Udemy

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

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  • 22,861 名學生
  • 更新於 3/2025
  • 可獲發證書
4.4
(168 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
3 小時 59 分鐘
教學語言
英語
授課導師
School of AI
證書
  • 可獲發
  • *證書的發放與分配,依課程提供者的政策及安排而定。
評分
4.4
(168 個評分)
3次瀏覽

課程簡介

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

Build AI Apps with Open-Source Models: NLP, Chatbots, Code Generation, Summarization, Automation & More(AI)

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!

課程章節

  • 3 個章節
  • 17 堂課
  • 第 1 章 Quick Start - Setting Up Ollama & First AI Model
  • 第 2 章 AI for Text Processing (NLP & LLMs)
  • 第 3 章 AI for Conversational Bots & Assistants

課程內容

  • 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.


評價

  • Y
    Yallanti Kumar
    4.5

    intresting

  • T
    Tanmay Patil
    3.5

    focun on small project only

  • K
    Kishori S
    5.0

    I very awesome! Thanks for sharing a wonderful knowledge

  • k
    kumkum soni
    5.0

    I am grateful for this opportunity and thank the entire team for their support and guidance. This internship has provided me with a strong foundation for my career. Let me know if you want it in Hindi or personalized for a specific company or field (like Java, data science, etc.).

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