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LinkedIn | AI Orchestration: Planning and Orchestrating for Observability

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LinkedIn | AI Orchestration: Planning and Orchestrating for Observability (Size: 258.72 MB)
  1. Introduction
  1. AI orchestration for observability.mp4 3.93 MB
  2. What you should know.mp4 4.86 MB
  2. Understanding AI Observability
  1. What is AI observability.mp4 7.49 MB
  2. Goals of AI observability.mp4 10.91 MB
  3. Benefits of AI observability.mp4 5.97 MB
  4. The need for orchestration in observability.mp4 11.02 MB
  3. Observability in AI Application Layers
  1. Observing infrastructure.mp4 9.88 MB
  2. Observing models.mp4 10.24 MB
  3. Observing caches and vector databases.mp4 12.82 MB
  4. Observing orchestration frameworks.mp4 10.89 MB
  4. Planning for Observability
  1. Creating an observability strategy.mp4 8.4 MB
  2. Picking an orchestration framework.mp4 8.41 MB
  3. Defining what to observe.mp4 9.39 MB
  4. Picking an observability framework.mp4 12.23 MB
  5. Picking a visualization framework.mp4 6.85 MB
  5. Orchestrating for Observability
  1. Creating a simple orchestrated AI application.mp4 22.11 MB
  2. Instrumenting activity traces.mp4 43.34 MB
  3. Evaluating the model.mp4 14.55 MB
  4. Visualizing performance.mp4 42.96 MB
  6. Conclusion
  1. Next steps.mp4 2.47 MB
  Support - Onehack.Us.txt 94 B

Description


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LinkedIn Learning - AI Orchestration: Planning and Orchestrating for Observability

Course details
Designed for developers, data scientists, and AI operators, this course will equip you with the knowledge to create transparent and efficient AI systems. Full-stack developer Fikayo Adepoju introduces you to essential concepts of AI observability, including developing a strategy for implementation and learning to use the right tools for various AI applications. Build your hands-on understanding with practical demo projects. Learn key tasks like setting up monitoring for AI models, analyzing workflows, optimizing retrieval components, and managing infrastructure health. By understanding the inner workings of AI models and their interactions, you’ll significantly reduce the chances of bugs, biases, and performance bottlenecks. This course teaches you the skills you need to ensure your LLM-powered applications are well-monitored, high-performing entities.

What’s included
- Learn on the go

Instructor
Fikayo Adepoju is A full-stack developer with a passion for authoring technical content through writing and making instructional videos.

General Details:
Duration: 1h 53m
Released: 1/17/2025
Last Updated: No
Language: English
Source: https://www.linkedin.com/learning/ai-orchestration-planning-and-orchestrating-for-observability

MP4 | Video: h264, 1920x1080p | Audio: AAC, 44.100 Khz, 2 Ch | 20 lectures

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