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  3. AI-Driven Sales Forecasting and Market Analysis

AI-Driven Sales Forecasting and Market Analysis

Master Generative AI to transform sales forecasting and marketing analysis. Learn to predict trends, optimize campaigns, segment customers, and make data-driven decisions using AI tools. Includes hands-on labs and ethical AI practices.

Christopher Klaus
Christopher Klaus
Business | intermediate | 6 hours |   Published: Oct 2025

    Discussions

Overview

1kSTUDENTS*
98.6%RECOMMEND*

This course includes:

  • On-demand videos
  • Practice assessments
  • Multiple hands-on learning activities
  • Exposure to a real-world project
  • 100% self-paced learning opportunities
  • Certification of completion

Unlock the Future with Gen AI: Revolutionise Sales Forecasting and Marketing Analysis

This comprehensive course on Generative Artificial Intelligence (Gen AI) delves into how AI is reshaping sales and marketing. As businesses navigate fast-paced markets, the ability to predict trends and optimise campaigns has become a pivotal advantage. With this course, you will learn to harness the transformative power of Gen AI to enhance forecasting accuracy, streamline operations, and uncover actionable insights. Beginning with foundational concepts in sales forecasting and marketing analysis, you'll progress to advanced AI-driven techniques while gaining hands-on experience with cutting-edge tools such as ChatGPT and Google Gemini to analyse data, forecast sales, and optimise campaigns with precision.

Through interactive labs, you'll tackle real-world challenges and develop expertise in customer segmentation, sentiment analysis, and performance evaluation. The course explores ethical considerations of implementing Gen AI, including data security, bias mitigation, and transparency in AI decisions, with real-world case studies from industry leaders highlighting successful integrations of AI into sales and marketing operations. By the end of the course, you will be equipped to design AI-driven strategies that drive business growth, making data-driven decisions with confidence while maintaining ethical and responsible AI practices.

Skills You Will Gain

Generative AI, Sales Forecasting
Marketing Analytics
Customer Segmentation
AI Tools

Learning Outcomes (At The End Of This Program, You Will Be Able To...)

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

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

  • Evaluate ethical concerns and strategies for responsible AI integration. 

  • Apply AI to scale productivity and make data-driven strategic decisions. 

Prerequisites

Basic sales and marketing knowledge, familiarity with data visualization tools (Tableau, Power BI), and enthusiasm for AI-driven solutions are recommended.

Who Should Attend

Sales managers and team leaders, marketing analysts and strategists, data-driven business analysts, aspiring sales and marketing professionals, professionals transitioning to AI-driven roles, and intermediate learners exploring advanced AI applications.

Curriculum

Instructors

*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
1Chapter 1: Course Introduction
2Chapter 2: Leveraging GenAI for Predictive Sales
3Chapter 3: GenAI for Marketing Analysis
4Chapter 4: Integrating GenAI in Business Operations
5Chapter 5: Challenges and Ethical Considerations
6Chapter 6: Conclusion

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 00: Reading - Welcome to the Course: Course Overview

Segment 01: Overview

Segment 02: Prerequisites

Segment 03: Motivation

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 04: Sales Forecasting Concepts

Segment 05: Gen AI Sales Forecasting Demo

Segment 06: Discussing Implementation - Update

Segment 07: Sales Visualization - Update

Segment 08: Hands-On-Learning: Forecasting Future Revenue with GenAI

Segment 09: Reading - Sales Forecasting with AI: Tools, Prompts & Scenarios

Segment 10: Quiz - Leveraging GenAI for Predictive Sales

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 26: Data Privacy and Security

Segment 27: Bias and Fairness in AI Models - Update

Segment 28: Transparency and Accountability

Segment 29: Building Trust in AI Systems

Segment 30: Hands-On-Learning: Identifying and Mitigating Bias

Segment 31: Reading - Ethical Challenges of AI in Marketing

Segment 32: Quiz - Challenges and Ethical Considerations

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 11: Marketing Concepts

Segment 12: Campaign Optimization

Segment 13: Customer Sentiment

Segment 14: Hands-On-Learning: Customer Sentiment Analysis with GenAI

Segment 15: Customer Segmentation

Segment 16: Hands-On-Learning: Segmenting and Personalizing with GenAI

Segment 17: Reading - AI is Shaping the Future of Marketing

Segment 18: Quiz - GenAI for Marketing Analysis

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 19: Adopting AI

Segment 20: AI Case Study

Segment 21: Common Challenges

Segment 22: How to Scale

Segment 23: Hands-On-Learning: Designing an AI Use Case for Nautilus Co.

Segment 24: Reading - From Pilot to Scale: How Leading Companies Are Expanding Generative AI Use Responsibly

Segment 25: Quiz - Integrating GenAI in Business Operations

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 33: COURSE WRAP

Segment 34: Project: Navigating AI Strategy: Your Marketing Intelligence Brief

Christopher Klaus

Christopher Klaus

Navigating the intersection of data science, technology innovation, and leadership, Christopher has established a distinguished career spanning diverse sectors, including software, government, healthcare, education, and advertising. As a leader and innovator, Christopher is driven by a passion for solving complex challenges and leveraging technology to drive meaningful advancements. At the core of Christopher’s professional ethos is the commitment to unlocking potential—both in the technologies utilized and the teams led.

With expertise in data analytics, governance, engineering, and cloud technologies, Christopher has been at the forefront of deploying advanced solutions that foster strategic growth and operational excellence. Proficient in AWS, GCP, and Azure, and deeply engaged in AI and machine learning applications, Christopher consistently pioneers transformative projects that push the boundaries of technological innovation. Beyond technical achievements, Christopher cultivates environments where teams can thrive, fostering collaboration and continuous improvement.

Education and mentorship play a fundamental role in Christopher’s leadership philosophy. Through knowledge sharing, the development of educational programs, and contributions to scholarly publications, Christopher actively nurtures a culture of learning and innovation. Recognized through various honors and awards, Christopher’s contributions extend beyond personal milestones, shaping communities and setting new benchmarks in the tech industry. Each day presents an opportunity to inspire change, drive progress, and pave the way for future generations of innovators.

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