Udemy – Mastering LLMs with Ollama, LangChain, CrewAI, Hugging Face 2024-10
Udemy – Mastering LLMs with Ollama, LangChain, CrewAI, Hugging Face 2024-10 Downloadly IRSpace

Mastering LLMs with Ollama, LangChain, CrewAI, Hugging Face. This comprehensive course is designed for developers, data scientists, and AI enthusiasts to give them the skills to harness the power of large local linguistic models (LLM) using Ollama and Python. Through a hands-on approach, students learn to seamlessly integrate advanced AI capabilities into their projects without relying on external APIs.
What you will learn in the Mastering LLMs with Ollama, LangChain, CrewAI, Hugging Face 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 details
- Publisher: Udemy
- Lecturer: Abdurrahman TEKIN
- Training level: beginner to advanced
- Training duration: 5 hour and 40 minutes
- Number of Course: 37
Course topics
Course prerequisites
- Basic Knowledge of Python
Course images
Sample video of the course
Installation guide
After Extract, view with your favorite Player.
Subtitle: English
Quality: 720p
Previous title:
Mastering Local LLMs with Ollama and Python + Doing Projects
Changes:
Version 2024/10 compared to 2024/6 has increased the number of 29 lessons and the duration of 4 hours and 38 minutes. English subtitles have also been added to the course.
Download Links
File(s) password: www.downloadly.ir
File size
5.31 GB