What You Need to Know Before
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Starts 7 June 2025 10:45
Ends 7 June 2025
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Overview
Discover how AI transforms eLicensing and ePermitting systems, exploring technical architecture, data security, implementation strategies, and future developments for improved compliance and efficiency.
Syllabus
- Introduction to eLicensing and ePermitting
- AI Fundamentals for Licensing and Permitting
- Technical Architecture of AI-Integrated Systems
- Data Management in AI Systems
- Ensuring Data Security and Privacy
- AI Implementation Strategies
- Case Studies and Real-World Applications
- Evaluating and Measuring Success
- Future Trends and Innovations
- Course Review and Final Project
Overview of current systems
Challenges and limitations
Key AI concepts and technologies
Role of AI in process automation
Components of AI systems in eLicensing
Design patterns and system interoperability
Data collection and storage strategies
Integrating AI for data analysis
Best practices for data protection
Compliance with legal standards and regulations
Steps for successful AI integration
Change management and stakeholder engagement
Examples of successful AI implementation
Lessons learned and best practices
Key performance indicators (KPIs)
Tools for monitoring and feedback
Emerging technologies in AI for licensing
Predictions for future advancements
Recap of key concepts
Hands-on project for practical application
Subjects
Computer Science
