Zero to Hero in Ollama: Create Local LLM Applications



Run customized LLM models on your system privately | Use ChatGPT like interface | Build local applications using Python

What you will learn

Install and configure Ollama on your local system to run large language models privately.

Customize LLM models to suit specific needs using Ollama’s options and command-line tools.

Execute all terminal commands necessary to control, monitor, and troubleshoot Ollama models

Set up and manage a ChatGPT-like interface using Open WebUI, allowing you to interact with models locally

Deploy Docker and Open WebUI for running, customizing, and sharing LLM models in a private environment.

Utilize different model types, including text, vision, and code-generating models, for various applications.

Create custom LLM models from a gguf file and integrate them into your applications.

Build Python applications that interface with Ollama models using its native library and OpenAI API compatibility.

Develop a RAG (Retrieval-Augmented Generation) application by integrating Ollama models with LangChain.

Implement tools and agents to enhance model interactions in both Open WebUI and LangChain environments for advanced workflows.

Why take this course?

🚀 Zero to Hero in Ollama: Create Local LLM Applications 🌟

Headline: Run customized LLM models on your system privately | Use ChatGPT like interface | Build local applications using Python


🎉 Course Description:


Are you fascinated by the capabilities of large language models (LLMs) like ChatGPT but concerned about privacy and data security? Do you aspire to harness this technology within your own environment, without relying on cloud services? If you’re a developer, data scientist, or an AI aficionado eager to create local LLM applications, then our course “Zero to Hero in Ollama” is your perfect launchpad!

This comprehensive course is designed to guide you from novice to expert in utilizing Ollama, an innovative platform that enables the execution of local LLM models on your personal system. You’ll dive into the world of AI, learning how to set up, customize, and manage these powerful models, all while ensuring the privacy and security of your data.


What You Will Learn:

🛠️ Install and Customize Ollama: Get started by installing Ollama on your system and learn how to customize it to run LLM models tailored to your needs.

📥 Master Command-Line Tools: Gain proficiency with the command-line tools essential for controlling and optimizing Ollama’s performance.

🔄 Run a ChatGPT-like Interface: Discover how to set up a ChatGPT-like interface on your system using Open WebUI, opening up new possibilities for local interaction with LLMs.

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🚀 Integrate Various Models: Explore the integration of diverse models including text, vision, and code generation, and even create your own custom models.

⚛️ Build Python Applications: Learn to build robust Python applications using Ollama’s library, with compatibility with the OpenAI API for a seamless development experience.

🧠 Leverage LangChain: Enhance your LLM capabilities with LangChain, including mastering Retrieval-Augmented Generation (RAG) to interact with your data in innovative ways.

🔄 Deploy Tools and Agents: Interact with Ollama models through both terminal and LangChain environments, deploying tools and agents that make managing LLMs intuitive and effective.


Why This Course?

In an era where privacy concerns are at the forefront, being able to run LLMs locally is not just a skill—it’s a necessity for those who prioritize data security. This course equips you with the knowledge to build private applications without external dependencies, ensuring your sensitive information stays within your control.

Through hands-on projects and real-world applications, you’ll gain practical experience that goes beyond theoretical learning. Whether you’re new to LLMs or looking to advance your expertise, “Zero to Hero in Ollama” is tailored to meet your needs.


👩‍💻 Why Enroll Today?

  • Practical Knowledge: Transition from learner to builder with hands-on projects that make AI accessible and practical.
  • Real-World Applications: Learn by doing, with exercises designed to showcase the immediate applications of your newfound skills.
  • Expert Guidance: Benefit from the specialized insights of an instructor dedicated to demystifying advanced AI topics.
  • Privacy Focus: Emphasize privacy and security in your AI endeavors with a platform that runs models on your system.

If you’re ready to take control of your AI journey and build LLM-powered applications locally, this is your moment! 🌈 Enroll now in “Zero to Hero in Ollama” and unlock the full potential of AI right at your fingertips. Let’s embark on this transformative learning experience together! 🚀🎉

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