Explore AI Development with Ollama: Your Guide to Full-Stack Solutions

Enroll in this Free Udemy Course on AI Full-Stack Development with Ollama! Start building intelligent applications today!

IA Full-Stack avec Ollama : Llama, Deepseek, Mistral is the ultimate practical training course designed to teach you how to develop and deploy concrete AI applications utilizing the latest open-source models. Whether you’re a beginner curious about artificial intelligence or an experienced developer, this course offers hands-on projects that integrate language models (LLMs) into web applications, automation tools, and advanced AI-driven solutions.

Throughout the course, you’ll learn how to install, configure, and utilize Ollama to run powerful models locally, without relying on expensive cloud APIs. You will work with LLaMA 3, DeepSeek, Mistral, Mixtral, QwQ, Phi-2, MedLlama2, Granite3.2, and CodeLlama, gaining experience in natural language processing (NLP), text generation, code completion, debugging, document analysis, sentiment analysis, and AI automation. The course is rich in practical projects—creating an intelligent news summarizer, AI-assisted proofreading tool, customer support chatbot, and an intelligent assistant to automate business tasks.

You will also learn to fetch and process real-time data through APIs, ideal for building AI applications that analyze current information streams. By the end of this comprehensive course, you will have built multiple AI projects covering full-stack development, NLP applications, chatbots, and solutions leveraging LLMs, enabling you to deploy AI models in production applications and leverage cutting-edge AI technologies for smart solutions. This course caters to developers, data scientists, entrepreneurs, researchers, and AI enthusiasts. Ready to elevate your AI skills? This course is for you!

What you will learn:

  • Deploy AI models: install, configure, and run them with Ollama.
  • Create AI apps: utilize LLaMA 3, Mistral, CodeLlama, Mixtral, and DeepSeek-R1.
  • Perform NLP processing: summarize, generate, and extract information from texts.
  • Develop AI assistants: chatbots, customer support, personal assistants.
  • Generate and debug code with CodeLlama to boost your productivity.
  • Integrate AI into web apps with FastAPI and a responsive interface.
  • Automate tasks: emails, reports, and resume creation.
  • Analyze real-time data from APIs and AI models.
  • Optimize model performance with precise prompts and responses.

Course Content:

  • Sections: 3
  • Lectures: 17
  • Duration: 4h 29m

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 and Machine Learning – No expertise in ML is needed, but knowing how AI models work is a plus.

Who is it for?

  • Students and self-taught individuals – Interested in AI but unsure where to start? This course requires no prior experience and guides you step by step.
  • Startup founders and AI innovators – Want to create AI-based products? This course offers hands-on projects to start your AI journey.
  • Data analysts and researchers – Want to extract insights from legal documents, articles, or customer reviews? Learn effective methods to analyze large text datasets.
  • Tech entrepreneurs and product managers – Need to develop AI applications for your business? Learn to create chatbots, content generators, and automation tools.
  • AI and machine learning enthusiasts – Interested in models like LLaMA 3, Mistral, Mixtral, CodeLlama, and DeepSeek-R1? Gain practical experience in deploying AI models.
  • Developers and programmers – Want to integrate AI into your web applications or software projects? This course teaches you how to create full-stack AI applications with Python and FastAPI.

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