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Video course · 15 chapters · 177 min · certificate

Ollama Course – Build AI Apps Locally

Build AI apps locally with Ollama: setup, key features, pulling models, parameters and benchmarks, CLI commands and LLaVA multimodal, Modelfiles, the REST API, Msty with RAG, the Python library and streaming, custom models, RAG with LangChain and a vector DB, a Streamlit UI and an AI recruiter agency.

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What you'll learn

  • Install and use Ollama locally
  • Pull and compare models
  • Customise models with a Modelfile
  • Use the Ollama REST API and Python library
  • Build a local RAG system
  • Build a multi-agent app

Chapters

15 chapters · 177:24
  1. 6:43 01Intro Free preview Intro, prerequisites and setup Local LLMs.
  2. 11:20 02Features Members Ollama deep dive Why Ollama.
  3. 8:15 03Install Members Download Ollama Moving target.
  4. 13:21 04Models Members Pulling models and parameters Model library.
  5. 12:34 05CLI Members Benchmarks, CLI and LLaVA Test models.
  6. 7:49 06Modelfile Members Tasks and the Modelfile Customise models.
  7. 10:40 07REST Members Ollama REST API Backend API.
  8. 11:04 08Msty Members Msty frontend and RAG Frontend tool.
  9. 13:56 09Python Members Python library Build apps.
  10. 16:04 10Streaming Members Streaming, show and custom models Real use case.
  11. 15:43 11RAG Members RAG overview and LangChain Concepts.
  12. 8:27 12Ingest Members RAG ingestion and vector DB PDF to vectors.
  13. 13:22 13Retrieval Members RAG retrieval, refactor and Streamlit Finish RAG.
  14. 26:55 14Agents Members AI recruiter agency Multi-agent app.
  15. 1:11 15Wrap-up Members Outro and bonus Thank you.

Jobs this course suits

Our AI checked this course against 500 jobs; these get the most out of it. Each job links to its learning path.

Software DevelopersSoftware EngineersAI Engineers