AI+ Sales™

Your first step toward a promising career in AI-Powered Sales (AI+)™

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Certified by the Artificial Intelligence Institute

Why AI+ Sales™? 10× Impact on AI-Driven Sales

Comprehensive Understanding of Artificial Intelligence


Learn the fundamentals of AI to streamline sales workflows, predict trends, and enhance customer engagement.

Predictive Sales Analytics:


Gain the ability to apply AI in predictive modeling, sales forecasting, and improving decision-making quality.

AI-Enhanced Customer Insights:


Explore AI tools to analyze customer behavior, automate scoring, and personalize communication effectively.

Ethical AI Integration:


Understand how to address ethical considerations and implement AI governance frameworks in sales.

At a Glance: Program & Exam Overview

Program Name

AI+ Sales™

Includes


Instructor-led course or self-paced learning + official exam + digital badge

Duration

  • Instructor-led: 1 day (in-person or virtual)

  • Self-paced learning: 8 hours of content

Prerequisites


Basic familiarity with sales processes ,Data analysis skills ,Introductory knowledge of CRM systems

Exam Format


50 questions ,Passing score: 70%, Duration: 90 minutes, Online proctored exam

Delivery Style


Projects and Case Studies

Outcomes


Industry-recognized professional certification + practical, hands-on experience

Who Should Enroll?

Sales Managers & Leaders:


Leverage AI to automate sales processes and enhance CRM management, boosting sales performance.

Marketing Professionals:


Integrate AI with marketing strategies to improve targeting, personalization, and customer engagement.

Business Development Managers:


Use AI-driven insights to discover new business opportunities and drive growth.

Product Managers:


Apply AI to understand customer needs, optimize pricing strategies, and strengthen product positioning.

Consultants:


Help organizations implement AI-powered sales strategies that drive profitability and operational efficiency.

Career Roles & Industry Outlook

Business Development Strategist:


Develop growth strategies using AI to identify new market opportunities, strengthen customer relationships, and optimize sales channels.

Sales Specialist:


Manage AI tools to enhance sales operations, improve customer engagement, and increase conversion rates using intelligent technologies.

Sales Manager:


Lead sales teams using AI-driven insights, optimize sales strategies, and oversee AI implementation.

Sales Analytics Expert:


Analyze sales data using advanced AI algorithms to provide actionable insights, uncover trends, and generate predictive outputs for better decision-making.

Skills You Will Acquire

  • Leveraging sales data with AI

  • Exploring AI technologies tailored for sales

  • Integrating AI into CRM systems

  • Applying AI in sales forecasting

  • Optimizing sales processes using AI

  • Addressing ethical considerations and bias in AI sales

  • Implementing AI-driven strategies to improve sales performance

Prerequisites:

  • Basic familiarity with sales processes and terminology to understand AI applications in sales

  • Fundamental knowledge of data analytics to appreciate data-driven decision-making in sales

  • Introductory knowledge of CRM systems to understand how AI enhances sales performance

  • A proactive interest in exploring AI’s potential to transform sales operations and drive revenue growth

Exam Details

  • Duration: 90 minutes

  • Passing Score: 70% (35 out of 50)

  • Exam Format: 50 multiple-choice / multiple-response questions

  • How to Apply: Online via a proctored exam platform (flexible scheduling)

Exam Blueprint:

  • Introduction to AI in Sales – 13%

  • Understanding Sales Data – 13%

  • AI Techniques for Sales – 13%

  • Applying AI in CRM Systems – 13%

  • AI-Powered Sales Forecasting – 13%

  • Optimizing Sales Processes with AI – 13%

  • Ethical Considerations and Bias in AI – 13%

  • Hands-On Workshop – 9%

Choose the Format That Fits Your Schedule
Included Content (1-year subscription + all updates):

  • High-quality videos, eBook (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

  • Access via tablet and mobile devices

 

 
 
 

 

 

 

Quick Overview: Course + Exam

Program Name


Advanced AI Project Manager (AI+)™

Includes


Instructor-Led Training Course Or self-paced learning + official exam + digital badge

Duration

  • Instructor-led: 1 day (in-person or virtual)

  • Self-Paced: 8 Hours of Content

Prerequisites


Basic concepts in mathematics and artificial intelligence, familiarity with Python, and foundational knowledge of machine learning and AI principles

Exam Format


50 questions, 70% passing score, 90-minute duration, remotely proctored online exam

Delivery Style


Hands-on projects and real-world case studies

Outcomes


Industry-recognized professional certification + practical, hands-on experience

Who Should Enroll?

