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Track 9
9. Production Deployment Patterns
0 / 20 lessons
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1
Rate Limiting & Throttle Prompts
Design prompts that work within API rate limits and retry policies.
Expert
2
Prompt Localization & i18n
Adapt prompts for multilingual and multicultural deployments.
Expert
3
A/B Testing Prompt Variants
Systematically compare prompt variations using statistical significance tests.
Expert
4
Chain-of-Density Summarization
Progressively increase information density in summaries through iterative refinement.
Expert
5
Skeleton-of-Thought Prompting
Generate response outlines first, then fill in details for faster structured outputs.
Expert
6
Prompt Security Auditing
Systematically test prompts for injection vulnerabilities and data leakage.
Expert
7
LLM-as-Judge Evaluation
Use language models to evaluate the quality of other model outputs.
Expert
8
Retrieval-Augmented Generation (RAG)
Ground model responses in retrieved documents to reduce hallucination.
Expert
9
Step-Back Prompting
Ask the model to identify high-level principles before solving specific problems.
Expert
10
Emotional Tone Calibration
Fine-tune the emotional register of responses for different audience contexts.
Expert
11
Prompt Pipeline Orchestration
Coordinate multi-step prompt chains with dependency management.
Expert
12
Prompt Observability & Logging
Monitor prompt performance with structured telemetry and trace logs.
Expert
13
Blue-Green Prompt Deployments
Deploy new prompts safely with zero-downtime switching strategies.
Expert
14
Canary Prompt Releases
Gradually roll out prompt changes to increasing percentages of users.
Expert
15
Prompt Feature Flags
Toggle prompt behaviors on and off without code deployments.
Expert
16
Prompt Cost Allocation
Track and attribute API costs to specific features, users, and teams.
Expert
17
Prompt Compliance & Governance
Ensure prompts meet regulatory, legal, and organizational standards.
Expert
18
Prompt Performance Benchmarking
Establish baseline performance metrics for systematic prompt comparison.
Expert
19
Prompt Dependency Management
Track and manage dependencies between prompts, models, and data sources.
Expert
20
Prompt Disaster Recovery
Plan and test recovery procedures for prompt pipeline failures.
Expert
9. Production Deployment Patterns