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Easy Learning with LLMs & Ollama: Building Real World Free AI Apps with Ollama.
Development > Data Science
3h 6m
£17.99 £12.99
4 ★★★★★

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Language: English

Master Local LLMs: Build Free AI Apps with Ollama

What you will learn:

  • Master the fundamentals of Large Language Models (LLMs)
  • Become proficient in using the Ollama platform
  • Learn to manage and customize Ollama models
  • Explore and utilize text and vision models
  • Master Ollama's command-line interface (CLI)
  • Integrate Ollama with your applications using the REST API
  • Develop powerful AI applications with the Ollama Python library
  • Build real-world AI applications (chatbots, content generators, etc.)
  • Seamlessly integrate Ollama with Msty, LM Studio, Open Web UI, and Streamlit
  • Implement advanced techniques like multi-model selection and using CodeLlama
  • Gain lifetime access to course materials and future updates

Description

Tired of hefty cloud API costs and privacy concerns? This course empowers you to build powerful, free, and private AI applications using Ollama, a revolutionary tool for running Large Language Models (LLMs) locally.

Why choose this Ollama course? We go beyond the basics, guiding you from LLM fundamentals to building real-world applications. Learn to leverage the Ollama command-line interface (CLI), harness the Ollama REST API for seamless integration, and master the Ollama Python library for flexible development. This isn't just theory; you'll construct practical AI projects like chatbots and content generators, all running cost-effectively on your machine.

Here's what awaits you:

  • LLM Foundations: Demystify Large Language Models and understand their transformative potential.
  • Ollama Mastery: Become proficient with Ollama's installation, model management, and advanced customization features.
  • Hands-on Model Exploration: Experiment with text and vision models, discovering their unique capabilities and practical applications.
  • Model Fine-tuning & Personalization: Tailor pre-trained models to your exact requirements.
  • CLI Proficiency: Optimize your workflow with a deep understanding of the Ollama CLI.
  • API Integration: Seamlessly integrate Ollama with your applications through its REST API.
  • Python Development for Ollama: Build robust and adaptable AI applications using Python.
  • Real-World App Creation: Construct practical AI applications, including chatbots and content generators, locally and for free.
  • Tool Integration: Enhance your development process with seamless integration of Msty, LM Studio, Open Web UI, and Streamlit.
  • Advanced Techniques: Master advanced techniques such as multi-model selection and utilizing specialized models like CodeLlama.

This course includes step-by-step video lectures, downloadable resources, hands-on exercises, an active Q&A forum, and lifetime access. Whether you're an aspiring AI developer, a privacy-conscious programmer, or a curious AI enthusiast, this course provides the knowledge and skills you need to succeed. Enroll today and embark on your journey to building powerful, cost-effective, and privacy-respecting AI applications!

Continuous Updates: This course is constantly evolving, ensuring you always have access to the latest Ollama advancements.

Curriculum

Ollama Foundations & Core Concepts

This section lays the groundwork for your Ollama journey. You'll start with an introduction to LLMs and delve into the core features of Ollama, covering installation, model selection, and running your first models. You'll learn about fine-tuning, data cleaning, and the customization of Ollama models, along with dedicated sessions on interacting with text and vision models. The section culminates in an exploration of the `show info` command, a deep dive into Ollama commands, including multi-model selection and using models like CodeLlama, and concludes with detailed examination of Ollama model customization and the Ollama REST API.

Interfacing with Ollama: Popular Tools

This section focuses on practical application by integrating Ollama with widely used tools. You’ll learn how to seamlessly connect Ollama with Msty, LM Studio, and Open Web UI, expanding your AI development toolkit and allowing you to build applications using these popular interfaces. Each lesson will guide you through a practical integration tutorial and demonstrate the unique benefits of each combination.

Harnessing Ollama's Power with Python

Here, you'll unlock the potential of Ollama's Python library and learn how to utilize the Ollama REST API directly within your Python code. This section empowers you to integrate Ollama into your existing projects and build more sophisticated AI applications using the flexibility and power of Python.

Building a Real-World RAG Application

This section guides you through the practical construction of a Retrieval Augmented Generation (RAG) application using Ollama. You'll learn about the fundamentals of RAG, data ingestion techniques, vector embeddings, and integrating Qdrant. The final lesson will cover packaging and deploying your RAG application, complete with a user interface, allowing you to showcase your knowledge and use the application directly.

Constructing a Real-World AI Code Assistant

This section focuses on creating a practical AI code assistant. You'll learn about the basics of AI code assistants, handling memory management, and implementing chat capabilities. This section is composed of several video lectures that will guide you through the complete coding process and optimisation of your AI Code Assistant app.

Bonus Content

A brief concluding section expressing gratitude for your participation.