Mastering Local Llms With Ollama And Python + Doing Projects

What you will learn in the Mastering Local LLMs with Ollama and Python + Doing Projects course:

• Ollama Fundamentals: Mastering the installation and use of Ollama to run LLM on your local machine, understanding its benefits and capabilities.
• Python Integration: Learn how to connect Ollama with Python, enable programming control, and customize LLM interactions.
• Web Application Development: Explore Streamlit to create interactive web applications that leverage the power of local LLMs.
• Advanced LLM Integration: A deep dive into integrating LLM models with Streamlit applications, creating responsive and intelligent user interfaces.
• Dynamic Code Execution: Understanding and executing the ‘exec’ function to execute code stored as a string, opening up possibilities for dynamic and flexible programs.
• Output Handling: Master techniques for capturing and manipulating the output of dynamically executed code, increasing the interactivity of your programs.
• Educational Tool Development: Applying all concepts learned to create a Python learning tool, demonstrating practical applications of the LLM in educational technology.

This course is suitable for people who:

• Python developers interested in working with local LLM models
• AI enthusiasts looking to explore Ollama and its integration with Python
• Data scientists who want to incorporate LLMs into their workflow
• Software engineers with the goal of building artificial intelligence-based programs
• Students studying artificial intelligence or natural language processing
• Professionals looking to automate tasks using LLM models

Course prerequisites