 Data Protection Principles
2.15 Purpose Limitation & Data Minimization
2.16 Data Accuracy & Security and Confidentiality
Activity: Accordion
2.17 What is CRM Integration & Benefits
2.18 Common CRM Integration Methods & Best Practices for CRM Integration
Activity: Tab Type 1
2.19 Customer Relationship Management (CRM) Analytics & Business Intelligence (BI) Tools & Predictive Analytics Tools
2.20 Importance of Ethical Use of Sales Data & Key Considerations for Ethical Use of Sales Data
Activity: Problem Statement: Type 1
2.21 Real-World Data Applications
Activity: Problem Statement: Type 2
Activity: Knowledge checks
Module 02: Understanding Data in Sales
Understanding Data in Sales - Audio File
Podcast: Understanding Data in Sales
Hands - On
Quiz
Module 3: AI Technologies for Sales
3.1 Understanding ML
3.2 Role, Applications & Challanges in ML
Activity: Drag-and-Drop
3.3 Understanding Predictive Analytics
3.4 Understanding Exploratory Data Analysis (EDA) & Feature Selection Engineering
3.5 Model Selection and Creation & Model Training and Validation
Activity: Sequence
3.7 Importance of Customer Interaction
3.8 Understanding Chatbots & Benefits of Chatbots in Customer Service
3.9 How Chatbots Work & Best Practices for Implementing Chatbots
Activity: Tab Type 2
3.10 Understanding Segmentation & Benefits of Segmentation
3.11 Types of Segmentation & AI Technologies for Segmentation
3.12 Understanding Personalization in Sales & Benefits
3.13 Leveraging AI for Personalization in Sales & Implementing Personalization Strategies
Activity: Carousel/ Slideshow
3.14 Enhancing User Experience with Collaborative & Content-Based Filtering
3.15 Hybrid and ML-Enhanced Recommendation Systems
3.16 Measuring Success: Evaluating and Implementing Recommendation Engines
Activity: True/False
3.17 Transforming Sales with CRM and AI-Powered Lead Generation
3.18 Sharpening Sales Strategies with Forecasting and Process Optimization
3.19 Driving Conversions with Personalization and Predictive Analytics
Activity: Multiple Response
3.20 Measuring What Matters: KPIs and Sales Funnel Analysis
3.21 Empowering Sales with CRM, Analytics, and Coaching Strategies
Activity: Popup
Activity: Knowledge checks
Module 03: AI Technologies for Sales
AI Technologies for Sales - Audio File
Podcast: AI Technologies for Sales
Hands - On
Quiz
Module 4: Implementation of AI in CRM Systems
4.1 Foundations of CRM: Strategy, Systems, and Impact
4.2 Elevating CRM with AI Integration: Benefits and Best Practices
4.3 Mastering Lead Scoring: Strategy, Models, and Implementation
4.4 Unlocking Growth Through Lead Scoring: Benefits and Best Practices
Activity: Hotspot
4.5 Powering Business Success Through Customer Insights
4.6 Sources and Analysis of Customer Insights
4.7 Streamlining Lead Management with Automation and Data-Driven Forecasting
4.8 Boosting Sales Performance Through Collaboration and AI Integration
Activity: Drag-and-Drop
4.9 Mastering Personalized Communication in CRM
4.10 Transforming CRM with Chatbots: Functionality, Benefits, and Implementation
Activity: Accordion
4.11 From Data to Decisions: Understanding Analytics in CRM
4.12 Gathering and Analyzing Data for Market Insight
4.13 Real-World Impact of AI-Driven CRM: Case Studies Across Industries
Activity: Problem Statement: Type 1
Activity: Knowledge checks
Module 04: Implementation of AI in CRM Systems
Implementation of AI in CRM Systems - Audio File
Podcast: Implementation of AI in CRM Systems
Hands - On
Quiz
Module 5: Sales Forecasting in AI
5.1 Sales Forecasting: Navigating Business Growth with Data
5.2 Linear Regression in Sales Forecasting
5.3 Time Series Analysis
5.4 Enhancing Sales Forecasting with Neural Networks
5.5 Powering Predictions with Ensemble Methods
Activity: Carousel/ Slideshow
5.6 Strengthening Analytics with Data Cleaning and Transformation
5.7 Unifying Data for Smarter Insights – Integration & Sampling in Action
5.8 Decoding Sales Insights – Patterns, Trends, and Strategic Planning
5.9 Trend Analysis Tools and Techniques
Activity: Tab Type 2
5.10 Evaluating Forecast Performance and Data Readiness
