Harnessing Ollama – Create Local LLMs with Python

Overview

Join our course to master the art of creating local language models utilizing Ollama and Python. Designed for Python enthusiasts aiming to build real-world LLM applications, this course offers a comprehensive overview of Ollama's powerful offerings.

Kickstart your journey by setting up your development environment, learning the essentials of Ollama, including its installation and system requirements.

Progress to mastering Ollama CLI commands and leveraging the REST API for seamless model interaction.

Engage in practical exercises like pulling, testing, and customizing models for specific tasks such as sentiment analysis and summarization, ensuring a robust understanding of the Ollama framework.

The curriculum further delves into integrating Python with Ollama, teaching you to build sophisticated LLM applications. Explore advanced topics like multimodal models, streaming chat interactions with the show function, and more.

Take your skills to the next level by developing complete applications, such as a grocery list categorizer or a RAG system, delving into vector stores and embeddings.

This course is perfect for anyone with a Python background eager to create sophisticated language-based applications.

Experience a hands-on learning approach with real-world projects, helping you harness the full potential of Ollama and Python.

Subjects