About GenAI for Account Executives course
As part of the GenAI Academy, “GenAI for Account Executives” delves into how Generative Artificial Intelligence (GenAI) is revolutionizing the role of account executives. This introductory course reveals the key features of GenAI and practical strategies for integrating these tools into everyday tasks.
Through engaging discussions, video demonstrations, and interactive activities, learners will understand how GenAI can boost productivity in client communication, proposal generation and more. The course also covers the ethical aspects of using GenAI, addressing potential risks and best practices for responsible use. Our learners are sales managers, marketing managers, and senior account executives who are responsible for identifying GenAI opportunities and guiding their teams towards more efficient and innovative practices. Additionally, account executives aiming to enhance their workflows and junior account executives looking to integrate AI tools into their work processes will also benefit from this course. Participants should be familiar with fundamental account management concepts, including sales processes, client relationship management, and market analysis. Familiarity with CRM tools, sales analytics software, basic productivity software, and communication tools is essential. Curiosity, an open mindset towards GenAI tools, and eagerness to experiment and learn are crucial. While a deep technical background is not required, prior exposure to account management will help learners better contextualize and apply the GenAI-focused content. By the end of this course, learners will discover the capabilities of GenAI for key account executive functions, specific methods to enhance client communication, proposal generation, market analysis, and sales forecasting, and review its limitations. They will apply GenAI to streamline work, foster innovation, and experiment with its practical applications in their roles. Additionally, learners will consider the risks, challenges, and ethical considerations of using GenAI, deploy strategies for responsible integration, and reflect on how GenAI can improve their abilities and scale productivity.