  • Project Management Professionals Enhance your expertise by integrating AI to streamline workflows and improve decision-making.

  • IT Professionals Learn how to leverage AI technologies to optimize processes and drive innovation in cross-functional projects.

  • Business Strategists Gain the skills needed to apply AI insights to strategic planning, forecasting, and business growth.

  • Tech Enthusiasts and Innovators Explore real-world applications of AI in project management to stay ahead in a rapidly evolving tech landscape.

  • Students and Recent Graduates Strengthen your resume with in-demand skills in AI-powered project management and prepare for the future job market.

Job Roles and Industry Outlook

AI Project Manager


Lead and oversee AI-driven projects, ensuring effective integration of intelligent systems to solve real-time development challenges, while managing timelines, budgets, and cross-team collaboration.

AI Solutions Architect


Design and implement AI models and architectures to address complex business problems, acting as a critical bridge between technical teams and organizational goals.

AI Integration Specialist


Facilitate the seamless integration of AI technologies across business operations, ensuring alignment with organizational objectives and technical feasibility.

Data-Driven Project Manager


Leverage AI and data analytics to enhance project decision-making, optimize resource allocation, assess risks, and track performance.

Industry Growth

Redefining project timelines, resources, and outcomes through artificial intelligence.
The global AI in project management market is expected to reach USD 7,717.2 million by 2030 (Source: Grand View Research)
As more organizations adopt AI, demand continues to grow for project managers specializing in AI to lead the development of AI-powered products, platforms, and applications.
Companies are heavily investing in AI solutions to streamline operations and improve efficiency.
Rapid advancements in AI require project managers to ensure compliance with regulations, security standards, and ethical guidelines.

Skills You Will Gain

  • Applying AI to solve real-time development challenges

  • Integrating AI with intelligent systems

  • Using and integrating AI systems

  • AI algorithms and architecture

  • Implementing AI models

  • AI project management processes

  • Designing and deploying AI applications

Prerequisites:

  • Basic understanding of core concepts in foundational mathematics and artificial intelligence

  • Fundamental knowledge of computer science concepts such as programming, data structures, and algorithms

  • Basic familiarity with key AI and machine learning terminology

  • Willingness to participate in hands-on activities and workshops to apply AI concepts in project management scenarios

Exam Details

  • Duration: 90 minutes

  • Passing Score: 70% (35 out of 50)

  • Exam Format: 50 multiple-choice / multiple-response questions

  • How to Apply: Online via a remotely proctored exam platform (flexible scheduling)

Exam Blueprint:

  • Introduction to AI in Project Management: 10%

  • AI Tools for Project Management: 15%

  • Data-Driven Decision Making: 10%

  • AI for Enhancing Team Collaboration and Productivity: 15%

  • Ethical Considerations and Bias in AI: 15%

  • Applying AI in Projects: 25%

  • The Future of AI in Project Management: 10%

Choose the Format That Fits Your Schedule

What the Subscription Includes (1 Year + All Updates):

  • High-quality videos, eBook (PDF & audio), and podcasts

  • AI-powered smart mentor for personalized guidance

  • Quizzes, Assessments, and Course Resources

  • Online Proctored Exam with One Free Retake

  • Comprehensive exam preparation guide

  • Access via tablet and mobile devices

 
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Self-paced Online Learning

8 hours of on-demand video lessons, an eBook, and podcasts Learn anytime, anywhere, with modular quizzes to track your progress

Purchase the self-paced online course

Instructor-Led Training (Live Virtual / Classroom)

One full day of intensive training with live demonstrations Real-time Q&A sessions and peer collaboration Delivered by certified AI instructors through authorized training partners

Purchase the self-paced online course

Tools You Will Explore

Frequently Asked Questions (FAQ)

 

Participants gain foundational knowledge of AI, including its historical evolution in sales, current AI tools transforming sales practices, and future AI trends. Hands-on workshops reinforce theoretical learning, enabling participants to effectively implement AI-driven strategies in their sales work environments.

