Open-source LLMs: Uncensored & secure AI locally with RAG
Who is this course for
Entrepreneurs: Learn how to leverage open-source LLMs for cost-effective, secure AI solutions without relying on big tech providers.
Developers & Programmers: Master the skills of integrating and optimizing LLMs locally to create advanced AI applications and chatbots.
AI Enthusiasts & Tech Explorers: Dive deep into the world of open-source AI, unlocking the potential of fine-tuning LLMs and building your own custom solutions.
Course Overview
This course introduces learners to the world of open-source Large Language Models (LLMs) like Llama3, Mistral, and Phi3, enabling them to create and fine-tune AI applications with minimal reliance on commercial tools. You will learn to install and operate LLMs locally, create customized solutions using RAG, and master advanced techniques like function calling and prompt engineering. With practical applications such as building chatbots and AI agents, this course opens up the door to developing secure, uncensored AI technology.
Throughout the course, you will be guided by expert instructors through hands-on projects that simulate real-world AI challenges. The course emphasizes interactive learning, where you will develop AI solutions from scratch and explore cutting-edge technologies. By the end, you will have the skills to harness the power of open-source LLMs and deploy them efficiently and securely.
What You'll Learn
- Hands-on experience with open-source LLMs and AI agents for real-world applications.
- Comprehensive knowledge of prompt engineering, function calling, and Retrieval-Augmented Generation (RAG).
- Skills in AI deployment on local servers and using external APIs for advanced integrations.
- Certification of completion showcasing your expertise in the latest open-source AI tools.
