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Coursera

Gen AI Sales Forecasting and Marketing Analysis

Starweaver via Coursera

Overview

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Generative AI for sales and marketing is transforming the way businesses predict trends and optimize campaigns, giving sales and marketing professionals a decisive edge in today's fast-paced, data-driven markets. This course provides a comprehensive journey from foundational concepts in Gen AI for sales forecasting and marketing analysis to advanced generative AI use cases in marketing and AI-driven business applications. Learners will gain hands-on experience with cutting-edge gen AI tools for sales including ChatGPT and Google Gemini to analyze data, forecast sales, and design highly targeted campaigns with precision. Through interactive labs and real-world case studies, you'll develop practical skills in customer segmentation, sentiment analysis, and performance evaluation. You'll also master AI tools for mapping demand gen to sales outcomes, enabling smarter pipeline decisions and scalable AI leads generation strategies that directly impact revenue. The course further addresses ethical considerations including data security, bias mitigation, and transparency, ensuring responsible AI adoption across AI B2B sales and broader AI sales and marketing functions. This course is ideal for sales managers looking to boost team productivity, marketing analysts building data-driven campaigns, and aspiring professionals seeking structured sales AI training to future-proof their careers. By the end, you'll be equipped with the leading AI sales solutions, frameworks, and confidence to harness Gen AI for sales and deliver measurable, lasting business growth.

Syllabus

  • Course Introduction
    • In this course, you’ll learn how to leverage Generative AI to enhance sales forecasting and optimize marketing strategies using advanced tools like ChatGPT, Google Gemini, and AI-driven analytics platforms. You’ll focus on real-world applications such as trend prediction, customer segmentation, sentiment analysis, and campaign performance evaluation to drive actionable, data-informed decisions. Through expert instruction, hands-on labs, and real-world case studies, you’ll gain the skills to implement AI-powered strategies, personalize customer experiences, and confidently navigate the evolving AI-driven business landscape.
  • Leveraging GenAI for Predictive Sales
    • In this module, you’ll learn how to leverage Generative AI to enhance sales forecasting and predictive analytics. You’ll explore the foundations of AI-driven forecasting, understand how tools like ChatGPT or Claude can analyze historical sales data, and see how predictive models can improve accuracy in trend projection. Through expert-led discussions, hands-on demos, and visualization exercises, you’ll discover how GenAI integrates into sales pipelines to strengthen decision-making. With step-by-step labs and real-world applications, you’ll practice building AI-generated forecasts, creating sales reports, and testing assumptions with interactive prompts. By the end, you’ll be equipped to apply AI forecasting tools effectively, identify opportunities in sales data, and make more confident strategic predictions.
  • GenAI for Marketing Analysis
    • In this module, you’ll learn how to apply Generative AI to marketing analytics, campaign optimization, and customer insights. You’ll explore AI-driven techniques for measuring campaign performance, analyzing customer sentiment, and creating data-driven segments. Through demos, labs, and interactive exercises, you’ll gain hands-on experience with GenAI tools like ChatGPT or Claude to optimize campaigns, personalize strategies, and better understand customer behavior. By the end, you’ll be able to leverage AI to enhance marketing effectiveness and strategic decision-making.
  • Integrating GenAI in Business Operations
    • In this module, you’ll explore how to integrate Generative AI outputs into business decision-making and operations. You’ll learn best practices for AI adoption, study real-world business cases, and address common challenges encountered during implementation. Through practical tips on scaling AI solutions, you’ll discover strategies to embed GenAI into daily workflows and drive business value. By the end, you’ll be equipped to lead the integration of AI into business processes while balancing innovation with governance and human oversight.
  • Challenges and Ethical Considerations
    • In this module, you will address the ethical risks and challenges associated with Generative AI in sales and marketing. You’ll learn key principles for ensuring data privacy and security, detecting and mitigating bias, and maintaining transparency in AI-driven decisions. With a focus on building trust and adhering to ethical standards, this module provides you with the knowledge to navigate the complexities of AI adoption responsibly. By the end, you will be equipped to implement GenAI tools in ways that prioritize fairness, accountability, and stakeholder confidence.
  • Conclusion
    • In this final section, you will consolidate your learning and apply the knowledge gained throughout the course. The wrap-up video will recap key concepts and guide you through the next steps for further exploration. The project will provide an opportunity to develop a comprehensive Sales and Marketing Strategy using GenAI, where you will integrate forecasting, customer segmentation, and ethical considerations into a practical project. By the end, you will have a solid understanding of how to use GenAI tools to drive results in sales and marketing, and how to execute AI-driven strategies responsibly.

Taught by

Christopher Klaus and Starweaver

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