Developing with gpt-oss Models
35mGeneral2025-10-10
Authors
Ronnie Sheer
Software Developer and Instructor
Course details
Stop sharing your data. Build and run powerful AI models on your own hardware using OpenAI's gpt-oss, Ollama, and LM Studio.
Gain complete control over your processing and security with open-weights models.
You will learn to set up gpt-oss locally, integrate it with VS Code for AI-accelerated coding, and implement a foundational Retrieval-Augmented Generation (RAG) system for custom, local knowledge. Build truly private AI solutions.
Learning objectives
Set up and use gpt-oss locally.
Link gpt-oss to VS Code for AI-powered coding.
Implement a simple RAG system with gpt-oss.
Gain complete control over your processing and security with open-weights models.
You will learn to set up gpt-oss locally, integrate it with VS Code for AI-accelerated coding, and implement a foundational Retrieval-Augmented Generation (RAG) system for custom, local knowledge. Build truly private AI solutions.
Learning objectives
Set up and use gpt-oss locally.
Link gpt-oss to VS Code for AI-powered coding.
Implement a simple RAG system with gpt-oss.
Concepts
Introduction
- The power of open-weight frontier models
Creating a Workspace
- Setting up local AI
- Navigating Ollama and LM Studio
- OpenAI gpt-oss via Ollama CLI
Coding and Advanced Use
- Coding with Ollama and OpenAI SDK basics
- Advanced Ollama and LM Studio UI features
- Vibe coding with gpt-oss and continue
RAG Implementation
- Simple Retrieval-Augmented Generation (RAG)
Next Steps
- Continue your learning
Related courses
Related learn paths
- Develop Your Skills with Large Language Models
- Build AI Products Using Azure AI Services in Your Development Lifecycle
- Developing AI Skills in Human Resources
- Manage Your LLMs with LLMOps
- Technical Literacy and Future Readiness for Aspiring Managers
- Understanding Generative AI for Tech Leaders
- AI Essentials for Project Managers
- Become a Java EE 7 Developer