If you want to build AI powered applications without relying on expensive cloud APIs or sending your data to third parties, this course shows you how to run powerful open source models locally using Ollama. It covers working with Llama, DeepSeek, Mistral, and other models to build chatbots, code assistants, summarizers, document analyzers, and automation tools.

This Course Offers

• A Complete Local AI Development Foundation: You will learn how to install and configure Ollama, run models like Llama 3, DeepSeek, Mistral, and Phi 2 locally, and integrate them into Python applications.
• Hands On with Real World AI Projects: You will build an AI news summarizer, a proofreading tool, a customer support chatbot, a financial report analyzer, and an AI job application screener using FastAPI and REST APIs.
• Full Stack AI Integration Skills: The course covers building AI powered web applications with FastAPI and Python, processing real time data through APIs, and deploying AI models into production ready applications.
• A Focus on Multiple Model Types: You will gain experience with NLP models, code completion models like CodeLlama, document analysis models like MedLlama2, and general purpose models for automation.

Why We Love This Course

1. It runs entirely locally with open source models. No API keys, no cloud subscriptions, no data leaving your machine. You get full control and privacy while working with state of the art models.
2. It is project based and practical. With 4 hours of content and real world projects including news summarizers, financial analyzers, and job screeners, you will build applications you can actually use.
3. It covers a wide range of models. You will work with Llama, DeepSeek, Mistral, QwQ, Phi 2, MedLlama2, Granite3.2, and CodeLlama, gaining experience across different architectures and specializations.
4. It is popular and well reviewed. With over 28,000 students and a 4.4 star rating, the course has helped many developers build full stack AI applications locally.

If you are a developer, data scientist, or entrepreneur who wants to build AI applications without cloud dependencies, this course provides the hands on, practical training you need.

• Students and self learners interested in AI who want a step by step guide to building practical AI applications.
• Startup founders and AI innovators looking to build AI powered products with open source, locally run models.
• Data analysts and researchers who want to use AI to analyze large text datasets like legal documents, news articles, or customer reviews.
• Developers and programmers who want to integrate AI models into web apps, automation tools, or software projects using Python and FastAPI.
• Tech entrepreneurs and product managers who need to develop AI driven applications for their businesses.

• Basic programming knowledge, especially Python, is helpful but not mandatory. The course guides you through the coding process.
• A basic understanding of AI and machine learning is beneficial but not required, as no deep ML knowledge is needed.
• Familiarity with web development (HTML, JavaScript, FastAPI) is optional and will help in building AI powered web apps.

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