Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Subscribe
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Master DeepSeek, Llama & other LLMs with OpenWebUI & Ollama
Rating: 3.4 out of 5(9 ratings)
1,694 students

Master DeepSeek, Llama & other LLMs with OpenWebUI & Ollama

Setup your own DeepSeek, Llama & other LLMs privately & securely. OpenWebUI based chat, no subscription & data sharing.
Created byTechLatest Net
Last updated 3/2025
English

What you'll learn

  • Learn to deploy, configure, and manage LLMs like DeepSeek and LLaMA using Open-WebUI and Ollama across AWS, GCP, and Azure with optimized performance.
  • Master API integration to embed LLMs in custom apps, automate workflows, and create AI-driven solutions with secure, efficient, and real-time data handling.
  • Optimize performance, allocate resources efficiently, and run multiple LLMs simultaneously for comparison, scalability, and faster inference speeds.
  • Gain expertise in using Ollama’s command-line tools to download, manage, and update LLMs, automate tasks, and streamline model workflows effectively.

Course content

1 section • 14 lectures • 1h 49m total length

  • Free Demo Access Request1:55

    We provide free demo access for the “DeepSeek & Llama-powered All-in-One LLM Suite.” To request a free demo, please reach out to us at marketing@techlatest.net with the subject “Free Demo Access Request - [Your Company Name]”

  • Course Overview and Objectives6:07

    This lecture provides an introduction to the course, outlining key objectives and learning outcomes. You'll gain an understanding of how to manage and deploy large language models (LLMs) effectively using Open-WebUI and Ollama.

  • Overview of Open-Webui8:39

    Explore Open-WebUI, an intuitive platform designed for managing LLMs. This lecture highlights its user-friendly interface, advanced features like Markdown and LaTeX support, and centralized access control through RBAC.

  • Overview of Ollama5:40

    Dive into Ollama, a powerful platform that simplifies LLM management. Learn how it streamlines model deployment, supports real-time content retrieval, and integrates seamlessly with Open-WebUI for a cohesive user experience.

  • Setup And Installation : Why choose Techlatest.net Setup5:20

    Discover the benefits of using the Techlatest.net VM setup, including cost and time efficiency, seamless API integration, and effortless model management. Understand why this setup is ideal for both individual developers and enterprise teams.

  • Setup and Installation of DeepSeek and Llama powered All in One LLM Suit on AWS11:01

    This lecture provides a step-by-step guide to installing Open-WebUI with Ollama on AWS. Learn how to configure instances, manage resources efficiently, and ensure optimal performance.

  • Setup and Installation of DeepSeek and Llama powered All in One LLM Suit on GCP15:17

    This lecture provides a step-by-step guide to setup and install Deepseek and Llama powered All in One LLM solution on GCP Platform. Learn how to configure instances, manage resources efficiently, and ensure optimal performance.

  • Setup and Installation of DeepSeek & Llama powered All in One LLM Suit on Azure13:43

    Explore the installation process on Microsoft Azure. Understand how to optimize configurations, manage models, and utilize Azure's cloud capabilities for LLM deployment.

  • Ollama Command Line6:12

    Gain hands-on experience with Ollama's command-line interface. Learn essential commands for downloading, running, and managing LLMs efficiently.

  • How to Resize the VM for Various Models8:48

    Learn to adjust VM resources like CPU, RAM, and storage for different LLMs. Optimize performance, reduce costs, and scale efficiently on AWS, GCP, and Azure.

  • How to Download and Pull New Models in Open-WebUI through Ollama6:19

    This lecture demonstrates how to easily download and pull new LLMs using Ollama within Open-WebUI. Understand model versioning, compatibility, and integration techniques.

  • How to Run Multiple Models Simultaneously5:27

    Learn strategies for running multiple LLMs simultaneously. This lecture covers resource allocation, performance optimization, and side-by-side model comparison in Open-WebUI.

  • Troubleshoot and Fix Common Errors in Open WebUI Chat Interface8:53

    Encountering issues while running OpenWebUI behind an Nginx proxy? In this video, we cover how to troubleshoot and fix common errors, including:

    ✅ Network Error – Fixing connectivity issues when accessing OpenWebUI through Nginx.

    ✅ JSON.Parse Error – Debugging and resolving JSON parsing issues.

    ✅ Ollama:500 "Internal Server error" – Understanding and fixing the Ollama internal server error

  • How to Upgrade Open WebUI in DeepSeek & Llama Powered All-in-One LLM Suite6:30

    This video walks you through the step by step process of upgrading Open WebUI chat interface in "DeepSeek & Llama Powered All-in-One LLM Suite".


    ? What’s Covered:

    ✅ Checking for the latest Open WebUI container update

    ✅ Pulling the latest Open WebUI container

    ✅ Restarting Open WebUI with the updated version

    ✅ Verifying the upgrade


Requirements

  • Basic Computer Skills: Familiarity with using a command line interface (CLI) and navigating cloud platforms is beneficial.
  • Understanding of AI & LLMs : Some knowledge of large language models and AI concepts can be helpful but is not mandatory.
  • Cloud Platform Access : If deploying on AWS, GCP, or Azure, having an active account on any of these platforms will help with hands-on learning.
  • A Computer with Internet Access: A stable internet connection and a computer capable of running cloud-based tools and VM instances.

Description

This comprehensive course is designed to equip developers, AI enthusiasts, and enterprise teams with the skills needed to master large language models (LLMs) such as DeepSeek, LLaMA, Mistral, Gemma, and Qwen using Open-WebUI and Ollama. You will learn how to deploy, manage, and optimize these powerful models across various cloud platforms, including AWS, GCP, and Azure.

The course covers everything from foundational concepts to advanced implementation strategies. It begins with an overview of Open-WebUI and Ollama, introducing their intuitive interfaces and real-time capabilities. You'll gain hands-on experience with setting up environments, integrating APIs, managing models through command-line interfaces, and running multiple models simultaneously for side-by-side evaluation.

Key benefits include understanding how to maintain data privacy, avoid vendor lock-in, and leverage cost-effective deployment strategies without the need for expensive GPU instances. Whether you're developing AI applications, conducting LLM inference and evaluation, or seeking alternatives to commercial AI chat solutions, this course provides the tools and knowledge required to excel in the rapidly evolving world of LLMs. Additionally, you'll gain insights into best practices for performance optimization, ensuring efficient resource utilization, and scaling AI applications seamlessly to meet diverse project requirements and business goals effectively, with greater benefits, accuracy, reliability, and speed.

Who this course is for:

  • AI Enthusiasts & Developers: Those interested in deploying, managing, and integrating LLMs into applications.
  • Data Scientists & Machine Learning Engineers: Professionals who want to experiment with different LLMs and optimize their performance.
  • Cloud & DevOps Engineers: Individuals looking to set up and manage LLMs on AWS, GCP, or Azure efficiently.
  • Tech Entrepreneurs & Startups: Anyone wanting to build AI-powered products without vendor lock-in or expensive GPU resources.

Report abuse