Run Local LLMs with Ollama: From No-Code to Python Code

This course offers a comprehensive, hands-on journey into the world of running large language models locally using Ollama. Led by Kshitij Joy of Cloud Alchemy, the curriculum expertly bridges the gap between no-code accessibility and advanced Python programming. Students begin by exploring foundational AI concepts, deep learning, and neural networks, before diving deep into the specifics of Meta Llama 3.2 and 3.3. Through step-by-step demonstrations, learners set up Ollama across various environments, including Linux, Mac, and Docker, and master the Ollama CLI. The course transitions smoothly from no-code interfaces like OpenWebUI to practical developer workflows, demonstrating how to integrate local models with VSCode, Jupyter Notebooks, and Google Colab. Advanced topics such as multimodal image analysis, LangChain integrations, OpenAI-compatible APIs, structured outputs, and function calling are thoroughly covered. This course is ideal for software developers, privacy-conscious tech enthusiasts, and no-code builders who want to harness the power of state-of-the-art open-source LLMs locally on their own machines without relying on expensive cloud APIs.