Library / Artificial Intelligence
Full-Stack AI with Ollama: Llama, Deepseek, Mistral, QwQ
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About this course
Full-Stack AI with Ollama: Llama, DeepSeek, Mistral, QwQ, Phi-2, MedLlama2, Granite3.2 is the ultimate hands-on AI development course that teaches you how to build and deploy real-world AI applications using the latest open-source AI models. Whether you're a beginner exploring artificial intelligence or an experienced developer, this course will provide you with practical projects to integrate large language models (LLMs) into web applications, automation tools, and advanced AI-driven solutions.
Throughout this course, you will learn how to install, configure, and use Ollama to run powerful AI models locally without relying on expensive cloud-based APIs. You’ll work with LLaMA 3, DeepSeek, Mistral, Mixtral, QwQ, Phi-2, MedLlama2, Granite3.2 and CodeLlama, gaining expertise in natural language processing (NLP), text generation, code completion, debugging, document analysis, sentiment analysis, and AI-driven automation.
The course is packed with real-world AI projects. You will develop an AI news summarizer, create an AI-powered proofreading tool, build a customer support chatbot, and implement an intelligent assistant for business automation. Each project provides hands-on experience with FastAPI, Python, Ollama, and REST APIs, ensuring you gain full-stack development skills in AI integration.
This course also teaches you how to fetch and process real-time data using APIs, making it ideal for those looking to build AI-driven applications that analyze real-time information. You’ll create a real-time news summarizer, an AI-powered financial report analyzer, and an AI job application screener to
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Udemy: 2026-09-27 · Coursera: 2026-09-27
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