Udemy - LLM Observability and Cost Management - Langfuse, Monitor...
- Category Other
- Type Tutorials
- Language English
- Total size 1.8 GB
- Uploaded By freecoursewb
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- Last checked 1 week ago
- Date uploaded 2 weeks ago
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Infohash : FC261CBB3AE21B232309DD5E3FB2992AE7DC74D6
LLM Observability and Cost Management: Langfuse, Monitoring
https://WebToolTip.com
Published 1/2026
Created by Paulo Dichone | Software Engineer, AWS Cloud Practitioner & Instructor
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 28 Lectures ( 2h 35m ) | Size: 1.77 GB
Production-Ready LLM Monitoring with Langfuse, Cost Optimization, Tracing, Alerting & Real-World Debugging Patterns
What you'll learn
✓ Implement production-grade LLM observability using Langfuse and understand tracing concepts
✓ Reduce LLM API costs by 50-80% using semantic caching, model routing, and prompt optimization
✓ Debug LLM applications in minutes using traces, spans, and proper instrumentation patterns
✓ Set up cost alerts and monitoring dashboards that catch budget issues before they escalate
✓ Build production-ready code patterns for token tracking, cost calculation, and PII redaction
Requirements
● Basic Python programming skills (variables, functions, classes)
● Familiarity with LLM APIs (OpenAI, Anthropic, or similar) - you should have made at least a few API calls before
● A code editor (VS Code recommended) and Python 3.9+ installed
Files:
[ WebToolTip.com ] Udemy - LLM Observability and Cost Management - Langfuse, Monitoring- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - Introduction
- 1. Introduction.mp4 (19.2 MB)
- 2. Get Course Code.html (5.7 KB)
- 1. Section 2 Business Case for LLM Observability (Description).html (0.9 KB)
- 1. Section 2 Business Case for LLM Observability.html (16.4 KB)
- 3. Observability and Cost Management - Overview.mp4 (11.2 MB)
- 4. The Hidden Costs of LLM Applications.mp4 (9.6 MB)
- 5. Traditional vs LLM Observability.mp4 (9.0 MB)
- 6. The Three Pillars for LLMs.mp4 (6.7 MB)
- 7. ROI Calculator - Making the Business Case.mp4 (12.5 MB)
- 10. The Hidden Cost Multiplier.mp4 (27.1 MB)
- 2. Section 3 Understanding LLM Costs (Description).html (0.8 KB)
- 2. Section 3 Understanding LLM Costs.html (18.4 KB)
- 8. Understanding LLM Costs.mp4 (131.9 MB)
- 9. Where Costs Hide - RAG and Agent Pipeline.mp4 (23.0 MB)
- 11. Observability Platform Selection.mp4 (15.2 MB)
- 12. Setting Up Langfuse.mp4 (65.2 MB)
- 13. Setting up Langfuse and Creating First Trace.mp4 (52.5 MB)
- 13. langf-obs py.py (0.6 KB)
- 14. Langfuse Data Model.mp4 (42.3 MB)
- 15. Hands-on First LLM Trace - Deep Dive.mp4 (53.2 MB)
- 15. first-trace-llm py.py (0.5 KB)
- 16. Langfuse API Levels - Code Demonstrations.mp4 (116.1 MB)
- 16. decorator-trace-llm py.py (1.7 KB)
- 3. Section 4 Observability Platform Selection - Langfuse and Hands-on.html (18.2 KB)
- 17. Production Instrumented LLM Use Case - Hands-on.mp4 (220.2 MB)
- 17. instrumented-llm py.py (5.2 KB)
- 18. Instrumenting a Multi-Step RAG Pipeline - Langfuse Observability - Full Handson.mp4 (406.0 MB)
- 18. rag-pipeline-obs py.py (7.1 KB)
- 19. Framework Integration LangChain.mp4 (159.2 MB)
- 19. instrumentation-langchain py.py (0.9 KB)
- 20. Cost Optimization Strategies - Overview.mp4 (32.6 MB)
- 21. Prompt Optimization - Handson.mp4 (23.5 MB)
- 21. prompt-optimazation py.py (0.9 KB)
- 22. Semantic Caching.mp4 (129.2 MB)
- 22. semantic-cache py.py (9.3 KB)
- 23. Smart Model Routing.mp4 (86.0 MB)
- 23. model-routing py.py (4.4 KB)
- 24. Cost Optimization Summary.mp4 (7.4 MB)
- 25. A-webhook-site-for-simulation.url (0.0 KB)
- 25. Setting up Alerts that Matter.mp4 (70.6 MB)
- 25. alert-webhook py.py (1.9 KB)
- 26. Security and Compliance Patterns.mp4 (66.4 MB)
- 26. pii-redaction py.py (2.7 KB)
- 27. Production Patterns Implementations - Real-world.mp4 (4.8 MB)
- 28. Course Recap and Next Steps.mp4 (9.5 MB)
- Bonus Resources.txt (0.1 KB)
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