5.11 Advanced Forecasting Techniques for Modern Business Needs
5.12 Continuous Monitoring and Forecast Refinement
Activity: Sequence
5.13 Neural Networks and Time Series in Forecasting
5.14 Core AI Tools for Data-Driven Accuracy
5.15 Utilizing Real-Time Data for Sales Forecasting
Activity: Multiple choice with image
5.16 Scenario-Based Forecasting for Strategic Flexibility
5.17 Sales Forecasting with AI Measuring Accuracy, Bias, and Impact
Activity: True/False
Activity: Knowledge checks
Module 05: Sales Forecasting with AI
Sales Forecasting with AI - Audio File
Podcast: Sales Forecasting with AI
Hands - On
Quiz
Module 6: Enhancing Sales Processes with AI
6.1 Task Automation in Sales
6.2 Transforming Sales with Task Automation
6.3 AI-Driven Personalization
6.4 Email Marketing with AI-driven Personalization
Activity: Tab Type 1
6.5 Social Media Insights with AI Analytics
6.6 Enhancing Engagement with AI Analytics on Social Media
6.7 Leveraging Predictive Analytics for Social Media Engagement and Business Growth
6.8 Enhancing Brand Engagement and Insights through Social Listening
6.9 Enhancing Marketing Effectiveness through Audience Segmentation
6.10 Social Media Advertisements for Enhanced Engagement and ROI
Activity: Drag-and-Drop
6.11 AI-powered Lead Generation
6.12 Benefits and Techniques of Customer Segmentation for Improved Sales and Marketing
6.13 Maximizing Sales Efficiency with AI-Powered Sales Routing
6.14 Content Performance through AI-Driven Optimization
6.15 Content Optimization with AI Insights
Activity: Accordion
6.16 Performance Tracking and Real-Time Monitoring for Enhanced Sales Optimization
6.17 Upselling and Cross-Selling to Boost Sales and Customer Satisfaction
6.18 AI in Upselling and Cross-Selling
Activity: Multiple Response
Activity: Knowledge checks
Module 06: Enhancing Sales Processes with AI
Enhancing Sales Processes with AI - Audio File
Podcast: Enhancing Sales Processes with AI
Hands - On
Quiz
Module 7: Ethical Considerations and Bias AI
7.1 Defining Ethical AI in Sales: Principles and Best Practices
7.2 Ethical AI in Sales: Prioritizing Fairness, Transparency, and Stakeholder Well-being
7.3 Understanding and Mitigating Bias in AI Systems
7.4 Understanding and Identifying Bias in AI Systems
7.5 Addressing and Mitigating Bias in AI Systems
Activity: Problem Statement: Type 2
7.6 Addressing and Mitigating Bias in AI Systems: From Preprocessing to Post-Processing
7.7 Collaborative Efforts and Transparency in AI
7.8 Importance of Transparency in AI
7.9 Ensuring Transparency in AI Decision-Making
7.10 AI Accountability in Ethical and Transparent Practices
7.11 Approaches for AI Accountability
Activity: Carousel/ Slideshow
7.12 Privacy in AI
7.13 Safeguarding Customer Data
7.14 Understanding Regulatory Compliance in A
7.15 Ensuring Regulatory Compliance in AI
Activity: Hotspot
7.16 Importance of Trust in AI
7.17 Building Trust Through Ethical AI Practices
7.18 Ethical Challenges in AI Advancements
Activity: True/False
Activity: Knowledge checks
Module 07: Ethical Considerations and Bias AI
Ethical Considerations and Bias AI - Audio File
Podcast: Ethical Considerations and Bias AI
Hands - On
Quiz
Module 8 : Practical Workshop
8.1 Scenario-Based Exercises
8.2 Applying AI in Real Sales Situations & Benefits of Scenario-Based Exercises
Activity: Drag-and-Drop
8.3 Identifying and Analyzing Sales Challenges & Leveraging AI to Overcome Sales Challenges
8.4 Understanding Collaborative AI Implementation
8.5 Steps for Collaborative AI Implementation
Activity: Accordion
Activity: Knowledge checks
Module 08: Practical Workshop
Practical Workshop - Audio File
Podcast: Practical Workshop
Quiz
Additional Module - AI Agents For Sales
AI Agents Sales
Resources
AI+ Sales Blueprint
AI+ Sales Detailed Curriculum
AI+ Sales Tools
AI+ Sales Reference Videos and Links
AI CERTs Exam Guidelines
AI CERTs Exam Guidelines
AI+ Sales Examination
AI+ Sales Examination
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Información del curso
AI+ Sales™ Self-Paced Learning V3
Skill Level
:
Beginner
certificate name
:
AI+ Sales™
Badge
:
Badge_AI+-Sales.png
Course Layout
:
Standard
