Udemy – Zero to Hero in Ollama: Create Local LLM Applications 2024-10

Description

Zero to Hero course in Ollama: Create Local LLM Applications. Are you looking to build and run customized Large Language Models (LLM) directly on your system, without depending on cloud solutions? Do you want to maintain your privacy while using powerful models like ChatGPT? If you are a developer, data scientist or AI enthusiast who wants to build native LLM applications, this course is for you! This hands-on course will take you from beginner to expert in using Ollama, a platform designed to run local LLM models. You will learn how to initialize and customize models, create a ChatGPT-like user interface, and build private applications using Python.

What you will learn

• 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 using Open WebUI, which allows you to interact with models locally
• Deploy Docker and Open WebUI to run, customize and share LLM models in a private environment
• Use different types of models, including textual, visual, and code generation models, for different applications
• Create custom LLM models from a gguf file and integrate them into your applications
• Building Python applications that interface with Ollama models using its native library and OpenAI API compatibility
• Development of a RAG (Retrieval-Augmented Generation) application by integrating Ollama models with LangChain
• Implement tools and agents to improve model interactions in both Open WebUI and LangChain environments for advanced workflows.

This course is suitable for people who

• AI enthusiasts who want to build and run custom LLM models privately on their local systems.
• Python developers looking to integrate large language models into native applications to increase performance.
• Data scientists who aim to create secure and private LLM-based tools without relying on cloud-based solutions.
• Machine learning engineers looking to explore and customize open source models using Ollama and LangChain.
• Technology professionals who want to develop RAG (Retrieval-Augmented Generation) applications using local data.
• Privacy-conscious developers interested in running AI models with full control over data and environment.

Profile of Zero to Hero in Ollama: Create Local LLM Applications course

• Publisher:  Udemy
• Instructor:  Start-Tech Academy
• Training level: beginner to advanced
• Training duration: 3 hours and 4 minutes
• Number of courses: 26

Course headings

Zero to Hero in Ollama: Create Local LLM Applications course prerequisites

Course images

Sample video of the course

download link

Download file – 989 MB

File(s) password: www.downloadly.ir

File size

989 MB