December 2024
Intermediate
3h 14m
English
Closed Captioning available in English
Overview
In this 3-hour course, you'll learn to utilize Ollama to create secure and private large language model (LLM) solutions on your local system. By following step-by-step guidance, you'll gain practical skills in deploying, customizing, and integrating Ollama models with Python for advanced and interactive applications.
What I will be able to do after this course
- Deploy Ollama on your system for secure and private LLM solutions.
- Manipulate and customize model configurations using the Modelfile and CLI tools.
- Integrate Ollama models into Python applications utilizing compatible libraries and APIs.
- Develop retrieval-augmented generation (RAG) systems using LangChain and vector databases.
- Create advanced interface systems with ChatGPT-like functionality and voice-enabled interactions.
Course Instructor(s)
Paulo Dichone is a seasoned software developer and instructor with years of experience in teaching programming and artificial intelligence concepts. He specializes in delivering clear and practical instruction tailored for learners at various skill levels. Paulo's approachable teaching style ensures you not only understand concepts but also gain confidence in applying them to real-world projects.
Who is it for?
This course is ideal for developers, data scientists, and AI enthusiasts aiming to build secure, cloud-independent LLM solutions. If you possess a fundamental understanding of Python and command-line tools, this course will focus on guiding you through hands-on projects that deepen your knowledge and expertise.
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