Ollama Course – Build AI Apps Locally

Learn how to set up and use Ollama to build powerful AI applications locally. This hands-on course covers pulling and customizing models, REST APIs, Python integrations, and real-world projects like a Grocery List Organizer, RAG System, and an AI Recruiter Agency. Perfect for developers and AI enthusiasts ready to bring their ideas to life with local LLMs. Don’t miss the exclusive BONUS project at the end!

Course developed by @vincibits

⭐️ Contents ⭐️
⌨️ (0:00:00) Intro
⌨️ (0:02:00) What Is this course about?
⌨️ (0:03:49) Course Prerequisites
⌨️ (0:05:28) Development Environment Setup
⌨️ (0:06:43) Ollama Deep Dive
⌨️ (0:13:08) Ollama Key Features
⌨️ (0:17:09) Ollama Setup
⌨️ (0:18:03) Download Ollama Locally
⌨️ (0:26:18) Ollama Models - How to Pull Different Ollama Models Locally
⌨️ (0:33:41) LLM Parameters Deep Dive
⌨️ (0:39:39) Understanding Model Benchmarks
⌨️ (0:42:56) Ollama Basic CLI Commands - Pull and Testing Models
⌨️ (0:47:09) Pull in the Llava Multimodal MOdel and Captioning an Image - Hands-on
⌨️ (0:52:13) Summarize and Sentiment Analysis and Customizing Models with the Modelfile
⌨️ (1:00:02) Ollama REST API
⌨️ (1:04:39) Ollama REST API - Request JSON
⌨️ (1:07:59) Ollama Models Support Different Tasks - Summary
⌨️ (1:08:40) Different Ways to Interact with Ollama Models - Overview
⌨️ (1:10:42) Ollama Model Running Under Msty App - Frontend Tool - RAG Hands-on
⌨️ (1:21:46) Introduction to Python Library for Building LLM Applications Locally
⌨️ (1:24:14) Interact with Llama3 in Python using Ollama REST API
⌨️ (1:29:29) Ollama Python Library Chatting with our Model
⌨️ (1:35:42) Chat Example with Streaming
⌨️ (1:37:15) Using Ollama Show Function
⌨️ (1:39:15) Create a Custom Model in Code
⌨️ (1:43:05) Build a Real-world Use case Application - Introduction
⌨️ (1:43:29) Build a LLM App - Grocery List Organizer
⌨️ (1:51:46) Building RAG Systems with Ollama - Overview of RAG Systems and Langchain Crash Course
⌨️ (1:59:24) Deep Dive into Vectorstore and Embeddings - the Whole Picture - Crash Course
⌨️ (2:05:33) Overview of Our PDF RAG System We will be Building
⌨️ (2:07:29) Set up our RAG System - Document Ingestion and Vector DB Creation and Embeddings
⌨️ (2:15:56) RAG System - Retrieval and Querying - Final
⌨️ (2:24:27) RAG System - Cleaner Code (Code Refactoring)
⌨️ (2:26:26) RAG System - Streamlit Version
⌨️ (2:28:00) BONUS for YOU!
⌨️ (2:28:33) Introduction to the Next Application - AI Recruiter Agency
⌨️ (2:29:18) Building the AI Recruiter Agency
⌨️ (2:56:13) Outro - Final Thoughts and Your Bonus - Thank you!

🎉 Thanks to our Champion and Sponsor supporters:
👾 Drake Milly
👾 Ulises Moralez
👾 Goddard Tan
👾 David MG
👾 Matthew Springman
👾 Claudio
👾 Oscar R.
👾 jedi-or-sith
👾 Nattira Maneerat
👾 Justin Hual

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[yosiasz]

knowing something is one thing, teaching in a manner that a new person can grasp things is another thing. very well done, amazing calm and paced presentation ! 1 hour in and already know which direction I need to go!

[debapriyapandit]

I am from India, a student of FCC, really delighted to learn about llms from people like you who teach us things in a very simple manner . Appreciate this btw.

[polygptman]

Thanks - eye opening regarding the ease of using local os models!

[gawni]

Paulo, thank you for the ASMR while I'm learning AI.

[alegntayeyilma]

❤ my first course that i finished! Never thought it is three hours long. Smooth voice.

[Marcos-htcs]

Amazing!!! Barry White voice helps a lot!

[Seleznyaka]

That is literally what i was thinking about! Thank you, gonna watch it later and try myself in my classroom with students

[hersogjan]

You are the greatest teacher . You are explaining very clearly

[DouglasVolcato]

Thanks! This is the best Ollama course I have found on the Internet.

[Prumzy]

Super excited seeing this. Can't wait to get started and implementing everything taught here

[salah-omgu]

First comment YEM,
When I finish AI assistante course I'll come back to watch this course, thanks FreeCodeCamp and lecturer❤❤

[NingXiong-eyel]

Great beginner course! So well structured and clear. Thank you for putting together this amazing course!

[nickg.c.]

Up untill rag it's great, after that point to install requirements you have to go to version 3.10 or 3.11 which means that if you are running recent versions you have to install another version of python, create a new virtual environment with the specific version specified, and then install the requirements. I would appreciate the heads up when we reached that point 😅.

[ajithdevadiga]

This is an Amazing deep dive to ollama,
thanks.

[TheRealmof_Truth]

What a delight of voice you have, it makes the course more pleasant

[TechJunction]

Wow this was just amazing! After a long time watched such a powerful learning video. Thank you Paulo!

[sankalpkpandey]

This was great, very helpful to understand on how to get going and build a rag.

[pierrezali]

Thank you. Very very informative. I didn't see the time go by.

[thelonelytravelerr]

This is what I wanted and waiting; thanks

[MylaSavannahHazel]

aitutorialmaker AI fixes this. Build AI apps with Ollama.