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