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GenAI for Sales Development Representatives

Master GenAI tools to enhance sales productivity and efficiency. Learn to leverage AI for lead generation, customer engagement, and sales outreach.

Master GenAI tools to enhance sales productivity and efficiency. Learn to leverage AI for lead generation, customer engagement, and sales outreach.

This specialized course introduces Sales Development Representatives (SDRs) to the transformative potential of Generative AI in sales processes. Designed for both experienced and aspiring SDRs, the course combines practical demonstrations with hands-on activities to teach participants how to leverage GenAI tools for enhanced lead generation, customer engagement, and sales outreach while considering ethical implications.

Instructors:

English

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GenAI for Sales Development Representatives

This course includes

2 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

2,435

What you'll learn

  • Identify GenAI capabilities relevant to sales tasks

  • Master lead generation and qualification techniques

  • Create personalized email templates and sales scripts

  • Implement AI-driven customer engagement strategies

  • Optimize sales workflows with GenAI tools

  • Develop responsible AI integration practices

Skills you'll gain

lead generation
customer engagement
sales outreach
GenAI integration
workflow enhancement
ethical AI
sales automation
personalized communication
CRM optimization
AI-driven sales

This course includes:

89 Minutes PreRecorded video

1 assignment,1 peer review

Access on Mobile, Tablet, Desktop

FullTime access

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There is 1 module in this course

This comprehensive course focuses on integrating Generative AI into sales development processes. Students learn practical applications of GenAI tools including Copilot, ChatGPT, Claude AI, and Gemini for lead generation, qualification, and engagement. The curriculum covers creating personalized email templates, sales scripts, and follow-up strategies while addressing ethical considerations and best practices for responsible AI integration in sales workflows.

GenAI for Sales Development Representatives

Module 1 · 2 Hours to complete

Fee Structure

Payment options

Financial Aid

Instructor

Christopher Klaus
Christopher Klaus

1,193 Students

1 Course

Data Science Innovator Christopher Klaus Drives Technological Transformation Across Industries

Christopher Klaus has established himself as a multifaceted technology leader who combines expertise in data science, analytics, and engineering with visionary leadership across software, government, healthcare, education, and advertising sectors. His comprehensive approach encompasses mastery of cloud platforms including AWS, GCP, and Azure, while pioneering implementations of AI and machine learning solutions that drive strategic growth and operational excellence. As an educator and mentor, Klaus has demonstrated his commitment to fostering innovation through the development of educational programs and scholarly contributions, earning recognition through various honors and awards. His leadership philosophy emphasizes continuous learning and problem-solving, creating environments where teams can thrive while deploying advanced solutions that make lasting impacts across industries. Through his work in data analytics, governance, and engineering, Klaus continues to shape the future of technology while mentoring the next generation of innovators.

GenAI for Sales Development Representatives

This course includes

2 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

2,435

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.