Udemy – Mastering Ollama: Build Private Local LLM Apps with Python 2024-11

Description

Ollama Mastering course: Build Private Local LLM Apps with Python. This course empowers you to run powerful AI models directly on your system, ensuring complete data privacy and eliminating the need for expensive cloud services. By learning to deploy and customize local LLM models with Ollama, you’ll have full control over your data and applications and avoid the ongoing costs and potential risks of cloud-based solutions. This hands-on course will take you from beginner to expert in using Ollama, a platform designed to run local LLM models. You’ll learn how to initialize and customize models, create a ChatGPT-like user interface, and build private applications using Python—all from the comfort of your own system.

What you will learn in this course

• Install and configure Ollama on your local system to run large language models privately.
• Customize LLM models for specific needs using Ollama command line options and tools.
• Execution of all necessary terminal commands to control, monitor and troubleshoot Ollama models.
• Set up and manage a ChatGPT-like user interface that allows you to interact with models locally.
• Use different types of models—including textual, visual, and code-generating models—for different applications.
• Create custom LLM models from a Modelfile and integrate them into your applications.
• Build Python programs that communicate with Ollama models using its native library and OpenAI API compatibility.
• Development of Recovery Augmented Generation (RAG) applications by integrating Ollama models with LangChain.
• Implement tools and call functions to improve model interactions for advanced workflows.
• Launching a user-friendly front-end interface to allow users to interact and chat with various Ollama models.

This course is suitable for people who

• Python developers who want to expand their skill set by integrating Large Language Models (LLM) into their applications.
• AI enthusiasts and professionals interested in running and customizing LLMs locally without relying on cloud services.
• Data scientists and machine learning engineers who want to understand and implement local AI models using Ollama and LangChain.
• Software engineers looking to develop secure AI applications on their own systems and have full control over data and infrastructure.
• Students and researchers exploring the capabilities of local LLMs and seeking hands-on experience with advanced AI technologies.
• Professionals who are concerned about data privacy and need to process sensitive information without sending data to external servers or cloud platforms.
• Anyone interested in building ChatGPT-like apps locally and wants to gain hands-on experience through real-world projects.
• Beginners in LLM and Ollama who have basic knowledge of Python and are eager to learn about AI application development.

Details of Mastering Ollama course: Build Private Local LLM Apps with Python

• Publisher:  Udemy
• Lecturer:  Paulo Dichone Software Engineer, AWS Cloud Practitioner & Instructor
• Training level: beginner to advanced
• Training duration: 3 hours and 21 minutes
• Number of courses: 46

Course topics 

Mastering Ollama course prerequisites: Build Private Local LLM Apps with Python

• Basic Python Programming Knowledge
• Comfort with Command Line Interface (CLI)

Course images

Sample video of the course

download link

Download Part 1 – 1 GB

Download Part 2 – 131 MB

File size

1.13 GB