Ollama Offline LLM Development Fundamentals with Python
Unleash the power of Llama 2 and Ollama with this hands-on course—run models locally, write smarter code, and build fully customized AI apps.
This course includes.
Curriculum & lectures.
+ Welcome! 📖 4 lectures Preview
+ Run and chat with Llama Language Model Chatbot ▶️ 4 lectures
+ Customize Ollama Models ▶️ 6 lectures
+ Customize Ollama Model for Sentiment Analysis ▶️ 3 lectures
+ Connect to Ollama with Python Client ▶️ 4 lectures
+ Security and Data Sovereignty 📖 3 lectures
About this course.
Perfect for developers, tinkerers, and AI builders, this course walks you through deploying, customizing, and interacting with powerful open-source LLMs using the command line, Python, and UI integration.
✅ Run and chat with Llama in your terminal
✅ Use Code Llama to write and debug code faster
✅ Explore uncensored and high-temperature model tuning with Ollama
✅ Customize models with reusable prompts, templates, and parameters
✅ Pull advanced models like Orca for deeper reasoning
✅ Build a sentiment analyzer with Ollama templates
✅ Connect to Ollama via Python and format responses with JSON
✅ Create a sleek user interface for LLM-powered chat apps
✅ List, manage, and delete custom models with ease
✅ And much more!
🧠 Reinforce your skills with engaging practice—interactive exercises, Mammoth Club online judge system that tests your code, and smart review tools designed to help key concepts stick.
🎁 Includes all source code, reusable templates, and lifetime access.
Whether you're building tools, apps, or custom assistants—this course gives you full control of Llama 2 and Ollama. Enroll now and start building with open-source AI today.
Taught by people who ship.
Alex Kropf
Mammoth Club's CLO, public speaker, consultant, IT author and Senior Software Developer. Alex has produced best-selling courses, books and workshops for Mammoth Club, Course Pro and our clients since 2016.
Ready to start building?
Unleash the power of Llama 2 and Ollama with this hands-on course—run models locally, write smarter code, and build fully customized AI apps.