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Gen AI Sales Forecasting and Marketing Analysis

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Starweaver

Gen AI Sales Forecasting and Marketing Analysis

Christopher Klaus
Starweaver

Instructors: Christopher Klaus

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Analyze the capabilities of Gen AI for forecasting, customer segmentation, and trend analysis.

  • Implement practical Gen AI solutions to enhance predictive analyses and marketing campaigns.

  • Implement practical Gen AI solutions to enhance predictive analyses and marketing campaigns.

  • Implement practical Gen AI solutions to enhance predictive analyses and marketing campaigns.

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Recently updated!

August 2025

Assessments

4 assignments¹

AI Graded see disclaimer
Taught in English

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There are 6 modules in this course

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.

What's included

3 videos1 reading

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.

What's included

4 videos1 reading1 assignment1 peer review1 discussion prompt

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.

What's included

4 videos1 reading1 assignment2 peer reviews1 discussion prompt

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.

What's included

4 videos1 reading1 assignment1 peer review1 discussion prompt

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.

What's included

4 videos1 reading1 assignment1 peer review1 discussion prompt

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.

What's included

1 video1 peer review

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Instructors

Christopher Klaus
16 Courses8,226 learners
Starweaver
Starweaver
413 Courses771,235 learners

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Starweaver

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.