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Run Local LLMs with Ollama: From No-Code to Python Code

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Run Local LLMs with Ollama: From No-Code to Python Code

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In this course, Ollama Demystified: No-Code Python Codes for AI Beginners, we have primarily used Meta Llama as the foundational Large Language Model (LLM). However, the techniques and methodologies covered throughout the course are not limited to Meta Llama alone. The same principles can be seamlessly applied to other open-source models such as DeepSeek, Qwen, and many more.Our goal is to equip you with a solid understanding of how to work with LLMs using both no-code tools and Python programming, enabling you to adapt these skills to various models based on your specific needs and preferences.Welcome Learners, Unlock the power of cutting-edge AI with Meta LLaMA 3 in this comprehensive beginner-to-pro course! Whether you're new to AI or looking to deepen your expertise, this course offers a step-by-step guide to mastering Meta’s advanced LLaMA 3 language model using Ollama, an intuitive platform that simplifies working with local LLMs.You’ll start with the basics, understanding what LLaMA 3 is and how it differs from other AI models. Gradually, you'll dive into hands-on projects that guide you through setup, fine-tuning, and leveraging its capabilities for real-world applications. By the end of the course, you’ll confidently use LLaMA 3 with Ollama to build projects, solve problems, and stay at the forefront of AI innovation.Who Is This Course For?This course is designed for:Beginners eager to explore AI with no prior experience.Tech enthusiasts who want to understand and use advanced AI models.Developers aiming to integrate AI into personal or professional projects.What You will Learn ?1. Introduction to AI , Neural Networks LLM1.1 Introduction1.2 What is AI - Artificial Intelligence1.3 AI Vs ML Vs DL1.4 Wha

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