1
Data Classification & Sanitization
Understand what data can and cannot be sent to Claude — PII, secrets, proprietary code, HIPAA data. Build production data sanitization pipelines.
Start lessonSecurity, Compliance & Safety
Implement production-grade security patterns — data protection, audit trails, compliance frameworks, and alignment safety for enterprise deployments.
Lessons in this module
Follow the lessons sequentially for best understanding
2
Audit Trail Implementation
Implement comprehensive audit logging for LLM interactions — what to log, storage requirements, retention policies, and search and analysis patterns.
Start lesson3
Compliance Frameworks for LLM Deployment
Navigate GDPR, SOC 2, and HIPAA compliance when deploying Claude — data residency, processor agreements, risk assessments, and practical controls.
Start lesson4
Safety & Alignment Properties
Understand Opus 4.6's safety properties — system cards, alignment testing, misalignment rates, Constitutional AI improvements, and building trust in AI outputs.
Start lessonKey skills
What you'll master in this module
Practical knowledge
Gain practical experience you can apply immediately
Expertise
Develop deeper domain expertise
Communication
Learn to communicate your knowledge effectively
Documentation
Create your own notes and documentation
Problem analysis
Learn systematic approaches to complex problems
Optimization
Optimize for performance and efficiency
Tips for success
How to get the most out of this module
1
Proceed step by step
Don't move on until you fully understand the previous lesson
2
Practice regularly
Spend daily time on the practical lesson exercises
3
Take notes
Write down key insights and your own thoughts
4
Ask questions
If something is unclear, ask the community for help
5
Test knowledge
Validate learning with exercises and quizzes
6
Share insights
Teach concepts to others to reinforce retention