TGx:LinkedIn Learning | AI Orchestration: Planning and Orchestrating for Observability

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LinkedIn Learning | AI Orchestration: Planning and Orchestrating for Observability

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Other > Training

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English

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258.72 MB

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b62ee0a28b1bd00e9b22a276dd6a868aa4df7855

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Prom3th3uS :_verified_uploader:

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22-02-2025 23:36

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File	Size
1. Introduction/1. AI orchestration for observability.mp4	3.93 MB
1. Introduction/2. What you should know.mp4	4.86 MB
2. Understanding AI Observability/1. What is AI observability.mp4	7.49 MB
2. Understanding AI Observability/2. Goals of AI observability.mp4	10.91 MB
2. Understanding AI Observability/3. Benefits of AI observability.mp4	5.97 MB
2. Understanding AI Observability/4. The need for orchestration in observability.mp4	11.02 MB
3. Observability in AI Application Layers/1. Observing infrastructure.mp4	9.88 MB
3. Observability in AI Application Layers/2. Observing models.mp4	10.24 MB
3. Observability in AI Application Layers/3. Observing caches and vector databases.mp4	12.82 MB
3. Observability in AI Application Layers/4. Observing orchestration frameworks.mp4	10.89 MB
4. Planning for Observability/1. Creating an observability strategy.mp4	8.40 MB
4. Planning for Observability/2. Picking an orchestration framework.mp4	8.41 MB
4. Planning for Observability/3. Defining what to observe.mp4	9.39 MB
4. Planning for Observability/4. Picking an observability framework.mp4	12.23 MB
4. Planning for Observability/5. Picking a visualization framework.mp4	6.85 MB
5. Orchestrating for Observability/1. Creating a simple orchestrated AI application.mp4	22.11 MB
5. Orchestrating for Observability/2. Instrumenting activity traces.mp4	43.34 MB
5. Orchestrating for Observability/3. Evaluating the model.mp4	14.55 MB
5. Orchestrating for Observability/4. Visualizing performance.mp4	42.96 MB
6. Conclusion/1. Next steps.mp4	2.47 MB
Support - Onehack.Us.txt	94.00 B

Description

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