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Full-Stack AI with Ollama: Llama, Deepseek, Mistral, QwQ
Rating: 4.6 out of 5(255 ratings)
30,587 students

Full-Stack AI with Ollama: Llama, Deepseek, Mistral, QwQ

Build AI Apps with Open-Source Models: NLP, Chatbots, Code Generation, Summarization, Automation & More(AI)
Created bySchool of AI
Last updated 3/2025
English
English [Auto],Turkish [Auto],

What you'll learn

  • Understand AI Model Deployment – Learn how to install, set up, and run AI models locally using Ollama.
  • Build AI-Powered Applications: Develop real-world AI applications using top models from Ollama, including LLaMA 3, Mistral, CodeLlama, Mixtral, and DeepSeek-R1.
  • Implement NLP Tasks – Work with AI models to summarize text, generate content, proofread documents, and extract key information from legal and business texts.
  • Develop AI-Powered Assistants – Build AI chatbots, customer support bots, and personal AI assistants using advanced LLMs.
  • Generate & Debug Code with AI – Utilize CodeLlama to auto-generate code, debug programming errors, and improve software development efficiency.
  • Integrate AI with Web Apps – Learn how to create full-stack applications with a FastAPI backend and interactive web UI, using AI models for real-time processing
  • Automate Business & Productivity Tasks – Implement AI solutions for automated email replies, AI-powered meeting summarization, and resume generation.
  • Work with Real-World Data & APIs – Fetch live data from news APIs, finance APIs, and customer reviews, and analyze them using AI models for insights.
  • Optimize AI Model Performance – Learn techniques for fine-tuning AI prompts, handling API responses, and improving response accuracy.

Course content

3 sections • 17 lectures • 3h 59m total length

  • Introduction to Section: Quick Start - Setting Up Ollama & First AI Model1:29

    Explore full stack ai with ollama, installing and configuring llama and other models like mistral and gamma. Build a simple ai powered chatbot and deploy a real-time chatbot interface.

  • Introduction to Ollama6:10

    discover ollama, a framework that runs large language models locally, enabling Llama and Mistral use with easy model management, installation, and deployment for chatbots and AI applications.

  • Installing & Setting Up Ollama13:28

    Install Ollama locally, set up a Python-based development environment with a virtual environment, install essential packages, then download and run the Mistral model to build a local artificial intelligence chatbot.

  • Up and Running with Python39:29

    Master Python from scratch by setting up your space with python.org, Thonny, VS Code, or Colab, and learn variables, input, math, conditionals, loops, lists, functions, and a Python guessing game.

  • Your First AI Project: AI Chat Assistant19:06

    Build a fast, real-time ai chat assistant with a fast api backend and a simple web ui, using Llama, Llama three, or Mistral models.

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.
  • Startup Founders & AI Innovators – If you’re looking to build AI-powered products, this course will provide you with hands-on projects to kickstart your AI journey.
  • Data Analysts & Researchers – Want to extract insights from legal documents, news articles, or customer reviews? Learn how to use AI to analyze large text datasets efficiently.
  • Tech Entrepreneurs & Product Managers – Need to develop AI-driven applications for your business? This course will show you how to build AI-powered chatbots, content generators, and automation tools.
  • AI & Machine Learning Enthusiasts – Interested in working with state-of-the-art models like LLaMA 3, Mistral, Mixtral, CodeLlama, and DeepSeek-R1? You’ll get hands-on experience with AI model deployment.
  • Developers & Programmers – Want to integrate AI models into web apps, automation tools, or software projects? This course will teach you how to build full-stack AI applications using Python & FastAPI.

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