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Add Learning Path for CPU-orchestrated local AI agent#3455

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jaidev17 wants to merge 5 commits into
ArmDeveloperEcosystem:mainfrom
jaidev17:ai-agent-cpu-orchestration
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Add Learning Path for CPU-orchestrated local AI agent#3455
jaidev17 wants to merge 5 commits into
ArmDeveloperEcosystem:mainfrom
jaidev17:ai-agent-cpu-orchestration

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Adds a new Learning Path showing how to build and run a local AI concierge agent with Ollama, Gemma model, Serper search API, and Python on Arm hardware.

Includes:
Step-by-step setup and Ollama model instructions
Python agent sample with CPU/GPU timing instrumentation
Run examples, screenshots, and timeline output
CPU orchestration explanation for agentic workflows
Contributor metadata update

Before submitting a pull request for a new Learning Path, please review Create a Learning Path

  • I have reviewed Create a Learning Path

Please do not include any confidential information in your contribution. This includes confidential microarchitecture details and unannounced product information.

  • I have checked my contribution for confidential information

By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of the Creative Commons Attribution 4.0 International License.

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