Build Powerful AI Applications with Ollama’s Full-Stack Course

Dive into the world of AI with the “Full-Stack AI met Ollama” course, where you’ll learn to build and implement real-world AI applications with the latest open-source AI models. Whether you’re just starting your journey in AI or are an experienced developer, this course is tailored to equip you with practical skills. Each module features hands-on projects that integrate large language models (LLMs) into web applications, automation tools, and advanced AI solutions.

Throughout this engaging course, you will install, configure, and utilize Ollama to run powerful AI models locally, eliminating the need for costly cloud APIs. You will work with cutting-edge models like LLaMA 3, DeepSeek, Mistral, and many more, while developing proficiencies in natural language processing (NLP), text generation, debugging, document analysis, and sentiment analysis. The course emphasizes real-world applications, guiding you to create an AI-driven news summarizer, a proofreading tool, a customer service chatbot, and an intelligent assistant for business automation, ensuring you gain hands-on experience with FastAPI, Python, and REST APIs.

As you progress, you will learn to retrieve and process real-time data through APIs—ideal for building applications that analyze current information. By the end of this course, you will have developed multiple AI projects covering full-stack development, text analysis, natural language understanding, chatbot creation, automation, and applications with large language models. With these skills, you will confidently implement and integrate AI models into production-ready applications. So, whether you are a developer, data scientist, entrepreneur, researcher, or an AI enthusiast—this course is your pathway to truly harnessing the power of AI in innovative applications!

What you will learn:

  • Install and run AI models locally using Ollama.
  • Build AI apps with LLaMA 3, Mistral, CodeLlama, Mixtral, and DeepSeek-R1.
  • Perform NLP tasks: summarization, generation, correction, and extraction.

Course Content:

  • Sections: 3
  • Lectures: 17
  • Duration: 4h 26m

Requirements:

  • Basic programming knowledge – Some experience with Python is helpful but not required as we guide you step-by-step through coding.
  • Basic understanding of AI and Machine Learning – No in-depth ML knowledge is needed, but knowing how AI models work is beneficial.

Who is it for?

  • Students & Self-learners – Interested in AI but not sure where to start? This course requires no experience and guides you step-by-step.
  • Startup founders & AI innovators – Want to build AI-driven products? This course provides practical projects to kickstart your AI journey.
  • Data analysts & Researchers – Looking to extract insights from legal documents or customer reviews? Learn to analyze large text datasets with AI.
  • Tech entrepreneurs & Product managers – Need AI apps for your business? Learn to build chatbots, content generators, and automation tools.
  • AI & Machine Learning Enthusiasts – Work with models like LLaMA 3, Mistral, Mixtral, CodeLlama, and DeepSeek-R1. Gain hands-on experience with model deployment.
  • Developers & Programmers – Integrate AI into your web apps or tools? Learn to build full-stack AI applications using Python and FastAPI.

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