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
Taught by
Tags
On-Demand
