Description
Mastering LLMs Locally using Ollama | Hands-On is a course on harnessing the power of large language models (LLMs) directly on your local devices, published by Udemy Online Academy. This is a hands-on course designed for developers and AI enthusiasts who want to harness the power of large language models (LLMs) directly on their local devices. The course introduces Ollama as a lightweight yet powerful framework for running, fine-tuning, and customizing LLMs without relying on cloud infrastructure. With a focus on hands-on learning, the course guides individuals through the steps of installation, model configuration, optimization, and integration into real-world applications, giving them the skills to work independently with AI models while maintaining privacy and control.
Large Language Models (LLMs) are at the core of today’s AI revolution, powering chatbots, automation systems, and intelligent applications. However, deploying and customizing them often seems complex and cloud-dependent. Ulama changes this by making it easy to run, manage, and fine-tune LLMs locally on your device. This course is designed for developers, AI enthusiasts, and professionals who want to master LLMs on their own hardware/laptop using Ulama. You’ll learn everything from setting up your environment to building custom AI models, fine-tuning them, and integrating them into real-world applications, without relying on expensive cloud infrastructure.
What you will learn in Mastering LLMs Locally using Ollama | Hands-On:
- Basics of LLMs and Ollama
- Using the Ollama command line and desktop interface
- Running open LLMs like Gemma 3, Llama3
- Registering a model in Ollama to provide custom models
- Token count, text length and fine-tuning with your own dataset
- Ollama with REST API, Ollama-python library, Ollama integration with Python and Streamlit
- Model fine-tuning with live view
- Building a local RAG application
- And…
Course specifications
Publisher: Udemy
Instructors: Yogesh Raheja
Language: English
Level: Introductory to Advanced
Number of Lessons: 35
Duration: 2 hours and 11 minutes
Course topics
Mastering LLMs Locally using Ollama | Hands-On Prerequisites
Basic knowledge of Python
Familiarity with AI/ML concepts and LLMs
Interest in working with open-source tools for local AI deployment
Pictures
Mastering LLMs Locally using Ollama | Hands-On introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 720p
Download link
File password (s): www.downloadly.ir
Size
816 MB
