Full-Stack AI with Ollama: Llama, Deepseek, Mistral, QwQ
Requirements
Basic Programming Knowledge – Some familiarity with Python is helpful but not mandatory. We will guide you through the coding process.
Basic Understanding of AI & Machine Learning – No deep ML knowledge required, but knowing how AI models work will be beneficial.
Familiarity with Web Development (Optional) – Some experience with HTML, JavaScript, and FastAPI will help in building AI-powered web apps.
This course is structured to guide absolute beginners through AI development, while also providing advanced hands-on projects for experienced developers.
If you’re new to AI, we’ll cover everything step by step. If you’re an experienced developer, you’ll gain practical experience in building and deploying real-world AI applications using top AI models from Ollama.
Description
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 automate recruiting.
By the end of this course, you will have built AI-powered projects, covering full-stack AI development, text processing, natural language understanding, chatbot development, AI automation, and LLM-based applications. You will be confident in deploying AI models, integrating them into production-ready applications, and leveraging state-of-the-art AI technologies to build intelligent solutions.
Whether you are a developer, data scientist, entrepreneur, researcher, or AI enthusiast, this course will provide you with the skills to implement AI models effectively. You will gain hands-on expertise in building AI-powered web applications, integrating NLP models, and automating tasks with AI-driven tools. This course is perfect for those who want to bridge the gap between AI research and practical implementation by working with top-performing models from Ollama.
If you are ready to take your AI development skills to the next level and build cutting-edge AI-powered applications, then this is the perfect course for you!
Who this course is for:
Students & Self-Learners – Interested in AI but don’t know where to start? This course doesn’t require prior AI experience and will guide you step-by-step in building practical AI applications.
