Computer Vision Basics

This course equips you with the foundational knowledge of Computer Vision (CV), a rapidly evolving field of AI that empowers machines to extract meaning from visual data. You'll explore core CV concepts, algorithms, and their applications for Marketing, Pricing Strategy, and Sales Management. The course will cover techniques for analyzing images and videos, unlocking valuable insights from visual content to optimize marketing campaigns, personalize customer experiences, and improve sales effectiveness. 

• Define Computer Vision and its potential applications in Marketing, Pricing Strategy, and Sales Management.

• Understand the core concepts of image processing and feature extraction in computer vision tasks.

• Explore popular computer vision algorithms like image classification and object detection for analyzing marketing visuals (e.g., product images, customer behavior in stores).

• Identify real-world applications of CV in Marketing, Pricing, and Sales (e.g., automated image tagging for product categorization, analyzing customer engagement with visual content).

• Analyze the potential of CV for future advancements in AI-powered marketing strategies.

1. Unveiling the Power of Computer Vision

• Introduction to Computer Vision: Understanding the core concepts and its capabilities for extracting insights from visual data in marketing contexts.

• Demystifying Image Processing and Feature Extraction: Exploring foundational techniques for preparing images for analysis by computer vision algorithms.

• Deep dive into Image Classification & Object Detection: Understanding how CV models can categorize images and identify objects within them (e.g., identifying product categories in marketing materials).

• Hands-on Exercises (Optional): Utilizing online tools or simplified code examples to explore basic CV functionalities (e.g., image classification of product images).

• Case Studies: Examining how companies leverage CV for tasks like automated ad image analysis, optimizing product placement based on customer behavior in stores, or analyzing customer engagement with visual content on social media platforms.

2. CV Applications in Marketing, Pricing & Sales

• Exploring Applications in Marketing: Utilizing CV for tasks like product image tagging and categorization, analyzing customer demographics in store locations through video analysis, and optimizing visual content for marketing campaigns.

• Unveiling the Potential for Sales: Exploring applications of CV in sales, such as lead qualification through facial expression analysis or analyzing product placement effectiveness in retail stores.

• The Future of CV in Marketing & Sales: Discussing emerging trends like visual search applications and their potential impact on customer buying journeys.

• Course Wrap-up: Addressing limitations of CV models, potential biases in image data, and best practices for responsible AI implementation in marketing, pricing, and sales.

• Strong understanding of linear algebra and calculus

• Proficiency in programming with Python and libraries such as NumPy and Matplotlib

• Familiarity with basic machine learning concepts and techniques