Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
2 Hour(s) 0 Minute(s)
Language
English
Taught by
Start-Tech Academy
Rating
4 views
Course Overview
Learn to create LLM applications in your system using Ollama and LangChain in Python | Completely private and secure
If you are a developer, data scientist, or AI enthusiast who wants to build and run large language models (LLMs) locally on your system, this course is for you. Do you want to harness the power of LLMs without sending your data to the cloud? Are you looking for secure, private solutions that leverage powerful tools like Python, Ollama, and LangChain? This course will show you how to build secure and fully functional LLM applications right on your own machine.
In this course, you will:
Set up Ollama and download the Llama LLM model for local use.
Customize models and save modified versions using command-line tools.
Develop Python-based LLM applications with Ollama for total control over your models.
Use Ollama's Rest API to integrate models into your applications.
Leverage LangChain to build Retrieval-Augmented Generation (RAG) systems for efficient document processing.
Create end-to-end LLM applications that answer user questions with precision using the power of LangChain and Ollama.
Why build local LLM applications? For one, local applications ensure complete data privacy—your data never leaves your system. Additionally, the flexibility and customization of running models locally means you are in total control, without the need for cloud dependencies.
Throughout the course, you’ll build, customize, and deploy models using Python, and implement key features like prompt engineering, retrieval techniques, and model integration—all within the comfort of your local setup.
What sets this course apart is its focus on privacy, control, and hands-on experience using cutting-edge tools like Ollama and LangChain. By the end, you’ll have a fully functioning LLM application and the skills to build secure AI systems on your own.
Ready to build your own private LLM applications? Enroll now and get started!
Course Content
- 6 section(s)
- 26 lecture(s)
- Section 1 Getting started with local models
- Section 2 Using Ollama with Python
- Section 3 Using LangChain in Python for LLM applications
- Section 4 Building Retrieval Augmented Generation - RAG applications
- Section 5 Building Tools and Agents based applications
- Section 6 Conclusion
What You’ll Learn
- Download and install Ollama for running LLM models on your local machine
- Set up and configure the Llama LLM model for local use
- Customize LLM models using command-line options to meet specific application needs
- Save and deploy modified versions of LLM models in your local environment
- Develop Python-based applications that interact with Ollama models securely
- Call and integrate models via Ollama’s REST API for seamless interaction with external systems
- Explore OpenAI compatibility within Ollama to extend the functionality of your models
- Build a Retrieval-Augmented Generation (RAG) system to process and query large documents efficiently
- Create fully functional LLM applications using LangChain, Ollama, and tools like agents and retrieval systems to answer user queries
Reviews
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LLuis Fernando Padron
El curso mee está gustando, va a una buena velocidad y el tamaño de los videos es justo para procesar, analizar y hacer los ejercicios. Le pongo solo cuatro estrellas porque la música de fondo es distractora.
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PPranay shahi
A practical and beginner-friendly course that helped me confidently build local LLM applications using Python and Ollama.
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AA Maheswar Rao
yes , it was very good content, it was meaningful and understandable for beginner also
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NNiel Bennett
The course has good information, and relatively good basic practical to do, for one to practice and learn.