 
 

Participants will acquire skills in AI-powered sales forecasting, integrating Customer Relationship Management (CRM) systems, customer segmentation, and applying personalized sales techniques. They will also learn how to analyze sales data effectively, use AI tools to score leads and automate processes, and mitigate biases in AI applications to ensure ethical sales practices.

In today’s competitive market, AI is revolutionizing sales strategies. This certification equips participants with the expertise to stay ahead by optimizing sales processes, boosting productivity through automation, and addressing ethical considerations associated with adopting AI in sales.

 

No, currently we do not offer options to customize this certification.

 
 
 
 
 
 
 
 

Graduates of the certification enhance their professional profiles by demonstrating proficiency in AI-driven sales strategies and ethical AI practices. They become equipped to drive business growth responsibly, navigate advanced AI technologies, and leverage emerging trends to optimize sales with AI.

What Will You Learn?

1.1 Fundamentals of Artificial Intelligence
1.2 Historical Journey and Evolution of AI in Sales
1.3 AI Tools and Techniques Transforming Sales
1.4 Benefits and Challenges of Adopting AI in Sales
1.5 Real-World Examples and Applications of AI in Sales
1.6 The Future of AI in Sales

 
 
 
 
 

2.1 Sales Data Categories
2.2 Effective Data Collection Techniques
2.3 Fundamentals of Data Analysis and Interpretation
2.4 Data Management Methods
2.5 Data Protection Principles
2.6 Integrating Data into Customer Relationship Management (CRM) Systems
2.7 Overview of Analytics Tools
2.8 Ethical Use of Sales Data
2.9 Case Studies: Real-World Data Applications

 

 
 
 

3.1 Introduction to Machine Learning in Sales
3.2 Predictive Analytics: Forecasting Sales Trends
3.3 Natural Language Processing (NLP): Enhancing Customer Interactions
3.4 Chatbots: Automating Customer Service
3.5 Segmentation: Personalizing Customer Experiences
3.6 Personalization: Tailoring Sales Approaches to Individual Customers
3.7 Recommendation Engines: Delivering Product Suggestions
3.8 Sales Automation: Streamlining Sales Processes
3.9 Performance Analysis: Measuring Sales Effectiveness

 
 
 
 
 

4.1 CRM Fundamentals
4.2 Integrating AI into CRM Systems
4.3 Lead Scoring
4.4 Customer Insights
4.5 Sales Automation
4.6 Personalized Communication
4.7 Chatbots in CRM Systems
4.8 Generating Actionable Insights from Data
4.9 Case Studies

 

 
 
 
 

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 AI Tools for Sales Forecasting
5.7 Using Real-Time Data in Forecasts
5.8 Developing Forecasts for Different Scenarios
5.9 Measuring the Success of Sales Forecasts

 
 
 
 
 
 

6.1 Task Automation
6.2 AI-Powered Email Marketing
6.3 Social Media with AI Analytics
6.4 AI-Driven Lead Generation
6.5 Customer Segmentation
6.6 Optimizing Sales Visits and Calls
6.7 Content Personalization Using AI Insights
6.8 Real-Time Sales Activity Monitoring
6.9 AI-Powered Upselling and Cross-Selling

 
 
 

7.1 Ethical Use of AI in Sales
7.2 Identifying Bias in AI Systems
7.3 Mitigating Bias
7.4 Transparency in AI Decision-Making
7.5 Accountability for AI Actions
7.6 Protecting Customer Data
7.7 Regulatory and Legal Compliance
7.8 Building Customer Trust through Ethical AI
7.9 Anticipating Ethical Issues in AI Developments

 
 
 
 
 
 

8.1 Scenario-Based Exercises
8.2 Tackling Sales Challenges with AI
8.3 Collaborative AI Implementation Plans

1. What Are AI Agents
2. Types of AI Agents
3. Applications and Trends of AI Agents in Sales

Start your future now

Step into the world of Advanced AI+ Sales™ and take a career-changing step forward.

Enroll Now