AI+ Sales™ - eLearning (exam included)
225,00 EUR
- 15 hours
The AI+ Sales Certification is specifically designed for sales professionals and business leaders aiming to leverage the power of Artificial Intelligence (AI) in their sales strategies. This program guides learners through core AI concepts and their practical impact on today’s sales processes. Participants will develop the ability to interpret and apply sales data to generate actionable insights that support informed, strategic decisions.
Key Features
Language
Course and material in English
Level
Beginner level
Access
1 year access to the platform 24/7
6 hours of video lessons & multimedia
15 hours of study time recommendation
Material
Video, PDF Material, audio eBook, Podcasts, quizzes and assessments.
Tools You’ll Master
Salesforce Einstein, Conversica, Uniphore
Exam
Online Proctored Exam with One Free Retake
Certificate
Certification of completion included
About the course
This curriculum offers in-depth coverage of AI technologies tailored for sales. Participants will learn how to integrate AI into CRM systems and use it to enhance sales strategies. Through hands-on workshops, they’ll gain experience with tools that automate tasks, personalize customer engagement, and improve lead and opportunity management.
The AI+ Sales program also highlights the importance of ethical AI use. It trains learners to recognize and reduce algorithmic bias, promoting fairness and transparency. In addition to boosting sales performance, the program helps build a solid ethical foundation for responsible AI implementation. Ultimately, the certification equips professionals with the skills and integrity to drive innovation and long-term success in AI-enhanced sales environments.
Industry Outlook: Driving Sales Performance Through AI Insights
- Businesses are rapidly integrating AI to streamline sales workflows, boost conversion rates, and automate lead generation.
- AI empowers sales teams with valuable customer insights, enabling accurate predictions and personalized engagement. As adoption grows, the need for professionals skilled in managing
- AI-driven strategies continues to rise. AI is also transforming CRM systems by enhancing lead scoring, targeted outreach, and data-informed forecasting.
Achieve 10X Impact with AI-Driven Sales
Understand fundamental AI concepts to optimize sales processes, forecast trends, and strengthen customer interactions.
Learning Outcomes
At the end of this course, you will be able to:
AI basics
Develop a solid grasp of AI basics, including its history, evolution, and relevance to sales functions.
AI tools
Learn to use AI tools and technologies in practical settings to improve sales through automation, personalization, and data-informed decisions.
compliance
Understand regulatory compliance and ethical concerns to ensure responsible AI use in sales.
Sales workflows
Build the skills to integrate AI into sales workflows, enhance CRM capabilities, and use data insights to drive better business results.
Informed Decision-Making
Develop skills in data interpretation and visualization to drive smarter, results-oriented project decisions.
Responsible AI Use
Explore how to address AI bias. Learn how to manage ethical challenges and implement effective AI governance in sales operations. Promote ethical growth while improving sales outcomes and productivity.
Course timeline
Introduction to AI in Sales
Lesson 1
- 1.1 Fundamentals of AI
- 1.2 Historical Journey and Evolution of AI in Sales
- 1.3 AI Tools & Technologies Transforming Sales
- 1.4 Benefits and Challenges in Adoption of AI in Sales
- 1.5 Real-world Examples and Applications of AI in Sales
- 1.6 Future of AI in Sales
Understanding Data in Sales
Lesson 2
- 2.1 Categories of Sales Data
- 2.2 Techniques for Effective Data Collection
- 2.3 Basics 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
AI Technologies for Sales
Lesson 3
- 3.1 Introduction to Machine Learning in Sales
- 3.2 Predictive Analytics: Forecasting Sales Trends
- 3.3 NLP: Enhancing Customer Interactions
- 3.4 Chatbots: Automating Customer Service
- 3.5 Segmentation: Tailoring Customer Experiences
- 3.6 Personalization: Customizing Sales Approaches
- 3.7 Recommendation Engines: Driving Product Suggestions
- 3.8 Sales Automation: Streamlining Sales Processes
- 3.9 Performance Analysis: Measuring Sales Effectiveness
Implementation of AI in CRM Systems
Lesson 4
- 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 Personalized Communication
- 4.7 Chatbots in CRM
- 4.8 Gaining Actionable Insights from Data
- 4.9 Case Studies
Sales Forecasting with AI
Lesson 5
- 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
Enhancing Sales Processes with AI
Lesson 6
- 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 Optimizing 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
Ethical Considerations and Bias AI
Lesson 7
- 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 Issues in AI Advancements
Practical Workshop
Lesson 8
- 8.1 Scenario-Based Exercises
- 8.2 Addressing Sales Challenges with AI
- 8.3 Collaborative AI Implementation Plans
AI Agents for Sales
Optional Module
- What Are AI Agents
- Types of AI Agents
- Applications and Trend of AI Agents in Sales
Who Should Enroll in this Program?
Sales Professionals: Streamline sales activities and boost performance using AI for automation and CRM enhancement.
Marketers: Apply AI to refine audience targeting, personalize campaigns, and boost engagement.
Business Development Leaders: Use AI insights to uncover growth opportunities and support strategic expansion.
Product Managers: Leverage AI to assess customer behavior, set competitive pricing, and improve market fit.
Consultants: Advise businesses on adopting AI in sales to enhance efficiency and increase revenue.
More Details
Pre-requisites
- General understanding of sales workflows and terms to support learning AI applications in sales.
- Basic skills in data analysis to appreciate the role of data-driven decisions in sales.
- Introductory knowledge of CRM platforms to grasp how AI can enhance sales performance.
- A strong interest in exploring how AI can revolutionize sales strategies and boost revenue.
Exam Details
- Duration: 90 minutes
- Passing :70% (35/50)
- Format: 50 multiple-choice/multiple-response questions
- Delivery Method: Online via proctored exam platform (flexible scheduling)
- Language: English
Licensing and accreditation
This course is offered by AVC according to Partner Program Agreement and complies with the License Agreement requirements.
Equity Policy
AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Questions
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