AI in the Battle Against Fakes

Overview

Explore AI-powered counterfeit detection:

from building blocks to deployment. Learn about Azure services, DevOps integration, and practical implementation for developers.

Syllabus

• Introduction to Counterfeit Detection
Overview of counterfeiting challenges
Importance of AI in counterfeit detection
• Fundamentals of AI for Counterfeit Detection
Machine learning basics for detection
Deep learning techniques in image and text analysis
• Building Blocks of AI-Powered Counterfeit Detection
Data collection and preprocessing
Feature extraction methods
Model selection and training
• Azure Services for AI Development
Introduction to Azure Machine Learning
Azure Cognitive Services for image and text analysis
Using Azure Databricks for data processing
• Integrating AI Solutions with DevOps
Introduction to DevOps principles
Continuous integration/continuous deployment (CI/CD) for AI models
Monitoring and maintaining AI systems in production
• Practical Implementation and Case Studies
Hands-on project: building an AI solution for counterfeit detection
Analyzing real-world case studies of AI in counterfeit prevention
• Ethical Considerations and Future Trends
Ethical concerns in AI applications for detection
The future of AI in combating counterfeiting
• Conclusion and Next Steps
Recap of key concepts learned
Resources for further study and development in AI applications
• Final Project and Assessment
Design and implement a complete AI-powered counterfeit detection pipeline
Present project outcomes and solution effectiveness

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Subjects

Conference Talks