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Build AI Applications: Complete Architecture, Use Cases, Code Examples & Production Deployment"
Module Description:
Bring it all together. Learn how professional applications integrate all layers seamlessly.

WHAT YOU'LL LEARN IN THIS MODULE:
✅ Complete Architecture
How all 8 layers work together
Data flow visualization
Component interactions
System design patterns
Scaling considerations

✅ Real-World Use Cases
Chatbots and assistants
Document analysis systems
Code assistants
Content generation pipelines
Semantic search engines
Research assistants

✅ Code Implementation
Quick start guide (20 minutes)
Minimal RAG example
Full application template
Error handling
Testing strategies
Logging and monitoring

✅ Deployment Strategies
Local development setup
Docker containerization
Kubernetes orchestration
Cloud deployment
Multi-region setup
Zero-downtime updates

✅ Best Practices
Starting simple
Monitoring everything
Implementing guardrails
Rigorous testing
Caching strategies
Gradual scaling

✅ Common Pitfalls & Solutions
Context window management
Prompt engineering mistakes
Chunking strategies
Embedding model selection
Cost overruns
Performance bottlenecks

Learn from battle-tested production applications.

Duration: ~10 minutes
Difficulty: Intermediate to Advanced