Скачать или смотреть Optimize AI Applications: Cost Reduction, Performance Tuning, Security & 2025 AI Trends

Optimize AI Applications: Cost Reduction, Performance Tuning, Security & 2025 AI Trends"
Module Description:
Elevate your AI applications to production excellence and prepare for the future.

WHAT YOU'LL LEARN IN THIS MODULE:
✅ Cost Optimization
Local vs cloud comparison
Hardware ROI calculation
Token economy
Caching strategies
Batch processing
Model quantization benefits
Cost per use case

✅ Performance Optimization
Latency reduction techniques
Throughput maximization
Model quantization deep dive
Batch request processing
Smart caching implementation
Retrieval optimization
60x speed improvements

✅ Security & Privacy
Data privacy strategies
Prompt injection defense
Access control implementation
Token management
Content moderation
GDPR/CCPA compliance
Audit logging
Threat detection

✅ Monitoring & Observability
Key metrics to track
LangSmith integration
Prometheus & Grafana setup
Distributed tracing
Alert configuration
Performance dashboards
Cost tracking

✅ Future Trends 2025-2026
Multimodal models arriving
Agentic workflows evolution
Faster inference techniques
Mixture of Experts dominance
On-device AI revolution
Better RAG systems
What's coming next

✅ Continuous Learning
Staying updated
Resources and communities
Contributing to open source
Networking strategies

Become a production-grade AI engineer.

Duration: ~10 minutes
Difficulty: Advanced