localaimaster.com valid

Local AI Master

Courses and guides for running AI on hardware you own: 25 hands-on courses (561 chapters) on local LLMs, RAG, agents, fine-tuning, speech and deployment with Ollama, vLLM and open models, plus an in-browser Python Lab. Guides are free to read with no account. The first chapter of every course is free with a free account (no card). Full access is Pro at $8.99/month (cancel any time) or Lifetime at $149 paid once, which includes every future course. All sales are final.

For agents: Local AI Master: 25 courses (561 chapters) on running local LLMs, RAG, agents and fine-tuning with Ollama and vLLM; free guides, Pro subscription or lifetime pu

local llmollamaragai coursesfine-tuning

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T03:32:15.250Z. Cached copy · Source on localaimaster.com

# Local AI Master

> Courses and guides for running AI on hardware you own: 25 hands-on courses (561 chapters) on local LLMs, RAG, agents, fine-tuning, speech and deployment with Ollama, vLLM and open models, plus an in-browser Python Lab. Guides are free to read with no account. The first chapter of every course is free with a free account (no card). Full access is Pro at $8.99/month (cancel any time) or Lifetime at $149 paid once, which includes every future course. All sales are final.

## Courses (public descriptions, syllabus and pricing — no login needed)
- [What is AI](https://localaimaster.com/courses/browse/what-is-ai): A foundations course that explains what artificial intelligence is at a mechanical level, from pattern recognition and tokenization through attention, training and fine-tuning, for someone starting with no machine learni (142 chapters, about 45 hours)
- [AI: Beginning to Advanced](https://localaimaster.com/courses/browse/ai-beginning-to-advanced): A deep learning course that starts by building a neuron and an autograd engine by hand, then works forward through the architecture families, GPU behavior, and the systems work required to keep a trained model running. (39 chapters, about 30 hours)
- [Natural Language Processing](https://localaimaster.com/courses/browse/nlp): A working course in natural language processing that treats text as an engineering problem rather than a prompting exercise, covering tokenization, embeddings, sequence labeling, retrieval, generation and the evaluation  (14 chapters, about 14 hours)
- [Computer Vision](https://localaimaster.com/courses/browse/computer-vision): A computer vision course that starts by building a convolutional network from first principles and ends with detection, segmentation, video, 3D and vision-language systems running on constrained hardware, with a heavy em (13 chapters, about 13 hours)
- [RAG Systems](https://localaimaster.com/courses/browse/rag-system): A hands-on course on retrieval-augmented generation for developers who need a language model to answer accurately from a private corpus: how to ingest and chunk documents, choose and operate embeddings and a vector store (11 chapters, about 12 hours)
- [Agentic AI](https://localaimaster.com/courses/browse/agentic-ai): A design-and-build course on autonomous AI agents: how the agent loop actually works, how to specify tools a model can use without supervision, which planning and reasoning patterns hold up, how memory and state are mana (10 chapters, about 11 hours)
- [Multimodal AI Systems](https://localaimaster.com/courses/browse/multimodal-ai): An architecture-first course on multimodal systems that works through the actual designs used to connect perception to language — the projector, the Q-Former, cross-attention resamplers, natively multimodal training, and (8 chapters, about 9 hours)
- [MLOps](https://localaimaster.com/courses/browse/mlops): A practical course on the engineering discipline that keeps machine lear
…

Related sites

Other listed sites in AI and machine learning. See the whole category →

Machine-readable: GET /v1/resolve?q=localaimaster.com · GET /v1/domain/localaimaster.com · this page as Accept: application/json or text/markdown · MCP lookup_domain

Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.

Claim my listing on Agent Web Map for localaimaster.com:
1. POST https://agentwebmap.com/v1/sites/localaimaster.com/claims and keep claim_id and claim_secret private.
2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://localaimaster.com/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/localaimaster.com/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/localaimaster.com).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verify

Corrections or removal requests: contact the directory.