Harnessing Ollama – Create Local LLMs with Python
$49
ENROLL NOWCourse Overview
What You'll Learn
- A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.
- In this course, you will learn how to create local language models using Ollama and Python.
- By the end, you will be equipped with the tools to build LLM-based applications for real-world use cases.
Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you will learn how to create local language models using Ollama and Python. By the end, you will be equipped with the tools to build LLM-based applications for real-world use cases. The course introduces Ollama's powerful features, installation, and setup, followed by a hands-on guide to exploring and utilizing Ollama models through Python. You'll dive into topics such as REST APIs, the Python library for Ollama, and how to customize and interact with models effectively. You'll begin by setting up your development environment, followed by an introduction to Ollama, its key features, and system requirements. After grasping the fundamentals, you'll start working with Ollama CLI commands and explore the REST API for interacting with models. The course provides practical exercises such as pulling and testing models, customizing them, and using various endpoints for tasks like sentiment analysis and summarization. The journey continues as you dive into Python integration, using the Ollama Python library to build LLM-based applications. You'll explore advanced features like working with multimodal models, creating custom models, and using the show function to stream chat interactions. Then, you'll develop full-fledged applications, such as a grocery list categorizer and a RAG system, exploring vector stores, embeddings, and more. This course is ideal for those looking to build advanced LLM applications using Ollama and Python. If you have a background in Python programming and want to create sophisticated language-based applications, this course will help you achieve that goal. Expect a hands-on learning experience with the opportunity to work on several projects using the Ollama framework.
Course FAQs
Is this an accredited online course?
Accreditation for 'Harnessing Ollama – Create Local LLMs with Python' is determined by the provider, Packt. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.
Can this course be used for continuing education credits?
Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.
How do I enroll in this online school program?
To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Harnessing Ollama – Create Local LLMs with Python' on the Packt online class platform, where you can complete your registration.
