Program Description
The Online Local AI Agent Development Course provides practical training on building a fully self-hosted, offline artificial intelligence agent within a local area network. Designed for software developers, IT administrators, and technical enthusiasts, the curriculum focuses on deploying local large language models without relying on third-party cloud infrastructure or external internet access.
The course curriculum is divided into three comprehensive technical modules. Participants learn how to select and assemble server hardware, configure Ubuntu 22.04 LTS, install NVIDIA GPU drivers, configure CUDA, and set up Samba network shares. The program further details model management through Ollama, backend development with Python and FastAPI, document text extraction for PDF, TXT, and CSV formats, and frontend user interface implementation with drag-and-drop chat functionality.
Instruction is delivered through 31 step-by-step video lessons designed for practical implementation at the learner's own pace. The training culminates in configuring the completed AI agent as a persistent systemd background service, establishing an automated and private artificial intelligence setup on a local workstation or dedicated home server.
About the Instructor
Application Details
This program is open to all learners without specific prerequisites. Enrollment is available directly through the institution's website.
No formal application is needed. Use the link to the program details to enroll directly with Gerald Neissl NeiFlex: fill in the short enrollment form and pay the fees, and you are enrolled.
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