Requirements

• Basic Computer Literacy: You should be comfortable with using a computer
• navigating file systems
• installing software
• and using a web browser.
• Interest in AI and LLMs: A genuine interest in the field of Artificial Intelligence and Large Language Models will greatly enhance your learning experience and motivation.
• Some Python Programming Experience.
• Basic Understanding of the Command Line/Terminal: We will be using the command line/terminal occasionally.

Description

Are you fascinated by the potential of Large Language Models (LLMs) but concerned about the costs and privacy implications of relying on cloud-based APIs? This course is your gateway to building powerful, free, and private AI applications using Ollama, the cutting-edge tool for running LLMs locally.

Why Ollama?

Ollama empowers you to harness the incredible capabilities of LLMs directly on your own machine. No more exorbitant API fees or worries about data security. With Ollama, you have complete control.

What You Will Learn:

This comprehensive course takes you from beginner to proficient in building real-world AI applications with Ollama. You'll master:

• Fundamentals of LLMs: Grasp the core concepts behind Large Language Models and their transformative potential.

• Ollama Deep Dive: Learn everything about Ollama, from installation and model management to customization and advanced features.

• Hands-on Model Interaction: Explore text and vision models, understanding their unique capabilities and how to leverage them.

• Fine-Tuning & Customization: Discover how to fine-tune existing models and customize them to perfectly fit your specific needs.

• Mastering the Ollama CLI: Become proficient with the Ollama command-line interface, unlocking its full potential for efficient workflow management.

• Ollama REST API: Learn to interact with Ollama programmatically using its REST API, enabling seamless integration with other applications.

• Python Programming for Ollama: Utilize the Ollama Python library to build powerful and flexible AI applications.

• Building Real-World Apps: Create practical and impactful AI applications, including chatbots, content generators, and more, all running locally and free of charge.

• Integration with Popular Tools: Explore seamless integration with tools like Msty, LM Studio, Open Web UI, and Streamlit to enhance your development workflow.

• Advanced Techniques: Dive into advanced topics like multi-model selection and leveraging specialized models like CodeLlama.

Course Features:

• Step-by-step video lectures: Learn at your own pace with clear and concise instruction.

• Practical hands-on exercises: Reinforce your learning with real-world projects and coding challenges.

• Downloadable resources and code: Access all the code examples and resources used in the course.

• Active Q&A forum: Get your questions answered and connect with fellow students.

• Lifetime access: Enjoy unlimited access to the course content and future updates.

Who Should Take This Course?

• Aspiring AI Developers: Anyone interested in building AI applications without relying on costly APIs.

• Developers Seeking Privacy: Individuals concerned about data privacy and looking for local LLM solutions.

• Python Programmers: Developers who want to leverage their Python skills to create AI-powered applications.

• AI Enthusiasts: Anyone curious about Large Language Models and eager to explore their practical applications.

Take Control of Your AI Development and Build Powerful, Free, and Private Applications with Ollama! Enroll Today!

Note: This course is continuously updated with new content and features. Enroll now and stay ahead of the curve in the exciting world of local LLMs and AI development!

Who this course is for:

• Aspiring AI Developers: Anyone interested in building AI applications without relying on costly APIs.
• Developers Seeking Privacy: Individuals concerned about data privacy and looking for local LLM solutions.
• Python Programmers: Developers who want to leverage their Python skills to create AI-powered applications.
• AI Enthusiasts: Anyone curious about Large Language Models and eager to explore their practical applications.